@article{nakamura-2023-imwut, title = {eat2pic: An Eating-Painting Interactive System to Nudge Users into Making Healthier Diet Choices}, author = {Yugo Nakamura , Rei Nakaoka , Yuki Matsuda , Keiichi Yasumoto}, url = {https://dl.acm.org/doi/10.1145/3580784}, doi = {10.1145/3580784}, year = {2023}, date = {2023-03-28}, journal = {Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies}, volume = {7}, number = {24}, issue = {1}, pages = {1--23}, abstract = {Given the complexity of human eating behaviors, developing interactions to change the way users eat or their choice of meals is challenging. In this study, we propose an interactive system called eat2pic designed to encourage healthy eating habits such as adopting a balanced diet and eating more slowly, by refraining the task of selecting meals into that of adding color to landscape pictures. The eat2pic system comprises a sensor-equipped chopstick (one of a pair) and two types of digital canvases. It provides fast feedback by recognizing a user's eating behavior in real time and displaying the result on a small canvas called "one-meal eat2pic." Moreover, it also provides slow feedback by displaying the number of colors of foods that the user consumed on a large canvas called "one-week eat2pic." The former was designed and implemented as a guide to help people eat more slowly, and the latter to encourage people to select more balanced menus. Through two user studies, we explored the experience of interaction with eat2pic, in which users' daily eating behavior was reflected in a series of "paintings," that is, images produced by the automated system. The experimental results suggest that eat2pic may provide an opportunity for reflection in meal selection and while eating, as well as assist users in becoming more aware of how they are eating and how balanced their daily meals are. We expect this system to inspire users' curiosity about different diets and ways of eating. This research also contributes to expanding the design space for products and services related to dietary support.}, keywords = {Activity recognition, behavior change, behavior change support system, human computer interaction}, pubstate = {published}, tppubtype = {article} } @inproceedings{bastwesy-wcnc2023, title = {Wi-Nod: Head Nodding Recognition by Wi-Fi CSI Toward Communicative Support for Quadriplegics}, author = {Marwa R. M. Bastwesy, Kiichiro Kai, Hyuckjin Choi, Shigemi Ishida, Yutaka Arakawa}, year = {2023}, date = {2023-03-26}, booktitle = {IEEE Wireless Communications and Networking Conference (WCNC)}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } @inproceedings{ishimaru-demo-percom2023, title = {QoS-Aware Point Cloud Streaming of Wild Animals/Humans for Interactions in Virtual Space}, author = {Hiroki Ishimaru, Yugo Nakamura, Manato Fujimoto, Hirohiko Suwa, Keiichi Yasumoto}, year = {2023}, date = {2023-03-13}, urldate = {2023-02-13}, booktitle = {2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops, Demo)}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } @inproceedings{mayumi-demo-percom2023, title = {Kaolid: Lid-type Olfactory Interface to Improve Taste of Beverages with Ortho-Retronasal Smell}, author = {Daiki Mayumi, Yugo Nakamura, Yuki Matsuda, Kentaro Ueda, Shinya Misaki, Keiichi Yasumoto}, year = {2023}, date = {2023-03-13}, booktitle = {2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops, Demo)}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } @inproceedings{fujimoto-privacom2023, title = {Differential Privacy with Weighted ϵ for Privacy-Preservation in Human Activity Recognition}, author = {Ryusei Fujimoto, Yugo Nakamura, Yutaka Arakawa}, year = {2023}, date = {2023-03-13}, urldate = {2023-03-13}, booktitle = {2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops, PrivaCom 2023)}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } @inproceedings{dawton-wristsense2023, title = {C-HAR: Compressive Measurement-Based Human Activity Recognition}, author = {Billy Dawton, Shigemi Ishida, Yutaka Arakawa}, year = {2023}, date = {2023-03-13}, urldate = {2023-03-13}, booktitle = {2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops, WristSense 2023)}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } @inproceedings{ishimaru-clound2things2023, title = {A QoS-Aware 3D Point Cloud Streaming from Real Space for Interaction in Metaverse}, author = {Hiroki Ishimaru, Yugo Nakamura, Manato Fujimoto, Hirohiko Suwa, Keiichi Yasumoto}, year = {2023}, date = {2023-03-13}, urldate = {2023-03-13}, booktitle = {2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops, Cloud2Things 2023)}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } @conference{ozono_wssit2023, title = {ゴミ捨て行動における誘因を活用した介入による行動変容に関する調査}, author = {大園 咲奈, 甲斐 貴一朗, 織 睦樹, 中村 優吾, 荒川 豊, 山崎 悠大, 曹 蓮, 柏本 幸俊, 上坂 大輔}, url = {https://arakawa-lab.com/wp-content/uploads/2023/02/WSSIT2023_ProsocialBehavior_Ozono.pdf}, year = {2023}, date = {2023-03-09}, urldate = {2023-03-09}, booktitle = {行動変容と社会システム研究会 in WSSIT2023}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @conference{arakawa-wssit2023, title = {大規模広告位置データによる観光施策立案評価システムの実現とサービス化}, author = {荒川豊, 酒井幸輝, 野林大起, 石田繁巳, 塚本和也, 池永全志, 峯恒憲}, year = {2023}, date = {2023-03-09}, urldate = {2023-03-09}, booktitle = {行動変容と社会システム研究会 in WSSIT2023}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @conference{tokunaga-2023WSSIT, title = {日本人労働者の心身状態に対するCovid-19の影響度合いの調査}, author = {徳永大空,中村勇吾,荒川豊}, year = {2023}, date = {2023-03-09}, urldate = {2023-03-09}, booktitle = {社会システムと知能合同研究会 in WSSIT 2023}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @conference{motomatsu-2023wssit, title = {ユーザの商品に対する興味推定に基づく補足情報提示の受容性検証}, author = {本松大夢,徳永大空,杉原賢次,尾崎保乃花,安田真理,中村優吾,荒川豊}, year = {2023}, date = {2023-03-09}, urldate = {2023-03-09}, booktitle = {行動変容と社会システム研究会 in WSSIT 2023}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @conference{hamatani_BTI2023, title = {目標宣言共有型プラットフォームを用いたソーシャルナッジの量的質的効果の評価}, author = {濱谷尚志, 落合桂一, 山田渉, 檜山聡, 白井拓也, 荒川豊}, year = {2023}, date = {2023-03-06}, urldate = {2023-03-06}, booktitle = {情報処理学会IoT行動変容学(BTI)研究グループ第3回研究会}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @conference{sakai_bti2023, title = {インセンティブとの組み合わせを前提としたナッジ効果測定のための実験設計方法}, author = {酒井亮勢, 落合桂一, 井手崇博, 大滝亨, 山田曉, 鈴木喬, 佐藤弘之, 川上博, 矢野達也, 大川博生, 和久井圭祐, 白井拓也, 荒川豊, 星野崇宏}, year = {2023}, date = {2023-03-06}, booktitle = {情報処理学会IoT行動変容学(BTI)研究グループ第3回研究会}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @conference{joya_bti2023, title = {オンライン会議中の参加状態推定と音声変換提示による参加促進手法の提案}, author = {城谷 知葵, 難波 洸也, 中村 優吾 and 荒川 豊}, year = {2023}, date = {2023-03-06}, urldate = {2023-03-06}, booktitle = {情報処理学会IoT行動変容学(BTI)研究グループ第3回研究会}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @conference{matsuo_bti2023, title = {継続的な学習機能を有するWiFi ポータルシステムの設計と実装}, author = {松尾周汰, 中村優吾 and 荒川豊}, year = {2023}, date = {2023-03-06}, booktitle = {情報処理学会IoT行動変容学(BTI)研究グループ第3回研究会}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @conference{saito_bti2023, title = {法人向け運動促進アプリケーションにおけるインセンティブが身体活動に及ぼす影響の分析}, author = {斉藤虎太郎, 江口直輝, 荒川豊 and 中村優吾}, year = {2023}, date = {2023-03-06}, booktitle = {情報処理学会IoT行動変容学(BTI)研究グループ第3回研究会}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @conference{mayumi_bti2023, title = {Kaolid: 飲料の味変化のための口中香を実現する蓋型嗅覚デバイスの設計と基礎評価}, author = {真弓 大輝, 中村 優吾, 松田 裕貴, 三崎 慎也, 安本 慶一}, year = {2023}, date = {2023-03-06}, urldate = {2023-03-06}, booktitle = {情報処理学会IoT行動変容学(BTI)研究グループ第3回研究会}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @conference{oshiro_ipsj2023, title = {購買予測モデルの精度向上-タッチ操作ログと購入意向の影響について-}, author = {尾城 奈緒子, アディラ アフィカ, 徳永 大空, 中村 優吾, 荒川豊}, year = {2023}, date = {2023-03-02}, urldate = {2023-03-02}, booktitle = {情報処理学会第85回全国大会}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @conference{takano_ipsj2023, title = {公共空間のAIカメラによる人流計測とオープンデータ化への取り組み}, author = {高野 茂, 高取 千佳, 黒瀬 武史, 荒川 豊}, year = {2023}, date = {2023-03-02}, booktitle = {情報処理学会第85回全国大会}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @conference{tanaka_mve2023, title = {中学生を対象とした授業に向けたリアクションボタンシステムの基礎検討}, author = {田中宏昌, 福元達也, 山本健吾, 東野友昭 and 福嶋政期}, year = {2023}, date = {2023-01-26}, booktitle = {メディアエクスペリエンス・バーチャル環境基礎研究会(MVE)}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @inproceedings{ieee-bigdata-docomo, title = {Encouraging Crowd Avoidance Behavior using Dynamic Pricing Framework Towards Preventing the Spread of COVID-19}, author = {Keiichi Ochiai, Hiroyuki Sato, Hiroshi Kawakami, Takahiro Ide, Toru Otaki, Akira Yamada, Tatsuya Yano, Hiroki Okawa, Takuya Shirai, Yutaka Arakawa}, year = {2022}, date = {2022-12-17}, booktitle = {2022 IEEE International Conference on Big Data (IEEE BigData 2022)}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } @conference{fujimoto_ipsj-bti2022, title = {行動変容支援サービスにおけるユーザ保護と有用性を両立する重み付きϵ-差分プライバシーの提案}, author = {藤本 隆晟, 中村 優吾, 荒川 豊}, url = {https://arakawa-lab.com/wp-content/uploads/2022/11/0e7ae2b905b47c8002085358b5646e27.pdf}, year = {2022}, date = {2022-11-21}, booktitle = {情報処理学会IoT行動変容学研究グループ 第2回研究会 (IPSJ BTI2)}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @conference{tanaka_ipsj-bti2022, title = {PC作業時のスマホ利用を抑制するコンテンツ制限手法の検討}, author = {田中 宏和, 中村 優吾, 荒川 豊}, url = {https://arakawa-lab.com/wp-content/uploads/2022/11/tanaka-abst-SIG-BTI22.pdf}, year = {2022}, date = {2022-11-21}, booktitle = {情報処理学会IoT行動変容学研究グループ 第2回研究会 (IPSJ BTI2)}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @conference{matsuo_ipsj-bti2022, title = {ナッジフレームを適用したCaptive Portalによるセキュリティリテラシ向上支援システムの検討と評価}, author = {松尾 周汰, 中村 優吾, 荒川 豊}, url = {https://arakawa-lab.com/wp-content/uploads/2022/11/0eb3956d9b52e06e85b5d7e980845575.pdf}, year = {2022}, date = {2022-11-21}, booktitle = {情報処理学会IoT行動変容学研究グループ 第2回研究会 (IPSJ BTI2)}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @conference{kubo_ipsj-bti2022, title = {ユーザアクティビティに応じた機能制限によるPC作業時の健康支援システムの提案}, author = {久保 彰悟, 田中 宏和, 中村 優吾, 荒川 豊}, year = {2022}, date = {2022-11-21}, booktitle = {情報処理学会IoT行動変容学研究グループ 第2回研究会 (IPSJ BTI2)}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @conference{ori_ipsj-bti2022, title = {誘因と説得と集団随伴性を活用したハイブリット介入による行動変容の効果検証}, author = {織 睦樹, 甲斐 貴一朗, 大園 咲奈, 中村 優吾, 荒川 豊, 山崎 悠大, 曹 蓮, 柏本 幸俊, 上坂 大輔}, url = {https://arakawa-lab.com/wp-content/uploads/2022/11/IPSJ_SIG_BTI_Ori.pdf}, year = {2022}, date = {2022-11-21}, booktitle = {情報処理学会IoT行動変容学研究グループ 第2回研究会 (IPSJ BTI2)}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @conference{ozono_ipsj-bti2022, title = {フェムテックによる本人及び周辺の人の行動変容支援に関する調査}, author = {大園 咲奈, 中村 優吾, 荒川 豊}, year = {2022}, date = {2022-11-21}, booktitle = {情報処理学会IoT行動変容学研究グループ 第2回研究会 (IPSJ BTI2)}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @article{access2022-ishikawa, title = {Unsupervised Learning of Domain-Independent User Attributes}, author = {Yuichi Ishikawa, Roberto Legaspi, Kei Yonekawa, Yugo Nakamura, Shigemi Ishida, Tsunenori Mine, Yutaka Arakawa}, doi = {10.1109/ACCESS.2022.3220781}, issn = {2169-3536}, year = {2022}, date = {2022-11-09}, journal = {IEEE Access}, volume = {10}, pages = {119649-119665}, abstract = {Learning user attributes is essential for providing users with a service. In particular, for e-commerce portals which deal in variety of goods ranging from clothes to foods to home electronics, it is especially important to learn “domain-independent” attributes such as age, gender, and personality that affect people’s behavior across various domains of daily life (e.g., clothing, eating and housing) because these attributes can be used for personalization in diverse domains their service covers. Thus far, researchers have proposed approaches to learn user representation (UR) from user-item interactions, trying to embed rich information about user attributes in UR. However, very few can learn URs that are domain-independent without confounding them with domain-specific attributes (e.g., food preferences). This could consequently undermine the former’s utility for personalizing services in other domains from which the URs are not learned. To address this, we propose an approach to learn URs that exclusively reflect domain-independent attributes. Our approach introduces a novel multi-layer RNN with two types of layers: Domain Specific Layers (DSLs) for modeling behavior in individual domains and a Domain Independent Layer (DIL) for modeling attributes that affect behavior across multiple domains. By exchanging hidden states between these layers, the RNNs implement the process of domain-independent attributes affecting domain-specific behavior and makes the DIL learn URs that capture domain-independence. Our evaluation results confirmed that the URs learned by our approach have greater utility in predicting behavior in the other domains from which these URs were not learned thereby demonstrating adaptability to various domains.}, keywords = {}, pubstate = {published}, tppubtype = {article} } @inproceedings{hattori-abc2022, title = {Function Estimation of Multiple IoT Devices by Communication Traffic Analysis}, author = {Yuichi Hattori, Yutaka Arakawa, Sozo Inoue}, url = {https://arakawa-lab.com/wp-content/uploads/2022/11/ABC2022_07_hattori.pdf}, year = {2022}, date = {2022-10-27}, urldate = {2022-10-27}, booktitle = {The 4th International Conference on Activity and Behavior Computing (ABC2022)}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } @conference{kawatani-dpsws2022, title = {路線バスと他の交通機関との乗り換え時間設定に対する乗り換え成立状況の解析と運行ダイヤ改善指標の改良検討}, author = {川谷 卓哉, 荒川 豊, 峯 恒憲}, url = {https://arakawa-lab.com/wp-content/uploads/2022/10/IPSJ_DPSWS2022_kawatani.pdf}, year = {2022}, date = {2022-10-24}, urldate = {2022-10-24}, booktitle = {第30回 マルチメディア通信と分散処理ワークショップ (DPSWS2022)}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @conference{mayumi-dpsws2022, title = {鼻腔経路の異なる香りを提示可能なデバイスの設計と味覚に与える影響の基礎評価}, author = {真弓 大輝, 中村 優吾, 松田 裕貴, 三崎 慎也, 安本 慶一}, url = {https://arakawa-lab.com/wp-content/uploads/2022/10/DPSW2022_Mayumi.pdf}, year = {2022}, date = {2022-10-24}, urldate = {2022-10-24}, booktitle = {第30回 マルチメディア通信と分散処理ワークショップ (DPSWS2022)}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @conference{kai-dpsws2022, title = {リアルタイム感情フィードバックによるカメラオフ会議でのコミュニケーションの円滑化}, author = {甲斐 貴一朗, 織 睦樹, 江口 直輝, 大平 祐大, 中村 優吾, 福嶋 政期, 荒川 豊}, url = {https://arakawa-lab.com/wp-content/uploads/2022/10/2022_DPSWS_Kiichiro_Kai_camera_ready.pdf}, year = {2022}, date = {2022-10-24}, urldate = {2022-10-24}, booktitle = {第30回 マルチメディア通信と分散処理ワークショップ (DPSWS2022)}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @conference{tanaka-2022vr, title = {VR酔いを軽減するための周辺視野コントラスト低減手法の提案}, author = {田中 稜太郎, 福嶋 政期, Hautasaari Ari, 苗村 健}, year = {2022}, date = {2022-09-12}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @inproceedings{nakamura-wellcomp2022, title = {Color-wall: Adaptive Color Filter to Reduce Digital Distractions during PC Work}, author = {Yugo Nakamura, Hirokazu Tanaka, Yutaka Arakawa}, url = {https://arakawa-lab.com/wp-content/uploads/2022/09/WellComp2022_color_wall_camera.pdf}, year = {2022}, date = {2022-09-11}, urldate = {2022-09-11}, booktitle = {5th International Workshop on Computing for Well-Being (WellComp 2022) in ACM UbiComp 2022}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } @inproceedings{mayumi-wellcomp2022, title = {Aromug: Mug-type Olfactory Interface to Assist in Reducing Sugar Intake}, author = {Daiki Mayumi, Yugo Nakamura, Yuki Matsuda, Shinya Misaki, Keiichi Yasumoto}, url = {https://arakawa-lab.com/wp-content/uploads/2022/09/WellComp2022_Aromug_camera.pdf}, year = {2022}, date = {2022-09-11}, urldate = {2022-09-11}, booktitle = {5th International Workshop on Computing for Well-Being (WellComp 2022) in ACM UbiComp 2022}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } @inproceedings{smartdata2022-watanabe, title = {How do Programmers Use the Internet? Discovering Domain Knowledge from Browsing and Coding Behaviors}, author = {Ko Watanabe, Yuki Matsuda, Yugo Nakamura, Yutaka Arakawa, Shoya Ishimaru}, url = {https://arakawa-lab.com/wp-content/uploads/2022/08/2022_smartdata_watanabe.pdf}, year = {2022}, date = {2022-08-25}, urldate = {2022-08-22}, booktitle = {The 8th IEEE International Conference on Smart Data (SmartData 2022)}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } @article{access2022-umeki, title = {Large-Scale Evacuation Shelter Selection Method Through Iterations of Pedestrian Simulations With Dynamic Congestion Reproduction}, author = {Kazuhito Umeki and Tomoki Tanaka and Yugo Nakamura and Manato Fujimoto and Teruhiro Mizumoto and Hirohiko Suwa and Yutaka Arakawa and Keiichi Yasumoto}, doi = {10.1109/ACCESS.2022.3194874}, issn = {2169-3536}, year = {2022}, date = {2022-08-25}, journal = {IEEE Access}, volume = {10}, pages = {89387-89401}, abstract = {It is necessary to optimize evacuation guidance to shelters in short evacuation time. The state-of-the-art method based on an idea of combinatorial optimization problems related to evacuees’ locations and the capacities of nearby shelters has been developed, while it cannot mitigate the effect of congestion on roads/streets after evacuation starts. In this study, to cover this problem, we develop a new method that utilizes simulations for estimating the effect of congestion on roads/streets during evacuation and reassigning shelters to evacuees based on the simulation results. By iterating this step, our method derives the congestion-aware solutions for shelter selection that can realize more smooth evacuation. To evaluate our method, we conducted multi-agent simulations assuming a disaster situation in a sightseeing spot. Specifically, we examined a hypothetical case scenario involving the evacuation of 30,000 visitors from the Gion Festival. We compared the proposed method with conventional methods, such as the nearest shelter selection method and our previous method. We found that our proposed method reduced average and total evacuation time and congestion on roads compared to the conventional methods including the nearest shelter selection method and our previous method that only employs combinatorial optimization without estimating congestion. From this result, our idea of simulation-based congestion estimation has an impact of easing congestion during evacuation and preventing overcapacity of shelters at the same time. It shows the possibilities of help in developing congestion-aware evacuation strategies in emergency situations of crowded areas like huge cities or sightseeing spots.}, keywords = {}, pubstate = {published}, tppubtype = {article} } @conference{takenawa-2022siggraph, title = {ReQTable: Square tabletop display that provides dual-sided mid-air images to each of four users}, author = {Mizuki Takenawa, Tomoyo Kikuchi, Yuchi Yahagi, Shogo Fukushima, and Takeshi Naemura}, year = {2022}, date = {2022-08-08}, booktitle = {ACM SIGGRAPH 2022 Emerging Technologies}, number = {8}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @article{sam2022_oi, title = {Inertial Measurement Unit-sensor-based Short Stick Exercise Tracking to Improve Health of Elderly People}, author = {Kazuki Oi and Yugo Nakamura and Yuki Matsuda and Manato Fujimoto and Keiichi Yasumoto}, doi = {10.18494/SAM3968}, year = {2022}, date = {2022-08-02}, journal = {Sensors and Materials}, volume = {34}, number = {8}, pages = {2911-2928}, abstract = {Short stick exercises have been attracting attention from the viewpoint of preventing falls and improving the health of elderly people and are generally performed under the guidance of instructors and nursing staff at nursing homes. However, in situations such as the COVID-19 pandemic, where people should refrain from unnecessary outings, it is advisable that individuals perform short stick exercises at home and record their exercise implementation status. In this paper, we propose an inertial measurement unit (IMU)-sensor-based short stick exercise tracking method that can automatically record the types and amounts of exercises performed using a short stick equipped with an IMU sensor. The proposed method extracts time-domain and frequency-domain features from linear acceleration and quaternion time-series data obtained from the IMU sensor and classifies the type of exercise using an inference model based on machine learning algorithms. To evaluate the proposed method, we collected sensor data from 21 young subjects (in their 20s) and 14 elderly subjects (79\textendash95 years old), where the participants performed three sets (10 times per set) of eight basic types of short stick exercises (five types for elderly people). As a result of evaluating the proposed method using this data set, we confirmed that when LightGBM was used as the learning algorithm, it achieved F values of 90.0% and 86.6% for recognizing the type of exercise for young and elderly people, respectively.}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{sam2022_harashima, title = {Effect of Circadian Rhythm Control Light on Sleep State and Mental Health of Students}, author = {Haruki Harashima and Shuta Matsuo and Yutaka Arakawa}, doi = {10.18494/SAM3952}, year = {2022}, date = {2022-08-02}, journal = {Sensors and Materials}, volume = {34}, number = {8}, pages = {2973-2983}, abstract = {Many office workers are exposed to fluorescent light from mid-morning to after dark. The changes in the amount of light in the natural world, from bright during the day to dark at night, play an important role in maintaining a regular daily rhythm. In this study, we evaluated the effects of LED lighting equipped with a circadian rhythm control function, Lavigo, by comparing it with conventional fluorescent lighting on students’ sleep quality and stress. Lavigo’s Visual Timing Light (VTL) function adjusts the color and brightness of light according to the biological rhythm of about 24 h cycles. We measured the sleep state using Fitbit and collected subjective responses through a stress-checking questionnaire. A salivary amylase monitor was used to measure objective stress values from a medical perspective. No significant difference in stress values was observed during the experiment. However, only during the week that Lavigo was used, a certain subject showed a significant decrease in waking time during sleep, and another subject showed an increase in deep sleep. It was also found that these subjects tended to lead an irregular life, such as staying up until midnight.}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{sam2022_chen, title = {Quantitative Evaluation System for Online Meetings Based on Multimodal Microbehavior Analysis}, author = {Chenhao Chen and Yutaka Arakawa and Ko Watanabe and Shoya Ishimaru}, doi = {10.18494/SAM3959}, year = {2022}, date = {2022-08-02}, journal = {Sensors and Materials}, volume = {34}, number = {8}, pages = {3017-3027}, abstract = {Maintaining a positive interaction is the key to a healthy and efficient meeting. Aiming to improve the quality of online meetings, we present an end-to-end neural-network-based system, named MeetingPipe, which is capable of quantitative microbehavior detection (smiling, nodding, and speaking) from recorded meeting videos. For smile detection, we build a neural network framework that consists of an 18-layer residual network for feature representation, and a self-attention layer to explore the correlation between each receptive field. To perform nodding detection, we obtain head rotation data as the key nodding feature. Then we use a gated recurrent unit followed by a squeeze-and-excitation mechanism to capture the temporal information of nodding patterns from head pitch angles. In addition, we utilize TalkNet, an active speaker detection model, which can effectively recognize active speakers from videos. Experiments demonstrate that with K-fold cross validation, the F1 scores of the smile, nodding, and speaking detection are 97.34, 81.26, and 94.90%, respectively. The processing can be accelerated with multiple GPUs due to the multithread design. The code is available at https://github.com/humanophilic/MeetingPipe.}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{sam2022_matsuda, title = {ParmoSense: Scenario-based Participatory Mobile Urban Sensing Platform with User Motivation Engine}, author = {Yuki Matsuda and Shogo Kawanaka and Hirohiko Suwa and Yutaka Arakawa and Keiichi Yasumoto}, doi = {10.18494/SAM3961}, year = {2022}, date = {2022-08-02}, journal = {Sensors and Materials}, volume = {34}, number = {8}, pages = {3063-3091}, abstract = {The rapid proliferation of mobile devices with various sensors has enabled participatory mobile sensing (PMS). Several PMS platforms suffer from open issues including the limited use of their functions to a specific scenario/case and the necessity of technical knowledge for organizers. This paper proposes a novel PMS platform named ParmoSense for easy and flexible data collection. To reduce the burden on both organizers and participants, we employ two novel features. First, essential PMS functions implemented as modules can be easily chosen and combined for sensing in different scenarios. Second, the scenario-based description feature allows organizers to easily and quickly prepare a new instance of PMS and enable people to easily participate in the sensing. It also provides multiple functions to motivate participants for sustainable operation. Through a performance comparison with existing PMS platforms, we confirmed that ParmoSense shows the best cost performance in terms of the workload for preparation and the variety of functions. In addition, to evaluate the availability and usability of ParmoSense, we conducted 19 case studies over four years with ordinary citizens. As the result of a questionnaire survey carried out during the case studies, we confirmed that ParmoSense can be easily operated by ordinary citizens without technical skills.}, keywords = {}, pubstate = {published}, tppubtype = {article} } @conference{ns202207-eguchi, title = {920MHz帯 Private LoRa を用いた車両間情報共有のための中継タイミング制御手法の検討}, author = {江口直輝, 野林大起, 塚本和也, 荒川豊, 池永全志}, url = {https://arakawa-lab.com/wp-content/uploads/2022/07/2022_NS_eguchi.pdf}, year = {2022}, date = {2022-07-13}, urldate = {2022-07-13}, booktitle = {電子情報通信学会ネットワークシステム研究会}, keywords = {Intelligent Transport Systems (ITS), lora}, pubstate = {published}, tppubtype = {conference} } @conference{dicomo2022-tokunaga, title = {購買時の候補商品推定システムの構築と初期評価}, author = {徳永 大空, 本松 大夢, Chen Bin, 中村 優吾, 荒川 豊}, url = {https://arakawa-lab.com/wp-content/uploads/2022/07/2022_dicomo_tokunaga.pdf}, year = {2022}, date = {2022-07-13}, urldate = {2022-07-13}, booktitle = {情報処理学会DICOMOシンポジウム}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @conference{dicomo2022-joya, title = {料理中の料理動画再生制御に向けた料理工程推定手法の評価}, author = {城谷 知葵, Billy Dawton, 石田 繁巳, 荒川 豊}, url = {https://arakawa-lab.com/wp-content/uploads/2022/07/2022_dicomo_joya.pdf}, year = {2022}, date = {2022-07-13}, urldate = {2022-07-13}, booktitle = {情報処理学会DICOMOシンポジウム}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @conference{dicomo2022-b-chen, title = {A Study on 3D Gaze Recognition from the Environment Side by Multiple Optical Sensors}, author = {Bin Chen, 中村 優吾, 荒川 豊}, url = {https://arakawa-lab.com/wp-content/uploads/2022/07/2022_dicomo_chen.pdf}, year = {2022}, date = {2022-07-13}, urldate = {2022-07-13}, booktitle = {情報処理学会DICOMOシンポジウム}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @conference{dicomo2022-hattori, title = {通信トラヒック分析による複数のIoTデバイスにおける機能推定手法の評価}, author = {服部 祐一, 荒川 豊, 井上 創造}, url = {https://arakawa-lab.com/wp-content/uploads/2022/07/2022_dicomo_hattori.pdf}, year = {2022}, date = {2022-07-13}, urldate = {2022-07-13}, booktitle = {情報処理学会DICOMOシンポジウム}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @conference{dicomo2022-lu, title = {A study on estimating the accurate head IMU motion from Video}, author = {MinYen Lu, ChenHao Chen, 石田 繁巳, 中村 優吾, 荒川 豊}, url = {https://arakawa-lab.com/wp-content/uploads/2022/07/2022_dicomo_lu.pdf}, year = {2022}, date = {2022-07-13}, urldate = {2022-07-13}, booktitle = {情報処理学会DICOMOシンポジウム}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @conference{dicomo2022-takao, title = {抽選における高揚感の要因分析}, author = {高尾 亮太, 中村 優吾, 福嶋 政期, 荒川 豊}, url = {https://arakawa-lab.com/wp-content/uploads/2022/07/2022_dicomo_takao.pdf}, year = {2022}, date = {2022-07-13}, urldate = {2022-07-13}, booktitle = {情報処理学会DICOMOシンポジウム}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @conference{dicomo2022-kawanaka, title = {テンプレート画像とコンテキスト情報を用いた観光地の現況画像の自動生成法の提案}, author = {河中 昌樹, 中村 優吾, 諏訪 博彦, 安本 慶一}, url = {https://arakawa-lab.com/wp-content/uploads/2022/07/2022_dicomo_kawanawa.pdf}, year = {2022}, date = {2022-07-13}, urldate = {2022-07-13}, booktitle = {情報処理学会DICOMOシンポジウム}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @conference{dicomo2022-mayumi, title = {Aromug: 糖分摂取量低減を補助するスマートマグカップの設計と基礎評価}, author = {真弓 大輝, 中村 優吾, 三崎 慎也, 松田 裕貴, 安本 慶一}, url = {https://arakawa-lab.com/wp-content/uploads/2022/07/2022_dicomo_mayumi.pdf}, year = {2022}, date = {2022-07-13}, urldate = {2022-07-13}, booktitle = {情報処理学会DICOMOシンポジウム}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @conference{dicomo2022-ishimaru, title = {実空間の人や動物とのリアルな遠隔コミュニケーションのためのQoS-Aware点群ストリーミング手法}, author = {石丸 大稀, 中村 優吾, 藤本 まなと, 諏訪 博彦, 安本 慶一}, url = {https://arakawa-lab.com/wp-content/uploads/2022/07/2022_dicomo_ishimaru.pdf}, year = {2022}, date = {2022-07-13}, urldate = {2022-07-13}, booktitle = {情報処理学会DICOMOシンポジウム}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @inproceedings{landy-iiai-2022, title = {Coupling of semantic and syntactic graphs generated via tweets to detect local events}, author = {Landy Rajaonarivo, Tsunenori Mine, Yutaka Arakawa}, url = {https://arakawa-lab.com/wp-content/uploads/2022/07/2022_AAI_landy.pdf}, year = {2022}, date = {2022-07-02}, urldate = {2022-07-02}, booktitle = {12th International Congress on Advanced Applied Informatics (IIAI AAI 2022)}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } @conference{jsai2022-arakawa, title = {実生活中の継続的な生体センシングの難しさ}, author = {荒川豊, 中村優吾, 松田裕貴}, url = {https://arakawa-lab.com/wp-content/uploads/2022/06/3I3-OS-5a-01.pdf}, year = {2022}, date = {2022-06-16}, urldate = {2022-06-16}, booktitle = {人工知能学会全国大会論文集 第36回全国大会 (2022)}, number = {3I3-OS-5a-01}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @conference{jsai2022-tokuhara, title = {ミーティング中のうなずきを対象としたヒューマンインザループ動画アノテーションシステムの構築と評価}, author = {徳原耕亮, 渡邉洸, 石丸翔也, 荒川豊}, url = {https://arakawa-lab.com/wp-content/uploads/2022/06/3H3-OS-12a-03.pdf}, year = {2022}, date = {2022-06-16}, urldate = {2022-06-16}, booktitle = {人工知能学会全国大会論文集 第36回全国大会 (2022)}, number = {3H3-OS-12a-03}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @conference{jsai2022-chen, title = {マルチモーダルなマイクロ行動分析に基づく複数人会議の定量化}, author = {陳辰昊, 徳原耕亮, 荒川豊, 渡邉洸、石丸翔也}, url = {https://arakawa-lab.com/wp-content/uploads/2022/06/1P1-GS-10-04.pdf}, year = {2022}, date = {2022-06-14}, urldate = {2022-06-14}, booktitle = {人工知能学会全国大会論文集 第36回全国大会 (2022)}, number = {1P1-GS-10-04}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @conference{takenawa-2022mve, title = {卓上直立空中像を4方向に提示する光学系における迷光低減手法の検討}, author = {武縄 瑞基,矢作 優知,菊池 知世,福嶋 政期,苗村 健}, year = {2022}, date = {2022-06-09}, booktitle = {信学技報}, volume = {122}, number = {74}, pages = {13-18}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @conference{aramaki-2022mve, title = {モード選択と手指動作入力を用いた対話的なアバターのモーション制御}, author = {荒巻 美南海, Ari Hautasaari, 韓 燦教, 福嶋 政期, 苗村 健}, year = {2022}, date = {2022-06-09}, booktitle = {電子情報通信学会技術研究報告}, volume = {122}, number = {74}, pages = {7-12}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @article{hattori-sandm, title = {Function-level Access Control System for Home IoT Devices}, author = {Yuichi Hattori;Yutaka Arakawa;Daichi Koike;Shigemi Ishida;Sozo Inoue}, year = {2022}, date = {2022-06-01}, journal = {Sensors and Materials}, volume = {36}, number = {6}, pages = {2125-2139}, keywords = {}, pubstate = {published}, tppubtype = {article} } @conference{konishi-its-2022, title = {観光EBPMに向けた大規模観光人流データ分析~糸島市西部~}, author = {小西宏樹,原嶋春輝,荒川豊,峯恒憲}, url = {https://arakawa-lab.com/wp-content/uploads/2022/06/IPSJ-DPS22191042.pdf}, year = {2022}, date = {2022-05-19}, urldate = {2022-05-19}, journal = {情報処理学会第89回 高度交通システムとスマートコミュニティ研究会(ITS)}, volume = {2022-ITS-89}, number = {42}, pages = {1-8}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @inproceedings{namba-cphs2022, title = {Device-Free Exercise Estimation in Strength Training Using a Pull-up Machine}, author = {Koya Namba, Yugo Nakamura, Yutaka Arakawa}, url = {https://arakawa-lab.com/wp-content/uploads/2022/06/CPHS22_paper_3845.pdf}, year = {2022}, date = {2022-05-03}, urldate = {2022-05-03}, booktitle = {The Second International Workshop on Cyber-Physical-Human System Design and Implementation (CPHS2022) at CPS-IOT Week}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } @inproceedings{nakamura-cphs2022, title = {Short Stick Exercise Tracking System for Elderly Rehabilitation using IMU Sensor}, author = {Kazuki Oi, Yugo Nakamura, Yuki Matsuda, Manato Fujimoto, Keiichi Yasumoto}, year = {2022}, date = {2022-05-03}, booktitle = {The Second International Workshop on Cyber-Physical-Human System Design and Implementation (CPHS2022) at CPS-IOT Week}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } @conference{arakawa-ipsj-bti, title = {社会便益のための ICT 行動変容支援システム}, author = {荒川豊}, url = {https://arakawa-lab.com/wp-content/uploads/2022/04/main.pdf}, year = {2022}, date = {2022-04-16}, urldate = {2022-04-16}, booktitle = {情報処理学会IoT行動変容学研究グループキックオフシンポジウム}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @conference{nakamura-ipsj-bti, title = {Aromug:糖分摂取量低減を補助するスマートマグカップの検討}, author = {真弓大輝, 中村優吾, 松田裕貴, 安本慶一}, year = {2022}, date = {2022-04-16}, urldate = {2022-04-16}, booktitle = {情報処理学会IoT行動変容学研究グループキックオフシンポジウム}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @conference{docomo-ipsj-bti, title = {新型コロナウイルス感染防止に向けた混雑回避行動を促進する行動変容技術の検証}, author = {井手崇博, 大滝亨, 山田暁, 佐藤弘之, 落合桂一, 川上博, 矢野達也, 大川博生, 和久井圭祐, 白井拓也, 荒川豊}, year = {2022}, date = {2022-04-16}, booktitle = {情報処理学会IoT行動変容学研究グループキックオフシンポジウム}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @inproceedings{tanaka-pt-2022, title = {Context-Aware Chatbot based on Cyber-Physical Sensing for promoting Serendipitous Face-to-Face Communication in COVID-19}, author = {Hirokazu Tanaka, Hiromu Motomatsu, Yugo Nakamura, Yutaka Arakawa}, url = {https://arakawa-lab.com/wp-content/uploads/2022/06/Persuasive_2022_tanaka.pdf}, year = {2022}, date = {2022-03-30}, urldate = {2022-03-30}, booktitle = {The 17th International Conference on Persuasive Technology (Persuasive 2022)}, keywords = {behavior change support system}, pubstate = {published}, tppubtype = {inproceedings} } @inproceedings{ohira-bcss, title = {Design and development of appendable elevator monitoring system to nudge people behavior change}, author = {Yuta Ohira, Yugo Nakamura and Yutaka Arakawa}, url = {https://arakawa-lab.com/wp-content/uploads/2022/06/BCSS_2022_paper_3.pdf}, year = {2022}, date = {2022-03-30}, urldate = {2022-03-30}, booktitle = {10th International Workshop on Behavior Change Support Systems (BCSS 2022)}, keywords = {behavior change support system}, pubstate = {published}, tppubtype = {inproceedings} } @inproceedings{mayumi-pt-2022, title = {Aroma Nudges: Exploring the Effects on Shopping Behavior in a Supermarket }, author = {Daiki Mayumi, Yugo Nakamura, Yuki Matsuda, Tomokazu Matsui, Shinya, Misaki, Keiichi, Yasumoto, Junko Nohara }, year = {2022}, date = {2022-03-29}, booktitle = {International Workshop on Digital Nudging and Digital Persuasion (DNDP 2022)}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } @inproceedings{percom2022-arita, title = {ZEL: Net-Zero-Energy Lifelogging System using Heterogeneous Energy Harvesters}, author = {Mitsuru Arita, Yugo Nakamura, Shigemi Ishida, Yutaka Arakawa}, url = {https://arxiv.org/abs/2202.00247}, year = {2022}, date = {2022-03-21}, booktitle = {The 20th International Conference on Pervasive Computing and Communications (PerCom 2022)}, abstract = {We present ZEL, the first net-zero-energy lifelogging system that allows office workers to collect semi-permanent records of when, where, and what activities they perform on company premises. ZEL achieves high accuracy lifelogging by using heterogeneous energy harvesters with different characteristics. The system is based on a 192-gram nametag-shaped wearable device worn by each employee that is equipped with two comparators to enable seamless switching between system states, thereby minimizing the battery usage and enabling net-zero-energy, semi-permanent data collection. To demonstrate the effectiveness of our system, we conducted data collection experiments with 11 participants in a practical environment and found that the person-dependent (PD) model achieves an 8-place recognition accuracy level of 87.2% (weighted F-measure) and a static/dynamic activities recognition accuracy level of 93.1% (weighted F-measure). Additional testing confirmed the practical long-term operability of the system and showed it could achieve a zero-energy operation rate of 99.6% i.e., net-zero-energy operation.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } @conference{arakawa-ieice-2022, title = { ICT 行動変容:社会便益のための行動変容を支援する情報技術}, author = {荒川豊}, url = {https://arakawa-lab.com/wp-content/uploads/2022/06/IEICE_taikai_2022.pdf}, year = {2022}, date = {2022-03-17}, urldate = {2022-03-17}, booktitle = {2022年電子情報通信学会総合大会}, keywords = {behavior change support system, 行動変容}, pubstate = {published}, tppubtype = {conference} } @conference{nakamura-2022-act-i, title = {人を理解し、人を動かすIoT}, author = {中村優吾}, year = {2022}, date = {2022-03-12}, booktitle = { JST ACT-I 先端研究フォーラム ~「情報と未来」研究者講演会~}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @conference{eguchi-ns-2022, title = {Private LoRa を用いた車両間情報共有のためのデータ中継転送方式の実証評価}, author = {江口直輝, 野林大起, 塚本和也, 荒川豊, 池永全志}, url = {https://arakawa-lab.com/wp-content/uploads/2022/06/eguchi_NS.pdf}, year = {2022}, date = {2022-03-11}, urldate = {2022-03-11}, booktitle = {電子情報通信学会ネットワークシステム研究会}, keywords = {car, Congestion detection, lora}, pubstate = {published}, tppubtype = {conference} } @conference{nakaoka-2022-wssit, title = {手指の機能障害に対する客観的評価確立に向けた箸型センサを用いた巧緻動作認識手法の検討}, author = {中岡黎,大井一輝,尾崎麻希,三崎慎也,中村優吾,松田裕貴,諏訪博彦,眞野智生,城戸顕,安本慶一}, year = {2022}, date = {2022-03-10}, urldate = {2022-03-10}, booktitle = {社会システムと情報技術研究ウィーク(WSSIT22)}, journal = {社会システムと情報技術研究ウィーク(WSSIT22)}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @conference{misaki-2022-wssit, title = {高臨場感リモートCo-Cookingを実現するIoTまな板の設計と空間提示方法の検討}, author = {三崎慎也,松井智一,中村優吾,安本慶一}, year = {2022}, date = {2022-03-10}, urldate = {2022-03-10}, booktitle = {社会システムと情報技術研究ウィーク(WSSIT22)}, journal = {社会システムと情報技術研究ウィーク(WSSIT22)}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @conference{mayumi-2022-wssit, title = {香りナッジが実店舗の購買行動に及ぼす影響の調査}, author = {真弓 大輝,中村優吾,松田裕貴,松井智一,三崎慎也,安本慶一,野原潤子}, year = {2022}, date = {2022-03-10}, urldate = {2022-03-10}, booktitle = {社会システムと情報技術研究ウィーク(WSSIT22)}, journal = {社会システムと情報技術研究ウィーク(WSSIT22)}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @conference{taya-2022-wssit, title = {BLE信号を用いた電車における混雑度推定手法の検討}, author = {田谷瑛悟,金光勇慈, 立花巧樹, 中村優吾, 松田裕貴, 諏訪博彦, 安本慶一}, year = {2022}, date = {2022-03-10}, booktitle = {社会システムと情報技術研究ウィーク(WSSIT22)}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @inproceedings{nakagawa-lifetech-2022, title = {Augmented Web Survey with enhanced response UI for Touch-based Psychological State Estimation}, author = {Nakagawa Takaaki, Yutaka Arakawa, Yugo Nakamura}, url = {https://arakawa-lab.com/wp-content/uploads/2022/06/lifetech_nakagawa.pdf}, year = {2022}, date = {2022-03-07}, urldate = {2022-03-07}, booktitle = { IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech2022)}, keywords = {satisfice, アンケート}, pubstate = {published}, tppubtype = {inproceedings} } @conference{nakagawa-ubi-2022, title = {Web アンケート回答時のタッチ操作に基づく深層心理推定に向けた新しい回答 UIの提案}, author = {中川嵩章, 荒川豊, 中村優吾}, url = {https://arakawa-lab.com/wp-content/uploads/2022/06/ubi_nakagawa.pdf}, year = {2022}, date = {2022-03-07}, urldate = {2022-03-07}, booktitle = {情報処理学会第73回ユビキタスコンピューティングシステム研究会}, keywords = {satisfice, アンケート}, pubstate = {published}, tppubtype = {conference} } @conference{kubo-ubi-2022, title = {作業中の音楽の音量減衰が知的集中力に与える影響}, author = {久保彰悟, 荒川豊, 中村優吾}, url = {https://arakawa-lab.com/wp-content/uploads/2022/06/UBI_kubo_2022.pdf}, year = {2022}, date = {2022-03-07}, urldate = {2022-03-07}, booktitle = {情報処理学会第73回ユビキタスコンピューティングシステム研究会}, keywords = {集中度}, pubstate = {published}, tppubtype = {conference} } @conference{shimura-2022, title = {ビデオ会議中の表情ロギングシステムMeeMoの開発}, author = {志村朋人,徳原耕亮,ジヘド マクルフ,荒川豊,石田繁巳}, url = {https://arakawa-lab.com/wp-content/uploads/2022/06/IPSJ_taikai_2022_shimura.pdf}, year = {2022}, date = {2022-03-03}, urldate = {2022-03-03}, booktitle = {情報処理学会第84回全国大会}, keywords = {chrome extension, group meeting}, pubstate = {published}, tppubtype = {conference} } @article{access2022-choi, title = {Wi-CaL: WiFi Sensing and Machine Learning Based Device-Free Crowd Counting and Localization}, author = {Hyuckjin Choi and Manato Fujimoto and Tomokazu Matsui and Shinya Misaki and Keiichi Yasumoto}, doi = {10.1109/ACCESS.2022.3155812}, issn = {2169-3536}, year = {2022}, date = {2022-03-02}, journal = {IEEE Access}, volume = {10}, pages = {24395-24410}, abstract = {Wireless sensing represented by WiFi channel state information (CSI) is now enabling various fields of applications such as person identification, human activity recognition, occupancy detection, localization, and crowd estimation these days. So far, those fields are mostly considered as separate topics in WiFi CSI-based methods, on the contrary, some camera and vision-based crowd estimation systems intuitively estimate both crowd size and location at the same time. Our work is inspired by the idea that WiFi CSI also may be able to perform the same as the camera does. In this paper, we construct Wi-CaL, a simultaneous crowd counting and localization system by using ESP32 modules for WiFi links. We extract several features that contribute to dynamic state (moving crowd) and static state (location of the crowd) from the CSI bundles, then assess our system by both conventional machine learning (ML) and deep learning (DL). As a result of ML-based evaluation, we achieved 0.35 median absolute error (MAE) of counting and 91.4% of localization accuracy with five people in a small-sized room, and 0.41 MAE of counting and 98.1% of localization accuracy with 10 people in a medium-sized room, by leave-one-session-out cross-validation. We compared our result with percentage of non-zero elements metric (PEM), which is a state-of-the-art metric for crowd counting, and confirmed that our system shows higher performance (0.41 MAE, 81.8% of within-1-person error) than PEM (0.62 MAE, 66.5% of within-1-person error).}, keywords = {}, pubstate = {published}, tppubtype = {article} } @article{gogami-2022-dbsj, title = {オンラインアンケートにおける不適切回答自動検出に向けた回答操作ログの統計分析}, author = {後上正樹,松田裕貴,荒川豊,安本慶一}, year = {2022}, date = {2022-03-01}, urldate = {2022-03-01}, journal = {日本データベース学会和文論文誌}, volume = {20-J}, number = {9}, keywords = {satisfice, アンケート, タッチ操作}, pubstate = {published}, tppubtype = {article} } @conference{ishikawa-personality-2022, title = {パーソナリティのEmbedding 表現獲得に向けたマルチレイヤRNNの提案}, author = {石川雄一, 中村優吾, 石田繁巳, 峯恒憲, 荒川豊 }, year = {2022}, date = {2022-02-21}, booktitle = {Symposium on Multi Agent Systems for Harmonization 2022 (SMASH22)Winter Symposium}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @article{weko_215818_1, title = {タッチ操作ログに基づいた操作形態推定手法}, author = {平部裕子, 諏訪博彦, 荒川豊, 安本慶一}, url = {https://ipsj.ixsq.nii.ac.jp/ej/index.php?active_action=repository_view_main_item_detail\&page_id=13\&block_id=8\&item_id=215818\&item_no=1}, doi = {10.20729/00215710}, year = {2022}, date = {2022-01-15}, urldate = {2022-01-01}, journal = {情報処理学会論文誌}, volume = {63}, number = {1}, pages = {45--55}, abstract = {ユーザがどのようにスマートフォンを持ち,どの指で操作しているかという情報(操作形態)が分かれば,様々な新しい応用,たとえば,操作形態に適したUI(ユーザインターフェス)への動的切替えや,ながらコンテキスト(スマートフォン操作時に行われている別行動,歩行,喫煙,食事など)の推定など,への道が拓ける可能性がある.本論文では,タッチ操作によって出力されるログに着目し,タッチやスワイプなどの操作領域や頻度からどのような操作形態かを推定する方法を提案する.そのために,Android上でアプリ横断的にタッチ操作を取得可能なTouchAnalyzerから得られた情報を特徴量とし,機械学習手法により代表的な8通りの操作形態を推定する手法を構築する.16名の実験参加者による評価実験を通じて,提案手法によって操作形態をおおむね90%のF値で推定できることが分かった.}, keywords = {}, pubstate = {published}, tppubtype = {article} } @conference{inoue-semi-2022, title = {逆離散フーリエ変換を用いた新しいエリア特徴量~活性度~の定義}, author = {井上隼英, 荒川豊, 石田繁巳}, url = {https://arakawa-lab.com/wp-content/uploads/2022/06/202201_IEICE_SeMI_inoue-1.pdf}, year = {2022}, date = {2022-01-13}, urldate = {2022-01-13}, booktitle = {電子情報通信学会センサネットワークとモバイルインテリジェンス研究会}, keywords = {EBPM, event detection}, pubstate = {published}, tppubtype = {conference} } @inproceedings{landy2021, title = {Automatic Generation of Event Ontology from Social Network and Mobile Positioning Data}, author = {Landy Rajaonarivo and Tsunenori Mine and Yutaka Arakawa}, url = {https://camps.aptaracorp.com/ACM_PMS/PMS/ACM/WIIAT21/20/aacf69d3-4a02-11ec-b613-166a08e17233/OUT/wiiat21-20.html}, doi = {10.1145/3486622.3493933}, year = {2021}, date = {2021-12-14}, urldate = {2021-12-14}, booktitle = {The 20th IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } @conference{weko_214225_1, title = {Slackにおける能動型質問ボットの効果検証}, author = {本松大夢 and 中村優吾 and 荒川豊}, url = {https://arakawa-lab.com/wp-content/uploads/2021/12/IPSJ-MBL21101002.pdf http://id.nii.ac.jp/1001/00214117/ }, year = {2021}, date = {2021-12-07}, urldate = {2021-12-07}, booktitle = {情報処理学会モバイルコンピューティングと新社会システム(MBL)研究会}, volume = {2021-MBL-101}, number = {2}, pages = {1-8}, institution = {九州大学, 九州大学, 九州大学}, abstract = {新型コロナウイルスの流行に伴い,企業や学校等でオンラインコミュニケーションツールへの移行が進んでいる.しかしながら,対面での接触機会の減少が,組織全体でのコミュニケーションの減少やワーク・エンゲイジメントの低下を引き起こしている.そこで,我々は能動的にランダムなユーザへの質問を行うボットの導入による,コミュニケーション活性化やワーク・エンゲイジメント向上に関する研究を行なった.具体的には,主要なオンラインコミュニケーションツールである,Slack におけるボットがもたらす,能動的な質問,回答の共有が,組織全体のコミュニケーションやワーク・エンゲイジメントに与える影響について調査を行なった.本発表では,研究室の Slack に導入した能動型質問ボットが与える影響について,Slack でのユーザごとのメッセージ送信数や,リアクション数等による定量的評価とユーザへのアンケートによる定性的評価から報告を行う.また,本研究で明らかとなった結果から,ユーザからの回答を引き出す質問ボット開発への新たな知見についても報告を行う.}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @conference{weko_214268_1, title = {スマートフォンを用いた右左折時のウインカー操作パターン計測システム}, author = {古川芽依 and 中村優吾 and 荒川豊}, url = {https://arakawa-lab.com/wp-content/uploads/2021/12/IPSJ-ITS21087008.pdf http://id.nii.ac.jp/1001/00214160/}, year = {2021}, date = {2021-12-07}, urldate = {2021-12-07}, booktitle = {情報処理学会高度交通システムとスマートコミュニティ(ITS)研究会}, volume = {2021-ITS-87}, number = {8}, pages = {1-6}, institution = {九州大学, 九州大学, 九州大学}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @article{9632588, title = {C-AVDI: Compressive Measurement-Based Acoustic Vehicle Detection and Identification}, author = {Billy Dawton and Shigemi Ishida and Yutaka Arakawa}, doi = {10.1109/ACCESS.2021.3132061}, issn = {2169-3536}, year = {2021}, date = {2021-12-01}, urldate = {2021-01-01}, journal = {IEEE Access}, volume = {9}, pages = {159457-159474}, abstract = {As society grows ever more interconnected, the need for sophisticated signal processing and data analysis techniques becomes increasingly apparent. This is particularly true in the field of intelligent transportation systems (ITSs), where various sensing applications generate data at an exponential rate. In this paper, we present C-AVDI, a compressive measurement-based acoustic vehicle detection and identification architecture capable of extracting information from vehicle audio signals while sampling at sub-Nyquist rates. In addition, we further reduce the overall complexity by performing any necessary signal filtering during the acquisition process, removing the need for a separate filtering stage in the system’s front-end. Our results obtained from data collected under a range of weather conditions present an accuracy of 80% with a back-end analog-to-digital converter (ADC) sample rate of 3kHz, with initial results from a microcontroller (MCU) implementation of our proposed system presenting an accuracy of 72%.}, keywords = {}, pubstate = {published}, tppubtype = {article} } @conference{yoshie-jsnet-2021, title = {AIを用いて診療記録から臨床研究用データベースを自動で作成する自然言語処理解析装置の開発}, author = {吉江智秀, 柴田大作, 荒牧英治, 若宮翔子, 荒川豊, 植田敏浩, 尾原信行, 坂井信幸}, year = {2021}, date = {2021-11-26}, urldate = {2021-11-26}, booktitle = {第37回NPO法人日本脳神経血管内治療学会学術集会(JSNET2021)}, volume = {S15-5}, keywords = {bert, natural language processing}, pubstate = {published}, tppubtype = {conference} } @inproceedings{icmu2021-tokuda, title = {Automatic Parameter Adjustment for Hybrid WiFi and BLE-Based Congestion Measurement}, author = {Akira Tokuda, Yutaka Arakawa, Shigeru Takano, Shigemi Ishida}, url = {https://arakawa-lab.com/wp-content/uploads/2022/01/a35-tokuda-stamped-e.pdf}, year = {2021}, date = {2021-11-19}, urldate = {2021-11-19}, booktitle = {The 13th International Conference on Mobile Computing and Ubiquitous Networking (ICMU2021)}, keywords = {Congestion detection, itocon}, pubstate = {published}, tppubtype = {inproceedings} } @inproceedings{icmu2021-harashima, title = {Estimating Work Engagement with Wrist-Worn Heart Rate Sensors}, author = {Haruki Harashima, Yutaka Arakawa, Shigemi Ishida, Yugo Nakamura}, url = {https://arakawa-lab.com/wp-content/uploads/2022/01/a9-harashima-stamped-e.pdf}, year = {2021}, date = {2021-11-17}, urldate = {2021-11-17}, booktitle = {The 13th International Conference on Mobile Computing and Ubiquitous Networking (ICMU2021)}, keywords = {wearable computing, work engagement}, pubstate = {published}, tppubtype = {inproceedings} } @inproceedings{icmu2021-fukuda, title = {Statistical Analysis Between Sleep Status and Occupational Health Indicators for Detecting Depression Signs in Healthy Workers}, author = {Shuichi Fukuda, Yuki Matsuda, Yutaka Arakawa, Keiichi Yasumoto}, url = {https://arakawa-lab.com/wp-content/uploads/2022/01/a11-fukuda-stamped-e.pdf}, year = {2021}, date = {2021-11-17}, urldate = {2021-11-17}, booktitle = {The 13th International Conference on Mobile Computing and Ubiquitous Networking (ICMU2021)}, keywords = {DAMS, general workers, work engagement}, pubstate = {published}, tppubtype = {inproceedings} } @inproceedings{mobiquitous2021-joya, title = {Design of Room-Layout Estimator Using Smart Speaker}, author = {Tomoki Joya, Shigemi Ishida, Yudai Mitsukude, Yutaka Arakawa}, url = {https://arakawa-lab.com/wp-content/uploads/2022/01/202111_EAI_Mobiquitous_joya.pdf}, year = {2021}, date = {2021-11-09}, urldate = {2021-11-09}, booktitle = {18th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous 2021)}, keywords = {Acoustic sensing, smart speaker}, pubstate = {published}, tppubtype = {inproceedings} } @inproceedings{musical2021-jihed, title = {A Privacy-aware Browser Extension to Track User Search Behavior for Programming Course Supplement}, author = {Jihed Makhlouf, Yutaka Arakawa, Ko Watanabe}, url = {https://arakawa-lab.com/wp-content/uploads/2022/01/mobiquitous-jihed-2021.pdf}, year = {2021}, date = {2021-11-08}, urldate = {2021-11-08}, booktitle = {The Fourth International Workshop on Mobile Ubiquitous Systems, Infrastructures, Communications and AppLications (MUSICAL) In conjunction with Mobiquitous 2021}, keywords = {search log, suplimentation}, pubstate = {published}, tppubtype = {inproceedings} } @conference{tanaka-2021-dpsws, title = {連れ立ち行動促進システムの提案}, author = {田中宏和, 本松大夢, 中村優吾, 荒川豊}, url = {https://arakawa-lab.com/wp-content/uploads/2022/01/IPSJ-DPSWS2021003.pdf}, year = {2021}, date = {2021-10-25}, urldate = {2021-10-25}, booktitle = {第29回 マルチメディア通信と分散処理ワークショップ (DPSWS2021)}, keywords = {behavior change, Smart Office, work engagement}, pubstate = {published}, tppubtype = {conference} } @conference{kawatani-2021-dpsws, title = {路線バスと他の交通機関との相互乗り換えを保証するための遅延状況調査および運行ダイヤ改善指標の検討}, author = {川谷卓哉, 荒川豊, 峯恒憲}, url = {https://arakawa-lab.com/wp-content/uploads/2022/01/IPSJ-DPSWS2021004.pdf}, year = {2021}, date = {2021-10-25}, urldate = {2021-10-25}, booktitle = {第29回 マルチメディア通信と分散処理ワークショップ (DPSWS2021)}, journal = {第29回 マルチメディア通信と分散処理ワークショップ (DPSWS2021)}, keywords = {bus, Intelligent Transport Systems (ITS)}, pubstate = {published}, tppubtype = {conference} } @conference{arita-2021-dpsws, title = {充電不要なライフログ記録システムの提案と実用環境での性能検証}, author = {有田充, 中村優吾, 石田繁巳, 荒川豊}, url = {https://arakawa-lab.com/wp-content/uploads/2022/01/IPSJ-DPSWS2021015.pdf}, year = {2021}, date = {2021-10-25}, urldate = {2021-10-25}, booktitle = {第29回 マルチメディア通信と分散処理ワークショップ (DPSWS2021)}, keywords = {Activity recognition, Energy Harvesting, Life log}, pubstate = {published}, tppubtype = {conference} } @conference{harashima-2021-dpsws, title = {ウェアラブル心拍センサによるワーク・エンゲイジメントの推定}, author = {原嶋春輝, 荒川豊, 石田繁巳, 中村優吾}, url = {https://arakawa-lab.com/wp-content/uploads/2022/01/IPSJ-DPSWS2021016.pdf}, year = {2021}, date = {2021-10-25}, urldate = {2021-10-25}, booktitle = {第29回 マルチメディア通信と分散処理ワークショップ (DPSWS2021)}, keywords = {mental health, wearable computing, work engagement}, pubstate = {published}, tppubtype = {conference} } @conference{amano-2021-dpsws, title = {新生活様式におけるコミュニティ形成のためのサイバーフィジカル空間共有基盤の設計開発}, author = {天野辰哉, 水本旭洋, 山口弘純, 松田裕貴, 藤本まなと, 諏訪博彦, 安本慶一 , 中村優吾, 田上敦士}, url = {https://arakawa-lab.com/wp-content/uploads/2022/01/IPSJ-DPSWS2021018.pdf}, year = {2021}, date = {2021-10-25}, urldate = {2021-10-25}, booktitle = {第29回 マルチメディア通信と分散処理ワークショップ (DPSWS2021)}, keywords = {COVID-19, IoT, privacy}, pubstate = {published}, tppubtype = {conference} } @conference{tomita-2021-dpsws, title = {端末間の近距離通信を使ったFederated Learningによる観光オブジェクト認識モデルの参加型学習法とその評価}, author = {冨田周作, 中村優吾, 諏訪博彦, 安本慶一}, url = {https://arakawa-lab.com/wp-content/uploads/2022/01/IPSJ-DPSWS2021024.pdf}, year = {2021}, date = {2021-10-25}, urldate = {2021-10-25}, booktitle = {第29回 マルチメディア通信と分散処理ワークショップ (DPSWS2021)}, keywords = {DTN, federated learning, smart tourism}, pubstate = {published}, tppubtype = {conference} } @conference{cho-2021-dpsws, title = {電磁・通信・家電情報に基づくIoT活動量計の検討}, author = {張志華, 松井智一, 上田浩行, 高野誠也, 藤本大介, 林優一, 安本慶一, 荒川豊 }, url = {https://arakawa-lab.com/wp-content/uploads/2022/01/IPSJ-DPSWS2021038.pdf}, year = {2021}, date = {2021-10-25}, urldate = {2021-10-25}, booktitle = {第29回 マルチメディア通信と分散処理ワークショップ (DPSWS2021)}, keywords = {IoT, security, trust}, pubstate = {published}, tppubtype = {conference} } @conference{nakaoka-2021-dpsws, title = {メシクエ:ご飯を食べて敵を倒す食育ゲームの提案}, author = {中岡黎, 中村優吾, 松田裕貴, 三崎慎也, 安本慶一}, url = {https://arakawa-lab.com/wp-content/uploads/2022/01/IPSJ-DPSWS2021027.pdf}, year = {2021}, date = {2021-10-25}, urldate = {2021-10-25}, booktitle = {第29回 マルチメディア通信と分散処理ワークショップ (DPSWS2021)}, keywords = {Activity recognition, behavior change, Food Technology}, pubstate = {published}, tppubtype = {conference} } @conference{namba-2021-dpsws, title = {懸垂マシンを用いた筋トレにおけるデバイスフリー種目推定}, author = {難波洸也, 中村優吾, 荒川豊}, url = {https://arakawa-lab.com/wp-content/uploads/2022/01/IPSJ-DPSWS2021040.pdf}, year = {2021}, date = {2021-10-25}, urldate = {2021-10-25}, booktitle = {第29回 マルチメディア通信と分散処理ワークショップ (DPSWS2021)}, keywords = {Activity recognition, Fitness support, sport sensing}, pubstate = {published}, tppubtype = {conference} } @conference{ohira-2021-dpsws, title = {エレベータ利用に関する意思決定を支援する状況センシングシステムの設計と開発}, author = {大平祐大, 荒川豊, 中村優吾}, url = {https://arakawa-lab.com/wp-content/uploads/2022/01/IPSJ-DPSWS2021041.pdf}, year = {2021}, date = {2021-10-25}, urldate = {2021-10-25}, booktitle = {第29回 マルチメディア通信と分散処理ワークショップ (DPSWS2021)}, journal = {第29回 マルチメディア通信と分散処理ワークショップ (DPSWS2021)}, keywords = {BLE, Congestion detection, IoT}, pubstate = {published}, tppubtype = {conference} } @conference{nakagawa-2021-dpsws, title = {Webアンケート回答時のタッチ操作に基づく深層心理推定に向けた回答UIの提案}, author = {中川嵩章, 荒川豊, 中村優吾 }, url = {https://arakawa-lab.com/wp-content/uploads/2022/01/IPSJ-DPSWS2021042.pdf}, year = {2021}, date = {2021-10-25}, urldate = {2021-10-25}, booktitle = {第29回 マルチメディア通信と分散処理ワークショップ (DPSWS2021)}, keywords = {online questionnaire, touchscreen}, pubstate = {published}, tppubtype = {conference} } @conference{dpsws2021-tachibana, title = {センサ装着型トングを用いたポイ捨てごみの種別・位置情報収集システムの提案}, author = {立花巧樹, 中岡黎, 宮地篤士, 冨田周作, 松田裕貴, 中村優吾, 諏訪 博彦 }, url = {https://arakawa-lab.com/wp-content/uploads/2022/01/IPSJ-DPSWS2021028.pdf}, year = {2021}, date = {2021-10-15}, urldate = {2021-10-15}, booktitle = {第29回 マルチメディア通信と分散処理ワークショップ (DPSWS2021)}, keywords = {Participatory sensing}, pubstate = {published}, tppubtype = {conference} } @article{TomohideYoshie2021oa.2021-0053, title = {The Influence of Experience on Gazing Patterns during Endovascular Treatment: Eye-Tracking Study}, author = {Tomohide Yoshie and Yuki Matsuda and Yutaka Arakawa and Haruki Otsubo and Takashi Araga and Kentaro Tatsuno and Satoshi Takaishi and Noriko Usuki and Toshihiro Ueda}, doi = {10.5797/jnet.oa.2021-0053}, year = {2021}, date = {2021-10-08}, urldate = {2021-01-01}, journal = {Journal of Neuroendovascular Therapy}, volume = {advpub}, keywords = {}, pubstate = {published}, tppubtype = {article} } @book{iot-book-2021, title = {IoTの本}, author = {安本慶一, 荒川豊, 松田裕貴}, editor = {電気書院}, url = {https://www.amazon.co.jp/gp/product/4485600467/ref=as_li_tl?ie=UTF8\&camp=247\&creative=1211\&creativeASIN=4485600467\&linkCode=as2\&tag=myblog05-22\&linkId=19e1b715f2169bdc74a2d738ef9804e3}, isbn = {4485600467}, year = {2021}, date = {2021-10-08}, keywords = {}, pubstate = {published}, tppubtype = {book} } @inproceedings{abc2021-sozo, title = {Toward the Analysis of Office Worker’s Mental Indicators Based on Activity Data}, author = {Yusuke Nishimura, Tahera Hossain, Akane Sano, Shota Isomura, Yutaka Arakawa, Sozo Inoue}, url = {https://abc-research.github.io/ https://arakawa-lab.com/wp-content/uploads/2022/01/Nishimura_abc_2021.pdf}, year = {2021}, date = {2021-09-22}, urldate = {2021-09-22}, booktitle = {The 3rd International Conference on Activity and Behavior Computing (ABC2021)}, abstract = {Best Paper Award}, keywords = {Activity recognition, Smart Office}, pubstate = {published}, tppubtype = {inproceedings} } @inproceedings{nakamura-2021-ubicomp, title = {IoT Nudge: IoT data-driven Nudging for Health Behavior Change}, author = {Yugo Nakamura, Yuki Matsuda}, year = {2021}, date = {2021-09-21}, urldate = {2021-09-21}, booktitle = {Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2021 Adjunct, Poster)}, publisher = {Association for Computing Machinery}, keywords = {behavior change, IoT, Nudge}, pubstate = {published}, tppubtype = {inproceedings} } @inproceedings{sophicha-2021-iva, title = {INSHA: Intelligent Nudging System for Hand Hygiene Awareness}, author = {Sopicha Stirapongsasuti, Kundjanasith Thonglek, Shinya Misaki, Yugo Nakamura, Keiichi Yasumoto}, url = {https://dl.acm.org/doi/abs/10.1145/3472306.3478355?sid=SCITRUS }, doi = {10.1145/3472306.3478355}, isbn = {9781450386197}, year = {2021}, date = {2021-09-14}, urldate = {2021-09-14}, booktitle = {The 21th ACM International Conference on Intelligent Virtual Agents (IVA '21)}, pages = {8}, abstract = {Maintaining hand hygiene is the one of the most effective way to prevent the spread of germs during a pandemic. This paper focuses on encouraging people to use a hand sanitizer more frequently by applying the nudge theory to improve hand hygiene behavior in private organizations. We propose a system that recognizes hand hygiene behavior using face recognition and detects hand sanitizer use. The system responds to the user's personal hand hygiene behavior with animation of a virtual bonsai as an interactive agent. To preserve user privacy, we implemented the system on an edge device and conducted experiments for 4 case studies in 2 real-world organizations. The results showed that the system improved the hand hygiene behavior of people in a private organization.}, keywords = {behavior change, COVID-19, Nudge}, pubstate = {published}, tppubtype = {inproceedings} } @inproceedings{kanamitsu-2021-ubicomp, title = {Using Interaction as Nudge to Increase Installation Rate of COVID-19 Contact-Confirming Application}, author = {Yuji Kanamitsu, koki tachibana, Yugo Nakamura, Yuki Matsuda, Hirohiko Suwa, Keiichi Yasumoto}, year = {2021}, date = {2021-09-14}, urldate = {2021-10-20}, booktitle = {Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2021 Adjunct, Poster)}, publisher = {Association for Computing Machinery}, keywords = {behavior change, COVID-19, Nudge}, pubstate = {published}, tppubtype = {inproceedings} } @conference{lavigo-dps, title = {室内照明が与える睡眠状態やメンタルヘルスへの影響}, author = {松尾周汰, 原嶋春輝, 荒川豊}, url = {https://arakawa-lab.com/wp-content/uploads/2022/01/harashima-lavigo-dps.pdf https://arakawa-lab.com/wp-content/uploads/2022/01/Lavigo_DPS_Translate_print.pdf}, year = {2021}, date = {2021-09-02}, urldate = {2021-09-02}, booktitle = {情報処理学会第188回マルチメディア通信と分散処理研究会(DPS)}, keywords = {light, mental health, sleep}, pubstate = {published}, tppubtype = {conference} } @article{s21175719, title = {DisCaaS: Micro Behavior Analysis on Discussion by Camera as a Sensor}, author = {Ko Watanabe and Yusuke Soneda and Yuki Matsuda and Yugo Nakamura and Yutaka Arakawa and Andreas Dengel and Shoya Ishimaru}, editor = {MDPI}, url = {https://www.mdpi.com/1424-8220/21/17/5719}, doi = {10.3390/s21175719}, issn = {1424-8220}, year = {2021}, date = {2021-08-25}, journal = {Sensors}, volume = {21}, number = {17}, abstract = {The emergence of various types of commercial cameras (compact, high resolution, high angle of view, high speed, and high dynamic range, etc.) has contributed significantly to the understanding of human activities. By taking advantage of the characteristic of a high angle of view, this paper demonstrates a system that recognizes micro-behaviors and a small group discussion with a single 360 degree camera towards quantified meeting analysis. We propose a method that recognizes speaking and nodding, which have often been overlooked in existing research, from a video stream of face images and a random forest classifier. The proposed approach was evaluated on our three datasets. In order to create the first and the second datasets, we asked participants to meet physically: 16 sets of five minutes data from 21 unique participants and seven sets of 10 min meeting data from 12 unique participants. The experimental results showed that our approach could detect speaking and nodding with a macro average f1-score of 67.9% in a 10-fold random split cross-validation and a macro average f1-score of 62.5% in a leave-one-participant-out cross-validation. By considering the increased demand for an online meeting due to the COVID-19 pandemic, we also record faces on a screen that are captured by web cameras as the third dataset and discussed the potential and challenges of applying our ideas to virtual video conferences.}, keywords = {Activity recognition, group meeting}, pubstate = {published}, tppubtype = {article} } @article{weko_212309_1, title = {人の動きを捉え社会を動かす人口流動統計:7.大規模位置情報データ連携がもたらす合理的根拠に基づく観光政策立案評価の実現}, author = {荒川 豊 and 石田 繁巳 and 酒井 幸輝 and 谷津 ゆい子}, year = {2021}, date = {2021-08-15}, journal = {情報処理}, volume = {62}, number = {9}, pages = {e36--e41}, keywords = {Congestion detection, EBPM, gps}, pubstate = {published}, tppubtype = {article} } @conference{sato-2021-dicomo, title = {宅内行動認識モデル最適化のためのナッジを用いたアノテーション行動誘導方法の検討}, author = {佐藤 佑磨, 松井 智一, 中村 優吾, 諏訪 博彦, 安本 慶一}, url = {https://arakawa-lab.com/wp-content/uploads/2022/01/p11_1A-3.pdf}, year = {2021}, date = {2021-06-30}, urldate = {2021-06-30}, booktitle = {情報処理学会DICOMOシンポジウム}, keywords = {Activity recognition, Annotation, Nudge, smart home}, pubstate = {published}, tppubtype = {conference} } @conference{kanamitu-2021-dicomo, title = {BLEを用いた路線バスの混雑度推定}, author = {金光 勇慈, 田谷 瑛悟, 立花 巧樹, 中村 優吾, 松田 裕貴, 諏訪 博彦, 安本 慶一}, url = {https://arakawa-lab.com/wp-content/uploads/2022/01/p62_1D-2.pdf}, year = {2021}, date = {2021-06-30}, urldate = {2021-06-30}, booktitle = {情報処理学会DICOMOシンポジウム}, keywords = {BLE, bus, Congestion detection}, pubstate = {published}, tppubtype = {conference} } @conference{tomita-2021-dicomo, title = {観光オブジェクト認識モデルのユーザ参加型構築手法の提案}, author = {冨田 周作, 中村 優吾, 諏訪 博彦, 安本 慶一}, url = {https://arakawa-lab.com/wp-content/uploads/2022/01/p221_2A-2.pdf}, year = {2021}, date = {2021-06-30}, urldate = {2021-06-30}, booktitle = {情報処理学会DICOMOシンポジウム}, keywords = {DTN, federated learning, smart tourism}, pubstate = {published}, tppubtype = {conference} } @conference{tachibana-2021-dicomo, title = {スマートウォッチの音響センサを用いたポイ捨てごみの種別認識手法の提案と評価}, author = {立花 巧樹, 中村 優吾, 松田 裕貴, 諏訪 博彦, 安本 慶一}, url = {https://arakawa-lab.com/wp-content/uploads/2022/01/p325_2C-5.pdf}, year = {2021}, date = {2021-06-30}, urldate = {2021-06-30}, booktitle = {情報処理学会DICOMOシンポジウム}, keywords = {Acoustic sensing, Activity recognition, smart watch}, pubstate = {published}, tppubtype = {conference} } @conference{matsuda-2021-dicomo, title = {人の知覚の集合知による参加型IoTセンサ調整プラットフォームの設計}, author = {松田 裕貴, 中村 優吾, 諏訪 博彦, 安本 慶一}, url = {https://arakawa-lab.com/wp-content/uploads/2022/01/p591_3F-1.pdf}, year = {2021}, date = {2021-06-30}, urldate = {2021-06-30}, booktitle = {情報処理学会DICOMOシンポジウム}, keywords = {Participatory sensing, smart cities}, pubstate = {published}, tppubtype = {conference} } @conference{oyama-2021-dicomo, title = {参加型センシングにおける不良回答を抑制する立場表明手法の提案と評価}, author = {大山 航平, 松田 裕貴, 中村 優吾, 諏訪 博彦, 安本 慶一 }, url = {https://arakawa-lab.com/wp-content/uploads/2022/01/p1013_5E-3.pdf}, year = {2021}, date = {2021-06-30}, urldate = {2021-06-30}, booktitle = {情報処理学会DICOMOシンポジウム}, keywords = {Participatory sensing, satisficing}, pubstate = {published}, tppubtype = {conference} } @conference{oi-2021-dicomo, title = {IMUセンサを用いた棒体操トラッキングシステムの検討}, author = {大井 一輝, 中村 優吾, 松田 裕貴, 藤本 まなと, 安本 慶一 }, url = {https://arakawa-lab.com/wp-content/uploads/2022/01/p1520_8B-2.pdf}, year = {2021}, date = {2021-06-30}, urldate = {2021-06-30}, booktitle = {情報処理学会DICOMOシンポジウム }, keywords = {Activity recognition, sport sensing}, pubstate = {published}, tppubtype = {conference} } @conference{tokuhara-2021-dicomo, title = {頷きのリアルタイムフィードバックによるビデオ会議支援手法の提案}, author = {徳原 耕亮, 荒川 豊, 石田 繁巳}, url = {https://arakawa-lab.com/wp-content/uploads/2022/01/p953_5C-5.pdf}, year = {2021}, date = {2021-06-30}, urldate = {2021-06-30}, booktitle = {情報処理学会DICOMOシンポジウム}, keywords = {group meeting, micro behavior recognition}, pubstate = {published}, tppubtype = {conference} } @conference{nishimura-2021-dicomo, title = {行動データに基づいたオフィスワーカの心理的指標の分析に向けて}, author = {西村 勇亮, Tahera Hossain, 磯村 昇太, 荒川 豊, 井上 創造}, url = {https://arakawa-lab.com/wp-content/uploads/2022/01/p1141_6B-3.pdf}, year = {2021}, date = {2021-06-30}, urldate = {2021-06-30}, booktitle = {情報処理学会DICOMOシンポジウム}, keywords = {mental health, Smart Office, work engagement}, pubstate = {published}, tppubtype = {conference} } @conference{ishida-2021-dicomo, title = {スマートスピーカを用いた間取り推定手法の初期的評価}, author = {石田 繁巳, 城谷 知葵, 光来出 優大, 荒川 豊}, url = {https://arakawa-lab.com/wp-content/uploads/2022/01/p1408_7E-3.pdf}, year = {2021}, date = {2021-06-30}, urldate = {2021-06-30}, booktitle = {情報処理学会DICOMOシンポジウム}, keywords = {Acoustic sensing, smart home}, pubstate = {published}, tppubtype = {conference} } @conference{tokuda-2021-mbl, title = {WiFiとBLEによるハイブリッド混雑度計測における自動パラメータ調整の検討}, author = {徳田 瑛,荒川 豊,高野 茂,石田 繁巳}, year = {2021}, date = {2021-05-20}, booktitle = {情報処理学会MBL研究会}, keywords = {Congestion detection, itocon}, pubstate = {published}, tppubtype = {conference} } @conference{arakawa-mbl-2021, title = {大規模広告位置データによる観光施策立案評価システムの設計}, author = {荒川 豊,石田 繁巳,酒井 幸輝,峯 恒憲}, url = {https://arakawa-lab.com/wp-content/uploads/2023/01/202105_IPSJ_MBL_arakawa.pdf}, year = {2021}, date = {2021-05-20}, urldate = {2021-05-20}, booktitle = {情報処理学会MBL研究会}, keywords = {EBPM, NICT}, pubstate = {published}, tppubtype = {conference} } @article{9429258, title = {Exploring the Impacts of Elaborateness and Indirectness in a Behavior Change Support System}, author = {Zhihua Zhang and Juliana Miehle and Yuki Matsuda and Manato Fujimoto and Yutaka Arakawa and Keiichi Yasumoto and Wolfgang Minker}, doi = {10.1109/ACCESS.2021.3079473}, issn = {2169-3536}, year = {2021}, date = {2021-05-12}, journal = {IEEE Access}, volume = {9}, pages = {74778-74788}, abstract = {Numerous technologies exist for promoting a healthier lifestyle. These technologies collectively referred to as “Behavior Change Support Systems”. However, the majority of existing apps use quantitative data representation. Since it is difficult to understand the meaning behind quantitative data, this approach has been suggested to lower users’ motivation and fail to promote behavior change. Therefore, an interpretation of quantitative data needs to be provided as a supplement. However, different descriptions of the same data may lead to different outcomes. In this paper, we explore the impact of different communication styles for interpretations of quantitative data on behavior change by developing and evaluating Walkeeper \textendash a web-based app that provides interpretations of the users’ daily step counts using different levels of elaborateness and indirectness with the aim of promoting walking. Through the quantitative analysis and results of a user study, we contribute new knowledge on designing such interpretations for quantitative data.}, keywords = {behavior change support system, spoken dialog system}, pubstate = {published}, tppubtype = {article} } @article{9387296, title = {Detection of Careless Responses in Online Surveys Using Answering Behavior on Smartphone}, author = {Masaki Gogami and Yuki Matsuda and Yutaka Arakawa and Keiichi Yasumoto}, doi = {10.1109/ACCESS.2021.3069049}, issn = {2169-3536}, year = {2021}, date = {2021-03-26}, journal = {IEEE Access}, volume = {9}, pages = {53205 - 53218}, abstract = {Some respondents make careless responses due to the “satisficing,” which is an attempt to complete a questionnaire as quickly and easily as possible. To obtain results that reflect a fact, detecting satisficing and excluding the responses with satisficing from the analysis targets are required. One of the devised methods detects satisficing by adding questions that check violations of instructions and inconsistencies. However, this approach may cause respondents to lose their motivation and prompt them to satisficing. Additionally, a deep learning model that automatically answers these questions was reported. This threatens the reliability of the conventional method. To detect careless responses without inserting such screening questions, machine learning (ML) detection using data obtained from answer results was attempted in a previous study, with a detection rate of 55.6%, which is not sufficient from the viewpoint of practicality. Therefore, we hypothesized that a supervised ML model with a higher detection rate could be constructed by using on-screen answering behavior as features. However, (1) no existing questionnaire system can record on-screen answering behavior and (2) even if the answering behavior can be recorded, it is unclear which answering behavior features are associated with satisficing. We developed an answering behavior recording plug-in for LimeSurvey, an online questionnaire system used all over the world, and collected a large amount of data (from 5,692 people) in Japan. Then, a variety of features were examined and generated from answering behavior, and we constructed ML models to detect careless responses.We call this detection method the ML-ABS (ML-based answering behavior scale). Evaluation by cross-validation demonstrated that the detection rate for careless responses was 85.9%, which is much higher than the previous ML method. Among the various features we proposed, we found that reselecting the Likert scale and scrolling particularly contributed to the detection of careless responses.}, keywords = {Answering behavior, Approximation algorithms, careless response, Data models, Deep learning, Feature extraction, Licenses, online questionnaire, Psychology, Reliability, Reliability;Feature extraction;Data models;Psychology;Deep learning;Approximation algorithms;Licenses;Answering behavior;careless response;online questionnaire;satisficing;smartphone;supervised machine learning;touchscreen, satisficing, smartphone, supervised machine learning, touchscreen}, pubstate = {published}, tppubtype = {article} } @inproceedings{sac2021-koike, title = {Called Function Identification of IoT Devices by Network Traffic Analysis}, author = {Daichi Koike, Shigemi Ishida, Yutaka Arakawa}, url = {https://arakawa-lab.com/wp-content/uploads/2022/01/202103_ACM-SAC_koike_proceedings.pdf}, year = {2021}, date = {2021-03-22}, booktitle = {The 36th ACM/SIGAPP Symposium On Applied Computing (SAC2021)}, pages = {737-743}, keywords = {IoT, privacy}, pubstate = {published}, tppubtype = {inproceedings} } @inbook{dagaku-jihou, title = {情報技術で3密回避を支援~時差通勤・通学を促すためのバス停混雑度情報可視化システムの開発~}, author = {荒川豊}, editor = {大学時報}, issn = {0288-1748}, year = {2021}, date = {2021-03-20}, volume = {69}, number = {397}, pages = {86-91}, publisher = {日本私立大学連盟}, keywords = {itocon}, pubstate = {published}, tppubtype = {inbook} } @conference{kenta2021, title = {就業中における作業・非作業状態の推定手法の提案}, author = {林 健太, 熊副 慎吾, 石田 繁巳, 荒川 豊}, url = {https://arakawa-lab.com/wp-content/uploads/2022/01/202103_IPSJ-taikai_hayashi.pdf}, year = {2021}, date = {2021-03-11}, urldate = {2021-03-11}, booktitle = {情報処理学会第83回全国大会}, keywords = {Activity recognition}, pubstate = {published}, tppubtype = {conference} } @conference{yudai2021, title = {2つのマイクによる部屋レベル話者位置推定の検討}, author = {光来出 優大, 城谷 知葵, 石田 繁巳, 荒川 豊}, url = {https://arakawa-lab.com/wp-content/uploads/2022/01/main.pdf}, year = {2021}, date = {2021-03-11}, urldate = {2021-03-11}, booktitle = {情報処理学会第83回全国大会}, keywords = {Acoustic sensing}, pubstate = {published}, tppubtype = {conference} } @conference{joya2021, title = {生活音からの部屋種別推定手法の検討}, author = {城谷 知葵, 光来出 優大, 石田 繁巳, 荒川 豊}, url = {https://arakawa-lab.com/wp-content/uploads/2022/01/202103_IPSJ-taikai_joya.pdf}, year = {2021}, date = {2021-03-11}, urldate = {2021-03-11}, booktitle = {情報処理学会第83回全国大会}, keywords = {Acoustic sensing}, pubstate = {published}, tppubtype = {conference} } @conference{tokunaga2021, title = {プログラミング教育における 課題提出時刻に基づく自己調整学習の状況認識}, author = {徳永 大空, 荒川 豊, 石田 繁巳, 島田 敬士, 峯 恒憲}, year = {2021}, date = {2021-03-11}, booktitle = {情報処理学会第83回全国大会}, keywords = {learning analytics}, pubstate = {published}, tppubtype = {conference} } @conference{arita2021, title = {エナジーハーベストな名札による屋内場所推定システムの開発}, author = {有田 充, 石田 繁巳, 荒川 豊}, url = {https://arakawa-lab.com/wp-content/uploads/2022/01/arita-main.pdf}, year = {2021}, date = {2021-03-11}, urldate = {2021-03-11}, booktitle = {情報処理学会第83回全国大会}, keywords = {Energy Harvesting, localization}, pubstate = {published}, tppubtype = {conference} } @conference{gogami-interaction2021, title = {オンラインアンケート回答時のスマートフォン画面操作状況に基づく不適切回答検出}, author = {後上 正樹,松田 裕貴,荒川 豊,安本 慶一}, year = {2021}, date = {2021-03-10}, booktitle = {第25回一般社団法人情報処理学会シンポジウム・インタラクション2021}, abstract = {アンケートにおいて,なるべく楽に早くタスクを完了しようとする「Satisficing(努力の最小限化)」という態度により,結果の信頼性が低下する問題がある.より正確な結果を得るためには,Satisficingを検出して分析対象から除外するなどの前対処が必要となる.これまでに,回答時間に基づく検出手法や,指示違反や矛盾を問う質問群を追加する手法が考案されてきた.しかし,前者では回答時間を故意に水増しした回答を適切に除外することができない.また,後者は回答者を疑ってスクリーニングするようなものであり,回答者のモチベーションを損ねてSatisficingを助長してしまう原因となる.そこで我々は,回答時間だけでなく回答中の画面操作を利用することで,より高精度にSatisficingが検出可能になるのではないかという仮説を立てた.しかしながら,(1)画面操作が記録可能なアンケートシステムが存在しない,(2)記録できたとしてどのような特徴がSatisficingと関連しているのか不明であった.そこで,我々は世界中で利用されているLimeSurvey用の画面操作記録プラグインを開発し,多人数(5692人)の様々な画面操作ログを収集して,機械学習によるSatisficing検出を行なった.Leave One Out交差検証による評価の結果,検出率は85.9%を達成し,同様のタスクに取り組んだ先行研究の検出率55.6%を大幅に上回るものとなった.また,本稿で新たに提案した特徴量の中では,スクロールに関連する特徴の寄与率が高い一方で,テキストの削除に関する特徴の寄与率は低い結果となった.}, keywords = {mental health}, pubstate = {published}, tppubtype = {conference} } @inproceedings{Hayashi2021, title = {Distinguishing Working State by Palm Orientation}, author = {Kenta Hayashi, Shingo Kumazoe, Shigemi Ishida, Yutaka Arakawa}, url = {https://ieeexplore.ieee.org/document/9391950}, doi = {10.1109/LifeTech52111.2021.9391950}, year = {2021}, date = {2021-03-10}, urldate = {2021-03-10}, booktitle = {2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech 2021)}, abstract = {When working from home, self-management becomes of paramount importance due to the absence of a boss or colleagues. As a result, individuals tend to waste time surfing the internet and playing with our smartphones. We propose a wrist-worn sensor-based system that identifies whether a desk worker is working or not for self-management and productivity. Our main hypothesis is that the identification of the various tasks that occur during desk work, such as using computers, reading books, manipulating a smartphone, and writing, can be simply distinguished by the direction of the palm. In this paper, to verify our hypothesis, we measure various tasks with the wrist-worn sensor attached to clarify the relationship between hand orientation and each task. At the same time, we develop a machine learning-based classifier to distinguish between the states of `working' and `not-working' using the obtained hand orientation data. We performed 10-fold cross-validation and Leave-One-Person-Out validation and we found that it was possible to distinguish whether a desk worker is working or not with an F1-value of 0.8 or higher.}, keywords = {Activity recognition}, pubstate = {published}, tppubtype = {inproceedings} } @conference{gogami-deim2021, title = {オンラインアンケートにおける不適切回答自動検出に向けた回答操作ログ分析}, author = {後上 正樹,松田 裕貴,荒川 豊,安本 慶一}, year = {2021}, date = {2021-03-01}, booktitle = {第13回データ工学と情報マネジメントに関するフォーラム}, keywords = {psychosocial factors}, pubstate = {published}, tppubtype = {conference} } @article{9345686, title = {Measuring “Nigiwai” from Pedestrian Movement}, author = {Mohamed A. Abdelwahab, Shizuo Kaji, Maiya Hori, Shigeru Takano, Yutaka Arakawa, Rin-ichiro Taniguchi}, url = {https://youtu.be/Jd_vKuU4HXI}, doi = {10.1109/ACCESS.2021.3056698}, issn = {2169-3536}, year = {2021}, date = {2021-02-05}, journal = {IEEE Access}, volume = {9}, pages = {24859 - 24871}, abstract = {The analysis of the movement of people in a shopping area with the aim of improving marketing is an important research topic. Many conventional methods are dependent on the density of people in the area, which is easily estimated by counting the people entering or exiting the area. However, a high density does not always mean an increase in activity, as certain people are simply passing the area at a given time. The primary goal of this study was to introduce a set of indicators for measuring the bustle of the area, which we call “Nigiwai,” from pedestrian movement by using an analogy from classical kinematics. Such indicators can be used to measure the impact of promotional events and to optimize the design of the area. Our novel indicators were evaluated with simulated pedestrian scenarios and were demonstrated to distinguish shopping scenarios from those in which people move around without shopping successfully, even when the latter scenarios had much higher densities. The indicators were computed solely from the pedestrian trajectory, which can easily be obtained from ordinary sensors using deep learning-based techniques. As a demonstration with real data, we applied our method to a video of a street and provided a visualization of the indicators.}, keywords = {area measurement}, pubstate = {published}, tppubtype = {article} } @inproceedings{jian21:icdcn_mfsensb2, title = {Initial Attempt on Wi-Fi CSI Based Vibration Sensing for Factory Equipment Fault Detection}, author = {Sirui Jian, Shigemi Ishida, Yutaka Arakawa }, url = {https://arakawa-lab.com/wp-content/uploads/2022/01/jian_wifi.pdf}, doi = {10.1145/3427477.3429462}, year = {2021}, date = {2021-01-08}, urldate = {2021-01-08}, booktitle = {International Workshop on Maintenance-Free Context Sensing (MFSens), in conjunction with International Conference on Distributed Computing and Networking (ICDCN)}, pages = {163-168}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } @article{荒川豊2020, title = {情報技術の進展に伴う“作業”の変化}, author = {荒川 豊}, doi = {10.32191/jjos.14.003}, issn = {2434-4176}, year = {2020}, date = {2020-12-31}, journal = {作業科学研究}, volume = {14}, number = {1}, pages = {13-17}, abstract = {IoT(Internet of Things)と AI(Artificial Intelligence)が急速に進展し,自動運転やスマートホームなども現実のものとなろうとしている.コロナウイルス感染症の広がりにより,リモートワークや遠隔講義が当たり前という時代もあっという間に到来してしまった.本講演では,情報系研究者の立場から,このような最先端の技術が「作業」に与える影響について俯瞰するともに,新しい時代の作業のあり方について述べる.}, keywords = {Activity recognition}, pubstate = {published}, tppubtype = {article} } @conference{inoue-semi-2020, title = {[依頼講演] itocon:複数の混雑度センサを用いたバス停混雑度可視化システム}, author = {井上 隼英 and 髙橋 遼 and 林 健太 and 光来出 優大 and 二俣 雅紀 and 松尾 周汰 and 石田 繁巳 and 荒川 豊 and 高野 茂}, year = {2020}, date = {2020-11-19}, booktitle = {電子情報通信学会センサネットワークとモバイルインテリジェンス研究会(SeMI)}, keywords = {beacon, behavior change, itocon}, pubstate = {published}, tppubtype = {conference} } @conference{jsnet-yoshie-2020, title = {アイトラッカーによる注視点分析を用いた血管内治療の教育}, author = {吉江 智秀 and 松田 裕貴 and 荒川 豊 and 大坪 治喜 and 荒賀 崇 and 辰野 健太郎 and 高石 智 and 臼杵 乃理子 and 植田 敏浩}, year = {2020}, date = {2020-11-19}, booktitle = {第36回日本脳神経血管内治療学会学術総会}, keywords = {eye tracker}, pubstate = {published}, tppubtype = {conference} } @inproceedings{bdawton20:vtc-fall, title = {Proposal for a Compressive Measurement-Based Acoustic Vehicle Detection and Identification System}, author = {Dawton, Billy and Ishida, Shigemi and Hori, Yuki and Uchino, Masato and Arakawa, Yutaka}, year = {2020}, date = {2020-11-18}, booktitle = {Proceedings of the 92nd IEEE Vehicular Technology Conference (VTC2020-Fall)}, pages = {1-6}, keywords = {Acoustic sensing, compressive sensing, Vehicle identification}, pubstate = {published}, tppubtype = {inproceedings} } @conference{fukuda-mbl-2020, title = {健常者のうつ兆候検知に向けた睡眠状態と労働衛生指標の統計分析}, author = {福田 修之 and 松田 裕貴 and 荒川 豊 and 安本 慶一}, year = {2020}, date = {2020-11-17}, booktitle = {情報処理学会第97回MBL研究会}, keywords = {DAMS, fitbit, mental health}, pubstate = {published}, tppubtype = {conference} } @inproceedings{sensys2020-takano, title = {Towards ICT based mobility support system with in the COVID-19 era}, author = {Shigeru Takano, Maiya Hori, Yutaka Arakawa, Rin-ichiro Taniguchi }, year = {2020}, date = {2020-11-16}, booktitle = {The 18th ACM Conference on Embedded Networked Sensor Systems (SenSys 2020)}, keywords = {behavior change, Intelligent Transport Systems (ITS)}, pubstate = {published}, tppubtype = {inproceedings} } @inproceedings{sensys2020-takahashi, title = {Itocon - A System for Visualizing the Congestion of Bus Stops around Ito Campus in Real-time}, author = {Ryo Takahashi, Kenta Hayashi, Yudai Mitsukude, Masanori Futamata, Shunei Inoue, Shuta Matsuo, Shigemi Ishida, Yutaka Arakawa, Shigeru Takano}, year = {2020}, date = {2020-11-16}, booktitle = {The 18th ACM Conference on Embedded Networked Sensor Systems (SenSys 2020)}, keywords = {Intelligent Transport Systems (ITS)}, pubstate = {published}, tppubtype = {inproceedings} } @inproceedings{10.1145/3436829.3436868, title = {An Inter-Organizational Software Architecture for Smart Mobility}, author = {Tsuneo Nakanishi and Yutaka Arakawa and Takahiro Ando and Shigemi Ishida and Kenji Hisazumi and Tsunenori Mine and Akira Fukuda}, url = {https://doi.org/10.1145/3436829.3436868}, doi = {10.1145/3436829.3436868}, isbn = {9781450377218}, year = {2020}, date = {2020-11-11}, booktitle = {Proceedings of the 2020 9th International Conference on Software and Information Engineering (ICSIE)}, pages = {41\textendash46}, publisher = {Association for Computing Machinery}, address = {Cairo, Egypt}, series = {ICSIE 2020}, abstract = {In this paper, the authors present SMArch, an inter-organizational software architecture for smart mobility, which can be defined as services coordinating multi-modal mobility. The architecture is extended from the Japanese system architecture for intelligent transportation systems (ITS), which is defined in 1999 and used for a reference giving a shared vision among stakeholders involved in ITS. Although the Japanese ITS architecture focuses road traffic only, SMArch focuses any mobility including not only road vehicles but also airplanes and ships. Moreover, SMArch introduces the service path concept, handles the itinerary as a series of mobility services and staying services such as lodging, dining and parking. Service coordinating agents present service path candidates satisfying the given traveler's requirements. The agents and other services interact to search for such service path candidates with the service path query language defined based on the service path concept and the information model defined in the SMArch.}, keywords = {architecture, its, MaaS, smart mobility}, pubstate = {published}, tppubtype = {inproceedings} } @conference{itocon-dpsws, title = {バス停混雑度可視化システムitocon(いとこん)}, author = {髙橋 遼 and 林 健太 and 光来出 優大 and 二俣 雅紀 and 井上 隼英 and 松尾 周汰 and 石田 繁巳 and 荒川 豊 and 高野 茂}, url = {https://arakawa-lab.com/wp-content/uploads/2022/01/IPSJ-DPSWS2020034.pdf}, year = {2020}, date = {2020-11-04}, urldate = {2020-11-04}, booktitle = {第28回 マルチメディア通信と分散処理ワークショップ (DPSWS2020)}, keywords = {bus, Congestion detection, Intelligent Transport Systems (ITS)}, pubstate = {published}, tppubtype = {conference} } @inproceedings{matsuda-iciev2020, title = {Analysis of Tourists' Nationality Effects on Behavior-based Emotion and Satisfaction Estimation}, author = {Yuki Matsuda and Dmitrii Fedotov and Yutaka Arakawa and Hirohiko Suwa and Wolfgang Minker and Keiichi Yasumoto}, year = {2020}, date = {2020-08-26}, booktitle = {The 9th International Conference on Informatics, Electronics \& Vision (ICIEV) 2020}, keywords = {emotion recognition, smart tourism}, pubstate = {published}, tppubtype = {inproceedings} } @article{smartcities3030037, title = {Gamified Participatory Sensing in Tourism: An Experimental Study of the Effects on Tourist Behavior and Satisfaction}, author = {Shogo Kawanaka and Yuki Matsuda and Hirohiko Suwa and Manato Fujimoto and Yutaka Arakawa and Keiichi Yasumoto}, url = {https://www.mdpi.com/2624-6511/3/3/37}, doi = {10.3390/smartcities3030037}, issn = {2624-6511}, year = {2020}, date = {2020-07-16}, journal = {Smart Cities}, volume = {3}, number = {3}, pages = {736--757}, abstract = {In the tourism sector, user-generated information and communication among tourists are perceived to be more effective and reliable contents. In addition, the collection of dynamic tourism information with high spatio-temporal resolution is required to provide comfortable tourism in response to the changing tourism style with the advancement of information technology. Participatory sensing, which can collect various types of information is a useful method by which to collect these contents. However, continuous participation of users is essential in participatory sensing, and it is one of the most important points to stimulate participation motivation. In the tourism situation, we also need to pay attention to the total tourist satisfaction of participants. In this paper, we adopt gamification, i.e., the implementation of game design elements in real-world contexts for non-gaming purposes, for participatory sensing as an incentive mechanism to motivate participants with active participation and collect the necessary information efficiently. Within the framework, where points are given when completing the requested sensing task (=mission), two sensing missions with different burdens; Area Mission and Check-in Mission, and three different types of rewarding mechanisms; Fixed, Variable and Dynamic Variable, are designed as a gamification mechanism. We implemented these elements in the proposed participatory sensing platform application and conducted an experimental case study with 33 participants at an actual tourist spot: Kyoto, Japan. Then, we investigate the effects on tourist behavior and satisfaction by analyzing collected sensor data, mission logs, and post-survey answers. As a result, we can conclude the following: (1) the tourist behavior is changed due to the proposed gamification design and the necessary information was collected efficiently; (2) the participants tend to prioritize Check-in Mission over the sightseeing, which can induce a behavior change but might impact sightseeing enjoyment.}, keywords = {gamification, smart tourism}, pubstate = {published}, tppubtype = {article} } @conference{koike-dicomo2019, title = {通信トラヒック分析に基づくIoTデバイスの発動機能推定手法の検討}, author = {小池 大地 and 石田 繁巳 and 荒川 豊 }, url = {https://arakawa-lab.com/wp-content/uploads/2022/01/p933_5G-2.pdf}, year = {2020}, date = {2020-06-24}, urldate = {2020-06-24}, booktitle = {マルチメディア,分散,協調とモバイル(DICOMO2020)シンポジウム}, pages = {933 - 939}, abstract = {近年,IoTデバイスが多くの場面で利用されるようになっており,今後もデバイスの数は増え続けると考えられる.IoTデバイスは外部ネットワークに接続されていることによりハッキングの対象にもなり,プライバシー流出の原因となる可能性が指摘されている.現在のIoTデバイスは動作がブラックボックスであることから,デバイスがユーザの意図しない通信を行っていた場合に気づく術がない.そこで,我々はIoTデバイスの動作状況の可視化システム(IoT活動量計)の実現を目指している.その実現のため,本研究では,IoTデバイスの通信トラヒックを分析し,どのような機能が使われているかを推定する手法を提案する.パケットキャプチャアプリであるWiresharkを用いてスマートスピーカーAmazon Echo Spotから送出されるデータに対して初期的評価を行い,通信トラヒックから発動した10種類の機能を精度56.1%で推定できることを確認した.}, keywords = {IoT, privacy, security, trust}, pubstate = {published}, tppubtype = {conference} } @conference{arakawa-dicomo-2020, title = {[招待講演]Fitbitを使った一般人からの生体データセンシング}, author = {荒川豊}, year = {2020}, date = {2020-06-24}, booktitle = {マルチメディア,分散,協調とモバイル(DICOMO2020)シンポジウム}, pages = {1}, keywords = {fitbit, mental health}, pubstate = {published}, tppubtype = {conference} } @article{doi:10.1002/1348-9585.12132, title = {Psychosocial impact of COVID-19 for general workers}, author = {Akihito Shimazu and Akinori Nakata and Tomohisa Nagata and Yutaka Arakawa and Sachiko Kuroda and Nobuyuki Inamizu and Isamu Yamamoto}, url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/1348-9585.12132}, doi = {10.1002/1348-9585.12132}, year = {2020}, date = {2020-06-02}, journal = {Journal of Occupational Health}, volume = {62}, number = {1}, pages = {e12132}, keywords = {COVID-19, general workers, mental health, psychosocial factors}, pubstate = {published}, tppubtype = {article} } @inproceedings{Yamamoto2020:ble-2step, title = {Design of BLE 2-Step Separate Channel Fingerprinting}, author = {Takahiro Yamamoto and Shigemi Ishida and Ryota Kimoto and Shigeaki Tagashira and Akira Fukuda}, year = {2020}, date = {2020-05-25}, booktitle = {IEEE Vehicular Technology Conference (VTC2020-Spring)}, address = {Antwerp, Belgium}, keywords = {BLE, indoor sensing, localization}, pubstate = {published}, tppubtype = {inproceedings} } @inproceedings{Wada2005:Implementation, title = {Implementation and Field Evaluation of Location-based Nursing Record System QuickCareRecord}, author = {Haruka Wada and Zhihua Zhang and Manato Fujimoto and Yutaka Arakawa and Keiichi Yasumoto}, year = {2020}, date = {2020-05-20}, booktitle = {2020 14th International Symposium on Medical Information Communication Technology (ISMICT) (ISMICT2020)}, address = {Nara, Japan}, abstract = {In Japan, the demand for nursing homes is increasing due to the increasing number of elderly people. Therefore, the burden on care work for nursing staff becomes very large. In a nursing home staff spend a large amount of time in making care reports which reduces the time for doing the essential care for residents (i.e., elderly people). Thus, to reduce the work burden for staff, the system on which staff can create reports easily and instantly is needed. In our previous work, to reduce the burden of making care reports, we have propose a location-based nursing record system, called ``QuickCareRecord,'' which can automatically switch information input screen and its items depending on location. However, this work conducted only a limited evaluation by emulated environment. In this paper, we actually implement the proposed system by using BLE beacon and small terminal based on our previous work. To show the effectiveness of the proposed system, we carry out the experiment in the actual nursing home. As a result, we show that the proposed system can identify the care location and care recipient approximately, staff can make care records easily and accurately.}, keywords = {Activity recognition}, pubstate = {published}, tppubtype = {inproceedings} } @article{TeruhiroMIZUMOTO20202019EDP7226, title = {Design and Implementation of Sensor-Embedded Chair for Continuous Sitting Posture Recognition}, author = {Teruhiro, MIZUMOTO and Yasuhiro, OTODA and Chihiro, NAKAJIMA and Mitsuhiro, KOHANA and Motohiro, UENISHI and Keiichi, YASUMOTO and Yutaka, ARAKAWA}, url = {https://www.jstage.jst.go.jp/article/transinf/E103.D/5/E103.D_2019EDP7226/_pdf/-char/en}, doi = {10.1587/transinf.2019EDP7226}, year = {2020}, date = {2020-05-01}, journal = {IEICE Transactions on Information and Systems}, volume = {E103.D}, number = {5}, pages = {1067-1077}, abstract = {In this paper, we design and develop a sensor-embedded office chair that can measure the posture of the office worker continuously without disturbing their job. In our system, eight accelerometers, that are attached at the back side of the fabric surface of the chair, are used for recognizing the posture. We propose three sitting posture recognition algorithms by considering the initial position of the chair and the difference of physique. Through the experiment with 28 participants, we confirm that our proposed chair can recognize the sitting posture by 75.4% (algorithm 1), 83.7% (algorithm 2), and 85.6% (algorithm 3) respectively.}, keywords = {Activity recognition, Smart Office}, pubstate = {published}, tppubtype = {article} } @inproceedings{zhang-bcss-2020, title = {Embedding Additional Behaviors Into Users’ Daily Routines for Improving Users’ Awareness of Self-Health Condition}, author = {Zhihua, Zhang and Yuki, Matsuda and Manato, Fujimoto and Yutaka, Arakawa and Keiichi, Yasumoto}, url = {http://arakawa-lab.com/wp-content/uploads/2020/04/Zhang_etal_BCSS2020.pdf}, year = {2020}, date = {2020-04-20}, booktitle = {Eighth International Workshop on Behavior Change Support Systems (BCSS 2020)}, keywords = {behavior change support system}, pubstate = {published}, tppubtype = {inproceedings} } @article{Hidaka2020, title = {On-site Trip Planning Support System Based on Dynamic Information on Tourism Spots}, author = {Masato Hidaka and Yuki Kanaya and Shogo Kawanaka and Yuki Matsuda and Yugo Nakamura and Hirohiko Suwa and Manato Fujimoto and Yutaka Arakawa and Keiichi Yasumoto}, url = {https://www.mdpi.com/687588}, doi = {10.3390/SMARTCITIES3020013}, year = {2020}, date = {2020-04-10}, journal = {Smart Cities}, volume = {3}, number = {2}, pages = {212--231}, publisher = {Multidisciplinary Digital Publishing Institute}, abstract = {Recently, due to the drastic increase in foreign tourists coming to Japan, there has been a demand to provide smart tourism services that enable inbound tourists to comfortably enjoy sightseeing. To provide satisfactory experiences for tourists, it is desirable to provide tourist information in a timely manner by considering dynamic information, which is information that changes over time, such as current congestion information in destination spots and travel route information, in addition to static information, such as the preferences and profiles of tourists. However, in many existing systems, serious problems occur, such as (1) a lack of support for on-site use, (2) a lack of consideration of dynamic information, and (3) heavy burden on tourists. In this paper, we propose a novel system that can provide tourism plans for tourism spots in a timely manner. The proposed system consists of the following two key mechanisms: (A) A mechanism for acquiring preference information from tourists (including preference on dynamic information); (B) a curation mechanism for realizing on-site tourism. To demonstrate the effectiveness of the proposed system, we carried out evaluation experiments utilizing real tourism spots and simulations. As a result, we obtained the following primary findings: (1) On-site tourism spot recommendation is effective for tourists who do not make detailed tourism plans before sightseeing; (2) preference information for participants can be reflected in the tourism spot recommendation while massively reducing the burden on participants; (3) it is possible to obtain a higher satisfaction level than is achieved with model courses, which are often used for sightseeing.}, keywords = {acquisition of preference information, dynamic information, GIS (Geographical Information System), on, site tourism recommendation, trip planning}, pubstate = {published}, tppubtype = {article} } @inproceedings{Tani2003:WorkerSense, title = {WorkerSense: Mobile Sensing Platform for Collecting Physiological, Mental, and Environmental State of Office Workers}, author = {Yuri Tani and Shuichi Fukuda and Yuki Matsuda and Sozo Inoue and Yutaka Arakawa}, year = {2020}, date = {2020-03-23}, booktitle = {PerHealth 2020: 5th IEEE PerCom Workshop on Pervasive Health Technologies (PerHealth 2020)}, abstract = {In data collection of the human physiological and psychological conditions for mental healthcare (e.g., work engagement), measurement methods using environment-installed sensors and questionnaire surveys have been often used. However, these approaches are not practical in continuous data collection, due to the large burden for people. Recently, in association with advancing sensing technology with IoTs, sensing by small sensors and wearable devices has become possible easily. In this paper, we aim to establish a simple and general sensing method based on a mobile application for measuring physiological and psychological state of office workers and environmental state. Through the experiment for 2-3 weeks involving 60 office workers of four Japanese companies by using our application, we succeeded to create a dataset of physiological, environment, and mental state. This paper explains the developed mobile application, experimental procedure, and a summary of the data collected in the experiment.}, keywords = {Mobile sensing; Wearable devices; Environmental sensors; Psychology survey; Mental health; Work engagement}, pubstate = {published}, tppubtype = {inproceedings} } @inproceedings{Uchi2003:Initial, title = {Initial Design of Two-Stage Acoustic Vehicle Detection System for High Traffic Roads}, author = {Masato Uchino and Billy Dawton and Yuki Hori and Shigemi Ishida and Shigeaki Tagashira and Yutaka Arakawa and Akira Fukuda}, year = {2020}, date = {2020-03-23}, booktitle = {PerVehicle 2020: 2nd International Workshop on Pervasive Computing for Vehicular Systems (PerVehicle 2020)}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } @inproceedings{Fuku2003:Predicting, title = {Predicting Depression and Anxiety Mood by Wrist-Worn Sleep Sensor}, author = {Shuichi Fukuda and Yuki Matsuda and Yutaka Arakawa and Keiichi Yasumoto and Yuri Tani}, url = {https://arakawa-lab.com/wp-content/uploads/2022/08/1570616568-stamped-e.pdf https://ieeexplore.ieee.org/document/9156176}, year = {2020}, date = {2020-03-23}, urldate = {2020-03-23}, booktitle = {WristSense 2020: 6th Workshop on Sensing Systems and Applications using Wrist Worn Smart Devices (WristSense 2020)}, abstract = {In recent years, researches on recognizing daily behavior and psychological / physiological states has been actively conducted to change the behavior of workers working in companies. In this paper, we analyzed Occupational Health questionnaire named DAMS on waking-up time and daily sleep data that are acquired from wearable devices in 2--3 weeks experiment of 60 office workers working at five general companies. By using a machine learning method, our binary Balanced Random Forest model predicts depression, positive, and anxiety moods in two levels, high and low. As a result of Leave One Person Out cross validation, it was confirmed that our model estimated with the F1 values of depression mood: 0.776, positive mood: 0.610, anxiety mood: 0.756. Moreover, we evaluated the variance of the three estimations among subjects by the box chart. It was confirmed that there is variance in estimation accuracy for each subject.}, keywords = {stress sensing, wearable computing, Wrist Sensor; Life log; Machine learning; Wearable computing; Occupational Health}, pubstate = {published}, tppubtype = {inproceedings} } @inproceedings{arakawa-ah2020, title = {Augmented Workplace: Human-Sensor Interaction for Improving the Work Environment}, author = {Yutaka Arakawa}, url = {http://arakawa-lab.com/wp-content/uploads/2020/03/AH2020-poster-arakawa.pdf}, year = {2020}, date = {2020-03-16}, booktitle = {Augmented Humans 2020}, keywords = {behavior change support system, Smart Office}, pubstate = {published}, tppubtype = {inproceedings} } @conference{nakanishi-its-2020, title = {SMArch: スマートモビリティのためのソフトウェアアーキテクチャ}, author = {中西 恒夫 and 荒川 豊 and 安藤 崇央 and 石田 繁巳 and 金子 邦彦 and 田頭 茂明 and 久住 憲嗣 and 峯 恒憲 and 福田 晃}, url = {https://www.ieice.org/ken/paper/20200310W1ws/}, year = {2020}, date = {2020-03-10}, booktitle = {電子情報通信学会高度交通システム (ITS) 研究会}, keywords = {Intelligent Transport Systems (ITS), smart mobility, software architecture}, pubstate = {published}, tppubtype = {conference} } @inproceedings{Dawton2020:ieee_sas, title = {Initial Evaluation of Vehicle Type Identification using Roadside Stereo Microphones}, author = {Billy Dawton and Shigemi Ishida and Yuki Hori and Masato Uchino and Yutaka Arakawa and Shigeaki Tagashira and Akira Fukuda}, year = {2020}, date = {2020-03-09}, booktitle = {IEEE Sensors Applications Symposium (IEEE SAS 2020)}, address = {Kuala Lumpur}, keywords = {Acoustic sensing, Intelligent Transport Systems (ITS), Vehicle detection, Vehicle identification}, pubstate = {published}, tppubtype = {inproceedings} } @conference{ipsj-its-202003-orihara, title = {Wi-Fi信号を用いた自動車・自転車検出手法の設計と評価}, author = {折原凌 and 石田繁巳 and 荒川豊 and 福田晃}, year = {2020}, date = {2020-03-09}, booktitle = {情報処理学会ITS研究会}, keywords = {Intelligent Transport Systems (ITS), Vehicle detection}, pubstate = {published}, tppubtype = {conference} } @conference{ipsj-its-202003-hori, title = {主電動機磁励音を用いた鉄道乗車位置推定手法の設計と評価}, author = {堀 佑貴 and 石田 繁巳 and 内野 雅人 and 安藤 崇央 and 荒川 豊 and 福田 晃}, year = {2020}, date = {2020-03-09}, booktitle = {情報処理学会ITS研究会}, keywords = {Acoustic sensing, train detection, train number estimation}, pubstate = {published}, tppubtype = {conference} } @conference{tsuruyama-wssit-2020, title = {W2VXMを用いた飲食店向け賃料推定モデルの構築}, author = {鶴山 優季子 and 諏訪 博彦 and 小川 祐樹 and 荒川 豊 and 安本 慶一}, year = {2020}, date = {2020-03-07}, booktitle = {社会システムと情報技術研究ウィーク}, keywords = {rent estimation}, pubstate = {published}, tppubtype = {conference} } @conference{torigoe-wssit-2020, title = {剣道上達支援システムの実現に向けたウェアラブルセンサによる打突動作の熟練度評価}, author = {鳥越 庸平 and 中村 優吾 and 藤本 まなと and 荒川 豊 and 安本 慶一}, year = {2020}, date = {2020-03-07}, urldate = {2020-03-07}, booktitle = {社会システムと情報技術研究ウィーク}, keywords = {Activity recognition, kendo, sport sensing}, pubstate = {published}, tppubtype = {conference} } @conference{ipsj-taikai-2020-hayashi, title = {単一の加速度センサによる座位姿勢認識チェアの検討}, author = {林 健太 and 石田 繁巳 and 荒川 豊}, year = {2020}, date = {2020-03-05}, booktitle = {情報処理学会第82回全国大会}, keywords = {Activity recognition, posture recognition, smart chair}, pubstate = {published}, tppubtype = {conference} } @conference{ipsj-taika-2020-tokuda, title = {IoT システムのプロトタイピングに関する問題点の考察}, author = {徳田 瑛 and 林 健太 and 石田 繁巳 and 荒川豊}, year = {2020}, date = {2020-03-05}, urldate = {2020-03-05}, booktitle = {情報処理学会第82回全国大会}, keywords = {IoT, javascript robotics, Maker}, pubstate = {published}, tppubtype = {conference} } @conference{ipsj-taikai-2020-uchino, title = {音響車両検出システムの多車線道路における車線推定手法の提案}, author = {内野 雅人 and Billy Dawton and 堀 祐貴 and 石田 繁巳 and 田頭 茂明 and 荒川 豊 and 福田 晃}, year = {2020}, date = {2020-03-05}, booktitle = {情報処理学会第82回全国大会}, keywords = {Intelligent Transport Systems (ITS), Vehicle detection}, pubstate = {published}, tppubtype = {conference} } @conference{ipsj-taikai-2020-orihara, title = {Wi-Fi信号を用いた見通し・非見通し混在環境における自動車・自転車検出手法の検討}, author = {折原 凌 and 石田 繁巳 and 荒川 豊 and 福田 晃}, year = {2020}, date = {2020-03-05}, booktitle = {情報処理学会第82回全国大会}, keywords = {Acoustic sensing}, pubstate = {published}, tppubtype = {conference} } @conference{ipsj-taikai-2020-matsumoto, title = {無線LANを用いたデバイスフリー室内混雑度推定の初期評価}, author = {松本 大生 and 高橋 遼 and 石田 繁巳 and 荒川 豊}, year = {2020}, date = {2020-03-05}, booktitle = {情報処理学会第82回全国大会}, keywords = {WiFi, 混雑度}, pubstate = {published}, tppubtype = {conference} } @conference{ipsj-taikai-2020-mitsukude, title = {冷蔵庫開閉音を用いた人物識別の検討}, author = {光来出 優大 and 林 健太 and 石田 繁巳 and 荒川 豊 and 福田 晃}, year = {2020}, date = {2020-03-05}, booktitle = {情報処理学会第82回全国大会}, keywords = {Activity recognition, 冷蔵庫}, pubstate = {published}, tppubtype = {conference} } @conference{ipsj-taikai-2020-tokuhara, title = {グループミーティング動画からの発話量抽出手法の検討}, author = {徳原 耕亮 and Billy Dawton and 石田 繁巳 and 荒川 豊 and 曽根田 悠介 and 松田 裕貴}, year = {2020}, date = {2020-03-05}, booktitle = {情報処理学会第82回全国大会}, keywords = {group meeting, 微表情認識}, pubstate = {published}, tppubtype = {conference} } @conference{ipsj-taikai-2020-matsuo, title = {継続的なストレスチェックを実現するためのスマートウォッチアプリケーションの設計と実装}, author = {松尾 周汰 and 荒川 豐 and 石田 繁巳 }, year = {2020}, date = {2020-03-05}, booktitle = {情報処理学会第82回全国大会}, keywords = {fitbit, stress sensing, wearable computing}, pubstate = {published}, tppubtype = {conference} } @conference{soneda-ubi-2020, title = {ミーティング映像からの発話およびマイクロ動作識別手法}, author = {曽根田 悠介 and 中村 優吾 and 松田 裕貴 and 荒川 豊 and 安本 慶一}, year = {2020}, date = {2020-03-02}, booktitle = {情報処理学会第65回ユビキタスコンピューティングシステム (UBI) 研究発表会}, keywords = {Activity recognition, group meeting}, pubstate = {published}, tppubtype = {conference} } @article{kanaya-2020, title = {Automatic Route Video Summarization based on Image Analysis for Intuitive Touristic Experience}, author = {Yuki Kanaya and Shogo Kawanaka and Hirohiko Suwa and Yutaka Arakawa and Keiichi Yasumoto}, url = {https://myukk.org/SM2017/article.php?ss=2616 https://myukk.org/SM2017/sm_pdf/SM2125.pdf}, doi = {10.18494/SAM.2020.2616}, year = {2020}, date = {2020-02-20}, journal = {Sensors and Materials}, volume = {32}, number = {2}, pages = {599--610}, keywords = {smart tourism, video summarization}, pubstate = {published}, tppubtype = {article} } @article{torigoe-2020, title = {Strike Activity Detection and Recognition Using Inertial Measurement Unit towards Kendo Skill Improvement Support System}, author = {Yohei Torigoe and Yugo Nakamura and Manato Fujimoto and Yutaka Arakawa and Keiichi Yasumoto}, url = {https://myukk.org/SM2017/article.php?ss=2615 https://myukk.org/SM2017/sm_pdf/SM2128.pdf}, doi = {10.18494/SAM.2020.2615}, year = {2020}, date = {2020-02-20}, journal = {Sensors and Materials}, volume = {32}, number = {2}, pages = {651--673}, keywords = {kendo, senstick, sport sensing}, pubstate = {published}, tppubtype = {article} } @article{moriya-2020, title = {Effective Trilateration-based Indoor Localization Method Utilizing Active Control of Lighting Devices}, author = {Kazuki Moriya and Manato Fujimoto and Yutaka Arakawa and Keiichi Yasumoto}, url = {https://myukk.org/SM2017/article.php?ss=2613 https://myukk.org/SM2017/sm_pdf/SM2127.pdf}, doi = {10.18494/SAM.2020.2613}, year = {2020}, date = {2020-02-20}, journal = {Sensors and Materials}, volume = {32}, number = {2}, pages = {625-650}, keywords = {light, localization, senstick, smart home}, pubstate = {published}, tppubtype = {article} } @conference{mitsukude-semi-2020, title = {冷蔵庫開閉音を用いた開閉扉の識別手法の提案と初期評価}, author = {光来出 優大 and 林 健太 and 石田 繁巳 and 荒川 豊 and 福田 晃}, url = {https://www.ieice.org/ken/paper/20200131d1UV/}, issn = { 0913-5685}, year = {2020}, date = {2020-01-23}, booktitle = {電子情報通信学会SeMI研究会}, volume = {119}, number = {406}, pages = {63-68}, abstract = {近年,センシング技術の発達により様々な場面でセンシングが可能となり,IoT化した製品も次々に開発されユーザが容易に自らの行動に伴う情報を得ることが可能となっている.生活行動認識における従来のユーザにセンサを装着する手法やカメラを用いる手法ではユーザの心的負担が大きいことが問題である.また,専用のデバイスや製品を新たに導入することはコストが高いといった問題もある.本稿では,食習慣のセンシングを目的として,冷蔵庫の扉に設置したタブレット端末に内蔵されたマイクロフォンを用いた,開閉扉の識別手法を提案する.冷蔵庫扉の開閉音には,扉の大きさやパッキン,レールの有無等によって扉ごとの特徴が現れる.このため扉開閉時のデータを解析して,開閉した扉を識別する.タブレット端末に内蔵されたマイクロフォンより得られたデータから抽出した特徴量を用いて機械学習により識別を行う.被験者4人に対して開閉扉の識別を行った結果,平均0.95という精度での識別が可能であることを確認した. }, keywords = {Activity recognition}, pubstate = {published}, tppubtype = {conference} } @conference{billy-semi-2020, title = {Initial Evaluation of a Compressive Measurement-Based Acoustic Vehicle Detection and Identification System}, author = {Billy Dawton and Shigemi Ishida and Yuki Hori and Masato Uchino and Yutaka Arakawa and Akira Fukuda}, url = {https://www.ieice.org/ken/paper/2020013141Ud/}, issn = { 0913-5685}, year = {2020}, date = {2020-01-23}, booktitle = {電子情報通信学会}, volume = {119}, number = {406}, pages = {69-74}, abstract = {As society becomes increasingly interconnected, the need for sophisticated signal processing and data analysis techniques becomes increasingly apparent, particularly in the field of Intelligent Transportation Systems (ITS) where various sensing applications generate data at an exponential rate. In this paper, we put a forward a compressive sensing-based system to extract information from passing vehicle sounds sampled at sub-Nyquist rates for Acoustic Vehicle Detection and Identification (AVDI) applications. The obtained compressive measurements are used to detect and identify passing vehicles. Initial evaluation is performed using data obtained from roads on a university campus and with a back-end ADC sample rate of 3kHz. }, keywords = {Acoustic sensing}, pubstate = {published}, tppubtype = {conference} } @article{recurshare, title = {Effective Application Distribution System for Internet-less Communication during Disasters}, author = {Manato Fujimoto and Seigi Matsumoto and Edgar Marko Trono and Yutaka Arakawa and Keiichi Yasumoto }, url = {https://myukk.org/SM2017/sm_pdf/SM2088.pdf}, doi = {10.18494/SAM.2020.2614}, year = {2020}, date = {2020-01-09}, journal = {Sensors and Materials}, volume = {32}, number = {1}, pages = {79--95}, keywords = {mobile application}, pubstate = {published}, tppubtype = {article} } @article{ishida2010loc, title = {Wireless Local Area Network Signal Strength Measurement for Sensor Localization without New Anchors}, author = {Shigemi Ishida and Yutaka Arakawa and Shigeaki Tagashira and Akira Fukuda}, url = {https://myukk.org/SM2017/sm_pdf/SM2089.pdf}, doi = {10.18494/SAM.2020.2592}, year = {2020}, date = {2020-01-09}, journal = {Sensors and Materials}, volume = {32}, number = {1}, pages = {97--114}, keywords = {localization, WiFi}, pubstate = {published}, tppubtype = {article} } @conference{weko_202591_1, title = {オンラインアンケートの回答信頼性検証に向けた回答時画面操作ログ取得システム}, author = {後上 正樹 and 松田 裕貴 and 荒川 豊 and 安本 慶一}, url = {http://id.nii.ac.jp/1001/00202497/}, isbn = {2188-8760}, year = {2020}, date = {2020-01-08}, booktitle = {情報処理学会ヒューマンコンピュータインタラクション(HCI)研究会}, volume = {2020-HCI-186}, number = {35}, pages = {1 -- 6}, institution = {奈良先端科学技術大学院大学, 奈良先端科学技術大学院大学, 九州大学, 奈良先端科学技術大学院大学}, keywords = {quality of life, Smart Office, stress sensing}, pubstate = {published}, tppubtype = {conference} } @inproceedings{icce2019_soneda, title = {Multimodal Recording System for Collecting Facial and Postural Data in a Group Meeting}, author = {Yusuke Soneda and Yuki Matsuda and Yutaka Arakawa and Keiichi Yasumoto}, year = {2019}, date = {2019-12-02}, booktitle = {The 27th International Conference on Computers in Education (ICCE 2019)}, number = {153}, keywords = {facial expression, group meeting}, pubstate = {published}, tppubtype = {inproceedings} } @conference{weko_200619_1, title = {オフィスワーカの睡眠状況と労働衛生指標の関係性分析}, author = {福田 修之 and 谷 優里 and 松田 裕貴 and 荒川 豊 and 安本 慶一}, url = {http://arakawa-lab.com/wp-content/uploads/2019/12/fukudambl2019.pdf}, year = {2019}, date = {2019-11-20}, booktitle = {情報処理学会第93回MBL研究会}, volume = {2019-MBL-93}, number = {22}, pages = {1--7}, institution = {奈良先端科学技術大学院大学, 奈良先端科学技術大学院大学, 奈良先端科学技術大学院大学, 九州大学/JSTさきがけ, 奈良先端科学技術大学院大学}, keywords = {DAMS, quality of life, sleep, stress sensing}, pubstate = {published}, tppubtype = {conference} } @conference{2019-jobstress, title = {働き方の近未来:働き方の多様化とポジティブメンタルヘルス}, author = {島津 明人 and 稲水 伸行 and 花里 真道 and 荒川 豊 and 石井 香織}, url = {http://jajsr.umin.ac.jp/bnumber.html http://arakawa-lab.com/wp-content/uploads/2019/11/stress-scaled.jpeg }, year = {2019}, date = {2019-11-19}, booktitle = {産業ストレス研究(Job Stress Res.)}, volume = {26}, number = {4}, pages = {369--371}, publisher = {日本産業ストレス学会}, keywords = {stress sensing, work engagement}, pubstate = {published}, tppubtype = {conference} } @inproceedings{otsubo-mobihealth, title = {Walking Pace Induction Application based on the BPM and RhythmValue of Music}, author = {Atsushi Otsubo and Hirohiko Suwa and Yutaka Arakawa and Keiichi Yasumoto}, url = {http://arakawa-lab.com/wp-content/uploads/2020/01/Paper.pdf}, year = {2019}, date = {2019-11-14}, booktitle = {MobiHealth 2019 - 8th EAI International Conference on Wireless Mobile Communication and Healthcare}, keywords = {Activity recognition, behavior change, Fitness support}, pubstate = {published}, tppubtype = {inproceedings} } @conference{weko_199926_1d, title = {多車線道路に対応した2段階音響車両検出システムの初期的評価}, author = {内野 雅人 and 石田 繁巳 and 田頭 茂明 and 荒川 豊 and 福田 晃}, url = {http://arakawa-lab.com/wp-content/uploads/2019/12/IPSJ-DPSWS2019012.pdf}, year = {2019}, date = {2019-11-01}, booktitle = {第27回マルチメディア通信と分散処理ワークショップ論文集}, pages = {84--90}, keywords = {Acoustic sensing, its}, pubstate = {published}, tppubtype = {conference} } @conference{weko_199935_1d, title = {音楽のBPMとRhythmValueに基づく歩行ペース誘導アプリケーションの開発と評価}, author = {大坪 敦 and 諏訪 博彦 and 荒川 豊 and 安本 慶一}, url = {http://arakawa-lab.com/wp-content/uploads/2019/12/IPSJ-DPSWS2019021.pdf}, year = {2019}, date = {2019-11-01}, booktitle = {第27回マルチメディア通信と分散処理ワークショップ論文集}, pages = {149--155}, keywords = {Activity recognition, behavior change support system, sport sensing}, pubstate = {published}, tppubtype = {conference} } @conference{weko_199936_1d, title = {位置に応じたビュー切り替え機能と情報補完機能を有するモバイルアプリの実証実験と評価}, author = {和田 遥香 and 張 志華 and 藤本 まなと and 荒川 豊 and 安本 慶一}, url = {http://arakawa-lab.com/wp-content/uploads/2019/12/IPSJ-DPSWS2019022.pdf}, year = {2019}, date = {2019-11-01}, booktitle = {第27回マルチメディア通信と分散処理ワークショップ論文集}, pages = {156--163}, keywords = {day care, mobile application}, pubstate = {published}, tppubtype = {conference} } @conference{weko_199937_1d, title = {IMUを用いた剣道の素振り稽古における打突動作区間の検出手法}, author = {鳥越 庸平 and 中村 優吾 and 藤本 まなと and 荒川 豊 and 安本 慶一}, url = {http://arakawa-lab.com/wp-content/uploads/2019/12/IPSJ-DPSWS2019023.pdf}, year = {2019}, date = {2019-11-01}, booktitle = {第27回マルチメディア通信と分散処理ワークショップ論文集}, pages = {164--171}, keywords = {Activity recognition, sport sensing}, pubstate = {published}, tppubtype = {conference} } @inproceedings{takahashi-sensors-2019, title = {DNN-based Outdoor NLOS Human Detection Using IEEE 802.11ac WLAN Signal}, author = {Ryo Takahashi and Shigemi Ishida and Akira Fukuda and Tomoki Murakami and Shinya Otsuki}, year = {2019}, date = {2019-10-30}, booktitle = {IEEE SENSORS}, number = {C2P-P-2}, keywords = {Human Detection, WiFi}, pubstate = {published}, tppubtype = {inproceedings} } @inproceedings{sugata-sensors-2019, title = {Battery-less Place Recognition System using Multiple Energy Harvesting Elements}, author = {Yuito Sugata and Yutaka Arakawa and Keiichi Yasumoto}, url = {http://arakawa-lab.com/wp-content/uploads/2019/12/IEEE-SENSORS.pdf http://arakawa-lab.com/wp-content/uploads/2019/12/iEEE-SENSORS-POSTER.pdf https://ieeexplore.ieee.org/document/8956580}, year = {2019}, date = {2019-10-29}, booktitle = {IEEE SENSORS}, number = {B2P-Q-4}, keywords = {Energy Harvesting, Life log, Smart Office}, pubstate = {published}, tppubtype = {inproceedings} } @article{s19204600, title = {WaistonBelt X:A Belt-Type Wearable Device with Sensing and Intervention Toward Health Behavior Change}, author = {Yugo Nakamura and Yuki Matsuda and Yutaka Arakawa and Keiichi Yasumoto}, editor = {MDPI}, url = {https://www.mdpi.com/1424-8220/19/20/4600}, doi = {10.3390/s19204600}, issn = {1424-8220}, year = {2019}, date = {2019-10-22}, journal = {Sensors}, volume = {19}, number = {20}, abstract = {Changing behavior related to improper lifestyle habits has attracted attention as a solution to prevent lifestyle diseases, such as diabetes, heart disease, arteriosclerosis, and stroke. To drive health behavior changes, wearable devices are needed, and they must not only provide accurate sensing and visualization functions but also effective intervention functions. In this paper, we propose a health support system, WaistonBelt X, that consists of a belt-type wearable device with sensing and intervention functions and a smartphone application. WaistonBelt X can automatically measure a waistline with a magnetometer that detects the movements of a blade installed in the buckle, and monitor the basic activities of daily living with inertial sensors. Furthermore, WaistonBelt X intervenes with the user to correct lifestyle habits by using a built-in vibrator. Through evaluation experiments, we confirmed that our proposed device achieves measurement of the circumference on the belt position (mean absolute error of 0.93 cm) and basic activity recognition (F1 score of 0.95) with high accuracy. In addition, we confirmed that the intervention via belt vibration effectively improves the sitting posture of the user.}, keywords = {Activity recognition, IoT, senstick, wearable computing}, pubstate = {published}, tppubtype = {article} } @article{weko_199735_1, title = {ワンウェイカーシェアリング実現に向けた潜在的利用者による車両偏在問題の解決}, author = {千住 琴音 and 諏訪 博彦 and 水本 旭洋 and 荒川 豊 and 安本 慶一}, url = {https://ipsj.ixsq.nii.ac.jp/ej/?action=pages_view_main\&active_action=repository_view_main_item_detail\&item_id=199735\&item_no=1\&page_id=13\&block_id=8 http://arakawa-lab.com/wp-content/uploads/2020/01/IPSJ-JNL6010022-1.pdf}, year = {2019}, date = {2019-10-15}, journal = {情報処理学会論文誌}, volume = {60}, number = {10}, pages = {1818--1828}, keywords = {car sharing, its}, pubstate = {published}, tppubtype = {article} } @conference{ICLI2019, title = {[Keynote] Utilizing IT Technologies in Future Education Environment}, author = {Yutaka Arakawa}, url = {http://arakawa-lab.com/wp-content/uploads/2019/12/arakawa.pdf}, year = {2019}, date = {2019-10-09}, urldate = {2019-10-09}, booktitle = {3rd International Conference on Learning Innovation (ICLI) }, keywords = {learning analytics}, pubstate = {published}, tppubtype = {conference} } @conference{oriharaMika, title = {Wi-Fi信号を用いた自動車・自転車・歩行者の検出手法の検討}, author = {折原 凌 and 石田 繁巳 and 荒川 豊 and 田頭 茂明 and 福田 晃}, url = {https://www.ieice.org/ken/paper/20191004A1qL/}, issn = {2432-6380}, year = {2019}, date = {2019-10-04}, booktitle = {革新的無線通信技術に関する横断型研究会(MIKA2019)}, abstract = {自動車や自転車,歩行者の検出は事故防止や渋滞緩和に利用可能である.既存の手法にはカメラや LiDAR, 埋設型のコイルなどによる検出がある.しかし,これらの手法は設置や管理コストが高く,またカメラ以外では自動 車や歩行者など複数種類を区別して検出することが難しい.そこで,既設の Wi-Fi 機器を用いた見通し環境での検 出手法を提案する.送信機から発された信号は自動車や歩行者などの障害物で反射・回折するため,この信号の伝搬 チャネル情報(CSI: Channel State Information)の変化を用いて自動車や歩行者を検出する.本発表では,現在行っ ている手法・結果などを説明し,実現可能性について報告する. }, keywords = {its, WiFi}, pubstate = {published}, tppubtype = {conference} } @workshop{shonan2019, title = {[Keynote] Potential of Collaboration Between Ubiquitous Computing and Spoken Dialog System}, author = {Yutaka Arakawa}, editor = {Shonan Meeting No.163}, year = {2019}, date = {2019-10-02}, booktitle = {Shonan Meeting}, number = {163}, keywords = {spoken dialog system, wearable computing}, pubstate = {published}, tppubtype = {workshop} } @conference{gogami-kansai-2019, title = {オンラインアンケートの回答信頼性に影響する指標の調査検討- アンケート形式とスマートフォン操作状況の観点から \textendash}, author = {後上 正樹 and 谷 優里 and 松田 裕貴 and 荒川 豊 and 安本 慶一}, url = {http://arakawa-lab.com/wp-content/uploads/2019/12/D-09.pdf}, year = {2019}, date = {2019-09-23}, booktitle = {情報処理学会関西支部大会}, keywords = {Smart Office, stress sensing}, pubstate = {published}, tppubtype = {conference} } @article{YutakaArakawa2019, title = {[Invited Paper] Sensing and Changing Human Behavior for Workplace Wellness}, author = {Yutaka Arakawa}, url = {https://www.jstage.jst.go.jp/article/ipsjjip/27/0/27_614/_article/-char/en}, doi = {10.2197/ipsjjip.27.614}, year = {2019}, date = {2019-09-15}, journal = {Journal of Information Processing}, volume = {27}, pages = {614-623}, abstract = {Recently, companies have begun to care more about the well-being of their employees. With the spread of sensors, the Internet of Things, and artificial intelligence, the movement to build a better working environment by utilizing these technologies has been spreading. Especially, research on behavior that can change lifestyle habits is becoming popular. In this paper, we summarize workplace behavior research and projects for sensing and changing human behavior in a workplace and aim to improve the productivity and wellness of employees. Also, we introduce concepts for future workplaces and some of our related achievements. For physical state sensing, we have developed a continuous posture-sensing chair, which will soon be available commercially. For internal state sensing, we propose a method for estimating quality of life with wearable sensors. Our system have already achieved to estimate QoL (Quality of Life) around 90% with only 9 questions. In addition, we propose interactive digital signage to provide habit-changing reminders. Through one month experiment, we confirmed that our system can be feasible in daily life.}, keywords = {behavior change support system, Smart Office, wearable computing, work engagement}, pubstate = {published}, tppubtype = {article} } @inproceedings{soneda-hasca-2019, title = {M3B Corpus: Multi-Modal Meeting Behavior Corpus for Group Meeting Assessment}, author = {Yusuke Soneda and Yuki Matsuda and Yutaka Arakawa and Keiichi Yasumoto}, url = {http://arakawa-lab.com/wp-content/uploads/2020/01/3341162.3345588.pdf}, doi = {10.1145/3341162.3345588}, year = {2019}, date = {2019-09-08}, booktitle = {The 7th International Workshop on Human Activity Sensing Corpus and Applications (HASCA2019)}, pages = {825--834}, publisher = {ACM}, keywords = {Activity recognition, facial expression, group meeting}, pubstate = {published}, tppubtype = {inproceedings} } @inproceedings{kido-hcii2019, title = {A Cooking Support System for Seasoning with Smart Cruet}, author = {Yuta Kido and Teruhiro Mizumoto and Hirohiko Suwa and Yutaka Arakawa and Keiichi Yasumoto}, year = {2019}, date = {2019-07-29}, booktitle = {21ST International Conference On Huma-Computer Interaction (HCII2019)}, keywords = {Activity recognition, smart home}, pubstate = {published}, tppubtype = {inproceedings} } @conference{hpb2019-walkus, title = {Walkus: フレキシブルなソーシャルサポート機能とライフログ機能を有するグループウォーキング支援プラットフォーム}, author = {荒川 豊 and 河中 祥吾 and 澤田 典宏 and 四本松 和悠}, editor = {電子情報通信学会}, url = {http://arakawa-lab.com/wp-content/uploads/2019/12/draft3.pdf}, issn = {2432-6380}, year = {2019}, date = {2019-07-24}, booktitle = {ヒューマンプローブ研究会}, keywords = {Activity recognition, behavior change support system, human probe}, pubstate = {published}, tppubtype = {conference} } @article{doi:10.1111/coin.12234, title = {Investigating effects of interactive signage\textendashbased stimulation for promoting behavior change}, author = {Zhihua Zhang and Yuta Takahashi and Manato Fujimoto and Yutaka Arakawa and Keiichi Yasumoto}, url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/coin.12234}, doi = {10.1111/coin.12234}, year = {2019}, date = {2019-07-24}, journal = {Computational Intelligence}, volume = {0}, number = {0}, abstract = {Abstract In recent years, many types of research and developments on behavior change have been conducted. The purpose of behavior change is to improve people's lifestyle pattern or to maintain the improvement for a long time with the aim to achieve a goal such as promoting health condition improvement. To achieve the foundation of a new lifestyle, it is necessary to recognize the daily life patterns of users and give triggers for behavior change to users in their daily life. To realize this, in our research, we develop an interactive signage which is able to identify and actively talk to the passing user and try to induce behavior change by sending visual and auditory stimulation. Then, we record users' reactions and upload them to the server. In this paper, we report the investigation result on users' reactions and feelings to the developed interactive signage. As a survey experiment, we set up four interactive signs on a floor of our university and asked 15 participants to carry a name tag with a Bluetooth Low Energy beacon during their daily life. Five kinds of tasks based on dialogue scenarios are posted to the approaching participants. Participants can respond to these tasks through a touchscreen. The period of the experiment was three weeks. To get the data in an ideal environment, during the first week, we asked all the participants to respond to the utterance from the interactive signage whenever they hear the voice message. During the next two weeks, participants were not asked to respond to the task definitely to get the data in the real environment. The result of the experiment showed that our proposed interactive signage could induce behavior change effectively. Based on the result of experiment, we updated our interactive signage system by adding response time (the time passed from showing contents until user respond), record function, and voice feedback function. Furthermore, to collect the data of response time that is considered as a part of users' reactions, we conducted an additional experiment with the same participants in previous experiment (except for one missing participant) for one week after updating the system. In the additional experiment, the participants were not asked to respond to the utterance definitely. As a result, it is shown that the behavior change by the proposed signage is still effectively induced. We also analyzed the relationship between the day passed and the response rate of each task type. The result shows that the number of ignorance of personal task and check task does not rise even as the time passes.}, keywords = {beacon, behavior change, interactive signage}, pubstate = {published}, tppubtype = {article} } @workshop{u2a-2019, title = {エナジーハーベスト屋内場所認識システムの開発}, author = {荒川 豊}, year = {2019}, date = {2019-07-23}, booktitle = {第123回研究会センサーネットワーク研究会}, keywords = {Activity recognition, Energy Harvesting, wearable computing}, pubstate = {published}, tppubtype = {workshop} } @conference{sugata-dicomo2019, title = {複数種類の太陽電池を用いたバッテリーレス場所推定システム}, author = {菅田 唯仁 and 荒川 豊 and 安本 慶一}, url = {http://arakawa-lab.com/wp-content/uploads/2019/12/p950_5A-3.pdf}, year = {2019}, date = {2019-07-01}, booktitle = {マルチメディア,分散,協調とモバイル(DICOMO2019)シンポジウム}, pages = {950 - 956}, publisher = {情報処理学会}, keywords = {Energy Harvesting, Life log, Place Recognition}, pubstate = {published}, tppubtype = {conference} } @conference{tani-dicomo2019, title = {労働衛生に関するアンケートとモバイルセンサデータの統合的・継続的な収集}, author = {谷 優里 and 松田 裕貴 and 荒川 豊 and 井上 創造}, url = {http://arakawa-lab.com/wp-content/uploads/2019/12/p1027_5C-5.pdf}, year = {2019}, date = {2019-07-01}, booktitle = {マルチメディア,分散,協調とモバイル(DICOMO2019)シンポジウム}, pages = {1027 - 1034}, publisher = {情報処理学会}, keywords = {mobile application, quality of life, work engagement}, pubstate = {published}, tppubtype = {conference} } @conference{zhang-dicomo2019, title = {行動変容タスクを考慮したサービス間連携フレームワークの設計と実装}, author = {張 志華 and 松田 裕貴 and 藤本 まなと and 荒川 豊 and 安本 慶一}, url = {http://arakawa-lab.com/wp-content/uploads/2019/12/p1708_8E-4.pdf}, year = {2019}, date = {2019-07-01}, booktitle = {マルチメディア,分散,協調とモバイル(DICOMO2019)シンポジウム}, pages = {1708 - 1715}, publisher = {情報処理学会}, keywords = {Activity recognition, behavior change support system, IoT}, pubstate = {published}, tppubtype = {conference} } @conference{nakamura-dicomo2019, title = {ウェアラブルセンサ装着位置/向きの違いにロバストな行動認識システムの実現に向けたデータ変換手法の検討}, author = {中村 優吾 and 荒川 豊 and 安本 慶一 }, url = {http://arakawa-lab.com/wp-content/uploads/2019/12/p135_1E-4.pdf}, year = {2019}, date = {2019-07-01}, booktitle = {マルチメディア,分散,協調とモバイル(DICOMO2019)シンポジウム}, pages = {135 - 146}, publisher = {情報処理学会}, keywords = {Activity recognition, IoT, Machine Learning}, pubstate = {published}, tppubtype = {conference} } @conference{tsuruyama-dicomo2019, title = {飲食店向け不動産物件の賃料推定手法の精度向上に向けた検討}, author = {鶴山 優季子 and 諏訪 博彦 and 小川 祐樹 and 荒川 豊 and 安本 慶一}, year = {2019}, date = {2019-07-01}, booktitle = {マルチメディア,分散,協調とモバイル(DICOMO2019)シンポジウム}, pages = {394 - 399}, publisher = {情報処理学会}, keywords = {real estate}, pubstate = {published}, tppubtype = {conference} } @conference{matsuda-dicomo2019, title = {観光中の仕草に基づく感情・満足度の推定における観光客属性の影響分析}, author = {松田 裕貴 and Dmitrii Fedotov and 荒川 豊 and 諏訪 博彦 and Wolfgang Minker and 安本 慶一 }, url = {http://arakawa-lab.com/wp-content/uploads/2019/12/p785_4C-4.pdf}, year = {2019}, date = {2019-07-01}, booktitle = {マルチメディア,分散,協調とモバイル(DICOMO2019)シンポジウム}, pages = {785 - 791}, publisher = {情報処理学会}, keywords = {Activity recognition, emotion recognition, IoT, sightseeing, wearable computing}, pubstate = {published}, tppubtype = {conference} } @conference{ishida-dicomo2019, title = {路側設置ステレオマイクを用いた車両種別推定手法の初期的評価}, author = {石田 繁巳 and 内野 雅人 and 小池 大地 and 田頭 茂明 and 福田 晃}, year = {2019}, date = {2019-07-01}, booktitle = {マルチメディア,分散,協調とモバイル(DICOMO2019)シンポジウム}, pages = {1682 - 1687}, publisher = {情報処理学会}, keywords = {Acoustic sensing, its, roadside sensing}, pubstate = {published}, tppubtype = {conference} } @conference{hayashi-dicomo2019, title = {着座時の臀部圧力分布を用いた人物同定手法の評価}, author = {林 健太 and 石田 繁巳 and 田頭 茂明 and 福田 晃}, year = {2019}, date = {2019-07-01}, booktitle = {マルチメディア,分散,協調とモバイル(DICOMO2019)シンポジウム}, pages = {1021 - 1026}, publisher = {情報処理学会}, keywords = {Identification, Smart Office}, pubstate = {published}, tppubtype = {conference} } @article{kashimoto2019, title = {Room measurement tool combining ultrasonic and inertial sensors in smartphones}, author = {Yukitoshi, Kashimoto and Yutaka, Arakawa and Keiichi, Yasumoto}, editor = {Inderscience Publishers (IEL)}, doi = {https://doi.org/10.1504/IJAHUC.2019.100779}, year = {2019}, date = {2019-06-30}, journal = {International Journal of Ad Hoc and Ubiquitous Computing}, volume = {31}, number = {3}, pages = {189--199}, abstract = {Obtaining accurate floor plans of buildings is critical for optimizing indoor geographic information system (GIS) applications. In this paper, we present a room measurement tool that utilizes a smartphone equipped with an ultrasonic sensor. To take measurements, users complete a lap along the walls of all of the rooms. Then the tool accurately estimates the shape and size of them by tracking the walking paths of users and measuring the distance from the path to the walls with ultrasonic sensors. To track walking paths, we utilise inertial sensors embedded in the smartphone to estimate walking steps and turns, and the ultrasonic sensors to estimate the stride length when walking toward the wall. To account for such adjacent objects as bookshelves that decrease the accuracy of room size estimation, we used a mixed Gaussian filter. Our experimental results show that our tool considerably improved the estimation accuracy of the room shape and size.}, keywords = {Acoustic sensing, indoor sensing}, pubstate = {published}, tppubtype = {article} } @article{Akpa2019, title = {A Smart Glove to Track Fitness Exercises by Reading Hand Palm}, author = {Elder A. H. Akpa and Hirohiko Suwa and Yutaka Arakawa and Keiichi Yasumoto and Masashi Fujiwara}, url = {https://www.hindawi.com/journals/js/2019/9320145/}, doi = {10.1155/2019/9320145}, year = {2019}, date = {2019-05-21}, journal = { Journal of Sensors}, abstract = {Medical studies have intensively demonstrated that sports activity can enhance both the mental and physical health of practitioners. In recent years, fitness activity became the most common way to motivate and engage people in sports activity. Recently there have been multiple attempts to elaborate on the “ideal” IoT-based solution to track and assess these fitness activities. Most fitness activities (except aerobic activities like running) involve one or multiple interactions between the athlete’s hand palms and body or between the hand palms and the workout materials. In this work, we present our idea to exploit these bio-mechanical interactions of the hand palms to track fitness activities via a smart-glove. Our smart-glove based system integrates force sensitive resistor (FSR) sensors into wearable fitness gloves to identify and count fitness activity, by analyzing the time series of the pressure distribution in the hand palms observed during fitness sessions. To assess the performance of our proposed system, we conducted an experimental study with 10 participants over 10 common fitness activities. For the user-dependent activity recognition case, the experimental results showed 88.90% of F-score for overall activity recognition. The result of leave-one-participant-out cross-validation showed F-score ranging from 58.30% to 100%, with an average of 82.00%. For the exercise repetition count, the system achieved an average counting error of 9.85%, with a standard deviation of 1.38.}, keywords = {Activity recognition, Machine Learning, Pressure Sensor}, pubstate = {published}, tppubtype = {article} } @conference{tani-mbl-2019, title = {オフィスワーカーの心身と環境センシングのためのアプリケーションの開発と評価}, author = {谷 優里 and 松田 裕貴 and 河中 祥吾 and 大坪 敦 and 平野 陽大 and 荒川 豊 and 安本 慶一}, url = {http://arakawa-lab.com/wp-content/uploads/2019/05/IPSJ-MBL19091034.pdf http://id.nii.ac.jp/1001/00195614/}, year = {2019}, date = {2019-05-16}, booktitle = {情報処理学会第91回MBL研究会}, volume = {2019-MBL-91}, number = {34}, pages = {1--7}, keywords = {mobile application, Smart Office, stress sensing}, pubstate = {published}, tppubtype = {conference} } @inproceedings{wada-ismict-2019, title = {QuickCareRecord: Efficient Care Recording Application with Location-based Automatic View Transition and Information Complement}, author = {Haruka Wada and Zhihua Zhang and Manato Fujimoto and Yutaka Arakawa and Keiichi Yaumoto}, url = {http://arakawa-lab.com/wp-content/uploads/2019/05/1570514233.pdf}, doi = {10.1109/ISMICT.2019.8743900}, year = {2019}, date = {2019-05-09}, booktitle = {13th International Symposium on Medical Information and Communication Technology (ISMICT2019)}, keywords = {Activity recognition, mobile application, wearable computing}, pubstate = {published}, tppubtype = {inproceedings} } @inproceedings{umetsu-percom-2019, title = {EHAAS: Energy Harvesters As A Sensor for Place Recognition on Wearables}, author = {Yoshinori, Umetsu and Yugo, Nakamura and Yutaka, Arakawa and Manato, Fujimoto and Hirohiko, Suwa}, url = {https://arxiv.org/abs/1903.08592}, year = {2019}, date = {2019-03-10}, booktitle = {IEEE International Conference on Pervasive Computing and Communications (PerCom 2019)}, keywords = {Activity recognition, Energy Harvesting}, pubstate = {published}, tppubtype = {inproceedings} } @conference{tokuda2019-mbl, title = {辞書検索履歴の自動収集に基づく英単語マイクロラーニング支援手法}, author = {徳田 博行 and 高橋 雄太 and 松田 裕貴 and 荒川 豊 and 安本 慶一}, url = {http://arakawa-lab.com/wp-content/uploads/2019/05/IPSJ-MBL19090044.pdf}, year = {2019}, date = {2019-03-04}, booktitle = {情報処理学会モバイルコンピューティングとパーベイシブシステム(MBL)}, journal = {研究報告モバイルコンピューティングとパーベイシブシステム (MBL)}, volume = {2019}, number = {44}, pages = {1--8}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @conference{weko_194589_1, title = {剣道上達支援のためのIMUを用いた打突動作認識}, author = {鳥越 庸平 and 高田 将志 and 中村 優吾 and 藤本 まなと and 荒川 豊 and 安本 慶一 }, url = {http://arakawa-lab.com/wp-content/uploads/2019/03/torigoe-ubi.pdf}, year = {2019}, date = {2019-03-04}, booktitle = {情報処理学会ユビキタスコンピューティングシステム(UBI)研究会}, number = {37}, pages = {1 - 7}, keywords = {Activity recognition}, pubstate = {published}, tppubtype = {conference} } @conference{鶴山優季子2019doc2vec, title = {Doc2Vec を用いた飲食店向け不動産店舗賃料推定モデルの構築}, author = {鶴山優季子 and 諏訪博彦 and 小川祐樹 and 荒川豊 and 安本慶一 and others}, year = {2019}, date = {2019-03-01}, booktitle = {社会システムと情報技術研究ウィーク(WSSIT19)}, journal = {SIG-SAI}, volume = {34}, number = {3}, pages = {1--6}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @conference{佐々木渉2019生活の質の向上を目指した宅内行動, title = {生活の質の向上を目指した宅内行動・生体情報収集システムと QoL アウェア家電制御の検討}, author = {佐々木渉 and 大西晃正 and 三崎慎也 and 諏訪博彦 and 藤本まなと and 水本旭洋 and 荒川豊 and 木村亜紀 and 三木智子 and 安本慶一 and others}, year = {2019}, date = {2019-03-01}, booktitle = {社会システムと情報技術研究ウィーク(WSSIT19)}, journal = {SIG-SAI}, volume = {34}, number = {1}, pages = {1--8}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @article{arakawa-POI-2019, title = {POI情報の補完によるマイマップ検索システム}, author = {荒川 豊 and 金平 卓也 and 安本 慶一}, url = {https://ipsj.ixsq.nii.ac.jp/ej/index.php?active_action=repository_view_main_item_detail\&page_id=13\&block_id=8\&item_id=194378\&item_no=1 http://arakawa-lab.com/wp-content/uploads/2019/03/kanehira.pdf}, issn = {1882-7764}, year = {2019}, date = {2019-02-15}, journal = {情報処理学会論文誌}, volume = {60}, number = {2}, pages = {538 - 548}, abstract = {Google MapsやOpen Street Map(OSM)では,1つの地図に複数の地理情報(POI:Point of Interest)を集めて独自の地図を作成可能にする機能が提供されている.この機能は,マイマップ(Google Maps)あるいはuMap(OSM)と呼ばれており,ニッチな情報を集めた地図を含めて,これまでに多種多様な地図が作成されている.しかしながら,これらの地図は,含まれる情報が不十分であることが多く,キーワードを用いて,目的に合致するマイマップを検索することが困難である.本論文では,マイマップ検索の利便性を向上させるため,これまでに存在しなかったマイマップの検索法として,含まれるPOIのカテゴリ比率を特徴とした検索システムを提案する.また,提案システムを実現するにあたり,既存マイマップの問題である情報不足を補うため,1)不完全なPOI情報からPOI情報データベース内のPOIを同定する手法と2)POI名称から属するカテゴリを推定する手法,から構成されるPOI情報補完手法を提案する.インターネット上に公開されているマイマップ5,526件を収集し,その中に含まれるPOI 46,996件について,POI情報の同定精度やカテゴリの推定精度を評価した結果,58.82%を同定可能かつ70.3%のカテゴリを正しく推定できることを明らかにした.さらに,プロトタイプシステムを実装し,10名の被験者を用いて検索の利便性について評価したところ,含まれるPOIカテゴリ比率に基づく検索により,所望するマイマップに近いマップを一定の精度で検索可能であることを確認した. }, note = {A System for Searching MyMaps by Complementing Additional Information of POIs}, keywords = {GIS (Geographical Information System), Information Retrieval, POI(Point of Interest)}, pubstate = {published}, tppubtype = {article} } @article{umeki2019, title = {混雑度の偏りを考慮した避難所決定手法}, author = {梅木 寿人 and 中村 優吾 and 藤本 まなと and 水本 旭洋 and 諏訪 博彦 and 荒川 豊 and 安本 慶一}, url = {https://ipsj.ixsq.nii.ac.jp/ej/?action=pages_view_main\&active_action=repository_view_main_item_detail\&item_id=194384\&item_no=1\&page_id=13\&block_id=8 http://arakawa-lab.com/wp-content/uploads/2019/03/umeki.pdf}, issn = {1882-7764 }, year = {2019}, date = {2019-02-15}, journal = {情報処理学会論文誌}, volume = {60}, number = {2}, pages = {608 - 616}, abstract = {地震などの突発的災害発生時において,避難所への速やかな避難は重要な防災・減災対策の1つである.現状,災害時の避難誘導は,現在地から最寄りの避難所へと誘導するものが一般的である.しかしながら,災害発生時に,大多数の人々が特定エリアに偏って集中するような状況下においては,単に最寄りの避難所に誘導するだけでは避難所の収容数の超過を招き,別の避難所への移動を余儀なくされる.結果として,被災者は空きのある避難所へたどり着くまでたらい回しにされ,避難が大幅に遅れてしまう問題が生じる.本論文では,この問題を解決するために,多くの人々が活動している地域を対象として,被災者全体の避難時間を削減することを目的とする避難所決定手法を提案する.具体的には,被災時における被災者の位置情報と各避難所の収容可能数に基づいて,被災者全体の避難時間が短くなるように避難所を決定する.提案手法の有効性を評価するために,京都の祇園祭を想定したシミュレーション環境を構築し,一般的な避難所決定手法である最短経路選択およびランダム選択を適用した場合と提案手法を適用した場合の避難時間を比較した.その結果,提案手法を用いた場合に,最短経路選択と比較して平均避難時間を35.9%削減できることを明らかにした.また,提案手法に従う人が全体の20%であっても,平均避難時間を8.1%削減できることを確認した.この結果から,たとえ一部の人であっても,提案手法に従って避難することによって,全体の避難時間を短縮でき,防災・減災に寄与できることが分かった}, note = {Evacuation Center Determination Method Considering Bias of Congestion Degree on Areas}, keywords = {Congestion detection, Evacuation support}, pubstate = {published}, tppubtype = {article} } @inproceedings{kanaya2019automatic, title = {Automatic Tour Video Summarization Focusing on Scene Change for Advance Touristic Experience}, author = {Yuki Kanaya and Shogo Kawanaka and Hirohiko Suwa and Yutaka Arakawa and Keiichi Yasumoto}, year = {2019}, date = {2019-01-01}, booktitle = {2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)}, pages = {391--392}, organization = {IEEE}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } @inproceedings{zhang2019design, title = {Design of Behavior Change Environment with Interactive Signage Having Active Talk Function}, author = {Zhihua Zhang and Yutaka Arakawa and Harri Oinas-Kukkonen}, year = {2019}, date = {2019-01-01}, booktitle = {1st International Workshop on Pervasive Persuasive Systems for Behavior Change (PerPersuasion 2019) in conjunction with IEEE PerCom 2019}, pages = {796--801}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } @inproceedings{yoneoka2019detecting, title = {Detecting Surrounding Users by Reverberation Analysis with a Smart Speaker and Microphone Array}, author = {Naoki Yoneoka and Yutaka Arakawa and Keiichi Yasumoto}, year = {2019}, date = {2019-01-01}, booktitle = {International Workshop on Pervasive Flow of Things in conjunction with IEEE PerCom 2019}, pages = {523--528}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } @inproceedings{taki2019design, title = {Design and Implementation of Notification Information Survey System and Survey Results Toward Use-side Adaptive Notification Management}, author = {Kenta Taki and Yuki Matsuda and Yutaka Arakawa and Keiichi Yasumoto}, year = {2019}, date = {2019-01-01}, booktitle = {1st International Workshop on Pervasive Persuasive Systems for Behavior Change (PerPersuasion 2019) in conjunction with IEEE PerCom 2019}, pages = {808--813}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } @inproceedings{sasaki2019predicting, title = {Predicting Occurrence Time of Daily Living Activities Through Time Series Analysis of Smart Home Data}, author = {Wataru Sasaki and Masashi Fujiwara and Manato Fujimoto and Hirohiko Suwa and Yutaka Arakawa and Keiichi Yasumoto}, year = {2019}, date = {2019-01-01}, booktitle = {Third International Workshop on Pervasive Smart Living Spaces (PerLS’19)}, pages = {233--238}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } @inproceedings{takata2019strikes, title = {Strikes-Thrusts Activity Recognition Using Wrist Sensor Towards Pervasive Kendo Support System}, author = {Masashi Takata and Yugo Nakamura and Yohei Torigoe and Manato Fujimoto and Yutaka Arakawa and Keiichi Yasumoto}, year = {2019}, date = {2019-01-01}, booktitle = {Workshop on Sensing Systems and Applications Using Wrist Smart Devices (WristSense2019) in conjunction with IEEE PerCom 2019}, pages = {243--248}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } @inproceedings{otsubo2019beatsync, title = {BeatSync: Walking Pace Control through Beat Synchronization between Music and Walking}, author = {Atsushi Otsubo and Hirohiko Suwa and Yutaka Arakawa and Keiichi Yasumoto}, year = {2019}, date = {2019-01-01}, booktitle = {IEEE International Conference on Pervasive Computing and Communications (PerCom2019), Demo}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } @inproceedings{fedotov2019towards, title = {Towards Real-Time Contextual Touristic Emotion and Satisfaction Estimation with Wearable Devices}, author = {Dmitrii Fedotov and Yuki Matsuda and Yuta Takahashi and Yutaka Arakawa and Keiichi Yasumoto and Wolfgang Minker}, year = {2019}, date = {2019-01-01}, booktitle = {IEEE International Conference on Pervasive Computing and Communications (PerCom2019), Demo}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } @conference{菅田2019環境発電による環境発電素子の発電量計測システム, title = {環境発電による環境発電素子の発電量計測システム}, author = {菅田唯仁 and 荒川豊 and 安本慶一}, url = {http://arakawa-lab.com/wp-content/uploads/2019/05/ASN.pdf}, year = {2019}, date = {2019-01-01}, booktitle = {電子情報通信学会 知的環境とセンサネットワーク研究会 (ASN)}, volume = {118}, number = {428}, pages = {23--26}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @conference{和田2019位置に応じたビュー切り替え機能と情報補完機能を有するモバイルアプリの実装と評価, title = {位置に応じたビュー切り替え機能と情報補完機能を有するモバイルアプリの実装と評価}, author = {和田遥香 and 張志華 and 藤本まなと and 荒川豊 and 安本慶一}, url = {http://arakawa-lab.com/wp-content/uploads/2019/09/99657-manu.pdf}, year = {2019}, date = {2019-01-01}, booktitle = {第4回ヘルスケア・医療情報通信技術研究会(MICT)}, volume = {118}, number = {383}, pages = {5--10}, keywords = {}, pubstate = {published}, tppubtype = {conference} } @conference{weko_192526_1, title = {スピーカと複数マイクロフォンアレイを用いた宅内における住人存在検知手法の検討}, author = {米岡 尚樹 and 荒川 豊 and 安本 慶一}, url = {http://arakawa-lab.com/wp-content/uploads/2019/05/IPSJ-UBI18060004.pdf}, year = {2018}, date = {2018-12-01}, booktitle = {情報処理学会ユビキタスコンピューティングシステム(UBI)研究会}, volume = {2018-UBI-60}, number = {4}, keywords = {IoT, security, smart home}, pubstate = {published}, tppubtype = {conference} } @conference{weko_192527_1, title = {Web検索での行動履歴データを用いた検索プロセスの知識化}, author = {永野 一馬 and 荒川 豊 and 安本 慶一}, url = {http://arakawa-lab.com/wp-content/uploads/2019/04/nagano-ubi-2018.pdf http://id.nii.ac.jp/1001/00192463/}, isbn = {2188-8698}, year = {2018}, date = {2018-12-01}, booktitle = {情報処理学会ユビキタスコンピューティングシステム(UBI)研究会}, volume = {2018-UBI-60}, number = {5}, pages = {1 - 6}, keywords = {suplimentation}, pubstate = {published}, tppubtype = {conference} } @conference{weko_192528_1, title = {端末側での適応的通知タイミング制御の実現に向けた通知情報調査システムの構築と調査結果}, author = {高城 賢大 and 松田 裕貴 and 荒川 豊 and 安本 慶一}, url = {http://arakawa-lab.com/wp-content/uploads/2019/05/IPSJ-UBI18060006.pdf}, year = {2018}, date = {2018-12-01}, booktitle = {情報処理学会ユビキタスコンピューティングシステム(UBI)研究会}, volume = {2018-UBI-60}, number = {6}, keywords = {Activity recognition, notification}, pubstate = {published}, tppubtype = {conference} } @article{Yuki-Emo-2018, title = {EmoTour: Estimating Emotion and Satisfaction of Users Based on Behavioural Cues and Audio-Visual Data}, author = {Yuki, Matsuda and Dmitrii, Fedotov and Yuta, Takahashi and Yutaka, Arakawa and Keiichi, Yasumoto and Wolfgang, Minker}, url = {https://www.mdpi.com/1424-8220/18/11/3978}, doi = {https://doi.org/10.3390/s18113978}, year = {2018}, date = {2018-11-15}, journal = {MIDPI Sensors}, volume = {18}, number = {11}, abstract = {With the spread of smart devices, people may obtain a variety of information on their surrounding environment thanks to sensing technologies. To design more context-aware systems, psychological user context (e.g., emotional status) is a substantial factor for providing useful information in an appropriate timing. As a typical use case that has a high demand for context awareness but is not tackled widely yet, we focus on the tourism domain. In this study, we aim to estimate the emotional status and satisfaction level of tourists during sightseeing by using unconscious and natural tourist actions. As tourist actions, behavioral cues (eye and head/body movement) and audiovisual data (facial/vocal expressions) were collected during sightseeing using an eye-gaze tracker, physical-activity sensors, and a smartphone. Then, we derived high-level features, e.g., head tilt and footsteps, from behavioral cues. We also used existing databases of emotionally rich interactions to train emotion-recognition models and apply them in a cross-corpus fashion to generate emotional-state prediction for the audiovisual data. Finally, the features from several modalities are fused to estimate the emotion of tourists during sightseeing. To evaluate our system, we conducted experiments with 22 tourists in two different touristic areas located in Germany and Japan. As a result, we confirmed the feasibility of estimating both the emotional status and satisfaction level of tourists. In addition, we found that effective features used for emotion and satisfaction estimation are different among tourists with different cultural backgrounds.}, keywords = {dialogue systems, emotion recognition, satisfaction estimation, smart cities, smart tourism, wearable computing}, pubstate = {published}, tppubtype = {article} } @inproceedings{Takata:2018:ICE:3267305.3267504, title = {Investigating the Capitalize Effect of Sensor Position for Training Type Recognition in a Body Weight Training Support System}, author = {Masashi Takata and Manato Fujimoto and Keiichi Yasumoto and Yugo Nakamura and Yutaka Arakawa}, url = {http://doi.acm.org/10.1145/3267305.3267504}, doi = {10.1145/3267305.3267504}, isbn = {978-1-4503-5966-5}, year = {2018}, date = {2018-10-08}, booktitle = {Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers}, pages = {1404--1408}, publisher = {ACM}, address = {Singapore, Singapore}, series = {UbiComp '18}, keywords = {Activity recognition, Fitness support, wearable computing}, pubstate = {published}, tppubtype = {inproceedings} } @inproceedings{Ishimaru:2018:HBP:3267305.3267667, title = {HyperMind Builder: Pervasive User Interface to Create Intelligent Interactive Documents}, author = {Shoya Ishimaru and Nicolas Gro\ssmann and Andreas Dengel and Ko Watanabe and Yutaka Arakawa and Carina Heisel and Pascal Klein and Jochen Kuhn}, url = {http://doi.acm.org/10.1145/3267305.3267667}, doi = {10.1145/3267305.3267667}, isbn = {978-1-4503-5966-5}, year = {2018}, date = {2018-10-08}, booktitle = {Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers}, pages = {357--360}, publisher = {ACM}, address = {Singapore, Singapore}, series = {UbiComp '18}, keywords = {Graphical User Interface, Human-Document Interaction}, pubstate = {published}, tppubtype = {inproceedings} } @inproceedings{8567667, title = {In-Situ Resource Provisioning with Adaptive Scale-out for Regional IoT Services}, author = {Yugo Nakamura and Teruhiro Mizumoto and Hirohiko Suwa and Yutaka Arakawa and Hirozumi Yamaguchi and Keiichi Yasumoto}, doi = {10.1109/SEC.2018.00022}, year = {2018}, date = {2018-10-01}, booktitle = {2018 IEEE/ACM Symposium on Edge Computing (SEC)}, pages = {203-213}, keywords = {Edge computing, Quality of Experience, Resource provisioning}, pubstate = {published}, tppubtype = {inproceedings} } @conference{高橋雄太2018生活リズムの類似性や周期性に基づく心身の健康状態の推定と予測, title = {生活リズムの類似性や周期性に基づく心身の健康状態の推定と予測}, author = {高橋雄太 and 荒川豊 and 安本慶一}, year = {2018}, date = {2018-05-16}, booktitle = {研究報告ユビキタスコンピューティングシステム (UBI)}, journal = {研究報告ユビキタスコンピューティングシステム (UBI)}, volume = {2018}, number = {1}, pages = {1--7}, keywords = {mental health, wearable computing}, pubstate = {published}, tppubtype = {conference} } @conference{雨森千周2017whoqol, title = {WHOQOL-BREF に基づくHRQOL 評価におけるスマートデバイスを用いた簡易計測手法の提案}, author = {雨森千周 and 水本旭洋 and 荒川豊 and 安本慶一}, year = {2017}, date = {2017-07-15}, booktitle = {マルチメディア, 分散協調とモバイルシンポジウム 2017 論文集}, journal = {マルチメディア, 分散協調とモバイルシンポジウム 2017 論文集}, volume = {2017}, pages = {880--887}, keywords = {mental health, qol}, pubstate = {published}, tppubtype = {conference} } @inproceedings{amenomori2017method, title = {A method for simplified hrqol measurement by smart devices}, author = {Chishu Amenomori and Teruhiro Mizumoto and Hirohiko Suwa and Yutaka Arakawa and Keiichi Yasumoto}, year = {2017}, date = {2017-01-01}, booktitle = {International Conference on Wireless Mobile Communication and Healthcare}, pages = {91--98}, organization = {Springer}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } @conference{雨森千周2016健康寿命予測システムの実現に向けた, title = {健康寿命予測システムの実現に向けた HRQOL 簡易計測手法に関する一検討}, author = {雨森千周 and 水本旭洋 and 荒川豊 and 安本慶一}, year = {2016}, date = {2016-09-15}, booktitle = {2016 年度 情報処理学会関西支部 支部大会 講演論文集}, journal = {2016 年度 情報処理学会関西支部 支部大会 講演論文集}, volume = {2016}, keywords = {mental health, qol, stress sensing}, pubstate = {published}, tppubtype = {conference} } @conference{nakaoka-2022-wssit, title = {手指の機能障害に対する客観的評価確立に向けた箸型センサを用いた巧緻動作認識手法の検討}, author = {中岡黎,大井一輝,尾崎麻希,三崎慎也,中村優吾,松田裕貴,諏訪博彦,眞野智生,城戸顕,安本慶一}, booktitle = {社会システムと情報技術研究ウィーク(WSSIT22)}, keywords = {}, pubstate = {published}, tppubtype = {conference} }