2021
Journal Articles |
Mohamed A. Abdelwahab, Shizuo Kaji, Maiya Hori, Shigeru Takano, Yutaka Arakawa, Rin-ichiro Taniguchi Measuring “Nigiwai” from Pedestrian Movement Journal Article In: IEEE Access, pp. 1-1, 2021, ISSN: 2169-3536. @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}, pages = {1-1}, 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 = {}, pubstate = {published}, tppubtype = {article} } 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. |
Masaki Gogami; Yuki Matsuda; Yutaka Arakawa; Keiichi Yasumoto Detection of Careless Responses in Online Surveys Using Answering Behavior on Smartphone Journal Article In: IEEE Access, pp. 1-1, 2021, ISSN: 2169-3536. @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 = {2021-01-26}, journal = {IEEE Access}, pages = {1-1}, 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 = {}, pubstate = {published}, tppubtype = {article} } 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. |
Inproceedings |
Daichi Koike, Shigemi Ishida, Yutaka Arakawa Called Function Identification of IoT Devices by Network Traffic Analysis Inproceedings In: The 36th ACM/SIGAPP Symposium On Applied Computing (SAC2021), pp. 737-743, 2021. @inproceedings{sac2021-koike, title = {Called Function Identification of IoT Devices by Network Traffic Analysis}, author = {Daichi Koike, Shigemi Ishida, Yutaka Arakawa}, year = {2021}, date = {2021-03-22}, booktitle = {The 36th ACM/SIGAPP Symposium On Applied Computing (SAC2021)}, pages = {737-743}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } |
Kenta Hayashi, Shingo Kumazoe, Shigemi Ishida, Yutaka Arakawa Distinguishing Working State by Palm Orientation Inproceedings In: 2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech 2021), 2021. @inproceedings{hayashi-lifetech2021, title = {Distinguishing Working State by Palm Orientation}, author = {Kenta Hayashi, Shingo Kumazoe, Shigemi Ishida, Yutaka Arakawa}, year = {2021}, date = {2021-03-09}, booktitle = {2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech 2021)}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } |
Sirui Jian, Shigemi Ishida, Yutaka Arakawa Initial Attempt on Wi-Fi CSI Based Vibration Sensing for Factory Equipment Fault Detection Inproceedings In: International Workshop on Maintenance-Free Context Sensing (MFSens), in conjunction with International Conference on Distributed Computing and Networking (ICDCN), Nara, Japan, 2021. @inproceedings{jian21:icdcn_mfsens, title = {Initial Attempt on Wi-Fi CSI Based Vibration Sensing for Factory Equipment Fault Detection}, author = {Sirui Jian, Shigemi Ishida, Yutaka Arakawa}, year = {2021}, date = {2021-01-08}, booktitle = {International Workshop on Maintenance-Free Context Sensing (MFSens), in conjunction with International Conference on Distributed Computing and Networking (ICDCN)}, address = {Nara, Japan}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} } |
Conferences |
林 健太, 熊副 慎吾, 石田 繁巳, 荒川 豊 就業中における作業・非作業状態の推定手法の提案 Conference 情報処理学会第83回全国大会, 2021. @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}, year = {2021}, date = {2021-03-11}, booktitle = {情報処理学会第83回全国大会}, keywords = {}, pubstate = {published}, tppubtype = {conference} } |
光来出 優大, 城谷 知葵, 石田 繁巳, 荒川 豊 2つのマイクによる部屋レベル話者位置推定の検討 Conference 情報処理学会第83回全国大会, 2021. @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}, year = {2021}, date = {2021-03-11}, booktitle = {情報処理学会第83回全国大会}, keywords = {}, pubstate = {published}, tppubtype = {conference} } |
城谷 知葵, 光来出 優大, 石田 繁巳, 荒川 豊 生活音からの部屋種別推定手法の検討 Conference 情報処理学会第83回全国大会, 2021. @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}, year = {2021}, date = {2021-03-11}, booktitle = {情報処理学会第83回全国大会}, keywords = {}, pubstate = {published}, tppubtype = {conference} } |
徳永 大空, 荒川 豊, 石田 繁巳, 島田 敬士, 峯 恒憲 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 Conference 情報処理学会第83回全国大会, 2021. @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 = {}, pubstate = {published}, tppubtype = {conference} } |
有田 充, 石田 繁巳, 荒川 豊 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 Conference 情報処理学会第83回全国大会, 2021. @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}, year = {2021}, date = {2021-03-11}, booktitle = {情報処理学会第83回全国大会}, keywords = {}, pubstate = {published}, tppubtype = {conference} } |
後上 正樹，松田 裕貴，荒川 豊，安本 慶一 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 Conference 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, 2021. @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 = {}, pubstate = {published}, tppubtype = {conference} } 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． |
後上 正樹，松田 裕貴，荒川 豊，安本 慶一 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 Conference 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, 2021. @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 = {}, pubstate = {published}, tppubtype = {conference} } |
2020
Journal Articles |
荒川 豊 情報技術の進展に伴う“作業”の変化 Journal Article In: 作業科学研究, 14 (1), pp. 13-17, 2020, ISSN: 2434-4176. @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 = {}, pubstate = {published}, tppubtype = {article} } 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. |
Shogo Kawanaka; Yuki Matsuda; Hirohiko Suwa; Manato Fujimoto; Yutaka Arakawa; Keiichi Yasumoto Gamified Participatory Sensing in Tourism: An Experimental Study of the Effects on Tourist Behavior and Satisfaction Journal Article In: Smart Cities, 3 (3), pp. 736–757, 2020, ISSN: 2624-6511. @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 = {}, pubstate = {published}, tppubtype = {article} } 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. |
Akihito Shimazu; Akinori Nakata; Tomohisa Nagata; Yutaka Arakawa; Sachiko Kuroda; Nobuyuki Inamizu; Isamu Yamamoto Psychosocial impact of COVID-19 for general workers Journal Article In: Journal of Occupational Health, 62 (1), pp. e12132, 2020. @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 = {}, pubstate = {published}, tppubtype = {article} } |
Teruhiro, MIZUMOTO; Yasuhiro, OTODA; Chihiro, NAKAJIMA; Mitsuhiro, KOHANA; Motohiro, UENISHI; Keiichi, YASUMOTO; Yutaka, ARAKAWA Design and Implementation of Sensor-Embedded Chair for Continuous Sitting Posture Recognition Journal Article In: IEICE Transactions on Information and Systems, E103.D (5), pp. 1067-1077, 2020. @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 = {}, pubstate = {published}, tppubtype = {article} } 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. |
Masato Hidaka; Yuki Kanaya; Shogo Kawanaka; Yuki Matsuda; Yugo Nakamura; Hirohiko Suwa; Manato Fujimoto; Yutaka Arakawa; Keiichi Yasumoto On-site Trip Planning Support System Based on Dynamic Information on Tourism Spots Journal Article In: Smart Cities, 3 (2), pp. 212–231, 2020. @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 = {}, pubstate = {published}, tppubtype = {article} } 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. |
Yuki Kanaya; Shogo Kawanaka; Hirohiko Suwa; Yutaka Arakawa; Keiichi Yasumoto Automatic Route Video Summarization based on Image Analysis for Intuitive Touristic Experience Journal Article In: Sensors and Materials, 32 (2), pp. 599–610, 2020. @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 = {}, pubstate = {published}, tppubtype = {article} } |
Yohei Torigoe; Yugo Nakamura; Manato Fujimoto; Yutaka Arakawa; Keiichi Yasumoto Strike Activity Detection and Recognition Using Inertial Measurement Unit towards Kendo Skill Improvement Support System Journal Article In: Sensors and Materials, 32 (2), pp. 651–673, 2020. @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 = {}, pubstate = {published}, tppubtype = {article} } |
Kazuki Moriya; Manato Fujimoto; Yutaka Arakawa; Keiichi Yasumoto Effective Trilateration-based Indoor Localization Method Utilizing Active Control of Lighting Devices Journal Article In: Sensors and Materials, 32 (2), pp. 625-650, 2020. @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 = {}, pubstate = {published}, tppubtype = {article} } |
Manato Fujimoto; Seigi Matsumoto; Edgar Marko Trono; Yutaka Arakawa; Keiichi Yasumoto Effective Application Distribution System for Internet-less Communication during Disasters Journal Article In: Sensors and Materials, 32 (1), pp. 79–95, 2020. @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 = {}, pubstate = {published}, tppubtype = {article} } |
Shigemi Ishida; Yutaka Arakawa; Shigeaki Tagashira; Akira Fukuda Wireless Local Area Network Signal Strength Measurement for Sensor Localization without New Anchors Journal Article In: Sensors and Materials, 32 (1), pp. 97–114, 2020. @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 = {}, pubstate = {published}, tppubtype = {article} } |
Inproceedings |
Dawton, Billy; Ishida, Shigemi; Hori, Yuki; Uchino, Masato; Arakawa, Yutaka Proposal for a Compressive Measurement-Based Acoustic Vehicle Detection and Identification System Inproceedings In: Proceedings of the 92nd IEEE Vehicular Technology Conference (VTC2020-Fall), pp. 1-6, 2020. @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 = {}, pubstate = {published}, tppubtype = {inproceedings} } |
Shigeru Takano, Maiya Hori, Yutaka Arakawa, Rin-ichiro Taniguchi Towards ICT based mobility support system with in the COVID-19 era Inproceedings In: The 18th ACM Conference on Embedded Networked Sensor Systems (SenSys 2020), 2020. @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 = {}, pubstate = {published}, tppubtype = {inproceedings} } |
Ryo Takahashi, Kenta Hayashi, Yudai Mitsukude, Masanori Futamata, Shunei Inoue, Shuta Matsuo, Shigemi Ishida, Yutaka Arakawa, Shigeru Takano Itocon - A System for Visualizing the Congestion of Bus Stops around Ito Campus in Real-time Inproceedings In: The 18th ACM Conference on Embedded Networked Sensor Systems (SenSys 2020), 2020. @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 = {}, pubstate = {published}, tppubtype = {inproceedings} } |
Tsuneo Nakanishi; Yutaka Arakawa; Takahiro Ando; Shigemi Ishida; Kenji Hisazumi; Tsunenori Mine; Akira Fukuda An Inter-Organizational Software Architecture for Smart Mobility Inproceedings In: Proceedings of the 2020 9th International Conference on Software and Information Engineering (ICSIE), pp. 41–46, Association for Computing Machinery, Cairo, Egypt, 2020, ISBN: 9781450377218. @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 = {}, pubstate = {published}, tppubtype = {inproceedings} } 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. |
Yuki Matsuda; Dmitrii Fedotov; Yutaka Arakawa; Hirohiko Suwa; Wolfgang Minker; Keiichi Yasumoto Analysis of Tourists' Nationality Effects on Behavior-based Emotion and Satisfaction Estimation Inproceedings In: The 9th International Conference on Informatics, Electronics & Vision (ICIEV) 2020, 2020. @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 = {}, pubstate = {published}, tppubtype = {inproceedings} } |
Takahiro Yamamoto; Shigemi Ishida; Ryota Kimoto; Shigeaki Tagashira; Akira Fukuda Design of BLE 2-Step Separate Channel Fingerprinting Inproceedings In: IEEE Vehicular Technology Conference (VTC2020-Spring), Antwerp, Belgium, 2020. @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 = {}, pubstate = {published}, tppubtype = {inproceedings} } |
Haruka Wada; Zhihua Zhang; Manato Fujimoto; Yutaka Arakawa; Keiichi Yasumoto Implementation and Field Evaluation of Location-based Nursing Record System QuickCareRecord Inproceedings In: 2020 14th International Symposium on Medical Information Communication Technology (ISMICT) (ISMICT2020), Nara, Japan, 2020. @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 = {}, pubstate = {published}, tppubtype = {inproceedings} } 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. |
Zhihua, Zhang; Yuki, Matsuda; Manato, Fujimoto; Yutaka, Arakawa; Keiichi, Yasumoto Embedding Additional Behaviors Into Users’ Daily Routines for Improving Users’ Awareness of Self-Health Condition Inproceedings In: Eighth International Workshop on Behavior Change Support Systems (BCSS 2020), 2020. @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 = {}, pubstate = {published}, tppubtype = {inproceedings} } |
Yuri Tani; Shuichi Fukuda; Yuki Matsuda; Sozo Inoue; Yutaka Arakawa WorkerSense: Mobile Sensing Platform for Collecting Physiological, Mental, and Environmental State of Office Workers Inproceedings In: PerHealth 2020: 5th IEEE PerCom Workshop on Pervasive Health Technologies (PerHealth 2020), 2020. @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 = {}, pubstate = {published}, tppubtype = {inproceedings} } 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. |
Masato Uchino; Billy Dawton; Yuki Hori; Shigemi Ishida; Shigeaki Tagashira; Yutaka Arakawa; Akira Fukuda Initial Design of Two-Stage Acoustic Vehicle Detection System for High Traffic Roads Inproceedings In: PerVehicle 2020: 2nd International Workshop on Pervasive Computing for Vehicular Systems (PerVehicle 2020), 2020. @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} } |
Shuichi Fukuda; Yuki Matsuda; Yutaka Arakawa; Keiichi Yasumoto; Yuri Tani Predicting Depression and Anxiety Mood by Wrist-Worn Sleep Sensor Inproceedings In: WristSense 2020: 6th Workshop on Sensing Systems and Applications using Wrist Worn Smart Devices (WristSense 2020), 2020. @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}, year = {2020}, date = {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 = {}, pubstate = {published}, tppubtype = {inproceedings} } 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. |
Yutaka Arakawa Augmented Workplace: Human-Sensor Interaction for Improving the Work Environment Inproceedings In: Augmented Humans 2020, 2020. @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 = {}, pubstate = {published}, tppubtype = {inproceedings} } |
Billy Dawton; Shigemi Ishida; Yuki Hori; Masato Uchino; Yutaka Arakawa; Shigeaki Tagashira; Akira Fukuda Initial Evaluation of Vehicle Type Identification using Roadside Stereo Microphones Inproceedings In: IEEE Sensors Applications Symposium (IEEE SAS 2020), Kuala Lumpur, 2020. @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 = {}, pubstate = {published}, tppubtype = {inproceedings} } |
Conferences |
井上 隼英; 髙橋 遼; 林 健太; 光来出 優大; 二俣 雅紀; 松尾 周汰; 石田 繁巳; 荒川 豊; 高野 茂 [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 Conference 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）, 2020. @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 = {}, pubstate = {published}, tppubtype = {conference} } |
吉江 智秀; 松田 裕貴; 荒川 豊; 大坪 治喜; 荒賀 崇; 辰野 健太郎; 高石 智; 臼杵 乃理子; 植田 敏浩 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 Conference 第36回日本脳神経血管内治療学会学術総会, 2020. @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 = {}, pubstate = {published}, tppubtype = {conference} } |
福田 修之; 松田 裕貴; 荒川 豊; 安本 慶一 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 Conference 情報処理学会第97回MBL研究会, 2020. @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 = {}, pubstate = {published}, tppubtype = {conference} } |
髙橋 遼; 林 健太; 光来出 優大; 二俣 雅紀; 井上 隼英; 松尾 周汰; 石田 繁巳; 荒川 豊; 高野 茂 バス停混雑度可視化システムitocon（いとこん） Conference 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), 2020. @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}, year = {2020}, date = {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 = {}, pubstate = {published}, tppubtype = {conference} } |
小池 大地; 石田 繁巳; 荒川 豊 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 Conference マルチメディア，分散，協調とモバイル(DICOMO2020)シンポジウム, 2020. @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 }, 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 = {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 = {}, pubstate = {published}, tppubtype = {conference} } 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． |
荒川豊 ［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 Conference マルチメディア，分散，協調とモバイル(DICOMO2020)シンポジウム, 2020. @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 = {}, pubstate = {published}, tppubtype = {conference} } |
中西 恒夫; 荒川 豊; 安藤 崇央; 石田 繁巳; 金子 邦彦; 田頭 茂明; 久住 憲嗣; 峯 恒憲; 福田 晃 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 Conference 電子情報通信学会高度交通システム (ITS) 研究会, 2020. @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 = {}, pubstate = {published}, tppubtype = {conference} } |
折原凌; 石田繁巳; 荒川豊; 福田晃 Wi-Fi信号を用いた自動車・自転車検出手法の設計と評価 Conference 情報処理学会ITS研究会, 2020. @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 = {}, pubstate = {published}, tppubtype = {conference} } |
堀 佑貴; 石田 繁巳; 内野 雅人; 安藤 崇央; 荒川 豊; 福田 晃 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 Conference 情報処理学会ITS研究会, 2020. @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 = {}, pubstate = {published}, tppubtype = {conference} } |
鶴山 優季子; 諏訪 博彦; 小川 祐樹; 荒川 豊; 安本 慶一 W2VXMを用いた飲食店向け賃料推定モデルの構築 Conference 社会システムと情報技術研究ウィーク, 2020. @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 = {}, pubstate = {published}, tppubtype = {conference} } |
鳥越 庸平; 中村 優吾; 藤本 まなと; 荒川 豊; 安本 慶一 剣道打突動作認識の精度向上に向けたリストバンド型ウェアラブルデバイス 装着向き認識手法の検討 Conference 社会システムと情報技術研究ウィーク, 2020. @conference{torigoe-wssit-2020, title = {剣道打突動作認識の精度向上に向けたリストバンド型ウェアラブルデバイス 装着向き認識手法の検討}, 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}, booktitle = {社会システムと情報技術研究ウィーク}, keywords = {}, pubstate = {published}, tppubtype = {conference} } |
林 健太; 石田 繁巳; 荒川 豊 単一の加速度センサによる座位姿勢認識チェアの検討 Conference 情報処理学会第82回全国大会, 2020. @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 = {}, pubstate = {published}, tppubtype = {conference} } |
徳田 瑛; 林 健太; 石田 繁巳; 荒川豊 Javascriptを用いたハードウェア制御に関する問題点の考察 Conference 情報処理学会第82回全国大会, 2020. @conference{ipsj-taika-2020-tokuda, title = {Javascriptを用いたハードウェア制御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}, booktitle = {情報処理学会第82回全国大会}, keywords = {}, pubstate = {published}, tppubtype = {conference} } |
内野 雅人; Billy Dawton; 堀 祐貴; 石田 繁巳; 田頭 茂明; 荒川 豊; 福田 晃 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 Conference 情報処理学会第82回全国大会, 2020. @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 = {}, pubstate = {published}, tppubtype = {conference} } |
折原 凌; 石田 繁巳; 荒川 豊; 福田 晃 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 Conference 情報処理学会第82回全国大会, 2020. @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 = {}, pubstate = {published}, tppubtype = {conference} } |
松本 大生; 高橋 遼; 石田 繁巳; 荒川 豊 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 Conference 情報処理学会第82回全国大会, 2020. @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 = {}, pubstate = {published}, tppubtype = {conference} } |
光来出 優大; 林 健太; 石田 繁巳; 荒川 豊; 福田 晃 冷蔵庫開閉音を用いた人物識別の検討 Conference 情報処理学会第82回全国大会, 2020. @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 = {}, pubstate = {published}, tppubtype = {conference} } |
徳原 耕亮; Billy Dawton; 石田 繁巳; 荒川 豊; 曽根田 悠介; 松田 裕貴 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 Conference 情報処理学会第82回全国大会, 2020. @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 = {}, pubstate = {published}, tppubtype = {conference} } |
松尾 周汰; 荒川 豐; 石田 繁巳 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 Conference 情報処理学会第82回全国大会, 2020. @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 = {}, pubstate = {published}, tppubtype = {conference} } |
曽根田 悠介; 中村 優吾; 松田 裕貴; 荒川 豊; 安本 慶一 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 Conference 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, 2020. @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 = {}, pubstate = {published}, tppubtype = {conference} } |
光来出 優大; 林 健太; 石田 繁巳; 荒川 豊; 福田 晃 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 Conference 電子情報通信学会SeMI研究会, 119 (406), 2020, ISSN: 0913-5685. @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 = {}, pubstate = {published}, tppubtype = {conference} } 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． |
Billy Dawton; Shigemi Ishida; Yuki Hori; Masato Uchino; Yutaka Arakawa; Akira Fukuda 電子情報通信学会, 119 (406), 2020, ISSN: 0913-5685. @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 = {}, pubstate = {published}, tppubtype = {conference} } 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. |
後上 正樹; 松田 裕貴; 荒川 豊; 安本 慶一 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 Conference 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, 2020-HCI-186 (35), 2020, ISBN: 2188-8760. @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 = {}, pubstate = {published}, tppubtype = {conference} } |
2019
Journal Articles |
Yugo Nakamura; Yuki Matsuda; Yutaka Arakawa; Keiichi Yasumoto WaistonBelt X:A Belt-Type Wearable Device with Sensing and Intervention Toward Health Behavior Change Journal Article In: Sensors, 19 (20), 2019, ISSN: 1424-8220. @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 = {}, pubstate = {published}, tppubtype = {article} } 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. |
千住 琴音; 諏訪 博彦; 水本 旭洋; 荒川 豊; 安本 慶一 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 Journal Article In: 情報処理学会論文誌, 60 (10), pp. 1818–1828, 2019. @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 = {}, pubstate = {published}, tppubtype = {article} } |
Yutaka Arakawa [Invited Paper] Sensing and Changing Human Behavior for Workplace Wellness Journal Article In: Journal of Information Processing, 27 , pp. 614-623, 2019. @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 = {}, pubstate = {published}, tppubtype = {article} } 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. |
Zhihua Zhang; Yuta Takahashi; Manato Fujimoto; Yutaka Arakawa; Keiichi Yasumoto Investigating effects of interactive signage–based stimulation for promoting behavior change Journal Article In: Computational Intelligence, 0 (0), 2019. @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 = {}, pubstate = {published}, tppubtype = {article} } 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. |
Yukitoshi, Kashimoto; Yutaka, Arakawa; Keiichi, Yasumoto Room measurement tool combining ultrasonic and inertial sensors in smartphones Journal Article In: International Journal of Ad Hoc and Ubiquitous Computing, 31 (3), pp. 189–199, 2019. @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 = {}, pubstate = {published}, tppubtype = {article} } 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. |
Elder A. H. Akpa; Hirohiko Suwa; Yutaka Arakawa; Keiichi Yasumoto; Masashi Fujiwara A Smart Glove to Track Fitness Exercises by Reading Hand Palm Journal Article In: Journal of Sensors, 2019. @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 = {}, pubstate = {published}, tppubtype = {article} } 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. |
荒川 豊; 金平 卓也; 安本 慶一 POI情報の補完によるマイマップ検索システム Journal Article In: 情報処理学会論文誌, 60 (2), pp. 538 - 548, 2019, ISSN: 1882-7764, (A System for Searching MyMaps by Complementing Additional Information of POIs). @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 = {}, pubstate = {published}, tppubtype = {article} } 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． |
梅木 寿人; 中村 優吾; 藤本 まなと; 水本 旭洋; 諏訪 博彦; 荒川 豊; 安本 慶一 混雑度の偏りを考慮した避難所決定手法 Journal Article In: 情報処理学会論文誌, 60 (2), pp. 608 - 616, 2019, ISSN: 1882-7764 , (Evacuation Center Determination Method Considering Bias of Congestion Degree on Areas). @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 = {}, pubstate = {published}, tppubtype = {article} } 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 |
Inproceedings |
Yusuke Soneda; Yuki Matsuda; Yutaka Arakawa; Keiichi Yasumoto Multimodal Recording System for Collecting Facial and Postural Data in a Group Meeting Inproceedings In: The 27th International Conference on Computers in Education (ICCE 2019), 2019. @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 = {}, pubstate = {published}, tppubtype = {inproceedings} } |
Atsushi Otsubo; Hirohiko Suwa; Yutaka Arakawa; Keiichi Yasumoto Walking Pace Induction Application based on the BPM and RhythmValue of Music Inproceedings In: MobiHealth 2019 - 8th EAI International Conference on Wireless Mobile Communication and Healthcare, 2019. @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 = {}, pubstate = {published}, tppubtype = {inproceedings} } |
Ryo Takahashi; Shigemi Ishida; Akira Fukuda; Tomoki Murakami; Shinya Otsuki DNN-based Outdoor NLOS Human Detection Using IEEE 802.11ac WLAN Signal Inproceedings In: IEEE SENSORS, 2019. @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 = {}, pubstate = {published}, tppubtype = {inproceedings} } |
Yuito Sugata; Yutaka Arakawa; Keiichi Yasumoto Battery-less Place Recognition System using Multiple Energy Harvesting Elements Inproceedings In: IEEE SENSORS, 2019. @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 = {}, pubstate = {published}, tppubtype = {inproceedings} } |
Yusuke Soneda; Yuki Matsuda; Yutaka Arakawa; Keiichi Yasumoto M3B Corpus: Multi-Modal Meeting Behavior Corpus for Group Meeting Assessment Inproceedings In: The 7th International Workshop on Human Activity Sensing Corpus and Applications (HASCA2019), pp. 825–834, ACM, 2019. @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 = {}, pubstate = {published}, tppubtype = {inproceedings} } |
Yuta Kido; Teruhiro Mizumoto; Hirohiko Suwa; Yutaka Arakawa; Keiichi Yasumoto A Cooking Support System for Seasoning with Smart Cruet Inproceedings In: 21ST International Conference On Huma-Computer Interaction (HCII2019), 2019. @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 = {}, pubstate = {published}, tppubtype = {inproceedings} } |
Haruka Wada; Zhihua Zhang; Manato Fujimoto; Yutaka Arakawa; Keiichi Yaumoto QuickCareRecord: Efficient Care Recording Application with Location-based Automatic View Transition and Information Complement Inproceedings In: 13th International Symposium on Medical Information and Communication Technology (ISMICT2019), 2019. @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 = {}, pubstate = {published}, tppubtype = {inproceedings} } |
Yoshinori, Umetsu; Yugo, Nakamura; Yutaka, Arakawa; Manato, Fujimoto; Hirohiko, Suwa EHAAS: Energy Harvesters As A Sensor for Place Recognition on Wearables Inproceedings In: IEEE International Conference on Pervasive Computing and Communications (PerCom 2019), 2019. @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 = {}, pubstate = {published}, tppubtype = {inproceedings} } |
Yuki Kanaya; Shogo Kawanaka; Hirohiko Suwa; Yutaka Arakawa; Keiichi Yasumoto Automatic Tour Video Summarization Focusing on Scene Change for Advance Touristic Experience Inproceedings In: 2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), pp. 391–392, IEEE 2019. @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} } |
Zhihua Zhang; Yutaka Arakawa; Harri Oinas-Kukkonen Design of Behavior Change Environment with Interactive Signage Having Active Talk Function Inproceedings In: 1st International Workshop on Pervasive Persuasive Systems for Behavior Change (PerPersuasion 2019) in conjunction with IEEE PerCom 2019, pp. 796–801, 2019. @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} } |
Naoki Yoneoka; Yutaka Arakawa; Keiichi Yasumoto Detecting Surrounding Users by Reverberation Analysis with a Smart Speaker and Microphone Array Inproceedings In: International Workshop on Pervasive Flow of Things in conjunction with IEEE PerCom 2019, pp. 523–528, 2019. @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} } |
Kenta Taki; Yuki Matsuda; Yutaka Arakawa; Keiichi Yasumoto Design and Implementation of Notification Information Survey System and Survey Results Toward Use-side Adaptive Notification Management Inproceedings In: 1st International Workshop on Pervasive Persuasive Systems for Behavior Change (PerPersuasion 2019) in conjunction with IEEE PerCom 2019, pp. 808–813, 2019. @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} } |
Wataru Sasaki; Masashi Fujiwara; Manato Fujimoto; Hirohiko Suwa; Yutaka Arakawa; Keiichi Yasumoto Predicting Occurrence Time of Daily Living Activities Through Time Series Analysis of Smart Home Data Inproceedings In: Third International Workshop on Pervasive Smart Living Spaces (PerLS’19), pp. 233–238, 2019. @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} } |
Masashi Takata; Yugo Nakamura; Yohei Torigoe; Manato Fujimoto; Yutaka Arakawa; Keiichi Yasumoto Strikes-Thrusts Activity Recognition Using Wrist Sensor Towards Pervasive Kendo Support System Inproceedings In: Workshop on Sensing Systems and Applications Using Wrist Smart Devices (WristSense2019) in conjunction with IEEE PerCom 2019, pp. 243–248, 2019. @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} } |
Atsushi Otsubo; Hirohiko Suwa; Yutaka Arakawa; Keiichi Yasumoto BeatSync: Walking Pace Control through Beat Synchronization between Music and Walking Inproceedings In: IEEE International Conference on Pervasive Computing and Communications (PerCom2019), Demo, 2019. @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} } |
Dmitrii Fedotov; Yuki Matsuda; Yuta Takahashi; Yutaka Arakawa; Keiichi Yasumoto; Wolfgang Minker Towards Real-Time Contextual Touristic Emotion and Satisfaction Estimation with Wearable Devices Inproceedings In: IEEE International Conference on Pervasive Computing and Communications (PerCom2019), Demo, 2019. @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} } |
Conferences |
福田 修之; 谷 優里; 松田 裕貴; 荒川 豊; 安本 慶一 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 Conference 情報処理学会第93回MBL研究会, 2019-MBL-93 (22), 2019. @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 = {}, pubstate = {published}, tppubtype = {conference} } |
島津 明人; 稲水 伸行; 花里 真道; 荒川 豊; 石井 香織 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 Conference 産業ストレス研究（Job Stress Res.）, 26 (4), 日本産業ストレス学会, 2019. @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 = {}, pubstate = {published}, tppubtype = {conference} } |
内野 雅人; 石田 繁巳; 田頭 茂明; 荒川 豊; 福田 晃 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 Conference 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, 2019. @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 = {}, pubstate = {published}, tppubtype = {conference} } |
大坪 敦; 諏訪 博彦; 荒川 豊; 安本 慶一 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 Conference 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, 2019. @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 = {}, pubstate = {published}, tppubtype = {conference} } |
和田 遥香; 張 志華; 藤本 まなと; 荒川 豊; 安本 慶一 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 Conference 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, 2019. @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 = {}, pubstate = {published}, tppubtype = {conference} } |
鳥越 庸平; 中村 優吾; 藤本 まなと; 荒川 豊; 安本 慶一 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 Conference 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, 2019. @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 = {}, pubstate = {published}, tppubtype = {conference} } |
Yutaka Arakawa [Keynote] Utilizing IT Technologies in Future Education Environment Conference 3rd International Conference on Learning Innovation (ICLI) , 2019. @conference{ICLI2019, title = {[Keynote] Utilizing IT Technologies in Future Education Environment}, author = {Yutaka Arakawa}, editor = {3rd International Conference on Learning Innovation (ICLI) }, url = {http://arakawa-lab.com/wp-content/uploads/2019/12/arakawa.pdf}, year = {2019}, date = {2019-10-09}, booktitle = {3rd International Conference on Learning Innovation (ICLI) }, keywords = {}, pubstate = {published}, tppubtype = {conference} } |
折原 凌; 石田 繁巳; 荒川 豊; 田頭 茂明; 福田 晃 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 Conference 革新的無線通信技術に関する横断型研究会（MIKA2019）, 2019, ISSN: 2432-6380. @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 = {}, pubstate = {published}, tppubtype = {conference} } 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. |
後上 正樹; 谷 優里; 松田 裕貴; 荒川 豊; 安本 慶一 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 – Conference 情報処理学会関西支部大会, 2019. @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 = {}, pubstate = {published}, tppubtype = {conference} } |
荒川 豊; 河中 祥吾; 澤田 典宏; 四本松 和悠 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 Conference ヒューマンプローブ研究会, 2019, ISSN: 2432-6380. @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 = {}, pubstate = {published}, tppubtype = {conference} } |
菅田 唯仁; 荒川 豊; 安本 慶一 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 Conference マルチメディア，分散，協調とモバイル(DICOMO2019)シンポジウム, 情報処理学会, 2019. @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 = {}, pubstate = {published}, tppubtype = {conference} } |
谷 優里; 松田 裕貴; 荒川 豊; 井上 創造 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 Conference マルチメディア，分散，協調とモバイル(DICOMO2019)シンポジウム, 情報処理学会, 2019. @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 = {}, pubstate = {published}, tppubtype = {conference} } |
張 志華; 松田 裕貴; 藤本 まなと; 荒川 豊; 安本 慶一 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 Conference マルチメディア，分散，協調とモバイル(DICOMO2019)シンポジウム, 情報処理学会, 2019. @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 = {}, pubstate = {published}, tppubtype = {conference} } |
中村 優吾; 荒川 豊; 安本 慶一 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 Conference マルチメディア，分散，協調とモバイル(DICOMO2019)シンポジウム, 情報処理学会, 2019. @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 = {}, pubstate = {published}, tppubtype = {conference} } |
鶴山 優季子; 諏訪 博彦; 小川 祐樹; 荒川 豊; 安本 慶一 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 Conference マルチメディア，分散，協調とモバイル(DICOMO2019)シンポジウム, 情報処理学会, 2019. @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 = {}, pubstate = {published}, tppubtype = {conference} } |
松田 裕貴; Dmitrii Fedotov; 荒川 豊; 諏訪 博彦; Wolfgang Minker; 安本 慶一 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 Conference マルチメディア，分散，協調とモバイル(DICOMO2019)シンポジウム, 情報処理学会, 2019. @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 = {}, pubstate = {published}, tppubtype = {conference} } |
石田 繁巳; 内野 雅人; 小池 大地; 田頭 茂明; 福田 晃 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 Conference マルチメディア，分散，協調とモバイル(DICOMO2019)シンポジウム, 情報処理学会, 2019. @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 = {}, pubstate = {published}, tppubtype = {conference} } |
林 健太; 石田 繁巳; 田頭 茂明; 福田 晃 着座時の臀部圧力分布を用いた人物同定手法の評価 Conference マルチメディア，分散，協調とモバイル(DICOMO2019)シンポジウム, 情報処理学会, 2019. @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 = {}, pubstate = {published}, tppubtype = {conference} } |
谷 優里; 松田 裕貴; 河中 祥吾; 大坪 敦; 平野 陽大; 荒川 豊; 安本 慶一 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 Conference 情報処理学会第91回MBL研究会, 2019-MBL-91 (34), 2019. @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 = {}, pubstate = {published}, tppubtype = {conference} } |
徳田 博行; 高橋 雄太; 松田 裕貴; 荒川 豊; 安本 慶一 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 Conference 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）, 2019 (44), 2019. @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} } |
鳥越 庸平; 高田 将志; 中村 優吾; 藤本 まなと; 荒川 豊; 安本 慶一 剣道上達支援のためのIMUを用いた打突動作認識 Conference 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, (37), 2019. @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 = {}, pubstate = {published}, tppubtype = {conference} } |
鶴山優季子; 諏訪博彦; 小川祐樹; 荒川豊; 安本慶一; others 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 Conference 社会システムと情報技術研究ウィーク（WSSIT19）, 34 (3), 2019. @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} } |
佐々木渉; 大西晃正; 三崎慎也; 諏訪博彦; 藤本まなと; 水本旭洋; 荒川豊; 木村亜紀; 三木智子; 安本慶一; others 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 Conference 社会システムと情報技術研究ウィーク（WSSIT19）, 34 (1), 2019. @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} } |
菅田唯仁; 荒川豊; 安本慶一 環境発電による環境発電素子の発電量計測システム Conference 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), 118 (428), 2019. @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} } |
和田遥香; 張志華; 藤本まなと; 荒川豊; 安本慶一 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 Conference 第4回ヘルスケア・医療情報通信技術研究会（MICT）, 118 (383), 2019. @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} } |