Wi-Fi信号を用いた自動車・自転車検出手法の設計と評価

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@{,
keywords = {Acoustic sensing, Acoustic sensing, Acoustic sensing, Acoustic sensing, Acoustic sensing, Acoustic sensing, Acoustic sensing, Activity recognition, Activity recognition, Activity recognition, Activity recognition, Activity recognition, Activity recognition, Activity recognition, Activity recognition, Activity recognition, Activity recognition, Activity recognition, Activity recognition, Activity recognition, Activity recognition, Activity recognition, Activity recognition, Activity recognition, Activity recognition, Activity recognition, Activity recognition, Activity recognition, Activity recognition, Activity recognition, beacon, behavior change, behavior change, behavior change support system, behavior change support system, behavior change support system, behavior change support system, behavior change support system, BLE, car sharing, Congestion detection, DAMS, day care, dialogue systems, Edge computing, emotion recognition, emotion recognition, Energy Harvesting, Energy Harvesting, Energy Harvesting, Energy Harvesting, Evacuation support, facial expression, facial expression, fitbit, Fitness support, Fitness support, GIS (Geographical Information System), Graphical User Interface, group meeting, group meeting, group meeting, group meeting, Human Detection, human probe, Human-Document Interaction, Identification, indoor sensing, indoor sensing, Information Retrieval, Intelligent Transport Systems (ITS), Intelligent Transport Systems (ITS), Intelligent Transport Systems (ITS), Intelligent Transport Systems (ITS), Intelligent Transport Systems (ITS); Vehicle detection; Acoustic sensing;  Fitting, Intelligent Transport Systems (ITS); Vehicle detection; Acoustic sensing;  Fitting, Intelligent Transport Systems (ITS); Vehicle detection; Acoustic sensing;  Fitting, interactive signage, IoT, IoT, IoT, IoT, IoT, IoT, its, its, its, its, javascript robotics, kendo, kendo, learning analytics, Life log, Life log, light, localization, localization, localization, Machine Learning, Machine Learning, Maker, mobile application, mobile application, mobile application, mobile application, mobile application, Mobile sensing; Wearable devices; Environmental sensors; Psychology survey;  Mental health; Work engagement, notification, Place Recognition, POI(Point of Interest), posture recognition, Pressure Sensor, Quality of Experience, quality of life, quality of life, quality of life, real estate, rent estimation, Resource provisioning, roadside sensing, satisfaction estimation, security, senstick, senstick, senstick, sightseeing, sleep, smart chair, smart cities, smart home, smart home, smart home, smart mobility, Smart Office, Smart Office, Smart Office, Smart Office, Smart Office, Smart Office, Smart Office, smart tourism, smart tourism, software architecture, spoken dialog system, sport sensing, sport sensing, sport sensing, sport sensing, stress sensing, stress sensing, stress sensing, stress sensing, stress sensing, stress sensing, stress sensing, suplimentation, train detection, train number estimation, Vehicle detection, Vehicle detection, Vehicle detection, Vehicle identification, video summarization, wearable computing, wearable computing, wearable computing, wearable computing, wearable computing, wearable computing, wearable computing, wearable computing, wearable computing, wearable computing, WiFi, WiFi, WiFi, WiFi, work engagement, work engagement, work engagement, Wrist Sensor; Life log; Machine learning; Wearable computing; Occupational  Health, 冷蔵庫, 微表情認識, 混雑度},
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