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Fitness Monitoring System based on Collaboration of Multiple Sensors and Actuators Fitness Monitoring System based on Collaboration of Multiple Sensors and Actuators Wangyuhao, Li Hideaki, Miyaji Hiroshi, Yamamoto Wangyuhao, Li Hideaki, Miyaji Hiroshi, Yamamoto IA-E In recent years, the number of individuals engaging in fitness activities is steadily increasing in Japan. However, the rising trend is accompanied by an increase in injury rates attributed to improper exercise practices. To address this challenge, Internet of Things (IoT)-based fitness assessment systems are attracting attention. However, many existing systems can not accurately and simultaneously assess both fitness movements and vital signals. They are also difficult for tracking and continuously sensing people who are active in a large space. Therefore, in this study, we propose a new remote fitness monitoring system that leverages a collaborative approach with various sensors, including fisheye camera, RGB camera, infrared sensor, and millimeter wave radar. This system allows for non-contact monitoring of users’ physiological information during fitness activities, and concurrently evaluating the quality of their movements. In addition, through the collaboration of the position detection by the image analysis and actuation by the servo motor, the proposed system achieves a wide-range and continuous monitoring of the trainees using a small number of sensing devices. Furthermore, we conduct experiments to validate the effectiveness of the proposed system in terms of the scalability of the monitoring range and the effectiveness of the vital monitoring. In recent years, the number of individuals engaging in fitness activities is steadily increasing in Japan. However, the rising trend is accompanied by an increase in injury rates attributed to improper exercise practices. To address this challenge, Internet of Things (IoT)-based fitness assessment systems are attracting attention. However, many existing systems can not accurately and simultaneously assess both fitness movements and vital signals. They are also difficult for tracking and continuously sensing people who are active in a large space. Therefore, in this study, we propose a new remote fitness monitoring system that leverages a collaborative approach with various sensors, including fisheye camera, RGB camera, infrared sensor, and millimeter wave radar. This system allows for non-contact monitoring of users’ physiological information during fitness activities, and concurrently evaluating the quality of their movements. In addition, through the collaboration of the position detection by the image analysis and actuation by the servo motor, the proposed system achieves a wide-range and continuous monitoring of the trainees using a small number of sensing devices. Furthermore, we conduct experiments to validate the effectiveness of the proposed system in terms of the scalability of the monitoring range and the effectiveness of the vital monitoring. 情報処理学会 2024-03-05 eng technical report https://ipsj.ixsq.nii.ac.jp/records/233054 2188-8787 AA12326962 研究報告インターネットと運用技術（IOT） 2024-IOT-64 34 1 6 https://ipsj.ixsq.nii.ac.jp/record/233054/files/IPSJ-IOT24064034.pdf application/pdf 2.3 MB