Fitness Monitoring System based on Collaboration of Multiple Sensors and Actuators

• Item type: SIG Technical Reports(1)
• 公開日: 2024-03-05
• タイトル: Fitness Monitoring System based on Collaboration of Multiple Sensors and Actuators
• タイトル / 言語: en
• タイトル: Fitness Monitoring System based on Collaboration of Multiple Sensors and Actuators
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: IA-E
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_18gh
• 資源タイプ: technical report
• 著者所属: Graduate school of Information Science and Engineering, Ritsumeikan University
• 著者所属: Graduate school of Information Science and Engineering, Ritsumeikan University
• 著者所属: Graduate school of Information Science and Engineering, Ritsumeikan University
• 著者所属(英): en
• 著者所属(英): Graduate school of Information Science and Engineering, Ritsumeikan University
• 著者所属(英): en
• 著者所属(英): Graduate school of Information Science and Engineering, Ritsumeikan University
• 著者所属(英): en
• 著者所属(英): Graduate school of Information Science and Engineering, Ritsumeikan University
• 著者名: Wangyuhao, Li; Hideaki, Miyaji; Hiroshi, Yamamoto
• 著者名(英): Wangyuhao, Li; Hideaki, Miyaji; Hiroshi, Yamamoto
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: 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.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: 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.
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AA12326962
• 書誌情報: 研究報告インターネットと運用技術（IOT）; 巻 2024-IOT-64, 号 34, p. 1-6, 発行日 2024-03-05
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 2188-8787
• Notice: SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc.
• 出版者 / 言語: ja
• 出版者: 情報処理学会