https://scholars.lib.ntu.edu.tw/handle/123456789/581298
標題: | Precise Measurement of Physical Activities and High-Impact Motion: Feasibility of Smart Activity Sensor System | 作者: | Liu H.-P Chuang Y.-M Liu C.-H Yang P.C CHIOU-SHANN FUH |
關鍵字: | Application programming interfaces (API); Internet of things; Learning algorithms; Machine learning; Inertial measurement unit; Internet of Things (IOT); Physical activity; Physical activity levels; Physical strength; Precise measurements; Remote Internet access; Sensor applications; Wearable sensors | 公開日期: | 2021 | 卷: | 21 | 期: | 1 | 起(迄)頁: | 568-580 | 來源出版物: | IEEE Sensors Journal | 摘要: | Today, over 72% of the world-wide population lives beyond the age of 65. Senior care has become one of the single most relevant challenges globally. There are many relevant issues related to monitoring and managing the daily activities of senior citizens. In this study, we will examine the role of advanced activity sensor platform to monitor their daily activity levels. It will assist in understanding the lifestyle of the individual seniors to promote safety and improve the quality of life through measurement of physical strength and independence. We investigate the requirements of wearable technology for the seniors, employing Inertial Measurement Unit (IMU) sensor for senior care. The proposed system includes a wearable device for each senior, Internet of Thing (IoT) receiver environment, smart alert, and cloud-based machine learning algorithm with Application Processing Interface (API) enabled remote Internet access. The primary application of our proposed IMU sensor application includes precise measurement of individual physical activity level. ? 2001-2012 IEEE. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097709503&doi=10.1109%2fJSEN.2020.3015392&partnerID=40&md5=53fd28d2b8b46fae8786ea0de8d220da https://scholars.lib.ntu.edu.tw/handle/123456789/581298 |
ISSN: | 1530437X | DOI: | 10.1109/JSEN.2020.3015392 |
顯示於: | 資訊工程學系 |
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