Wearable sensor-based activity recognition for housekeeping task

Kai Chun Liu, Chien Yi Yen, Li Han Chang, Chia Yeh Hsieh, Chia Tai Chan

研究成果: Conference contribution同行評審

22 引文 斯高帕斯(Scopus)

摘要

In order to improve healthcare services and support clinical professionals, it is important to develop the unobstructive and automatic ADLs monitoring system for healthcare applications. Currently, various works have been developed for the monitoring of daily activities, such as ambulation, kitchen task, food and fluid intake, dressing, and medication intake while only few works paid attention to the housekeeping task. Housekeeping activity is a complex task, generally important for the several clinical assessment tools. In this work, we design and develop a wearable sensor-based activity recognition system recognize housekeeping tasks and classify the activity level. The proposed system achieves 90.67% accuracy for housekeeping tasks recognition, and 94.35% accuracy for activity level classification, respectively. The results of the experiment demonstrate that the system is reliable and fulfills the requirements of the unobstructive, objective, and long-Term monitoring system.

原文English
主出版物標題2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2017
發行者Institute of Electrical and Electronics Engineers Inc.
頁面67-70
頁數4
ISBN(電子)9781509062447
DOIs
出版狀態Published - 30 5月 2017
事件14th IEEE International Conference on Wearable and Implantable Body Sensor Networks, BSN 2017 - Eindhoven, Netherlands
持續時間: 9 5月 201712 5月 2017

出版系列

名字2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2017

Conference

Conference14th IEEE International Conference on Wearable and Implantable Body Sensor Networks, BSN 2017
國家/地區Netherlands
城市Eindhoven
期間9/05/1712/05/17

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