Abstract
Activities of Daily Living Scale (ADLs) is widely used to evaluate living abilities of the patients and the elderly. Most of the currently proposed approaches for tracking indicators of ADLs are human-centric. Considering the privacy concerns of the human-centric approaches, a new thing-centric sensing system, named TaRad, for detecting some indicators of ADLs (i.e. using fridge, making a phone call), through identifying vibration of objects when a person interacts with objects. It consists of action transceivers (named ViNode), smart phones and a server. By taking into account the limited computation resource of the action transceiver, and the drift and accuracy issues of the cheap sensor, a method of extracting features from the vibration signal, named ViFE, along with a light-weight activity recognition method, named ViAR, have been implemented in ViNode. Besides, an operator recognition method, named ViOR, has been proposed to recognize the acting person who generates vibration of action transceiver, when two or more people exist simultaneously within an area. Experimental results verify the performance of TaRad with different persons, in terms of the sensitivity to correctly detect the activities, and probability to successfully recognize the operators of the activities.
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Acknowledgment
The authors would like to thank Jun Xie, Lihua Dong, Zhenghong Peng, Wenzhen Du, Wenqing Liu, Meng Li and Wenwen Gao, from the Wireless Sensor Networks Laboratory at the Institute of Computing Technology Chinese Academy of Sciences for participating in the experimental evaluation of the system. This work was supported in part by the Zhejiang Provincial Natural Science Foundation of China under Grant LY18F020011 and Ningbo Natural Science Foundation under Grant 2018A610154.
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Chen, H., Liu, X., Zhao, Z., Aceto, G., Pescapè, A. (2019). TaRad: A Thing-Centric Sensing System for Detecting Activities of Daily Living. In: Montella, R., Ciaramella, A., Fortino, G., Guerrieri, A., Liotta, A. (eds) Internet and Distributed Computing Systems . IDCS 2019. Lecture Notes in Computer Science(), vol 11874. Springer, Cham. https://doi.org/10.1007/978-3-030-34914-1_34
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