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A practical multi-sensor activity recognition system for home-based care.

Chernbumroong, S., Cang, S. and Yu, H., 2014. A practical multi-sensor activity recognition system for home-based care. Decision Support Systems, 66, 61 - 70.

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DOI: 10.1016/j.dss.2014.06.005


To cope with the increasing number of aging population, a type of carewhich can help prevent or postpone entry into institutional care is preferable. Activity recognition can be used for home-based care in order to help elderly people to remain at home as long as possible. This paper proposes a practical multi-sensor activity recognition system for home-based care utilizing on-body sensors. Seven types of sensors are investigated on their contributions toward activity classification. We collected a real data set through the experiments participated by a group of elderly people. Seven classification models are developed to explore contribution of each sensor. We conduct a comparison study of four feature selection techniques using the developed models and the collected data. The experimental results show our proposed system is superior to previous works achieving 97% accuracy. The study also demonstrates how the developed activity recognition model can be applied to promote a home-based care and enhance decision support system in health care.

Item Type:Article
Uncontrolled Keywords:Classification ; Feature selection ; Home-based care ; Multi-sensor activity recognition ; Mutual information
Group:Bournemouth University Business School
ID Code:22669
Deposited By: Symplectic RT2
Deposited On:14 Oct 2015 15:38
Last Modified:14 Mar 2022 13:53


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