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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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.
|Uncontrolled Keywords:||Classification ; Feature selection ; Home-based care ; Multi-sensor activity recognition ; Mutual information|
|Group:||Faculty of Management|
|Deposited By:||Unnamed user with email symplectic@symplectic|
|Deposited On:||14 Oct 2015 15:38|
|Last Modified:||02 Aug 2016 11:53|
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