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

Chernbumroong, Saisakul; Cang, Shuang; Yu, Hongnian

Authors

Saisakul Chernbumroong

Shuang Cang



Abstract

To cope with the increasing number of aging population, a type of care which 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.

Journal Article Type Article
Acceptance Date Jun 7, 2014
Online Publication Date Jun 26, 2014
Publication Date 2014-10
Deposit Date Jan 8, 2020
Publicly Available Date Jan 8, 2020
Journal Decision Support Systems
Print ISSN 0167-9236
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 66
Pages 61-70
DOI https://doi.org/10.1016/j.dss.2014.06.005
Keywords Multi-sensor activity recognition, Home-based care, Feature selection, Classification, Mutual information
Public URL http://researchrepository.napier.ac.uk/Output/2354983

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