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

Chernbumroong, Saisakul, Cang, Shuang and Yu, Hongnian (2014) A practical multi-sensor activity recognition system for home-based care. Decision Support Systems, 66. pp. 61-70. ISSN 0167-9236

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1016/j.dss.2014.06.005


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.

Item Type: Article
Uncontrolled Keywords: Multi-sensor activity recognition, Home-based care, Feature selection, Classification, Mutual information
Subjects: B800 Medical Technology
L500 Social Work
Department: Faculties > Business and Law > Newcastle Business School
Depositing User: Becky Skoyles
Date Deposited: 15 Aug 2018 14:23
Last Modified: 19 Nov 2019 09:50
URI: http://nrl.northumbria.ac.uk/id/eprint/35358

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics