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.

Full text available as:

[img]
Preview
PDF
Paper.pdf - Submitted Version

471kB

DOI: 10.1016/j.dss.2014.06.005

Abstract

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
ISSN:0167-9236
Uncontrolled Keywords:Classification ; Feature selection ; Home-based care ; Multi-sensor activity recognition ; Mutual information
Subjects:UNSPECIFIED
Group:Faculty of Management
ID Code:22669
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:14 Oct 2015 15:38
Last Modified:02 Aug 2016 11:53

Downloads

Downloads per month over past year

More statistics for this item...
Repository Staff Only -