Paper Info
Title
A practical multi-sensor activity recognition system for home-based care.
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.
Year
DOI
Venue
2014
10.1016/j.dss.2014.06.005
Decision Support Systems
Keywords
Field
DocType
Multi-sensor activity recognition,Home-based care,Feature selection,Classification,Mutual information
Health care,Data mining,Activity classification,Activity recognition,Feature selection,Computer science,Decision support system,Mutual information,Population ageing
Journal
Volume
Issue
ISSN
66
C
0167-9236
Citations 
PageRank 
References 
14
0.58
17
Authors
3
Name
Order
Citations
PageRank
Saisakul Chernbumroong11315.76
Shuang Cang219016.48
hongnian339146.50