DocumentCode
623302
Title
Towards detecting inactivity using an in-home monitoring system
Author
Moshtaghi, Masud ; Zukerman, Ingrid ; Russell, R. Andrew ; Albrecht, David
Author_Institution
Fac. of Inf. Technol., Monash Univ., Clayton, VIC, Australia
fYear
2013
fDate
19-21 June 2013
Firstpage
935
Lastpage
940
Abstract
The ageing of the world population underscores the need for in-home monitoring systems that help elderly people remain safely in their homes. This paper introduces a statistical model that addresses one of the main concerns of elderly people and their carers, viz detection of safe movement in the house. Our model identifies unusually long periods of inactivity within different regions in a home using non-intrusive sensors. Our evaluation on two real-life datasets yields encouraging results.
Keywords
handicapped aids; patient monitoring; sensors; statistical analysis; elderly people; in-home monitoring systems; inactivity detection; nonintrusive sensors; safe movement; statistical model; world population ageing; Biomedical monitoring; Data models; Exponential distribution; Mathematical model; Monitoring; Senior citizens; Sensors;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics and Applications (ICIEA), 2013 8th IEEE Conference on
Conference_Location
Melbourne, VIC
Print_ISBN
978-1-4673-6320-4
Type
conf
DOI
10.1109/ICIEA.2013.6566501
Filename
6566501
Link To Document