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
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;
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2013 8th IEEE Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4673-6320-4
DOI :
10.1109/ICIEA.2013.6566501
