Title :
Activities of daily living classification using depth features
Author :
Da Luz, Laurence ; Masek, Martin ; Chiou Peng Lam
Author_Institution :
Sch. of Comput. & Security Sci., Edith Cowan Univ., Perth, WA, Australia
Abstract :
The increasing elderly population presents a challenge on the resources of carers and assisted living communities. In this paper, we present an algorithm based around the Microsoft Kinect for monitoring activities of daily living. The system analyses the behaviour of occupants to provide carers with valuable observational data, and has the capacity to detect abnormal events in the home.
Keywords :
assisted living; feature extraction; image classification; image sensors; Microsoft Kinect; abnormal events detection; activities-of-daily living classification; assisted living communities; carers; depth features; elderly population; observational data; occupants behavior; Aging; Cameras; Monitoring; Sensors; Streaming media; Training data; Vectors; assisted living; patient monitoring; smart homes;
Conference_Titel :
TENCON 2013 - 2013 IEEE Region 10 Conference (31194)
Conference_Location :
Xi´an
Print_ISBN :
978-1-4799-2825-5
DOI :
10.1109/TENCON.2013.6718892
