Paper Info
Title
Context aware inactivity recognition for visual fall detection
Abstract
This paper introduces a method for automatic fall detection, targeted towards the monitoring of elderly people in a nursing home or in their natural home environment. The method uses information extracted from images obtained using novel 3D camera technology, combined with a context model. Visual information consists of body orientation calculated from posture extraction and of periods of inactivity. The context model allows for a different interpretation of the visual fall detection results, depending on the exact location, time and duration of the detected event. The context model is learnt during the ongoing monitoring task without human intervention and automatically adapts to the changing activity patterns of the monitored subject. I. I NTRODUCTION
Year
DOI
Venue
2006
10.1109/PCTHEALTH.2006.361657
PervasiveHealth
Keywords
Field
DocType
accidents,feature extraction,geriatrics,patient monitoring,3D camera technology,automatic visual fall detection,context awareness,context model,elderly people monitoring,inactivity recognition,information extraction,posture extraction
Computer vision,Computer science,Remote patient monitoring,3d camera,Context model,Feature extraction,Context awareness,Information extraction,Artificial intelligence
Conference
ISBN
Citations 
PageRank 
1-4244-1086-X
49
4.65
References 
Authors
9
2
Name
Order
Citations
PageRank
Bart Jansen114823.35
Rudi Deklerck213112.63