Proceedings of the 1st international conference on PErvasive Technologies Related to Assistive Environments
Fall Detection and Alert for Ageing-at-Home of Elderly
ICOST '09 Proceedings of the 7th International Conference on Smart Homes and Health Telematics: Ambient Assistive Health and Wellness Management in the Heart of the City
HMM based falling person detection using both audio and video
ICCV'05 Proceedings of the 2005 international conference on Computer Vision in Human-Computer Interaction
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Fall detection is the main issue in design an AAL system for elderly. This paper describes an algorithm for vision and audio fall detection. The main problem with video surveillance is the distinction of a fall from similar daily activities such as lying down, kneeling, standing up, walking or falling. The goal of this research is to design a reliable fall detection system which not only relies on video analysis, but also uses the information from environment of the patient to create context information.