A robust multimodal fall detection method for ambient assisted living applications

Accidental falls threaten the lives of people over 65 years of age and can be overcome with quick action for saving lives. Old people who live alone and those who have chronic diseases constitute the main risk groups. Fast and effective detection of falls will increase the quality of life of these p...

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Bibliographic Details
Main Authors: Alemdar, Hande Özgür, Kara, Yunus Emre, Özen, Mustafa Ozan, Yavuz, Gokhan Remzi, Incel, Özlem Durmaz, Akarun, Lale, Ersoy, Cem
Format: Conference Proceeding
Language:English
Subjects:
Gold
Programmable logic arrays
Online Access:Request full text
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Summary:Accidental falls threaten the lives of people over 65 years of age and can be overcome with quick action for saving lives. Old people who live alone and those who have chronic diseases constitute the main risk groups. Fast and effective detection of falls will increase the quality of life of these people. In this study, using accelerometers together with a video sensor, a multi-modal fall detection mechanism is proposed and its performance has been evaluated. The results indicate that an accelerometer triggered video processing method will minimize the processing costs together with privacy related issues.
ISSN:2165-0608
2693-3616
DOI:10.1109/SIU.2010.5652742