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01-10-2011 | Original Paper

An Environmental-Adaptive Fall Detection System on Mobile Device

Authors: Sung-Yen Chang, Chin-Feng Lai, Han-Chieh Josh Chao, Jong Hyuk Park, Yueh-Min Huang

Published in: Journal of Medical Systems | Issue 5/2011

Abstract

When facing damages caused by falls, a well designed smart sensor system to detect falls can be both medically and economically helpful. This research introduces a portable terrain adaptable fall detection system, by placing accelerometers and gyroscopes in parts of the body and transmit data through wireless transmitter modules to mobile devices to get the related information and combining it with the center of gravity clustering algorithm introduced in this research which computes the human body behavior patterns according the relationship between the center of gravity in the body and the feet portion of the body. Compared with the research in the past, this system is not only highly accurate and robust, but also able to adapt to different types of terrains, which solves the problems that other researches have for detection errors when the client is climbing the stairs or walking on a slant.

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Title: An Environmental-Adaptive Fall Detection System on Mobile Device
Authors: Sung-Yen Chang
Chin-Feng Lai
Han-Chieh Josh Chao
Jong Hyuk Park
Yueh-Min Huang
Publication date: 01-10-2011
Publisher: Springer US
Published in: Journal of Medical Systems / Issue 5/2011
Print ISSN: 0148-5598
Electronic ISSN: 1573-689X
DOI: https://doi.org/10.1007/s10916-011-9677-2

Keynote webinar | Spotlight on medication adherence

Springer Medicine

An Environmental-Adaptive Fall Detection System on Mobile Device

Abstract

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

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