Research of Humen Fall Detection Algorithm Based on Tri-Axis Accelerometer

The real-time monitoring of human movement can provide valuable information regarding an individual’s degree of functional ability and general level of activity. This paper presents a fall-detection technology based on tri-axial accelerometer sensor was introduced. The acceleration data of the activ...

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Bibliographic Details
Published in:Key engineering materials 2012-01, Vol.500, p.623-628
Main Authors: Gao, Jing Min, Wang, Jiu He, Gao, Yang
Format: Article
Language:English
Subjects:
Accelerometers
Algorithms
Criteria
Human
Monitoring
Real time
Shape memory alloys
Support vector machines
Citations: Items that this one cites
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Summary:The real-time monitoring of human movement can provide valuable information regarding an individual’s degree of functional ability and general level of activity. This paper presents a fall-detection technology based on tri-axial accelerometer sensor was introduced. The acceleration data of the activities with the characteristic quantity SVM and SMA was analyzed. A method based on SVM and SMA, that takes the human body activity (erectness/lies down) as the auxiliary criterion to distinguish fall and ADL is proposed, and concrete threshold value and related parameters are summarized in this article. The experiment results proved that this scheme can obtain highly rate of accuracy and this algorithm has very good timeliness.
ISSN:1013-9826
1662-9795
1662-9795
DOI:10.4028/www.scientific.net/KEM.500.623