Paper Title:
Research of Humen Fall Detection Algorithm Based on Tri-Axis Accelerometer
  Abstract

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.

  Info
Periodical
Chapter
Chapter 2: Microwaves Optics and Image
Edited by
David Wang
Pages
623-628
DOI
10.4028/www.scientific.net/KEM.500.623
Citation
Y. Gao, J. M. Gao, J. H. Wang, "Research of Humen Fall Detection Algorithm Based on Tri-Axis Accelerometer", Key Engineering Materials, Vol. 500, pp. 623-628, 2012
Online since
January 2012
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Price
$32.00
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