A system for improving fall detection performance using critical phase fall signal and a neural network

A system for improving fall detection performance using critical phase fall signal and a neural network

We present a system for improving fall detection performance using a short time min-max feature based on the specificsignatures of critical phase fall signal and a neural network as a classifier. Two subject groups were tested: Group A involvingfalls and activities by young subjects; Group B testing...

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Bibliographic Details
Main Authors: Patimakorn Jantaraprim, Pornchai Phukpattaranont, Chusak Limsakul, Booncharoen Wongkittisuksa
Format: Article
Language:English
Published: Prince of Songkla University 2012-12-01
Series:Songklanakarin Journal of Science and Technology (SJST)
Subjects:
fall detection
critical phase
short time min-max feature
accelerometer
neural network
Online Access:http://rdo.psu.ac.th/sjstweb/journal/34-6/0597-0721-34-6-637-644.pdf

Internet

http://rdo.psu.ac.th/sjstweb/journal/34-6/0597-0721-34-6-637-644.pdf

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