Evaluation of Feature Extraction and Recognition for Activity Monitoring and Fall Detection Based on Wearable sEMG Sensors

As an essential subfield of context awareness, activity awareness, especially daily activity monitoring and fall detection, plays a significant role for elderly or frail people who need assistance in their daily activities. This study investigates the feature extraction and pattern recognition of su...

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Bibliographic Details

Published in:	Sensors
Main Authors:	Xugang Xi, Minyan Tang, Seyed M. Miran, Zhizeng Luo
Format:	Article
Language:	English
Published:	MDPI AG 2017-05-01
Subjects:	surface electromyography (sEMG) feature extraction classifier activity monitoring fall detection
Online Access:	http://www.mdpi.com/1424-8220/17/6/1229