Time series modeling of surface EMG based hand manipulation identification via expectation maximization algorithm

In this paper, we focus on the method of employing the expectation maximization (EM) algorithm to the modeling of surface electromyography (sEMG) signals based on hand manipulations via available time series of the measured data. The model for the sEMG is developed as a hidden Markov model (HMM) fra...

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Veröffentlicht in:	Neurocomputing (Amsterdam) Jg. 168; S. 661 - 668
Hauptverfasser:	Lu, Yang, Ju, Zhaojie, Liu, Yurong, Shen, Yuxuan, Liu, Honghai
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 30.11.2015
Schlagworte:	Expectation maximization algorithm Hidden Markov model Surface electromyography recognition Time series data Hidden Markov model Surface electromyography recognition Expectation maximization algorithm Time series data
ISSN:	0925-2312, 1872-8286
Online-Zugang:	Volltext
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