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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Published in | Neurocomputing (Amsterdam) Vol. 168; pp. 661 - 668 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
30.11.2015
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Subjects | |
Online Access | Get full text |
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