Review paper
Enhancing the classification of hand movements through sEMG signal and non-iterative methods
Abstract
In movement classification through surface electromyography signal processing, the classification method must identify the user’s intention with satisfactory accuracy to promote an adequate biosignal interface. Traditionally, classical methods such as Support Vector Machines, Artificial Neural Networks, and Logistic Regression have been used to this end. Recently, Non-Iterative Methods based on Artificial Neural Networks have been revisited in...
Paper Details
Title
Enhancing the classification of hand movements through sEMG signal and non-iterative methods
Published Date
Apr 15, 2019
Journal
Volume
9
Issue
4
Pages
561 - 577
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