Feature Selection and Non-Linear Classifiers: Effects on Simultaneous Motion Recognition in Upper Limb

Volume: 27, Issue: 4, Pages: 743 - 750
Published: Apr 1, 2019
Abstract
Myoelectric signals are a standard input for volitional control of prosthetic devices. As an information-rich signal, feature selection plays a decisive role in the performance of motion classification. In this paper, we evaluate feature selection in the classification of simultaneous motions produced from combinations of wrist and elbow flexion/extension, radio-ulnar pronation/supination, and hand opening/closing aiming to determine a common...
Paper Details
Title
Feature Selection and Non-Linear Classifiers: Effects on Simultaneous Motion Recognition in Upper Limb
Published Date
Apr 1, 2019
Volume
27
Issue
4
Pages
743 - 750
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