An adaptation strategy of using LDA classifier for EMG pattern recognition
Published: Jul 1, 2013
Abstract
The time-varying character of myoelectric signal usually causes a low classification accuracy in traditional supervised pattern recognition method. In this work, an unsupervised adaptation strategy of linear discriminant analysis (ALDA) based on probability weighting and cycle substitution was suggested in order to improve the performance of electromyography (EMG)-based motion classification in multifunctional myoelectric prostheses control in...
Paper Details
Title
An adaptation strategy of using LDA classifier for EMG pattern recognition
Published Date
Jul 1, 2013
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