Employing Neighborhood Component Analysis as a Feature Selection Method in the Pattern Recognition Approach for Surface Electromyography Signal Classification
Author:
Affiliation:
1. Nazarbayev University,School of Engineering & Digital Sciences,Department of Electrical and Computer Engineering,Nur-Sultan,Kazakhstan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10167864/10167764/10167875.pdf?arnumber=10167875
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4. Comparison of k-nearest neighbor, quadratic discriminant and linear discriminant analysis in classification of electromyogram signals based on the wrist-motion directions
5. PCA and LDA for EMG-based control of bionic mechanical hand
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