Surface EMG based hand manipulation identification via nonlinear feature extraction and classification

INIS

• nonlinear problems 100%
• hands 83%
• mixtures 66%
• surfaces 50%
• performance 50%
• fuzzy logic 50%
• classification 33%
• extraction 33%
• information 16%
• amplitudes 16%
• vectors 16%
• signals 16%

Computer Science

• Gaussian Mixture Model 66%
• Recognition Rate 33%
• Electromyography 33%
• Classification 33%
• Classification (Machine Learning) 33%
• Feature Extraction 33%
• Experimental Result 16%
• Support Vector Machine 16%
• Good Performance 16%
• Linear Discriminant Analysis 16%
• Feature Individual 16%
• Identification 16%

Physics

• Performance 33%
• Amplitudes 16%
• Information 16%