A pattern recognition system for myoelectric based prosthesis hand control

ICIEA 2015
Pages: 830 - 834
Published: Jun 15, 2015
Abstract
Early myoelectric control research approaches focused on one or two degrees of freedom (DOFs). Pattern recognition has the potential to work on multiple DOFs. This paper proposes a pattern recognition method for real-time myoelectric control system. The work presented consists of EMG data acquisition, motion activity detection, data segmentation, feature extraction, dimensionality reduction, classification, and postprocessing. Support Vector...
Paper Details
Title
A pattern recognition system for myoelectric based prosthesis hand control
Published Date
Jun 15, 2015
Journal
Pages
830 - 834
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