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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,...
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