A real-time EMG pattern recognition based on linear-nonlinear feature projection for multifunction myoelectric hand

Abstract

This paper proposes a novel real-time EMG pattern recognition for the control of multifunction myoelectric hand from four channel EMG signals. To cope with the nonstationary signal property of the EMG, features are extracted by wavelet packet transform. For dimensionality reduction and nonlinear mapping of the features, we also propose a linear-nonlinear… (More)

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