Realtime and multiple degree-of-freedom electric hand system based on electromyogram signals

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This research has developed basic techniques for operating electrical hands by Myoelectric interface which uses electromyogram (EMG) signals measured from human hands. Experimental results using developed techniques reveal that frequency characteristics of EMG signals are effective for signal pattern recognition and Support Vector Machine is robust for several EMG measuring environments. A prototype system of controlling a robot hand using EMG signals has also developed. The research has totally shown well feasibility of constructing an electrical hands system through experimental tests for forearm amputees.