IMPROVEMENT OF MYOELECTRIC PATTERN CLASSIFICATION RATE WITH µ-LAW QUANTIZATION.

• Abstract:

  In order to realize a myoelectric-controlled multi-functional hand prosthesis, this paper proposes a method to improve the myoelectric pattern classification ability of a hand controller. By applying the proposed method of µ-LAW quantization, the pattern classification rate increased by 11.1% (averaged for five subjects) and by 15.5% (maximum), with a practical pattern classification rate of 97.8% being achieved.
• Keywords:

  myoelectric, prosthesis, logic circuit
• Download:

  PWC-2003-TC18-002.pdf
• DOI:

  _unreg_wc-2003.TC18-002

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