• Mathematics
  • Published 2003

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

@inproceedings{Kajitani2003IMPROVEMENTOM,
  title={IMPROVEMENT OF MYOELECTRIC PATTERN CLASSIFICATION RATE WITH µ -LAW QUANTIZATION.},
  author={Isamu Kajitani and Nobuyuki Otsu and Tetsuya Higuchi},
  year={2003}
}
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. 

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