IMPROVEMENT OF MYOELECTRIC PATTERN CLASSIFICATION RATE WITH µ-LAW QUANTIZATION. |
|---|
| Isamu Kajitani, Nobuyuki Otsu, Tetsuya Higuchi |
- 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:
- -
- Event details
- Event name:
- XVII IMEKO World Congress
- Title:
Metrology in the 3rd Millennium
- Place:
- Dubrovnik, CROATIA
- Time:
- 22 June 2003 - 28 June 2003