Journal of EEIS
Current Result Document : 3 / 3
| 한글제목(Korean Title) |
EMG Pattern Recognition based on Evidence Accumulation for Prosthesis Control |
| 영문제목(English Title) |
EMG Pattern Recognition based on Evidence Accumulation for Prosthesis Control |
| 저자(Author) |
Seok-Pil Lee
Sang-Hui Park
|
| 원문수록처(Citation) |
VOL 02 NO. 06 PP. 0020 ~ 0027 (1997. 12) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
We present a method of electromyographic(EMG) pattern recognition to identify motion commands for the control of a prosthetic arm by evidence accumulation with multiple parameters. Integral absloute value, variance, autoregressive(AR) model coefficients, linear cepstrum coefficients, and adaptive cepstrum vector are extracted as feature parameters from several time segments of the EMG signals. Pattern recognition is carried out through the evidence accumulation procedure using the distances measured with reference parameters. A fuzzy mapping function is desgined to transform the distances for the application of the evidence accumulation method. Results are presented to suppport the feasibility of the suggested approach for EMG patterb recognition. |
| 키워드(Keyword) |
EMG Pattern
Evidence Accumulation
Prosthesis Control
|
| 파일첨부 |
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