A Study on EMG Functional Recognition Vsing Reduced-Connection Network

연결 축소 회로망을 이용한 EMG 신호 기능 인식에 관한 연구

  • 조정호 (연세대학교 전기공학과) ;
  • 최윤호 (연세대학교 전기공학과, 동양공업전문대학 전기공학과)
  • Published : 1990.12.01

Abstract

In this study, LPC cepstrum coefficients are used as feature vector extracted from AR model of EMG signal, and a reduced-connection network whlch has reduced connection between nodes is constructed to classify and recognize EMG functional classes. The proposed network reduces learning time and improves system stability Therefore it is Ehown that the proposed network is appropriate in recognizing function of EMG signal.

Keywords