대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 2004년도 하계학술대회 논문집 D
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- Pages.2356-2358
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- 2004
휴먼 인터페이스를 위한 팔운동 근전신호 패턴인식에 관한 연구
Pattern Recognition of EMG signals in arm movements for Human interface
- Kim, Kyoung-Ryul (Dept. of Electrical Engineering, Konkuk University) ;
- Yoon, Kwang-Ho (Dept. of Electrical Engineering, Konkuk University) ;
- Kim, Lark-Kyo (Dept. of Electrical Engineering, Konkuk University) ;
- Nam, Moon-Hyon (Dept. of Electrical Engineering, Konkuk University)
- 발행 : 2004.07.14
초록
This thesis aims to investigate new approaches to the control strategies of human arm movements and its application for the human interface. By analyzing myoelectric signal(MES) from the arm movements of the normal human subjects, neurological informations obtained patterned could be used to identify different movement patterns of the arm movement. In this paper Artificial neural network for separation of the contraction patterns of four kinds of arm movements, i.e. and flexion and extension of the elbow and adduction and abduction of the forearm were adopted through computer simulation and experiments results were compared with the experimental added-load arm movements.
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