소프트 컴퓨팅 기법을 이용한 근전도 신호의 패턴 분류와 재활 로봇 팔 제어에의 응용EMG pattern classification using soft computing techniques and its application to the control of a rehabilitation robotic arm
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 변증남 | - |
| dc.contributor.advisor | Bien, Zeung-Nam | - |
| dc.contributor.author | 한정수 | - |
| dc.contributor.author | Han, Jeong-Su | - |
| dc.date.accessioned | 2011-12-14T01:46:42Z | - |
| dc.date.available | 2011-12-14T01:46:42Z | - |
| dc.date.issued | 2000 | - |
| dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=157506&flag=dissertation | - |
| dc.identifier.uri | http://hdl.handle.net/10203/37347 | - |
| dc.description | 학위논문(석사) - 한국과학기술원 : 전기및전자공학전공, 2000.2, [ vi, 80 p. ] | - |
| dc.language | kor | - |
| dc.publisher | 한국과학기술원 | - |
| dc.title | 소프트 컴퓨팅 기법을 이용한 근전도 신호의 패턴 분류와 재활 로봇 팔 제어에의 응용 | - |
| dc.title.alternative | EMG pattern classification using soft computing techniques and its application to the control of a rehabilitation robotic arm | - |
| dc.type | Thesis(Master) | - |
| dc.identifier.CNRN | 157506/325007 | - |
| dc.description.department | 한국과학기술원 : 전기및전자공학전공, | - |
| dc.identifier.uid | 000983630 | - |
| dc.contributor.localauthor | 변증남 | - |
| dc.contributor.localauthor | Bien, Zeung-Nam | - |
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- EE-Theses_Master(석사논문)
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