표면 근전도 신호처리 기반 인간 팔 동작의 추종 알고리즘
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 최영진 | - |
dc.contributor.author | 유현재 | - |
dc.date.accessioned | 2021-06-23T20:07:42Z | - |
dc.date.available | 2021-06-23T20:07:42Z | - |
dc.date.created | 2021-02-01 | - |
dc.date.issued | 2007-08 | - |
dc.identifier.issn | 1976-5622 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/44047 | - |
dc.description.abstract | This paper proposes the human arm motion tracking algorithm based on the signal processing for surface EMG (electromyogram) sensors attached on both upper arm and shoulder. The signals acquired by using surface EMG sensors are processed with choosing the maximum in a short period, taking the absolute value, and filtering noises out with a low-pass filter. The processed signals are directly used for the motion generation of virtual arm in real time simulator. The virtual arm of simulator has two degrees of freedom and complies with the flexion and extension motions of elbow and shoulder. Also, we show the validity of the suggested algorithms through the experiments. | - |
dc.language | 한국어 | - |
dc.language.iso | ko | - |
dc.publisher | 제어·로봇·시스템학회 | - |
dc.title | 표면 근전도 신호처리 기반 인간 팔 동작의 추종 알고리즘 | - |
dc.title.alternative | Human Arm Motion Tracking based on sEMG Signal Processing | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | 최영진 | - |
dc.identifier.bibliographicCitation | 제어.로봇.시스템학회 논문지, v.13, no.8, pp.769 - 776 | - |
dc.relation.isPartOf | 제어.로봇.시스템학회 논문지 | - |
dc.citation.title | 제어.로봇.시스템학회 논문지 | - |
dc.citation.volume | 13 | - |
dc.citation.number | 8 | - |
dc.citation.startPage | 769 | - |
dc.citation.endPage | 776 | - |
dc.type.rims | ART | - |
dc.identifier.kciid | ART001083179 | - |
dc.description.journalClass | 2 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | kci | - |
dc.subject.keywordAuthor | sEMG(surface electromyogram) sensor | - |
dc.subject.keywordAuthor | flexion | - |
dc.subject.keywordAuthor | extension | - |
dc.subject.keywordAuthor | signal processing | - |
dc.subject.keywordAuthor | scaling function | - |
dc.subject.keywordAuthor | biceps brachii | - |
dc.subject.keywordAuthor | deltoideus | - |
dc.subject.keywordAuthor | real time motion tracking | - |
dc.subject.keywordAuthor | sEMG(surface electromyogram) sensor | - |
dc.subject.keywordAuthor | flexion | - |
dc.subject.keywordAuthor | extension | - |
dc.subject.keywordAuthor | signal processing | - |
dc.subject.keywordAuthor | scaling function | - |
dc.subject.keywordAuthor | biceps brachii | - |
dc.subject.keywordAuthor | deltoideus | - |
dc.subject.keywordAuthor | real time motion tracking | - |
dc.identifier.url | https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE01975696 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
55 Hanyangdeahak-ro, Sangnok-gu, Ansan, Gyeonggi-do, 15588, Korea+82-31-400-4269 sweetbrain@hanyang.ac.kr
COPYRIGHT © 2021 HANYANG UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.