EMG-Based Continuous Control Scheme With Simple Classifier for Electric-Powered Wheelchair
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jang, Giho | - |
dc.contributor.author | Kim, Junghoon | - |
dc.contributor.author | Lee, Sungon | - |
dc.contributor.author | Choi, Youngjin | - |
dc.date.accessioned | 2021-06-22T16:43:03Z | - |
dc.date.available | 2021-06-22T16:43:03Z | - |
dc.date.created | 2021-01-21 | - |
dc.date.issued | 2016-06 | - |
dc.identifier.issn | 0278-0046 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/13617 | - |
dc.description.abstract | This paper presents an electromyographic (EMG)-based continuous control scheme including simple classifier for an electric-powered wheelchair, ultimately for quadriplegics. The proposed scheme utilizes three EMG signals as inputs for the muscle-computer interface. Since zygomaticus major muscles and transversus menti muscle of human face are able to move independently as well as to adjust contractile forces voluntarily, the surface EMG signals on these muscles are utilized for the electric-powered wheelchair control system. To extract the envelopes of the signal waveforms and to reflect the moving average activities, the root-mean-squares (RMS) operation and normalization are subsequently employed as initial signal processing. Then, an activation vector containing three normalized RMS signals is obtained in real time. The activation vector is applied to the simple classifier for finding out the motion command. Both desired linear acceleration and angular velocity are yielded from the linear combinations of the classification result and the magnitude of activation vector. Finally, desired wheel velocities of the wheelchair control system are obtained by using the integration and differential inverse kinematics. The effectiveness of the proposed control scheme is verified through several experiments such as avoiding obstacle cones and navigating long distance by the users. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | EMG-Based Continuous Control Scheme With Simple Classifier for Electric-Powered Wheelchair | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, Sungon | - |
dc.contributor.affiliatedAuthor | Choi, Youngjin | - |
dc.identifier.doi | 10.1109/TIE.2016.2522385 | - |
dc.identifier.scopusid | 2-s2.0-84969931589 | - |
dc.identifier.wosid | 000376120000036 | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, v.63, no.6, pp.3695 - 3705 | - |
dc.relation.isPartOf | IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS | - |
dc.citation.title | IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS | - |
dc.citation.volume | 63 | - |
dc.citation.number | 6 | - |
dc.citation.startPage | 3695 | - |
dc.citation.endPage | 3705 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Automation & Control Systems | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Instruments & Instrumentation | - |
dc.relation.journalWebOfScienceCategory | Automation & Control Systems | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Instruments & Instrumentation | - |
dc.subject.keywordPlus | ELBOW JOINT ANGLE | - |
dc.subject.keywordPlus | SURFACE-ELECTROMYOGRAM | - |
dc.subject.keywordPlus | EXOSKELETON | - |
dc.subject.keywordPlus | INTERFACE | - |
dc.subject.keywordPlus | SYSTEM | - |
dc.subject.keywordPlus | USERS | - |
dc.subject.keywordPlus | HAND | - |
dc.subject.keywordAuthor | Classification | - |
dc.subject.keywordAuthor | continuous control | - |
dc.subject.keywordAuthor | electric-powered wheelchair | - |
dc.subject.keywordAuthor | electromyography (EMG) | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/7393830 | - |
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.