Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Finger Motion Recognition of Both Hands Using Electromyogram

Full metadata record
DC Field Value Language
dc.contributor.authorSohn, Jung Woo-
dc.date.available2021-02-26T05:41:40Z-
dc.date.created2021-02-19-
dc.date.issued2020-11-16-
dc.identifier.urihttps://scholarworks.bwise.kr/kumoh/handle/2020.sw.kumoh/18661-
dc.publisherKorean Society for Precision Engineering-
dc.titleFinger Motion Recognition of Both Hands Using Electromyogram-
dc.title.alternativeFinger Motion Recognition of Both Hands Using Electromyogram-
dc.typeConference-
dc.contributor.affiliatedAuthorSohn, Jung Woo-
dc.identifier.bibliographicCitationInternational Symposium on Precision Engineering and Sustainable Manufacturing 2020, v.1, no.1, pp.OS-005-
dc.relation.isPartOfInternational Symposium on Precision Engineering and Sustainable Manufacturing 2020-
dc.relation.isPartOfProceedings of International Symposium on Precision Engineering and Sustainable Manufacturing 2020-
dc.citation.titleInternational Symposium on Precision Engineering and Sustainable Manufacturing 2020-
dc.citation.volume1-
dc.citation.number1-
dc.citation.startPageOS-005-
dc.citation.endPageOS-005-
dc.citation.conferencePlace대한민국-
dc.citation.conferencePlaceOn-Line-
dc.type.rimsCONF-
dc.description.journalClass1-
Files in This Item
There are no files associated with this item.
Appears in
Collections
ETC > 2. Conference Papers

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE