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dc.contributor.author Shin, Seongjoo -
dc.contributor.author Lee, Jin-Hee -
dc.contributor.author Son, Sang Hyuk -
dc.date.accessioned 2026-04-15T17:15:56Z -
dc.date.available 2026-04-15T17:15:56Z -
dc.date.created 2017-05-08 -
dc.date.issued 2016 -
dc.identifier.uri https://scholar.dgist.ac.kr/handle/20.500.11750/60262 -
dc.description.abstract Researchers have developed diverse methods for detecting hand gestures using EMG signal. The signal of EMG sensor can be measured on a human skin surface. There are two approaches to recognizing hand gestures. One approach is to fuse EMG sensor with others sensors. It is possible to extract various motion features. Other approach uses algorithms that improve the recognition accuracy. We survey two approaches for detecting hand gestures. In future work, we plan to implement the method that can recognize various hand gestures in robust and accurate manner. © 2016 IEEE. -
dc.publisher Institute of Electrical and Electronics Engineers Inc. -
dc.title A Survey of Approaches for Recognizing Hand Gestures Using EMG Signal -
dc.type Article -
dc.identifier.doi 10.1109/RTCSA.2016.22 -
dc.identifier.wosid 000387085600049 -
dc.identifier.scopusid 2-s2.0-84994528815 -
dc.identifier.bibliographicCitation 22nd IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2016, pp.263 -
dc.citation.startPage 263 -
dc.citation.title 22nd IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2016 -
dc.description.journalRegisteredClass scopus -
dc.type.docType Conference Paper -
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