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A Novel Approach to Classify Natural Grasp Actions by Estimating Muscle Activity Patterns from EEG Signals

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dc.contributor.authorLee, Seong Whan-
dc.date.accessioned2021-08-27T11:57:03Z-
dc.date.available2021-08-27T11:57:03Z-
dc.date.created2021-04-22-
dc.date.issued2020-02-26-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/6783-
dc.publisherIEEE-
dc.titleA Novel Approach to Classify Natural Grasp Actions by Estimating Muscle Activity Patterns from EEG Signals-
dc.title.alternativeA Novel Approach to Classify Natural Grasp Actions by Estimating Muscle Activity Patterns from EEG Signals-
dc.typeConference-
dc.contributor.affiliatedAuthorLee, Seong Whan-
dc.identifier.bibliographicCitation8th IEEE International Winter Conference on Brain-Computer Interface-
dc.relation.isPartOf8th IEEE International Winter Conference on Brain-Computer Interface-
dc.relation.isPartOfProc. 8th IEEE International Winter Conference on Brain-Computer Interface-
dc.citation.title8th IEEE International Winter Conference on Brain-Computer Interface-
dc.citation.conferencePlaceKO-
dc.citation.conferenceDate2020-02-26-
dc.type.rimsCONF-
dc.description.journalClass1-
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