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Use of Electroencephalogram and Deep Neural Network Classification Model to Recognize Users’ Emotional Responses toward Design Alternative

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dc.contributor.author전한종-
dc.date.accessioned2021-09-27T06:19:37Z-
dc.date.available2021-09-27T06:19:37Z-
dc.date.created2021-09-19-
dc.date.issued2018-11-02-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/133124-
dc.language영어-
dc.language.isoen-
dc.publisherACDDE 2018-
dc.titleUse of Electroencephalogram and Deep Neural Network Classification Model to Recognize Users’ Emotional Responses toward Design Alternative-
dc.typeConference-
dc.contributor.affiliatedAuthor전한종-
dc.identifier.bibliographicCitationAsian Conference on Design and Digital Engineering 2018, pp.1 - 13-
dc.relation.isPartOfAsian Conference on Design and Digital Engineering 2018-
dc.relation.isPartOfACDDE, Asian Conference on Design and Digital Engineering-
dc.citation.titleAsian Conference on Design and Digital Engineering 2018-
dc.citation.startPage1-
dc.citation.endPage13-
dc.citation.conferencePlaceJA-
dc.citation.conferencePlaceOkinawa, Japan-
dc.citation.conferenceDate2018-11-01-
dc.type.rimsCONF-
dc.description.journalClass2-
dc.identifier.urlhttps://2018.games-cn.org/download/CFP-ACDDE2018.pdf-
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