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뇌파 기반 3차원 감성 지도 제작에 관한 연구 - 동대문 디자인 플라자(DDP)를 중심으로 -

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dc.contributor.author맹진규-
dc.contributor.author지승열-
dc.contributor.author전한종-
dc.date.accessioned2023-09-26T09:50:11Z-
dc.date.available2023-09-26T09:50:11Z-
dc.date.created2023-07-21-
dc.date.issued2021-04-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/191301-
dc.description.abstractIn the era of the fourth industrial revolution, personalized personalized services are being held to improve the quality of individual lives of consumers. With the recent emergence of Neuroarchitecture based on scientific data in the field of architecture, research using brain waves is actively underway. Against this backdrop, Seoul's Dongdaemun Design Plaza (DDP) was selected as one of the top 52 places to visit in the world in 2015 and has become a new and symbolic landmark of the Korean design industry, which can serve as a key venue for design conferences, exhibitions, events and meetings. Therefore, this study proposes a plan for developing 3D emotional maps based on EEG, focusing on DDP in Seoul.-
dc.language한국어-
dc.language.isoko-
dc.publisher대한건축학회-
dc.title뇌파 기반 3차원 감성 지도 제작에 관한 연구 - 동대문 디자인 플라자(DDP)를 중심으로 --
dc.title.alternativeA Study on the 3D Emotional Map Based on Brain Wave - Focused on Dongdaemun Design Plaza (DDP) --
dc.typeArticle-
dc.contributor.affiliatedAuthor전한종-
dc.identifier.bibliographicCitation대한건축학회 2021년도 춘계학술발표대회논문집 , v.41, no.1, pp.202 - 203-
dc.relation.isPartOf대한건축학회 2021년도 춘계학술발표대회논문집-
dc.citation.title대한건축학회 2021년도 춘계학술발표대회논문집-
dc.citation.volume41-
dc.citation.number1-
dc.citation.startPage202-
dc.citation.endPage203-
dc.type.rimsART-
dc.type.docTypeProceeding-
dc.description.journalClass3-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassother-
dc.subject.keywordAuthor뇌전도-
dc.subject.keywordAuthor감성지도-
dc.subject.keywordAuthor데이터 시각화-
dc.subject.keywordAuthor해시태그 분석-
dc.subject.keywordAuthorElectroencephalogram(EEG)-
dc.subject.keywordAuthorEmotional Map-
dc.subject.keywordAuthorData Visualization-
dc.subject.keywordAuthorHashtag analysis-
dc.identifier.urlhttps://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE10563672-
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