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dc.contributor.authorJIO, GIM-
dc.contributor.authorJAEGOOK, LEE-
dc.contributor.authorSUH, YOUNG JOO-
dc.date.accessioned2022-03-02T05:24:24Z-
dc.date.available2022-03-02T05:24:24Z-
dc.date.created2022-02-25-
dc.date.issued2021-02-05-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/109984-
dc.languageKorean-
dc.publisher한국통신학회-
dc.relation.isPartOf2021년도 한국통신학회 동계종합학술발표회-
dc.relation.isPartOf2021년도 한국통신학회 동계종합학술발표회 논문집-
dc.titleWi-Fi 채널 상태 정보 기반의 실시간 낙상 감지 연구-
dc.title.alternativeReal-time Fall Detection Using Wi-Fi Channel State Information-
dc.typeConference-
dc.type.rimsCONF-
dc.identifier.bibliographicCitation2021년도 한국통신학회 동계종합학술발표회-
dc.citation.conferenceDate2021-02-03-
dc.citation.conferencePlaceKO-
dc.citation.title2021년도 한국통신학회 동계종합학술발표회-
dc.contributor.affiliatedAuthorJIO, GIM-
dc.contributor.affiliatedAuthorJAEGOOK, LEE-
dc.contributor.affiliatedAuthorSUH, YOUNG JOO-
dc.description.journalClass2-
dc.description.journalClass2-

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서영주SUH, YOUNG JOO
Grad. School of AI
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