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dc.contributor.authorKIM, SANG WOO-
dc.contributor.authorMINHO, CHOI-
dc.date.accessioned2018-05-10T08:27:07Z-
dc.date.available2018-05-10T08:27:07Z-
dc.date.created2018-02-07-
dc.date.issued2017-10-26-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/41804-
dc.languageEnglish-
dc.publisherIEEE-
dc.relation.isPartOf2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society-
dc.relation.isPartOf2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society-
dc.titleOnline SVM-based personalizing method for the drowsiness detection of drivers-
dc.typeConference-
dc.type.rimsCONF-
dc.identifier.bibliographicCitation2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.4195 - 4198-
dc.citation.conferenceDate2017-10-24-
dc.citation.conferencePlaceKO-
dc.citation.endPage4198-
dc.citation.startPage4195-
dc.citation.title2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society-
dc.contributor.affiliatedAuthorKIM, SANG WOO-
dc.contributor.affiliatedAuthorMINHO, CHOI-
dc.description.journalClass1-
dc.description.journalClass1-

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김상우KIM, SANG WOO
Dept of Electrical Enginrg
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