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Cited 100 time in webofscience Cited 120 time in scopus
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dc.contributor.authorCichocki, A-
dc.contributor.authorWashizawa, Y-
dc.contributor.authorRutkowski, T-
dc.contributor.authorBakardjian, H-
dc.contributor.authorPhan, AH-
dc.contributor.authorChoi, S-
dc.contributor.authorLee, H-
dc.contributor.authorZhao, QB-
dc.contributor.authorZhang, LQ-
dc.contributor.authorLi, YQ-
dc.date.accessioned2016-04-01T01:08:21Z-
dc.date.available2016-04-01T01:08:21Z-
dc.date.created2009-02-28-
dc.date.issued2008-10-
dc.identifier.issn0018-9162-
dc.identifier.other2008-OAK-0000008216-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/22459-
dc.description.abstractBrain computer interfaces use electric, magnetic, or hemodynamic brain signals to control external devices such as computers, switches, wheelchairs, or neuroprostheses. While BCI research endeavors to create new communication channels for severely handicapped people using their brain signals, recent efforts also have been focused on developing potential applications in rehabilitation, multimedia communication, virtual reality, and entertainment and relaxation. To attain high-quality brain data and, thus, a reliable BCI system, we first need to create the stimulus conditions or mental task setting that will generate maximally measurable and classifiable brain states.-
dc.description.statementofresponsibilityX-
dc.languageEnglish-
dc.publisherIEEE COMPUTER SOC-
dc.relation.isPartOfCOMPUTER-
dc.subjectBRAIN-COMPUTER INTERFACES-
dc.subjectFACTORIZATION-
dc.subjectCLASSIFICATION-
dc.titleNoninvasive BCIs: Multiway Signal-Processing Array Decompositions-
dc.typeArticle-
dc.contributor.college컴퓨터공학과-
dc.identifier.doi10.1109/MC.2008.431-
dc.author.googleCichocki, A-
dc.author.googleWashizawa, Y-
dc.author.googleRutkowski, T-
dc.author.googleBakardjian, H-
dc.author.googlePhan, AH-
dc.author.googleChoi, S-
dc.author.googleLee, H-
dc.author.googleZhao, QB-
dc.author.googleZhang, LQ-
dc.author.googleLi, YQ-
dc.relation.volume41-
dc.relation.issue10-
dc.relation.startpage34-
dc.relation.lastpage+-
dc.contributor.id10077620-
dc.relation.journalCOMPUTER-
dc.relation.indexSCI급, SCOPUS 등재논문-
dc.relation.sciSCI-
dc.collections.nameJournal Papers-
dc.type.rimsART-
dc.identifier.bibliographicCitationCOMPUTER, v.41, no.10, pp.34 - +-
dc.identifier.wosid000259922300015-
dc.date.tcdate2019-01-01-
dc.citation.endPage+-
dc.citation.number10-
dc.citation.startPage34-
dc.citation.titleCOMPUTER-
dc.citation.volume41-
dc.contributor.affiliatedAuthorChoi, S-
dc.identifier.scopusid2-s2.0-54949107338-
dc.description.journalClass1-
dc.description.journalClass1-
dc.description.wostc79-
dc.type.docTypeArticle-
dc.subject.keywordPlusCOMPUTER-
dc.subject.keywordPlusFACTORIZATION-
dc.subject.keywordPlusALGORITHMS-
dc.relation.journalWebOfScienceCategoryComputer Science, Hardware & Architecture-
dc.relation.journalWebOfScienceCategoryComputer Science, Software Engineering-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-

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최승진CHOI, SEUNGJIN
Dept of Computer Science & Enginrg
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