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dc.contributor.authorAn, Kijin-
dc.contributor.authorChoi, JongSuk-
dc.contributor.authorYun, Sang-Seok-
dc.contributor.authorLee, Geunjae-
dc.date.accessioned2024-01-19T11:38:43Z-
dc.date.available2024-01-19T11:38:43Z-
dc.date.created2022-03-01-
dc.date.issued2015-10-
dc.identifier.issn2325-033X-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/115008-
dc.description.abstractIn this work, we proposed a general Perception Sensor Network (PSN) framework for recognition of multiple humans' three_w information such as where, who and what information. PSN system is applied to a robot service assumed a classroom environment. Based on simple state transition model and human information from PSN, robot conducted to supervise a lecture service to students.-
dc.languageEnglish-
dc.publisherIEEE-
dc.titleMultiple Humans recognition of Robot aided by Perception Sensor Network-
dc.typeConference-
dc.description.journalClass1-
dc.identifier.bibliographicCitation12th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), pp.359 - 361-
dc.citation.title12th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)-
dc.citation.startPage359-
dc.citation.endPage361-
dc.citation.conferencePlaceUS-
dc.citation.conferencePlaceGoyang, SOUTH KOREA-
dc.citation.conferenceDate2015-10-28-
dc.relation.isPartOf2015 12TH INTERNATIONAL CONFERENCE ON UBIQUITOUS ROBOTS AND AMBIENT INTELLIGENCE (URAI)-
dc.identifier.wosid000379215900101-
dc.identifier.scopusid2-s2.0-84962781388-
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KIST Conference Paper > 2015
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