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dc.contributor.authorShin, Beomju-
dc.contributor.authorLee, Seok-
dc.contributor.authorKim, Chulki-
dc.contributor.authorRhee, Heonsoo-
dc.contributor.authorLee, Taikjin-
dc.contributor.authorKee, Changdon-
dc.contributor.authorHeo, Sujeong-
dc.contributor.authorKim, Jaehun-
dc.date.accessioned2024-01-19T12:08:09Z-
dc.date.available2024-01-19T12:08:09Z-
dc.date.created2022-02-28-
dc.date.issued2014-05-
dc.identifier.issn2153-358X-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/115362-
dc.description.abstractIn this paper, we present a motion recognition based pedestrian dead reckoning (PDR) system. The difference of smartphone-based PDR system and inertial measurement unit (IMU)-based PDR is that axes of smartphone sensor are changed dependently by pedestrian motions, but IMU-based PDR does not that. To solve this issue, we firstly detect a performed motion and operate a proper PDR algorithm according to the detected motion. We apply this system to many persons to identify its applicability. Especially, a heading classifier having 45 degree resolution is applied. We performed a real field test and analyzed a performance of this system.-
dc.languageEnglish-
dc.publisherIEEE-
dc.titleImplementation and Performance Analysis of Smartphone-based 3D PDR System with Hybrid Motion and Heading Classifier-
dc.typeConference-
dc.description.journalClass1-
dc.identifier.bibliographicCitationIEEE/ION Position, Location and Navigation Symposium (PLANS), pp.201 - 204-
dc.citation.titleIEEE/ION Position, Location and Navigation Symposium (PLANS)-
dc.citation.startPage201-
dc.citation.endPage204-
dc.citation.conferencePlaceUS-
dc.citation.conferencePlaceMonterey, CA-
dc.citation.conferenceDate2014-05-05-
dc.relation.isPartOf2014 IEEE/ION POSITION, LOCATION AND NAVIGATION SYMPOSIUM - PLANS 2014-
dc.identifier.wosid000359380700028-
dc.identifier.scopusid2-s2.0-84904967808-
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KIST Conference Paper > 2014
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