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Cited 34 time in webofscience Cited 37 time in scopus
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Bi-Directional Passing People Counting System Based on IR-UWB Radar Sensors

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dc.contributor.authorChoi, Jeong Woo-
dc.contributor.authorQuan, Xuanjun-
dc.contributor.authorCho, Sung Ho-
dc.date.accessioned2021-08-02T13:51:32Z-
dc.date.available2021-08-02T13:51:32Z-
dc.date.created2021-05-12-
dc.date.issued2018-04-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/17683-
dc.description.abstractIn this paper, we propose system based on impulse radio ultra-wideband (IR-UWB) radar sensors for counting multiple people passing through a passage or a wide door. The proposed counting system utilizes two IR-UWB radar sensors equipped with antennas which have narrow beam width to form two invisible electronic layers in the path. The two electronic layers are used for sensing and direction recognition of multiple people passing by. Algorithmically, sensing and direction recognition of a person passing through a path are performed considering both information of a received signal in each radar and mutual information between two radar signals. The proposed counting system is implemented with two radar modules designed using commercial radar ICs and a Raspberry Pi 2 module. We installed the designed modules in the subway station to verify the performance. Based on the installed modules, data were acquired for one week and the counting performance was verified for various time intervals, such as 2 min, 1 h, and 1 day. Except for a few cases, we could get counting results with errors less than 10%.-
dc.language영어-
dc.language.isoen-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.titleBi-Directional Passing People Counting System Based on IR-UWB Radar Sensors-
dc.typeArticle-
dc.contributor.affiliatedAuthorCho, Sung Ho-
dc.identifier.doi10.1109/JIOT.2017.2714181-
dc.identifier.scopusid2-s2.0-85029634372-
dc.identifier.wosid000429971100006-
dc.identifier.bibliographicCitationIEEE INTERNET OF THINGS JOURNAL, v.5, no.2, pp.512 - 522-
dc.relation.isPartOfIEEE INTERNET OF THINGS JOURNAL-
dc.citation.titleIEEE INTERNET OF THINGS JOURNAL-
dc.citation.volume5-
dc.citation.number2-
dc.citation.startPage512-
dc.citation.endPage522-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaTelecommunications-
dc.relation.journalWebOfScienceCategoryComputer Science-
dc.relation.journalWebOfScienceCategoryInformation Systems-
dc.relation.journalWebOfScienceCategoryEngineering-
dc.relation.journalWebOfScienceCategoryElectrical & Electronic-
dc.relation.journalWebOfScienceCategoryTelecommunications-
dc.subject.keywordAuthorCongestion-
dc.subject.keywordAuthorcontext awareness-
dc.subject.keywordAuthorcrowdedness-
dc.subject.keywordAuthordoor counting-
dc.subject.keywordAuthorgate counting-
dc.subject.keywordAuthorimpulse radio ultra-wideband (IR-UWB) radar-
dc.subject.keywordAuthorpeople counting-
dc.subject.keywordAuthorUWB-
dc.identifier.urlhttps://ieeexplore.ieee.org/document/7945238-
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