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Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/62983
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dc.contributor.authorYin, Junlinen
dc.contributor.authorHasan, Syed Farazen
dc.date.accessioned2024-09-18T06:22:32Z-
dc.date.available2024-09-18T06:22:32Z-
dc.date.issued2024-
dc.identifier.citationProceedings of the International Conference on Information Networking, ICOIN 2022, p. 352-355en
dc.identifier.isbn9781665413329en
dc.identifier.urihttps://hdl.handle.net/1959.11/62983-
dc.description.abstract<p>Device-free passive localization can be used for detecting physical activity being exhibited by an individual in a typical indoor environment, only by examining the variations in wireless signal strength caused by that activity. This paper uses machine learning classifiers to distinguish between four physical activities performed by an individual in a controlled indoor setting. The activities of interest include two diagonal walking movements in opposite directions, and two similar movements culminating in the individual abruptly stopping to emulate a fall. It has been shown in this paper that an analysis of variations in signal strength can accurately distinguish between the concerned physical activities. This paper is a step towards passively and non-intrusively detecting whether an individual has fallen down in an indoor environment.</p>en
dc.languageenen
dc.publisherInstitute of Electrical and Electronics Engineersen
dc.relation.ispartofProceedings of the International Conference on Information Networking, ICOIN 2022en
dc.titlePassive Localization for Comparing Physical Activities in Indoor Environmentsen
dc.typeConference Publicationen
dc.relation.conferenceICOIN 2022: International Conference on Information Networkingen
dc.identifier.doi10.1109/ICOIN53446.2022.9687137en
local.contributor.firstnameJunlinen
local.contributor.firstnameSyed Farazen
local.profile.schoolResearch Servicesen
local.profile.emailshasan3@une.edu.auen
local.output.categoryE1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.date.conference12th - 15th January, 2022en
local.conference.placeJeju-si, Korea, Republic ofen
local.publisher.placeUnited States of Americaen
local.format.startpage352en
local.format.endpage355en
local.peerreviewedYesen
local.contributor.lastnameYinen
local.contributor.lastnameHasanen
dc.identifier.staffune-id:shasan3en
local.profile.orcid0009-0006-5345-2790en
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/62983en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitlePassive Localization for Comparing Physical Activities in Indoor Environmentsen
local.output.categorydescriptionE1 Refereed Scholarly Conference Publicationen
local.conference.detailsICOIN 2022: International Conference on Information Networking, Jeju-si, Korea, Republic of, 12th - 15th January, 2022en
local.search.authorYin, Junlinen
local.search.authorHasan, Syed Farazen
local.uneassociationNoen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.published2024en
local.year.presented2024en
local.subject.for20204006 Communications engineeringen
local.subject.seo2020tbden
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.date.moved2024-09-19en
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