Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/62921
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dc.contributor.authorSoni, Kunalen
dc.contributor.authorHasan, Syed Farazen
dc.contributor.authorShoat, Mohammad Hossain Dehghanen
dc.contributor.authorSiddique, Nazmulen
dc.date.accessioned2024-09-18T04:59:45Z-
dc.date.available2024-09-18T04:59:45Z-
dc.date.issued2021-
dc.identifier.citation2021 17th International Symposium on Wireless Communication Systems (ISWCS), p. 1--5en
dc.identifier.isbn9781728174327en
dc.identifier.isbn9781728174334en
dc.identifier.issn2154-0225en
dc.identifier.issn2154-0217en
dc.identifier.urihttps://hdl.handle.net/1959.11/62921-
dc.description.abstract<p>This paper covers passive localization of a device-free user such that the user is not involved in the positioning system. We use the so-called device-free passive localization approach to estimate the most likely movement pattern exhibited by a remote-controlled, passive robot while moving at a walking speed. Our estimation is based only on the changes in received signal strength as a result of the concerned movement patterns of the robot. This involves observation of physical movement of the robot within an indoor area covered by Wi-Fi signals and its resulting impact on the radio environment. We show that the movement patterns of a remotely controlled robot can be predicted from the signal features.</p>en
dc.languageenen
dc.publisherInstitute of Electrical and Electronics Engineersen
dc.relation.ispartofProceedings of the 17th International Symposium on Wireless Communication Systems, ISWCS 2021en
dc.titleDetecting Similar and Dissimilar Movement Patterns using Indoor Passive Localizationen
dc.typeConference Publicationen
dc.relation.conferenceISWCS 2021: International Symposium on Wireless Communication Systemsen
dc.identifier.doi10.1109/ISWCS49558.2021.9562191en
local.contributor.firstnameKunalen
local.contributor.firstnameSyed Farazen
local.contributor.firstnameMohammad Hossain Dehghanen
local.contributor.firstnameNazmulen
local.output.categoryE1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.date.conferenceBerlin, Germanyen
local.conference.place6th - 9th September, 2021en
local.publisher.placeUnited States of Americaen
local.format.startpage1en
local.format.endpage5en
local.peerreviewedYesen
local.contributor.lastnameSonien
local.contributor.lastnameHasanen
local.contributor.lastnameShoaten
local.contributor.lastnameSiddiqueen
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/62921en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleDetecting Similar and Dissimilar Movement Patterns using Indoor Passive Localizationen
local.output.categorydescriptionY4 Conference (Awaiting Review)en
local.uneassociationNoen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.published2021-
local.year.presented2024en
local.subject.for20204006 Communications engineeringen
local.subject.seo2020tbden
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.date.moved2024-09-20en
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