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dc.contributor.authorFaulkner N
dc.contributor.authorParr B
dc.contributor.authorAlam F
dc.contributor.authorLegg M
dc.contributor.authorDemidenko S
dc.date.available2020
dc.date.issued2020-10-12
dc.identifierhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000583561700001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=c5bb3b2499afac691c2e3c1a83ef6fef
dc.identifier.citationIEEE ACCESS, 2020, 8 pp. 187353 - 187364
dc.identifier.issn2169-3536
dc.description.abstractPassive indoor positioning, also known as Device-Free Localization (DFL), has applications such as occupancy sensing, human-computer interaction, fall detection, and many other location-based services in smart buildings. Vision-, infrared-, wireless-based DFL solutions have been widely explored in recent years. They are characterized by respective strengths and weaknesses in terms of the desired accuracy, feasibility in various real-world scenarios, etc. Passive positioning by tracking the footsteps on the floor has been put forward as one of the promising options. This article introduces CapLoc, a floor-based DFL solution that can localize a subject in real-time using capacitive sensing. Experimental results with three individuals walking 39 paths on the CapLoc show that it can detect and localize a single target's footsteps accurately with a median localization error of 0.026 m. The potential for fall detection is also shown with the outlines of various poses of the subject lying upon the floor.
dc.format.extent187353 - 187364
dc.publisherIEEE Xplore
dc.rightsThe Author(s) CC BY
dc.subjectCapacitive sensing
dc.subjectdevice-free localization
dc.subjectelectric field sensing
dc.subjectfall detection
dc.subjectfootstep detection
dc.subjectfootstep tracking
dc.subjecthuman sensing
dc.subjectindoor localization
dc.subjectindoor positioning system (IPS)
dc.subjectpassive positioning
dc.titleCapLoc: Capacitive Sensing Floor for Device-Free Localization and Fall Detection
dc.typeJournal article
dc.citation.volume8
dc.identifier.doi10.1109/ACCESS.2020.3029971
dc.identifier.elements-id435228
dc.relation.isPartOfIEEE ACCESS
dc.description.publication-statusPublished
pubs.organisational-group/Massey University
pubs.organisational-group/Massey University/College of Sciences
pubs.organisational-group/Massey University/College of Sciences/School of Food and Advanced Technology
dc.identifier.harvestedMassey_Dark
pubs.notesNot known
dc.subject.anzsrc08 Information and Computing Sciences
dc.subject.anzsrc09 Engineering
dc.subject.anzsrc10 Technology


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