Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/34200
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMercuri, Marco-
dc.contributor.authorSoh, Ping Jack-
dc.contributor.authorBoccia, Luigi-
dc.contributor.authorSchreurs, Dominique-
dc.contributor.authorVandenbosch, Guy AE-
dc.contributor.authorLeroux, Paul-
dc.contributor.authorAmendola, Giandomenico-
dc.date.accessioned2014-04-30T08:50:36Z-
dc.date.available2014-04-30T08:50:36Z-
dc.date.issued2013-01-
dc.identifier.citationp. 4-6en_US
dc.identifier.isbn978-1-4673-2930-9-
dc.identifier.urihttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6613656&tag=1-
dc.identifier.urihttp://dspace.unimap.edu.my:80/dspace/handle/123456789/34200-
dc.descriptionProceeding of IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems 2013 (BioWireleSS 2013) - Procceding of The 7th IEEE Radio and Wireless Week, RWW 2013 at Austin, TX, United States on 20 January 2013 through 23 January 2013en_US
dc.description.abstractAn optimization of a Stepped-Frequency Continuous Wave (SFCW) radar for contactless fall detection and tag-less localization is presented and discussed. Wideband antennas with different topologies are investigated to solve the backscattering problem, which strongly overwhelms the signal when the radar is operated on a wall. Experimental evaluations with a real human subject indicated accurate detection both of fall events and of the target's absolute distance in a typical room setting.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartofseriesProceeding of IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems 2013 (BioWireleSS 2013);-
dc.subjectFall detectionen_US
dc.subjectHealth monitoringen_US
dc.subjectRadar remote sensingen_US
dc.subjectSFCW radaren_US
dc.subjectTag-less localizationen_US
dc.titleOptimized SFCW radar sensor aiming at fall detection in a real room environmenten_US
dc.typeWorking Paperen_US
dc.contributor.urlpjsoh@unimap.edu.myen_US
Appears in Collections:Conference Papers
Soh Ping Jack, Assoc. Prof. Dr.

Files in This Item:
File Description SizeFormat 
Optimized SFCW radar sensor aiming at fall detection in a real room environment.pdfAccess is limited to UniMAP community461.3 kBAdobe PDFView/Open


Items in UniMAP Library Digital Repository are protected by copyright, with all rights reserved, unless otherwise indicated.