Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/34200
Title: Optimized SFCW radar sensor aiming at fall detection in a real room environment
Authors: Mercuri, Marco
Soh, Ping Jack
Boccia, Luigi
Schreurs, Dominique
Vandenbosch, Guy AE
Leroux, Paul
Amendola, Giandomenico
pjsoh@unimap.edu.my
Keywords: Fall detection
Health monitoring
Radar remote sensing
SFCW radar
Tag-less localization
Issue Date: Jan-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: p. 4-6
Series/Report no.: Proceeding of IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems 2013 (BioWireleSS 2013);
Abstract: An 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.
Description: Proceeding 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 2013
URI: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6613656&tag=1
http://dspace.unimap.edu.my:80/dspace/handle/123456789/34200
ISBN: 978-1-4673-2930-9
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.