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Device-Free Radio Vision for Assisted Living Leveraging wireless channel quality information for human sensing
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Signals and Systems Group. CNR, Inst Elect Comp & Telecommun Engn, I-00185 Rome, Italy.;Univ Calif San Diego, La Jolla, CA 92093 USA.;Forschungszentrum Telekommunikat Wien, Vienna, Austria..
Aalto Univ, Dept Commun & Networking, Aalto, Finland.;Univ Gottingen, Comp Networks Grp, Gottingen, Germany.;TU Braunschweig, Braunschweig, Germany.;Swiss Fed Inst Technol, Wearable Comp Lab, Zurich, Switzerland.;Univ Helsinki, Nodes Lab, FIN-00014 Helsinki, Finland.;Natl Inst Informat, Informat Syst Architecture Res Div, Tokyo, Japan..
Politecn Milan, Dipartimento Elettron Informaz & Bioingn, Milan, Italy..
CNR, Inst Elect Comp & Telecommun Engn, I-00185 Rome, Italy.;Politecn Milan, Milan, Italy..
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2016 (English)In: IEEE signal processing magazine (Print), ISSN 1053-5888, E-ISSN 1558-0792, Vol. 33, no 2, 45-58 p.Article in journal (Refereed) PublishedText
Abstract [en]

Wireless propagation is conventionally considered as the enabling tool for transporting information in digital communications. However, recent research has shown that the perturbations of the same electromagnetic (EM) fields that are adopted for data transmission can be used as a powerful sensing tool for device-free radio vision. Applications range from human body motion detection and localization to passive gesture recognition. In line with the current evolution of mobile phone sensing [1], radio terminals are not only ubiquitous communication interfaces, but they also incorporate novel or augmented sensing potential, capable of acquiring an accurate human-scale understanding of space and motion. This article shows how radio-frequency (RF) signals can be employed to provide a device-free environmental vision and investigates the detection and tracking capabilities for potential benefits in daily life.

Place, publisher, year, edition, pages
2016. Vol. 33, no 2, 45-58 p.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:uu:diva-288613DOI: 10.1109/MSP.2015.2496324ISI: 000372398000008OAI: oai:DiVA.org:uu-288613DiVA: diva2:926101
Available from: 2016-05-04 Created: 2016-04-28 Last updated: 2016-05-04Bibliographically approved

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