Radar Sensing in Assisted Living: An Overview

Le Kernec, J. , Fioranelli, F. , Ding, C., Zhao, H., Sun, L., Hong, H., Romain, O. and Lorandel, J. (2019) Radar Sensing in Assisted Living: An Overview. In: IEEE MTT-S 2019 International Microwave Biomedical Conference (IMBioC2019), Nanjing, China, 6-8 May 2019, ISBN 9781538673959 (doi: 10.1109/IMBIOC.2019.8777748)

178871.pdf - Accepted Version



This paper gives an overview of trends in radar sensing for assisted living. It focuses on signal processing and classification, looking at conventional approaches, deep learning and fusion techniques. The last section shows examples of classification in human activity recognition and medical applications, e.g. breathing disorder and sleep stages recognition.

Item Type:Conference Proceedings
Glasgow Author(s) Enlighten ID:Fioranelli, Dr Francesco and Le Kernec, Dr Julien
Authors: Le Kernec, J., Fioranelli, F., Ding, C., Zhao, H., Sun, L., Hong, H., Romain, O., and Lorandel, J.
College/School:College of Science and Engineering > School of Engineering > Systems Power and Energy
Copyright Holders:Copyright © 2019 IEEE
Publisher Policy:Reproduced in accordance with the publisher copyright policy
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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
3015260Intelligent RF Sensing for Fall and Health PredictionFrancesco FioranelliEngineering and Physical Sciences Research Council (EPSRC)EP/R041679/1ENG - Systems Power & Energy