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, (Accepted for Publication)

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, (Accepted for Publication)

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Abstract

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
Status:Accepted for Publication
Refereed:Yes
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
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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