Radar sensing for human healthcare: Challenges and results

Francesco Fioranelli, Julien Le Kernec

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

In this paper, radar sensing in the domain of human healthcare is discussed, specifically looking at the typical applications of human activity classification (including fall detection), gait analysis and gait parameters extraction, and vital signs monitoring such as respiration and heartbeat. A brief overview of open research challenges and trends in this domain are provided, showing that radar sensors and sensing can play a significant role in the domain of human healthcare.
Original languageEnglish
Title of host publication2021 IEEE Sensors
Subtitle of host publicationProceedings
Place of PublicationPiscataway
PublisherIEEE
Pages1-4
Number of pages4
ISBN (Electronic)978-1-7281-9501-8
ISBN (Print)978-1-7281-9502-5
DOIs
Publication statusPublished - 2021
Event2021 IEEE Sensors - Online at Sydney, Australia
Duration: 31 Oct 20213 Nov 2021

Conference

Conference2021 IEEE Sensors
CountryAustralia
CityOnline at Sydney
Period31/10/213/11/21

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care

Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

  • radar sensing
  • radar signal processing
  • machine learning
  • human activity classification

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