Radar Sensing in Healthcare: Challenges and Achievements in Human Activity Classification & Vital Signs Monitoring

Francesco Fioranelli; Ronny G. Guendel; Nicolas C. Kruse; Alexander Yarovoy

doi:10.1007/978-3-031-34960-7_35

Radar Sensing in Healthcare: Challenges and Achievements in Human Activity Classification & Vital Signs Monitoring

Francesco Fioranelli^*, Ronny G. Guendel, Nicolas C. Kruse, Alexander Yarovoy

^*Corresponding author for this work

Microwave Sensing, Signals & Systems

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

1 Citation (Scopus)

19 Downloads (Pure)

Abstract

Driven by its contactless sensing capabilities and the lack of optical images being recorded, radar technology has been recently investigated in the context of human healthcare. This includes a broad range of applications, such as human activity classification, fall detection, gait and mobility analysis, and monitoring of vital signs such as respiration and heartbeat. In this paper, a review of notable achievements in these areas and open research challenges is provided, showing the potential of radar sensing for human healthcare and assisted living.

Original language	English
Title of host publication	Bioinformatics and Biomedical Engineering - 10th International Work-Conference, IWBBIO 2023, Proceedings
Editors	Ignacio Rojas, Olga Valenzuela, Fernando Rojas Ruiz, Luis Javier Herrera, Francisco Ortuño
Publisher	Springer
Pages	492-504
Number of pages	13
ISBN (Print)	9783031349591
DOIs	https://doi.org/10.1007/978-3-031-34960-7_35
Publication status	Published - 2023
Event	10th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2023 - Meloneras, Spain Duration: 12 Jul 2023 → 14 Jul 2023

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13920 LNBI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	10th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2023
Country/Territory	Spain
City	Meloneras
Period	12/07/23 → 14/07/23

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

human activity classification
machine learning
Radar sensing
radar signal processing
vital signs monitoring

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-031-34960-7_35

978-3-031-34960-7_35Final published version, 1.99 MB

Cite this

Fioranelli, F., Guendel, R. G., Kruse, N. C., & Yarovoy, A. (2023). Radar Sensing in Healthcare: Challenges and Achievements in Human Activity Classification & Vital Signs Monitoring. In I. Rojas, O. Valenzuela, F. Rojas Ruiz, L. J. Herrera, & F. Ortuño (Eds.), Bioinformatics and Biomedical Engineering - 10th International Work-Conference, IWBBIO 2023, Proceedings (pp. 492-504). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13920 LNBI). Springer. https://doi.org/10.1007/978-3-031-34960-7_35

Fioranelli, Francesco ; Guendel, Ronny G. ; Kruse, Nicolas C. et al. / Radar Sensing in Healthcare : Challenges and Achievements in Human Activity Classification & Vital Signs Monitoring. Bioinformatics and Biomedical Engineering - 10th International Work-Conference, IWBBIO 2023, Proceedings. editor / Ignacio Rojas ; Olga Valenzuela ; Fernando Rojas Ruiz ; Luis Javier Herrera ; Francisco Ortuño. Springer, 2023. pp. 492-504 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Driven by its contactless sensing capabilities and the lack of optical images being recorded, radar technology has been recently investigated in the context of human healthcare. This includes a broad range of applications, such as human activity classification, fall detection, gait and mobility analysis, and monitoring of vital signs such as respiration and heartbeat. In this paper, a review of notable achievements in these areas and open research challenges is provided, showing the potential of radar sensing for human healthcare and assisted living.",

keywords = "human activity classification, machine learning, Radar sensing, radar signal processing, vital signs monitoring",

author = "Francesco Fioranelli and Guendel, {Ronny G.} and Kruse, {Nicolas C.} and Alexander Yarovoy",

note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – 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. ; 10th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2023 ; Conference date: 12-07-2023 Through 14-07-2023",

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Fioranelli, F , Guendel, RG , Kruse, NC & Yarovoy, A 2023, Radar Sensing in Healthcare: Challenges and Achievements in Human Activity Classification & Vital Signs Monitoring. in I Rojas, O Valenzuela, F Rojas Ruiz, LJ Herrera & F Ortuño (eds), Bioinformatics and Biomedical Engineering - 10th International Work-Conference, IWBBIO 2023, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13920 LNBI, Springer, pp. 492-504, 10th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2023, Meloneras, Spain, 12/07/23. https://doi.org/10.1007/978-3-031-34960-7_35

Radar Sensing in Healthcare: Challenges and Achievements in Human Activity Classification & Vital Signs Monitoring. / Fioranelli, Francesco ; Guendel, Ronny G.; Kruse, Nicolas C. et al.
Bioinformatics and Biomedical Engineering - 10th International Work-Conference, IWBBIO 2023, Proceedings. ed. / Ignacio Rojas; Olga Valenzuela; Fernando Rojas Ruiz; Luis Javier Herrera; Francisco Ortuño. Springer, 2023. p. 492-504 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13920 LNBI).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AU - Guendel, Ronny G.

AU - Kruse, Nicolas C.

AU - Yarovoy, Alexander

N1 - 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.

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AB - Driven by its contactless sensing capabilities and the lack of optical images being recorded, radar technology has been recently investigated in the context of human healthcare. This includes a broad range of applications, such as human activity classification, fall detection, gait and mobility analysis, and monitoring of vital signs such as respiration and heartbeat. In this paper, a review of notable achievements in these areas and open research challenges is provided, showing the potential of radar sensing for human healthcare and assisted living.

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Fioranelli F , Guendel RG , Kruse NC , Yarovoy A. Radar Sensing in Healthcare: Challenges and Achievements in Human Activity Classification & Vital Signs Monitoring. In Rojas I, Valenzuela O, Rojas Ruiz F, Herrera LJ, Ortuño F, editors, Bioinformatics and Biomedical Engineering - 10th International Work-Conference, IWBBIO 2023, Proceedings. Springer. 2023. p. 492-504. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-34960-7_35