Radar Sensing in Healthcare

Challenges and Achievements in Human Activity Classification & Vital Signs Monitoring

Conference paper (2023)

Authors

F. Fioranelli Microwave Sensing, Signals & Systems - EEMCS
Ronny Guendel Microwave Sensing, Signals & Systems - EEMCS
N.C. Kruse Microwave Sensing, Signals & Systems - EEMCS
Alexander Yarovoy Microwave Sensing, Signals & Systems - EEMCS
Research Group
Microwave Sensing, Signals & Systems (EEMCS) (TU Delft)
Copyright: © 2023 F. Fioranelli, Ronny Guendel, N.C. Kruse, Alexander Yarovoy
DOI
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https://doi.org/10.1007/978-3-031-34960-7_35
Machine learning Radar signal processing Vital signs monitoring Human activity classification Radar sensing
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Published Date

2023

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Microelectronics

Research Group

Microwave Sensing, Signals & Systems

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.