short-paper

RMVS: Remote Monitoring of Vital Signs with mm-Wave Radar

Authors:

Peng JinAuthors Info & Claims

MORSE '22: Proceedings of the 1st ACM Workshop on AI Empowered Mobile and Wireless Sensing

Pages 1 - 6

https://doi.org/10.1145/3556558.3558578

Published: 13 February 2023 Publication History

Abstract

Indoor vital signs monitoring is beneficial for people's healthy life. However, the monitoring distance limits most existing mm-wave radar-based vital signs monitoring methods. Enhancing and analyzing the echo signal helps to improve the monitoring distance. In this work, we propose remote monitoring of vital signs with the mm-wave radar (RMVS) method to achieve long-range vital signs monitoring of indoor personnel. RMVS fully uses multiple antennas to characterize the reflected signal from the chest cavity. By overlaying the signals, the dynamic signal of vital signs is enhanced, and the ambient static clutter is suppressed. RMVS constructs the mapping relationship between distance and micro-Doppler by overlaying the Doppler information at different distances. It solves the problem of low accuracy of thoracic localization in the Line-of-Sight (LOS) and Non-Line-of-Sight (NLOS) paths by the traditional radar respiratory heartbeat monitoring method. It uses a new vital sign data extraction method to accurately discriminate vital sign data by the amplitude contribution of each frequency band. Experiments show that RMVS has a respiration monitoring error of less than 1.52 Beat Per Minute (BPM) within 3m.

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Cited By

Hao ZWang YLi FDing GGao Y(2024)mmWave-RM: A Respiration Monitoring and Pattern Classification System Based on mmWave RadarSensors10.3390/s2413431524:13(4315)Online publication date: 2-Jul-2024
https://doi.org/10.3390/s24134315
Karmakar PPradhan SChakraborty S(2024)Exploiting Air Quality Monitors to Perform Indoor Surveillance: Academic SettingAdjunct Proceedings of the 26th International Conference on Mobile Human-Computer Interaction10.1145/3640471.3680243(1-6)Online publication date: 21-Sep-2024
https://dl.acm.org/doi/10.1145/3640471.3680243

Index Terms

RMVS: Remote Monitoring of Vital Signs with mm-Wave Radar
1. Computer systems organization
  1. Embedded and cyber-physical systems

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cover image ACM Conferences

MORSE '22: Proceedings of the 1st ACM Workshop on AI Empowered Mobile and Wireless Sensing

October 2022

28 pages

ISBN:9781450395229

DOI:10.1145/3556558

Copyright © 2022 ACM.

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Published: 13 February 2023

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National Natural Science Foundation of China

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MORSE '22

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SIGMOBILE

MORSE '22: 1st ACM Workshop on AI Empowered Mobile and Wireless Sensing

October 21, 2022

NSW, Sydney, Australia

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Overall Acceptance Rate 8 of 11 submissions, 73%

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Cited By

Hao ZWang YLi FDing GGao Y(2024)mmWave-RM: A Respiration Monitoring and Pattern Classification System Based on mmWave RadarSensors10.3390/s2413431524:13(4315)Online publication date: 2-Jul-2024
https://doi.org/10.3390/s24134315
Karmakar PPradhan SChakraborty S(2024)Exploiting Air Quality Monitors to Perform Indoor Surveillance: Academic SettingAdjunct Proceedings of the 26th International Conference on Mobile Human-Computer Interaction10.1145/3640471.3680243(1-6)Online publication date: 21-Sep-2024
https://dl.acm.org/doi/10.1145/3640471.3680243

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