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Diversity-Enhanced Robust Device-Free Vital Signs Monitoring Using mmWave Signals

  • Jinyu Liu
  • , Jie Wang*
  • , Qinghua Gao
  • , Xuanheng Li
  • , Miao Pan
  • , Yuguang Fang
  • *Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

77 Downloads (CityUHK Scholars)

Abstract

Device-free vital signs monitoring is an emerging technology that utilizes the unique influence of chest vibrations on surrounding wireless signals to achieve vital signs monitoring in a device-free and contact-free manner. Existing methods could achieve good monitoring performance when high-quality reflected signals can be obtained. However, in daily vital signs monitoring at home, the received reflected signals are often very weak due to factors such as obstruction and attenuation, resulting in a sharp decrease in the monitoring performance. To address the aforementioned challenges, in this paper, we develop a diversity-enhanced robust device-free vital signs monitoring system using mmWave signals. Specifically, inspired by the concept of diversity in the field of communications, we propose a diversity-enhanced wireless sensing strategy that comprehensively utilizes multi-dimensional physical layer resources, including antennas, chirps, and space, to improve the signal-to-noise ratio of vital signs. Additionally, inspired by cameras that achieve clear images by prolonging exposure time, we propose an accumulation-enhanced localization method to lock onto the chest of the human body in complex scenarios. Extensive experiments on a 60GHz mmWave testbed demonstrate that our developed system could guarantee robust vital signs monitoring performance in various challenging scenarios, even at distances of up to 40m. © 2024 IEEE.
Original languageEnglish
Pages (from-to)12922-12937
JournalIEEE Transactions on Mobile Computing
Volume23
Issue number12
Online published25 Jun 2024
DOIs
Publication statusPublished - Dec 2024

Funding

This work was supported by National Natural Science Foundation of China under grant 62071081, Liaoning Province Natural Science Foundation under grant 2022-KF-12-10, Science and Technology Program of Liaoning Province under grants 2022JH1/10800100 and 2023JH2/101300199, 2021 Basic Scientific Research Project of Education Department of Liaoning Province under grant LJKZ0064, and Dalian Science and Technology Innovation Fund under grant 2022JJ12WZ057.

Research Keywords

  • Chirp
  • Device-free
  • diversity
  • Millimeter wave communication
  • mmWave signals
  • Monitoring
  • Radar
  • Sensors
  • Signal to noise ratio
  • vital signs monitoring
  • Wireless sensor networks

Publisher's Copyright Statement

  • COPYRIGHT TERMS OF DEPOSITED POSTPRINT FILE: © 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Liu, J., Wang, J., Gao, Q., Li, X., Pan, M., & Fang, Y. (2024). Diversity-Enhanced Robust Device-Free Vital Signs Monitoring Using mmWave Signals. IEEE Transactions on Mobile Computing, 23(12), 12922-12937. https://doi.org/10.1109/TMC.2024.3419005

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