Respiration Detection of Sedentary Person Using Ubiquitous WiFi Signals

Ge, Y., Li, S., Zhu, S., Taha, A. , Cooper, J. , Imran, M. and Abbasi, Q. H. (2022) Respiration Detection of Sedentary Person Using Ubiquitous WiFi Signals. In: 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, Denver, CO, USA, 10-15 Jul 2022, pp. 872-873. ISBN 9781665496582 (doi: 10.1109/AP-S/USNC-URSI47032.2022.9886717)

Abstract

A sedentary lifestyle significantly influences the health of people. Accordingly, to avoid the risks of sudden respiratory illness, a continuous, effective, and inexpensive sensing system is vital. In this paper, we leverage commercial WiFi devices to deploy a respiration detection system for sedentary scenarios. Our results showed a median error, for one and two human subjects’ breathing detection, of 0.7 bpm and 1 bpm respectively.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Taha, Dr Ahmad and Ge, Yao and Li, Shibo and Abbasi, Professor Qammer and Imran, Professor Muhammad and Cooper, Professor Jonathan
• Authors: Ge, Y., Li, S., Zhu, S., Taha, A., Cooper, J., Imran, M., and Abbasi, Q. H.
• College/School: College of Science and Engineering; College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity; College of Science and Engineering > School of Engineering > Biomedical Engineering; College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
• ISSN: 1947-1491
• ISBN: 9781665496582
• Published Online: 21 September 2022
• Copyright Holders: Copyright © 2022 IEEE
• Publisher Policy: Reproduced in accordance with the publisher copyright policy

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