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)

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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 Imran, Professor Muhammad and Cooper, Professor Jonathan and Ge, Mr Yao and Li, Shibo and Abbasi, Dr Qammer
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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