Respiration detection of sedentary person using ubiquitous WiFi signals

Yao Ge; Shibo Li; Shuyuan Zhu; Ahmad Taha; Jonathan Cooper; Muhammad Imran; Qammer H. Abbasi

doi:10.1109/AP-S/USNC-URSI47032.2022.9886717

Respiration detection of sedentary person using ubiquitous WiFi signals

Yao Ge
, Shibo Li
, Shuyuan Zhu
, Ahmad Taha
, Jonathan Cooper
, Muhammad Imran
, Qammer H. Abbasi

University of Glasgow
University of Electronic Science and Technology of China

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	872-873
Number of pages	2
ISBN (Electronic)	9781665496582
DOIs	https://doi.org/10.1109/AP-S/USNC-URSI47032.2022.9886717
State	Published - 2022
Externally published	Yes
Event	2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Denver, United States Duration: 10 Jul 2022 → 15 Jul 2022

Publication series

Name	2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings

Conference

Conference	2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022
Country/Territory	United States
City	Denver
Period	10/07/22 → 15/07/22

Keywords

WiFi sensing
channel state information
vitals detection

Access to Document

10.1109/AP-S/USNC-URSI47032.2022.9886717

Cite this

Ge, Y., Li, S., Zhu, S., Taha, A., Cooper, J., Imran, M., & 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, AP-S/URSI 2022 - Proceedings (pp. 872-873). (2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AP-S/USNC-URSI47032.2022.9886717

Ge, Yao ; Li, Shibo ; Zhu, Shuyuan et al. / Respiration detection of sedentary person using ubiquitous WiFi signals. 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 872-873 (2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings).

@inproceedings{ec1ddc6b405c4161a02bbacb6da6dd4b,

title = "Respiration detection of sedentary person using ubiquitous WiFi signals",

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.",

keywords = "WiFi sensing, channel state information, vitals detection",

author = "Yao Ge and Shibo Li and Shuyuan Zhu and Ahmad Taha and Jonathan Cooper and Muhammad Imran and Abbasi, \{Qammer H.\}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 ; Conference date: 10-07-2022 Through 15-07-2022",

year = "2022",

doi = "10.1109/AP-S/USNC-URSI47032.2022.9886717",

language = "English",

series = "2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "872--873",

booktitle = "2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings",

address = "United States",

}

Ge, Y, Li, S, Zhu, S, Taha, A, Cooper, J, Imran, M & Abbasi, QH 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, AP-S/URSI 2022 - Proceedings. 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 872-873, 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022, Denver, United States, 10/07/22. https://doi.org/10.1109/AP-S/USNC-URSI47032.2022.9886717

Respiration detection of sedentary person using ubiquitous WiFi signals. / Ge, Yao; Li, Shibo; Zhu, Shuyuan et al.
2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. p. 872-873 (2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Respiration detection of sedentary person using ubiquitous WiFi signals

AU - Ge, Yao

AU - Li, Shibo

AU - Zhu, Shuyuan

AU - Taha, Ahmad

AU - Cooper, Jonathan

AU - Imran, Muhammad

AU - Abbasi, Qammer H.

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - WiFi sensing

KW - channel state information

KW - vitals detection

UR - https://www.scopus.com/pages/publications/85139754446

U2 - 10.1109/AP-S/USNC-URSI47032.2022.9886717

DO - 10.1109/AP-S/USNC-URSI47032.2022.9886717

M3 - Conference contribution

AN - SCOPUS:85139754446

T3 - 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings

SP - 872

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BT - 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022

Y2 - 10 July 2022 through 15 July 2022

ER -

Ge Y, Li S, Zhu S, Taha A, Cooper J, Imran M et al. Respiration detection of sedentary person using ubiquitous WiFi signals. In 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2022. p. 872-873. (2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings). doi: 10.1109/AP-S/USNC-URSI47032.2022.9886717

Respiration detection of sedentary person using ubiquitous WiFi signals

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Keywords

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