RF Based Real Time Human Motion Sensing

William Taylor; Ahmad Taha; Kia Dashtipour; Syed Aziz Shah; Qammer H. Abbasi; Muhammad Ali Imran

doi:10.1109/aps/ursi47566.2021.9703954

RF Based Real Time Human Motion Sensing

William Taylor, Ahmad Taha, Kia Dashtipour, Syed Aziz Shah, Qammer H. Abbasi, Muhammad Ali Imran

Research Centre for Intelligent Healthcare

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

Abstract

Recent research has shown that the propagation of Radio Frequencies signals is affected by human movements taking place between the RF transmitter and receiver antennas. Artificial intelligence has been widely used to classify the patterns of signal propagation. With the help of a universal software radio peripheral device, a system was developed based on a real-time machine learning classification algorithm to ensure alerts of incidents are received in a timely manner. The machine learning model was built to distinguish between “No Activity” and “Movement” status of a single human subject. The model recorded a high classification accuracy of 97.8 % which enabled an accurate classification of new data in real-time.

Original language	English
Title of host publication	2021 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, APS/URSI 2021 - Proceedings
Publisher	IEEE
Pages	2044-2045
Number of pages	2
ISBN (Electronic)	978-1-7281-4670-6
DOIs	https://doi.org/10.1109/aps/ursi47566.2021.9703954
Publication status	Published - 16 Feb 2022
Event	2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting - Singapore, Singapore Duration: 4 Dec 2021 → 10 Dec 2021 https://2021apsursi.org/

Publication series

Name	2021 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, APS/URSI 2021 - Proceedings

Conference

Conference	2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting
Abbreviated title	APS/URSI
Country/Territory	Singapore
City	Singapore
Period	4/12/21 → 10/12/21
Internet address	https://2021apsursi.org/

Bibliographical note

Funding Information:
V. ACKNOWLEDGEMENT William Taylor’s studentship is funded by CENSIS UK through Scottish funding council in collaboration with British Telecom. This work is supported in parts by EPSRC EP/T021020/1 and EP/T021063/1

Publisher Copyright:
© 2021 IEEE.

Keywords

Human motion detection
Channel State Information
RF signals
Machine Learning
Real-time

Access to Document

10.1109/aps/ursi47566.2021.9703954

Cite this

Taylor, W., Taha, A., Dashtipour, K., Shah, S. A., Abbasi, Q. H., & Imran, M. A. (2022). RF Based Real Time Human Motion Sensing. In 2021 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, APS/URSI 2021 - Proceedings (pp. 2044-2045). (2021 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, APS/URSI 2021 - Proceedings). IEEE. https://doi.org/10.1109/aps/ursi47566.2021.9703954

RF Based Real Time Human Motion Sensing. / Taylor, William; Taha, Ahmad; Dashtipour, Kia; Shah, Syed Aziz; Abbasi, Qammer H.; Imran, Muhammad Ali.

2021 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, APS/URSI 2021 - Proceedings. IEEE, 2022. p. 2044-2045 (2021 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, APS/URSI 2021 - Proceedings).

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

Taylor, W, Taha, A, Dashtipour, K, Shah, SA, Abbasi, QH & Imran, MA 2022, RF Based Real Time Human Motion Sensing. in 2021 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, APS/URSI 2021 - Proceedings. 2021 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, APS/URSI 2021 - Proceedings, IEEE, pp. 2044-2045, 2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, Singapore, Singapore, 4/12/21. https://doi.org/10.1109/aps/ursi47566.2021.9703954

Taylor W, Taha A, Dashtipour K, Shah SA, Abbasi QH, Imran MA. RF Based Real Time Human Motion Sensing. In 2021 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, APS/URSI 2021 - Proceedings. IEEE. 2022. p. 2044-2045. (2021 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, APS/URSI 2021 - Proceedings). https://doi.org/10.1109/aps/ursi47566.2021.9703954

Taylor, William ; Taha, Ahmad ; Dashtipour, Kia ; Shah, Syed Aziz ; Abbasi, Qammer H. ; Imran, Muhammad Ali. / RF Based Real Time Human Motion Sensing. 2021 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, APS/URSI 2021 - Proceedings. IEEE, 2022. pp. 2044-2045 (2021 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, APS/URSI 2021 - Proceedings).

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RF Based Real Time Human Motion Sensing

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Keywords

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