Novel Contactless Sensing Technique for Real-time Human Activity Detection

Taylor, W., Taha, A. , Tahir, A., Shah, S. A. , Abbasi, Q. H. and Imran, M. A. (2022) Novel Contactless Sensing Technique for Real-time Human Activity Detection. In: 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, Denver, CO, USA, 10-15 Jul 2022, pp. 1562-1563. ISBN 9781665496582 (doi: 10.1109/AP-S/USNC-URSI47032.2022.9886894)

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Recent research has looked to implement real-time contactless sensing within a healthcare application which can pro-vide monitoring of vulnerable people living at home. Currently systems make use of wearable devices to achieve this but this requires users to always be wearing devices. This paper presents a real-time contactless system which makes use of radio frequency signal propagation to determine if a person is sitting or standing. This is achieved by observing incoming channel state information to detect movements and passing detected movements to an AI model that can predict sitting or standing motions from changes the signal amplitude described in the channel state information. The system is able to make accurate real-time classifications in multiple environments.

Item Type:Conference Proceedings
Additional Information:William Taylor’s studentship is funded by CENSIS UK through the Scottish funding council in collaboration with British Telecom. This work is supported in parts by EPSRC EP/T021020/1 and EP/T021063/1
Glasgow Author(s) Enlighten ID:Taha, Dr Ahmad and Tahir, Dr Ahsen and Imran, Professor Muhammad and Taylor, Mr William and Abbasi, Dr Qammer and Shah, Mr Syed
Authors: Taylor, W., Taha, A., Tahir, A., Shah, S. A., Abbasi, Q. H., and Imran, M. A.
College/School:College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
College of Science and Engineering > School of Engineering > Systems Power and Energy
Published Online:21 September 2022
Copyright Holders:Copyright © 2022 IEEE
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher
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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
307829Quantum-Inspired Imaging for Remote Monitoring of Health & Disease in Community HealthcareJonathan CooperEngineering and Physical Sciences Research Council (EPSRC)EP/T021020/1ENG - Biomedical Engineering