5G-enabled contactless multi-user presence and activity detection for independent assisted living

Ashleibta, A. M., Taha, A. , Khan, M. A., Taylor, W., Tahir, A., Zoha, A. , Abbasi, Q. H. and Imran, M. A. (2021) 5G-enabled contactless multi-user presence and activity detection for independent assisted living. Scientific Reports, 11, 17590. (doi: 10.1038/s41598-021-96689-7) (PMID:34475439) (PMCID:PMC8413293)

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Abstract

Wireless sensing is the state-of-the-art technique for next generation health activity monitoring. Smart homes and healthcare centres have a demand for multi-subject health activity monitoring to cater for future requirements. 5G-sensing coupled with deep learning models has enabled smart health monitoring systems, which have the potential to classify multiple activities based on variations in channel state information (CSI) of wireless signals. Proposed is the first 5G-enabled system operating at 3.75 GHz for multi-subject, in-home health activity monitoring, to the best of the authors’ knowledge. Classified are activities of daily life performed by up to 4 subjects, in 16 categories. The proposed system combines subject count and activities performed in different classes together, resulting in simultaneous identification of occupancy count and activities performed. The CSI amplitudes obtained from 51 subcarriers of the wireless signal are processed and combined to capture variations due to simultaneous multi-subject movements. A deep learning convolutional neural network is engineered and trained on the CSI data to differentiate multi-subject activities. The proposed system provides a high average accuracy of 91.25% for single subject movements and an overall high multi-class accuracy of 83% for 4 subjects and 16 classification categories. The proposed system can potentially fulfill the needs of future in-home health activity monitoring and is a viable alternative for monitoring public health and well being.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Zoha, Dr Ahmed and Tahir, Mr Ahsen and Khan, Dr Muhammad Aurang and Ashleibta, Aboajeila Milad Abdulhadi and Taha, Dr Ahmad and Abbasi, Dr Qammer and Imran, Professor Muhammad and Taylor, William
Creator Roles:
Ashleibta, A. M.Conceptualization, Methodology, Investigation, Data curation, Writing – original draft, Writing – review and editing
Taha, A.Conceptualization, Methodology, Validation, Investigation, Data curation, Writing – original draft, Writing – review and editing, Visualization, Project administration
Khan, M. A.Conceptualization, Methodology, Formal analysis, Software, Data curation, Writing – original draft, Writing – review and editing, Visualization
Taylor, W.Methodology, Formal analysis, Investigation, Software, Data curation, Visualization
Tahir, A.Validation, Formal analysis, Software, Writing – original draft, Writing – review and editing
Zoha, A.Writing – review and editing
Abbasi, Q. H.Conceptualization, Methodology, Validation, Resources, Writing – review and editing, Supervision, Project administration, Funding acquisition
Imran, M. A.Validation, Resources, Supervision, Project administration, Funding acquisition
Authors: Ashleibta, A. M., Taha, A., Khan, M. A., Taylor, W., Tahir, A., Zoha, A., Abbasi, Q. H., and Imran, M. A.
College/School:College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:Scientific Reports
Publisher:Nature Research
ISSN:2045-2322
ISSN (Online):2045-2322
Copyright Holders:Copyright © 2021 The Authors
First Published:First published in Scientific Reports 11: 17590
Publisher Policy:Reproduced under a Creative Commons License
Data DOI:10.5525/gla.researchdata.1151

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
304896EPSRC-IAA: Early Stage Commercialisation of a PET Imaging Agent for the Detection of Cardiovascular Disease and CancerAndrew SutherlandEngineering and Physical Sciences Research Council (EPSRC)EP/R511705/1Chemistry
307829Quantum-Inspired Imaging for Remote Monitoring of Health & Disease in Community HealthcareJonathan CooperEngineering and Physical Sciences Research Council (EPSRC)EP/T021020/1ENG - Biomedical Engineering
307826COG-MHEAR: Towards cognitiveky-inspired 5G-IoT enabled, multi-modal Hearing AidsQammer H AbbasiEngineering and Physical Sciences Research Council (EPSRC)EP/T021063/1ENG - Systems Power & Energy