Flexible and scalable software defined radio based testbed for large scale body movement

Ashleibta, A. M., Zahid, A., Shah, S. A. , Abbasi, Q. H. and Imran, M. A. (2020) Flexible and scalable software defined radio based testbed for large scale body movement. Electronics, 9(9), 1354. (doi: 10.3390/electronics9091354)

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Abstract

Human activity (HA) sensing is becoming one of the key component in future healthcare system. The prevailing detection techniques for IHA uses ambient sensors, cameras and wearable devices that primarily require strenuous deployment overheads and raise privacy concerns as well. This paper proposes a novel, non-invasive, easily-deployable, flexible and scalable test-bed for identifying large-scale body movements based on Software Defined Radios (SDRs). Two Universal Software Radio Peripheral (USRP) models, working as SDR based transceivers, are used to extract the Channel State Information (CSI) from continuous stream of multiple frequency subcarriers. The variances of amplitude information obtained from CSI data stream are used to infer daily life activities. Different machine learning algorithms namely K-Nearest Neighbour, Decision Tree, Discriminant Analysis and Naïve Bayes are used to evaluate the overall performance of the test-bed. The training, validation and testing processes are performed by considering the time-domain statistical features obtained from CSI data. The K-nearest neighbour outperformed all aforementioned classifiers, providing an accuracy of 89.73%. This preliminary non-invasive work will open a new direction for design of scalable framework for future healthcare systems.

Item Type:Articles
Additional Information:This work is supported in parts by EPSRC EP/T021020/1 and EP/T021063/1.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Abbasi, Dr Qammer and Imran, Professor Muhammad and Zahid, Mr Adnan and Shah, Mr Syed and Ashleibta, Aboajeila Milad Abdulhadi
Creator Roles:
Ashleibta, A. M.Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Resources, Writing – review and editing
Zahid, A.Conceptualization, Resources, Writing – review and editing
Shah, S. A.Conceptualization, Methodology, Software, Validation, Investigation, Resources, Writing – review and editing
Abbasi, Q. H.Conceptualization, Resources, Writing – review and editing, Funding acquisition
Imran, M. A.Conceptualization, Resources, Writing – review and editing, Funding acquisition
Authors: Ashleibta, A. M., Zahid, A., Shah, S. A., Abbasi, Q. H., and Imran, M. A.
College/School:College of Science and Engineering > School of Engineering
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:Electronics
Publisher:MDPI
ISSN:2079-9292
ISSN (Online):2079-9292
Published Online:20 August 2020
Copyright Holders:Copyright © 2020 The Authors
First Published:First published in Electronics 9(9): 1354
Publisher Policy:Reproduced under a Creative Commons License

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
Quantum Imaging for Monitoring of Wellbeing & Disease in CommunitiesJonathan CooperEngineering and Physical Sciences Research Council (EPSRC)EP/T021020/1