UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Passive Radar for Opportunistic Monitoring in E-Health Applications

Li, W; Tan, B; Piechocki, R; (2018) Passive Radar for Opportunistic Monitoring in E-Health Applications. IEEE Journal of Translational Engineering in Health and Medicine , 6 , Article 2800210. 10.1109/JTEHM.2018.2791609. Green open access

[img]
Preview
Text
08269297.pdf - Published version

Download (6MB) | Preview

Abstract

This paper proposes a passive Doppler radar as a non-contact sensing method to capture human body movements, recognize respiration, and physical activities in e-Health applications. The system uses existing in-home wireless signal as the source to interpret human activity. This paper shows that passive radar is a novel solution for multiple healthcare applications which complements traditional smart home sensor systems. An innovative two-stage signal processing framework is outlined to enable the multi-purpose monitoring function. The first stage is to obtain premier Doppler information by using the high speed passive radar signal processing. The second stage is the functional signal processing including micro Doppler extraction for breathing detection and support vector machine classifier for physical activity recognition. The experimental results show that the proposed system provides adequate performance for both purposes, and prove that non-contact passive Doppler radar is a complementary technology to meet the challenges of future healthcare applications.

Type: Article
Title: Passive Radar for Opportunistic Monitoring in E-Health Applications
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/JTEHM.2018.2791609
Publisher version: https://doi.org/10.1109/JTEHM.2018.2791609
Language: English
Additional information: Open Access: This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/
Keywords: Passive sensing , opportunistic sensing , doppler radar , e-health , breathing detection , activity recognition
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Security and Crime Science
URI: https://discovery.ucl.ac.uk/id/eprint/10066583
Downloads since deposit
66Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item