Passive radar for opportunistic monitoring in E-Health applications

Wenda Li (Lead / Corresponding author), Bo Tan, Robert Piechocki

Research output: Contribution to journalArticlepeer-review

64 Citations (Scopus)
19 Downloads (Pure)


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.
Original languageEnglish
Article number2800210
Number of pages10
JournalIEEE Journal of Translational Engineering in Health and Medicine
Publication statusPublished - 25 Jan 2018


Dive into the research topics of 'Passive radar for opportunistic monitoring in E-Health applications'. Together they form a unique fingerprint.

Cite this