On CSI and Passive Wi-Fi Radar for Opportunistic Physical Activity Recognition

Wenda Li, Mohammud J. Bocus, Chong Tang, Robert J. Piechocki, Karl Woodbridge, Kevin Chetty

Research output: Contribution to journalArticle (Academic Journal)peer-review

Abstract

The use of Wi-Fi signals for human sensing has gained significant interest over the past decade. Such techniques provide affordable and reliable solutions for healthcare-focused events such as vital sign detection, prevention of falls and long-term monitoring of chronic diseases, among others. Currently, there are two major approaches for Wi-Fi sensing: (1) passive Wi-Fi radar (PWR) which uses well established techniques from bistatic radar, and channel state information (CSI) based wireless sensing (SENS) which exploits human-induced variations in the communication channel between a pair of transmitter and receiver. However, there has not been a comprehensive study to understand and compare the differences in terms of effectiveness and limitations in real-world deployment. In this paper, we present the fundamentals of the two systems with associated methodologies and signal processing. A thorough measurement campaign was carried out to evaluate the human activity detection performance of both systems. Experimental results show that SENS system provides better detection performance in a line-of-sight (LoS) condition, whereas PWR system performs better in a non-LoS (NLoS) setting. Furthermore, based on our findings, we recommend that future Wi-Fi sensing applications should leverage the advantages from both PWR and SENS systems.

Original languageEnglish
Pages (from-to)1-13
Number of pages13
JournalIEEE Transactions on Wireless Communications
DOIs
Publication statusAccepted/In press - 27 Jul 2021

Bibliographical note

Publisher Copyright:
IEEE

Keywords

  • Channel State Information
  • Doppler
  • Passive Wi-Fi Radar
  • Wireless Sensing

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