Li, W;
Bocus, M;
Tang, C;
Piechocki, R;
Woodbridge, K;
Chetty, K;
(2021)
On CSI and Passive WiFi Radar for Opportunistic Physical Activity Recognition.
IEEE Transactions on Wireless Communications
10.1109/TWC.2021.3098526.
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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.
| Type: | Article |
|---|---|
| Title: | On CSI and Passive WiFi Radar for Opportunistic Physical Activity Recognition |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/TWC.2021.3098526 |
| Publisher version: | https://doi.org/10.1109/TWC.2021.3098526 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. |
| Keywords: | Passive Wi-Fi Radar, Channel State Information, Doppler, Wireless Sensing |
| UCL classification: | UCL 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/10131266 |
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