ComplexBeat: Breathing Rate Estimation from Complex CSI
In this paper, we explore the use of channel state information (CSI) from a WiFi system to estimate the breathing rate of a person in a room. In order to extract WiFi CSI components that are sensitive to breathing, we propose to consider the delay domain channel impulse response (CIR), while most state-of-the-art methods consider its frequency domain representation. One obstacle while processing the CSI data is that its amplitude and phase are highly distorted by measurement uncertainties. We thus also propose an amplitude calibration method and a phase offset calibration method for CSI measured in orthogonal frequency-division multiplexing (OFDM) multiple-input multiple-output (MIMO) systems. Finally, we implement a complete breathing rate estimation system in order to showcase the effectiveness of our proposed calibration and CSI extraction methods.
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Li, S., Kristensen, A. T., Burg, A., & Balatsoukas-Stimming, A. (2021). ComplexBeat: Breathing Rate Estimation from Complex CSI. 2021 Ieee Workshop on Signal Processing Systems (Sips 2021), IEEE Workshop on Signal Processing Systems, 217–222. https://doi.org/10.1109/SiPS52927.2021.00046
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WOS:000783958100038
2021-01-01
New York
978-1-6654-0144-9
IEEE Workshop on Signal Processing Systems
217
222
REVIEWED
EPFL
| Event name | Event place | Event date |
Coimbra, PORTUGAL | Oct 19-21, 2021 | |