Abstract
The continuous development of 802.11ad technology provides new opportunities in wireless sensing. In this work, we propose ViMo, a calibration-free remote Vital sign Monitoring system that can detect stationary/non-stationary users and estimate the respiration rates (RRs) as well as heart rates (HRs) built upon a commercial 60GHz WiFi. The design of ViMo consists of two key components. First, we design an adaptive object detector that can identify static objects, stationary human subjects and human in motion without any calibration. Second, we devise a robust HR estimator, which eliminates the respiration signal from the phase of the channel impulse response (CIR) to remove the interference of the harmonics from breathing and adopts dynamic programming (DP) to resist the random measurement noise. The influence of different settings, including the distance between human and the device, user orientation and incidental angle, blockage material, body movement and conditions of multi-user separation are investigated by extensive experiments. Experimental results show that ViMo monitors user’s vital signs accurately, with a median error of 0.19 BPM and 0.92 BPM, respectively, for RR and HR estimation.

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