Noncontact Respiration Detection Leveraging Music and Broadcast Signals
We design a respiration detection system which derives the respiration rate by continuously estimates the channel impulse response (CIR) using music signals played by smart devices such as smartspeakers. Extensive experiments are conducted to demonstrate the feasibility of our system. The result shows that our system can achieve high respiration detection accuracy with the mean error of less than 0.5 BPM when different music signals are used.