Enabling Respiration Sensing via Commodity WiFi 6E Devices

Along with the advancement of WiFi technologies, commodity devices of WiFi 6E have now prevailed. In this paper, we conduct a wireless sensing task that utilizes WiFi 6E devices to monitor the respiration pattern of a human being. We discover new features, as well as their causes, in the channel state information (CSI) measured from WiFi 6E devices, which significantly differ from those in legacy IEEE 802.11n/ac/ax devices. As a result, directly applying conventional sensing techniques based on the CSI hardly yields satisfactory performance. In response, we propose a new method that effectively rectifies the measurement defects and recovers the targeted signal. We carry out extensive experiments, the results of which show that our approach substantially outperforms state-of-the-art benchmarks in sensing accuracy, verifying the effectiveness of our scheme.