Human Skeleton Estimation using Single WiFi Device
While the literature contains a substantial amount of work on WiFi CSI-based human recognition, existing approaches face two key limitations: i) they require at least two devices (one transmitter and one receiver); and ii) the phase information over time is not coherent. In this project, we developed a new hardware component for WiFi devices that enables a single WiFi device to detect human body boundaries. The accompanying video demonstrates how a single WiFi device can identify human skeletons in a dynamic scene.
The key features of our design include: (i) human skeleton esetimation using a single WiFi device, (ii) no channel state information (CSI) required, (iii) radar-like sensing (phase-coherent sensing), and (iv) integrated hardware and software design.
The key features of our design include: (i) human skeleton esetimation using a single WiFi device, (ii) no channel state information (CSI) required, (iii) radar-like sensing (phase-coherent sensing), and (iv) integrated hardware and software design.
Heartbeat and breathing rate detection using 6GHz FMCW radar
Ubiquitous sensing technologies enable smart home environments to monitor individuals' health status in their daily lives. In this project, we developed a 6 GHz FMCW radar system capable of measuring heartbeat and breathing rate in a contactless manner. Our system leverages the fact that radio signals are influenced by inhaling and exhaling motions, as well as the skin vibrations caused by heartbeats. The accompanying video demonstrates our system's ability to measure heartbeats and breathing rates in real time.
The key features of our design include: (i) real-time measurement of heartbeat and breathing rate, (ii) integrated hardware and software design, and (iii) dedicated signal processing pipeline.
The key features of our design include: (i) real-time measurement of heartbeat and breathing rate, (ii) integrated hardware and software design, and (iii) dedicated signal processing pipeline.