Wi-Fi Signal Tracks Heartbeat Without Wearables
Researchers at UC Santa Cruz developed Pulse-Fi, a system that uses ambient Wi-Fi signals to monitor heart rate without wearables or cameras. The AI-powered approach runs on affordable devices like Raspberry Pi or ESP32 microcontrollers, filtering signal amplitude changes caused by heartbeats. Testing with over 100 participants showed less than 1.5 beats-per-minute error rate across various postures and distances up to 10 feet. The team is now working on multi-user support and exploring applications for sleep apnea and breathing rate monitoring.