RFID-Based Vital Sign Monitoring Under Motion Using Physics-Informed Generative Models
Conference
Wang, N, Wang, Y, Zhao, T et al. (2025). RFID-Based Vital Sign Monitoring Under Motion Using Physics-Informed Generative Models
. 28-36. 10.1109/MASS66014.2025.00018
Wang, N, Wang, Y, Zhao, T et al. (2025). RFID-Based Vital Sign Monitoring Under Motion Using Physics-Informed Generative Models
. 28-36. 10.1109/MASS66014.2025.00018
Wireless signals are widely used for human sensing, but they require devices and targets to remain stationary, especially for fine-grained motions like respiration. To enable vital sign monitoring under motion using RFID, we employ dual tags to create a relative coordinate system that reduces motion interference. We also propose physics-informed generative models with frequency domain constraints to improve noise reduction, capturing both time and frequency features. Our method, tested across dynamic scenarios including walking, treadmill exercises, and driving and validated using real patient data, demonstrates superior performance compared to traditional approaches in accurately matching real respiratory signals and exhibits robustness against time shifts.
