Health Monitoring with Wireless Sensors and Machine Learning

Explore the Emerald system, a groundbreaking technology that combines wireless sensing and machine learning for touchless health monitoring in this conference talk. Learn how this innovative system uses low-power radio signals transmitted from a home device to record reflections and process the data through cloud-based neural network algorithms. Discover how the technology can infer human movements, breathing patterns, heart rates, and sleep stages without requiring individuals to wear any sensors. Understand the system's capability to continuously monitor physiological signals over months to automatically detect changes in health conditions. Examine the underlying wireless sensing technology and neural network processing methods that enable this non-invasive monitoring approach. Review practical applications of the Emerald system in clinical drug trials and see real-world examples of how continuous, touchless health monitoring can be implemented in residential settings.