Abstract
Summary form only given, as follows. A complete record of the panel discussion was not made available for publication as part of the conference proceedings. In this talk, I will present sensing technologies that track people’s gait and movements based purely on the radio signals that bounce off their bodies. They can further monitor a person’s breathing, heartbeats, and sleep quality remotely, without requiring any physical contact with the human body. They operate by transmitting a low-power wireless signal and analyzing its reflections using machine learning models. We show results from using these sensors for remote health monitoring of patients with Parkinson’s, Alzheimer’s, and COVID-19. We envision that such technologies can enable truly smart homes that learn people’s habits and passively monitor their vital signs to allow for early detection of health problems and improve overall health and well-being.
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