Recent years have witnessed a surge of in-home monitoring and sensing systems. They promise to change healthcare as we know it by continuously monitoring patients at home. Yet, despite all of the interest and effort that has gone into designing these systems, their capabilities are rudimentary and long term retention rates remain low. One of the main reasons for this is that they require the user to either wear or interact with the sensor in order to work effectively. This thesis designs and develops a non-contact in-home health monitoring system that addresses many of the challenges faced by systems today enabling novel applications in both in-home monitoring and healthcare. This system is enabled by innovations in hardware design, signal processing and software algorithms.
Thesis Supervisor: Dina Katabi
Thesis Committee: Charlie Sodini and Vivienne Sze