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Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture covers the use of FMCW signals for wireless health monitoring, focusing on localization, vital sign extraction, and emotion recognition. By leveraging reflections and phase analysis, the system can track breathing and heart rates, even distinguishing between multiple users. The technique allows for health monitoring without wearable devices, with applications in baby monitoring, emotion recognition, and sleep tracking. The lecture also discusses the challenges of separating signals from static objects and the importance of phase analysis in achieving high-resolution vital sign extraction.