Research Topic: Model and Algorithms for Human Sensing and Gesture Recognition using Wireless Networks
Master Degree: Electrical and Information Technology, Technical University of Munich (TUM), Germany
Supervisor: Prof. Monica Nicoli, Prof. Mattia Brambilla
Description: This topic is about to design integrated multi-human shape, pose, gesture/gait recognition algorithm exploiting enhanced angular resolution offered by mmWave MIMO offered by next-generation wireless systems. We will use channel state information using passiv sensing technique with respect to OFDM signal on the "golden band" in 6G network, saying the upper-mid band. After extracting the sparse signal of different human pose scenarios, the next step is to extend to multi-person scenarios using RISs and multi-links to provide more field of view (FoV). Expected results are documented characterization of body-part hence pose-dependent EM scattering as well as ray tracing with human body, and design of an efficient model-driven human pose estimation algorithm.