Exploiting Millimeter-Wave Radars to Enable Accurate Gesture Recognition for the Metaverse Environment

This contribution aims to demonstrate the potential of highly integrated millimeter-wave radars in the framework of metaverse applications. In detail, a 122 GHz radar is mounted on glass frames, with the task to detect hand gestures, thus enabling more immersive and interactive user experiences. Current metaverse glasses exploit camera sensor to recognize the user gestures. The proposed system has the purpose to overcome the known limitations of the current camera-based technology, mainly due to the poor radial range detection accuracy and performance dependance on the light conditions. In this contribution, some gestures whereby a camera-based system could fail are properly detected during the experimental activity. The radar detection mainly exploits the phase-analysis to extract the displacement and the micro-Doppler signature. This work paves the way for the next generation interactive systems in the metaverse environment whereby the radar technology might be exploited along with the traditional sensors to provide an advanced, complete, and reliable interaction to the users.