Study shows VR users in the metaverse can be identified using head and hand motion data

A team of computer scientists from UC Berkeley, RWTH Aachen and Unanimous AI, has found that users moving around virtually in the metaverse can be identified using nothing more than data received from head and hand sensors. The group has been studying privacy issues regarding users engaging with virtual reality ecosystems and has found that makers of VR games can easily identify who is involved by analyzing head and hand motion data. They published a paper on the arXiv preprint server.