Motion Prediction based Safety Boundary Study in Virtual Reality
Chenxin Qu, Xiaoping Che, Enyao Chang, Zimo Cai · 2023
Nowadays, VR technology has play an indispensable role in promoting the construction of the Metaverse. In this study, we tried to avoid users' body physical collisions within the safety boundary in VR scenes. Three basic motion event categories are defined according to the common motions of users. We segmented users data into three-dimensional coordinates, extracted the motion range features, and constructed the relational data set. Furthermore, we used statistical methods to study the correlation between user characteristics and motion range categories, in order to explore and analyze the possi-bility of optimizing the safety motion range. Finally, we deployed our safety boundary systems in the virtual reality environment.