A Cross-platform Metaverse Data Management System
Bohan Chen, Chengxin Song, Boyu Lin, Xin Xu, Ruoyan Tang, Yunxuan Lin, Yuan Yao, Joseph Timoney, Ting Bi · 2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) · 2022
The current extended reality(XR) community is developing rapidly, and is promoting the development of the metaverse industry. Each XR community could be deemed as a sub-metaverse. This has attracted a group of internet giants and individual developers to generate their own forms of metaverse products. While there is not such a system that is able to achieve the goal of crossing all these metaverse, which appear to be contradictory to the original concept of the metaverse: relating every virtual world to a universe.To handle this problem, this paper proposes a cross-platform metaverse data management system(CMDMS), which is committed to allowing users to employ their own profile and space across different metaverse platforms.