With the rise of Virtual Reality (VR) and metaverse concepts, high-fidelity virtual human interaction systems have become a hot research topic. Motion capture technology, as a key bridge connecting the real world and virtual environment, plays a central role in driving avatars in the VR metaverse. The purpose of this paper is to explore the application of motion capture technology in constructing a high-fidelity virtual human interaction system in the VR metaverse. By reviewing the technical classification of motion capture technology, comparing and studying its core breakthrough points, and analyzing its innovative principles in the system architecture model, this paper mainly focuses on the key features of low latency, high fidelity, and multimodality. The research results show that motion capture technology can effectively capture and reconstruct user movements, realize real-time driving of virtualized bodies, and enhance the immersion and realism of VR interaction. Meanwhile, to address the high cost of current motion capture technology, the research is committed to exploring the use of fewer sensors to realize whole-body motion reconstruction, which will provide a more economical and practical solution for future VR applications.
Pu Yu (Fri,) studied this question.