A Design Method of Group Animation Fusion Motion Capturing Data Based on Virtual Reality Technology

Abstract

To improve the ability of 3D virtual reconstruction and recognition of human actions, it is necessary to extract and capture the features of human actions. Based on Arduino platform, this paper studies and designs a low-cost lightweight motion capture system in body area network. It adopts 3D dynamic tracking recognition method to extract the dynamic image features of characters, and uses VR technology to segment the envelope contour of dynamic images. At the same time, the capture point of virtual human is studied, and the information of DOF node in VPobject is obtained in VP environment, which successfully completes the assembly of virtual human parts. Then, through an algorithm proposed in this paper, the path information and motion capture data are fused to generate new motion data to realize the automatic generation of 3D animation in virtual environment. The simulation results show that the animation design method r is simple and feasible, which can improve the visual effect and reality of animation.