Interactive Intelligent Control and Virtual Simulation Based on Motion Capture Data

In recent years, a great deal of research has been done on the theory and practice of motion capture internationally. Nowadays, gradually perfect motion capture methods and a wide variety of motion capture systems begin to animate virtual characters and challenge the traditional motion capture techniques of reproducing human motion. This article theoretically analyzes digitization of human motion, interactive intelligent control, human simulation, etc. From the perspective of optical motion capture, biologic skeleton kinematic state captured by Kinect somatosensory cameras can view spatial depth information of the viewing angle to perform a disciplinary blending analysis. From the perspective of mechanical motion capture, two normal measurement tools, including MTI and RazorIMU, are used to obtain valid data. A mathematical mapping model is built for analog computation of the normal, natural physical movement process of virtual creatures under the existing constraints, and input as the data flow model into the virtual environment in relevant computing tools to achieve the simulation results.