Abstract
Virtual reality technology has promoted the reform of education. This research mainly discusses college physical education teaching assisted by artificial intelligence-based virtual reality technology. According to the position change of the virtual human’s center of gravity, the spline keyframe interpolation method is used for interpolation, and the model pose obtained in each frame is rendered to obtain the virtual human’s animation. After synthesizing a virtual human animation with three-dimensional human motion data, the animation can have functions such as video storage, fast playback, slow playback, and freeze. At the same time, the system can also display and play the virtual human animation and the video shot by the camera on the same screen, in order to make an intuitive comparison of the athletes’ movements. Coaches can edit by hand or shoot the sports of outstanding domestic and foreign athletes on the spot and then use VC++6.0 as a development tool to analyze and get the simulation video of the 3D virtual human body. The virtual human animation technology in the motion analysis system is to relocate the three-dimensional motion data extracted from the video captured by the camera to the three-dimensional virtual human model we have established, and the three-dimensional virtual human will then simulate the technical actions of the athletes, which indirectly reflects that the three-dimensional movement information of the athletes enables coaches and athletes to observe the athletes’ technical movements in a three-dimensional space in real time, repeatedly, and from multiple angles so that the coach can accurately guide the athletes’ technical movements. Finally, a neural network based on artificial intelligence technology is used to evaluate the teaching effect. In the comparative experiment, 35% of the people in the virtual teaching experiment group were excellent, while the control group had only 10% in this excellent range (90–100). This research contributes to the smooth progress of VR technology teaching in colleges and universities.
Highlights
Virtual reality (VR), like smartphones and the Internet, will be a very disruptive technology
We often combine the modification of the motion curve of a certain joint with the inverse dynamics organically to achieve the purpose of adjusting the posture of the virtual human
Test Results of the Body Shape before the Experiment. e body shape before the experiment is shown in Table 1. e main research content of this paper is to test the new physical education teaching method using virtual reality technologywhether there is a clear difference in the teaching effect from the traditional teaching mode
Summary
Virtual reality (VR), like smartphones and the Internet, will be a very disruptive technology. In order to study and improve the potential benefits, he designed an eccentric rendering user study to evaluate the perception of human peripheral vision when viewing today’s displays After verifying these insights on desktops and head-mounted displays, with the help of highspeed gaze tracking, he designed a perceptible target image to design and produce a centralized renderer. With virtual reality (VR) and computer-generated interactive environments, individuals can experience the problems they encounter repeatedly and learn how to overcome difficulties through evidence-based psychotherapy. He conducted a systematic review of empirical research. Coaches can edit by hand or shoot the sports of outstanding domestic and foreign athletes on the spot and use VC++6.0 as a development tool to analyze and get the simulation video of the 3D virtual human body. e virtual human animation technology in the motion analysis system is to relocate the three-dimensional motion data extracted from the video captured by the camera to the three-dimensional virtual human model we have established, and the three-dimensional virtual human will simulate the technical actions of the athletes, which indirectly reflects that the three-dimensional movement information of the athletes enables coaches and athletes to observe the athletes’ technical movements in a three-dimensional space in real time, repeatedly, and from multiple angles so that the coach can accurately guide the athletes’ technical movements
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