Research on 3D Human Motion Visualization for Immersive Teaching Mechanism - 3D Pose Reconstruction form the Tradition Motion Video for Teaching and Evaluation

Abstract

Objective: Based on the three-dimensional (3D) visualization technology of human motion, the immersive teaching mechanism of human motion was proposed. At present, the training and learning of human motion could not observe the 3D information of its posture due to the issue of two-dimensional (2D) perspective, which had many shortcomings. Methods: This article proposed new teaching mechanisms, including personal immersive assisted instruction, multi person immersive interactive teaching, and immersive teaching evaluation method for motion learning. The design of the three methods were carried out in the background of artificial intelligence (AI). Results: Combining with current advanced AI algorithms, the concept of visualizing 3D human motion for immersive teaching method was conceived, and a specific implementation framework diagram and description of the main work of each teaching mechanism are provided. The personal immersive assisted instruction method would be a powerful tool for enhancing individual learning experiences in the realm of 3D human motion visualization. The multi-person immersive interactive teaching took 3D human motion visualization to the next level by facilitating collaborative learning experiences. The immersive teaching evaluation method for human motion training was pivotal for assessing the effectiveness of these immersive techniques. Conclusion: After the evaluation and analysis, this mechanism had been proven to be an effective teaching mechanism for pose learning. 3D human motion visualization for the immersive teaching held the promising prospects in the field of education and instructional practices.