Virtual reality (VR) technology employs specialized software and coding to create interactive 3D environments, accessed through VR glasses and handled with computer-aided devices. In China, industries such as education are actively integrating VR to enhance learning experiences. In cheerleading education, traditional methods like face-to-face instruction, video tutorials, and posters often lack sufficient interactivity and practical engagement. To address this, VR technology offers an immersive alternative that can simulate real-life practice scenarios. A central challenge in this integration is incorporating motion capture (MoCap) systems, which can record and analyze body movements in real time. These systems help visualize posture and movement dynamics within VR settings. This study explores the use of VR and MoCap in cheerleading to enhance teaching effectiveness. By building a human motion model database and applying feature similarity plane matching, instructors can identify and correct student movements with greater accuracy. Feature vectors (FVs) are used to guide posture adjustments, making training more precise and responsive. Results demonstrate that the combined use of VR and MoCap significantly improves the learning experience, making it more engaging, interactive, and technically accurate. This approach holds promise for transforming traditional cheerleading instruction into a more dynamic and effective teaching method.
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