Physical education method and system based on multimedia and holographic AR fusion

Through multi-source sensor array and holographic projection technology, combined with environmental perception and multi-channel feedback, the problem of insufficient motion capture accuracy is solved, and efficient multi-dimensional feedback and personalized physical education teaching effects are achieved.

CN120335618AInactive Publication Date: 2025-07-18四川吉利学院
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Patent Information

Application Number
CN202510823229.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-19
Publication Date
2025-07-18
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

In the existing physical education teaching technology, the motion capture accuracy is insufficient, and the stable and fine-grained action parameterized model cannot be achieved, resulting in inaccurate projection position of holographic or AR teaching content in the venue, lack of a multi-dimensional feedback mechanism, and limited interaction and immersion feeling.

Method used

Motion data is collected through a multi-source sensor array, an action parameterized model is constructed, and the projection path optimization is combined with the holographic projection generation module and the environment perception module, a coordinate mapping between the real site and the virtual image is established, and a multi-channel feedback device is used to output visual, tactile and auditory signals to generate a multi-modal training report.

Benefits of technology

It realizes high-precision motion capture and instant multi-dimensional feedback, improves training efficiency and learning experience, provides quantifiable teaching results records, and meets personalized teaching needs.

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Abstract

The invention relates to the technical field of physical education, in particular to a physical education method and system based on multimedia and holographic AR fusion, and the method comprises the following steps: collecting the motion data of a trainee based on a multi-source sensor array, constructing a motion parameterized model, and generating a holographic projection generation module through the cooperation with a standard motion database; a holographic AR teaching image is generated in real time, an environment perception module is combined to carry out adaptive projection on illumination and spatial layout, a spatial positioning module is used to establish coordinate mapping between a trainee and a virtual image, and a multi-channel feedback device is started to output visual, tactile and auditory signals. And finally, comparing the action parameters with the standard action data to automatically generate a training report containing wrong action labels and correction suggestions. According to the method, the motion capture precision and the interactive immersion can be effectively improved, and efficient and extensible technical support is provided for modern physical education and training.
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