Proceedings of the 3rd International Conference on Educational Innovation and Multimedia Technology, EIMT 2024, March 29–31, 2024, Wuhan, China

Research Article

Innovative Research on Constructing a Holographic Sports Intelligent Classroom Based on AI Technology

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  • @INPROCEEDINGS{10.4108/eai.29-3-2024.2347635,
        author={Huixing  Zhou and Feng  Wei},
        title={Innovative Research on Constructing a Holographic Sports Intelligent Classroom Based on AI Technology},
        proceedings={Proceedings of the 3rd International Conference on Educational Innovation and Multimedia Technology, EIMT 2024, March 29--31, 2024, Wuhan, China},
        publisher={EAI},
        proceedings_a={EIMT},
        year={2024},
        month={6},
        keywords={ai technology; holographic sports; intelligent classroom},
        doi={10.4108/eai.29-3-2024.2347635}
    }
    
  • Huixing Zhou
    Feng Wei
    Year: 2024
    Innovative Research on Constructing a Holographic Sports Intelligent Classroom Based on AI Technology
    EIMT
    EAI
    DOI: 10.4108/eai.29-3-2024.2347635
Huixing Zhou1,*, Feng Wei1
  • 1: Ningxia Institute of Science and Technology
*Contact email: zhouhuixing0729@163.com

Abstract

This study aims to improve teaching efficiency and quality by combining the latest holographic technology and AI technology. The core of the holographic sports smart classroom is advanced optical technology, through which coaches can present three-dimensional images, simulated experiments, and virtual scenes to students. Holographic sports smart classrooms are typically equipped with gesture recognition technology and touch screen devices, allowing students to explore course content through gestures and touches, enhancing their sense of participation and interactivity. The holographic sports smart classroom employs advanced AI technology to simulate various sports environments and scenarios, enabling students to engage in more realistic sports training and skill learning in virtual environments. AI technology can customize personalized teaching plans for each student through functions such as data analysis and intelligent recommendations, making teaching more precise and efficient.