基于Harmony OS平台的公共AI裁判辅助系统的设计和开发
Jingjing Zhao1, Chang Zhu2, Bo Leng3
1Physical Education Teaching Department, China University of Petroleum (East China), Qingdao 266580, China.
Sensors (Basel, Switzerland)
|April 12, 2025
概括
这项研究引入了羽毛球的AI裁判系统,在检测进出边界和服务违规时达到99%的准确性. 该系统旨在通过克服资源限制,让学生更容易获得体育运动.
科学领域:
- 计算机视觉 计算机视觉
- 人工智能的人工智能
- 运动技术技术 运动技术
背景情况:
- 像眼这样的商业裁判系统的成本很高,限制了公众的使用.
- 需要在体育,特别是教育环境中提供可访问和准确的裁判解决方案.
研究的目的:
- 开发一个小规模的,人工智能驱动的羽毛球裁判辅助系统.
- 通过计算机视觉,在有争议的电话中提供公正而准确的判断.
- 加强大学生在羽毛球训练和比赛中的参与.
主要方法:
- 利用计算机视觉理论和深度学习对象检测 (YOLOV5).
- 雇佣的计算机图形知识用于判断处理.
- 整合了Harmony OS平台作为一个前端小程序.
- 实现了MediaPipe,用于准确的姿势识别.
主要成果:
- 对象检测模型实现了高达99%的预测准确性.
- 该系统准确地识别了进出边界和服务违规行为.
- 人工智能系统在裁决和姿势识别方面表现出高准确度.
结论:
- 开发的AI裁判系统对于羽毛球裁判来说是有效和准确的.
- 与商业替代品相比,该系统提供了一个具有成本效益和可访问性的解决方案.
- 它可以帮助解决裁判资源的短缺问题,并促进学生体育参与.
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