更快,更准确? 在巴黎奥运会泰拳道比赛中用人工智能取代人类裁判的可行性研究
Yuncheng Zhang1, Ruojie Qu2, Olivier Girard3
1School of Physical Education, Yan'an University, Yan'an, China.
Frontiers in sports and active living
|September 3, 2025
概括
人工智能显著提高了泰拳视频评审的准确性和效率, 显示与人类裁判的高度一致. 建议采用混合人工智能裁判模式进行最佳体育裁判.
科学领域:
- 运动科学
- 人工智能
- 计算机视觉
背景情况:
- 目前的拳击视频审查系统依赖于人类的判断力,
- 竞赛期间以人为主管的局限性需要探索先进的技术解决方案.
研究的目的:
- 评估人工智能 (AI) 在提高泰拳比赛视频审查的准确性和效率方面的有效性.
- 将人工智能产生的罚款决定与人类裁判所做出的决定进行比较.
主要方法:
- 分析了2024年巴黎奥运会的241个视频审查案例.
- 使用包括ChatGPT-4.5和OpenPose在内的AI模型进行判断.
- 使用科恩卡帕系数对国际裁判判决进行AI决策的统计比较.
主要成果:
- 人工智能判断与国际裁判之间的高度一致 (科恩卡帕 = 0.897,p < 0.001).
- 在241个案例中只有9个有差异, 主要是模两可的情况,
- 通过自动关键框架识别,人工智能将平均审查时间减少了约81%.
结论:
- 人工智能有很大的潜力提高体育裁判的准确性和效率.
- 对于复杂的案件,建议采用混合模型,将人工智能预审与人类裁判确认相结合.
- 未来的研究应该探索实时AI检测和在其他运动中的应用.
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02:07Improving Translational Accuracy
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
02:07Improving Translational Accuracy
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...