湖北师范大学学报(自然科学版)

男子竞技体操传统评分机制长期受限于主观判断偏差、艺术性量化不足及规则透明度缺失。基于国际体操联合会规则，分析表明竞技体操竞赛中裁判认知负荷过载、技术规范模糊及新动作革新压力是核心挑战。人工智能裁判系统通过高精度动作捕捉与实时数据分析，优化难度分与完成分的客观评估，其辅助训练功能与动态规则适配机制可提升评分一致性。研究表明，AI技术能显著降低主观误差，但需突破设备成本、技术伦理与责任追溯等瓶颈。未来发展方向以人机协同裁判体系为核心，结合标准化动作模板与区块链存证技术，构建动态规则调节机制，推动评分体系智能化转型，同时通过伦理框架平衡技术革新与传统竞技特性，为体操运动的技术治理与全球推广提供系统性解决方案。

The traditional scoring mechanism in men's artistic gymnastics has long been affected by subjective judgment,insufficient quantification of artistry,and a lack of transparency in rules. Analysis based on the regulations of the International Gymnastics Federation reveals that core challenges in gymnastics competitions include cognitive overload for judges,ambiguity in technical specifications,and the pressure for innovation in new moves. Through high-precision motion capture and real-time data analysis,an AI judging system is introduced to optimize the objective assessment of difficulty and execution scores. The auxiliary training functions and dynamic rule adaptation mechanisms of the AI system can enhance scoring consistency.Research finding indicates that the adoption of AI technology can significantly reduce subjective errors,but it must overcome bottlenecks such as equipment costs, technical ethics, and accountability tracing. Therefore, the future development direction,which is based on human-machine collaborative judging system,should integrate standardized movement templates and blockchain evidence preservation technology to build a dynamic rule adjustment mechanism so as to promote the intelligent transformation of the scoring system. Simultaneously,it aims to make a balance between technological innovation and traditional competitive characteristics through an ethical framework,in hopes to provide a systematic solution for the technical governance and global promotion of gymnastics.