AI 中文总结
针对精英运动数字化中现有方案零散问题，提出FST.ai 2.5框架，通过整合多源数据，实现战术诊断、运动员监测等功能，其原型部署可行，方法广泛适用于搏击等体育环境中的可解释AI、数字孪生及可靠决策支持。
AI 中文摘要
精英运动的快速数字化为将人工智能、性能分析和决策支持系统整合到运动员发展和比赛管理中创造了新机会。但现有解决方案仍零散，通常只处理孤立任务。本文提出FST.ai 2.5，这是一个用于奥运会和跆拳道的可解释、具有不确定性感知且安全的人工智能框架。它引入了一个统一数字生态系统，支持多方面工作，通过结合多源数据提供多种功能，原型部署证明了该框架的可行性，此方法广泛适用于搏击运动和其他高性能体育环境中的可解释人工智能、数字孪生及可靠决策支持。
英文摘要
The rapid digitalisation of elite sport has created new opportunities for integrating artificial intelligence (AI), performance analytics, and decision-support systems into athlete development and competition management. However, existing solutions remain fragmented, typically addressing isolated tasks such as performance analysis, athlete monitoring, or referee support. This paper presents \textbf{FST$\cdot$ai~2.5}, an explainable, uncertainty-aware, and secure AI framework for Olympic and Para-Taekwondo. \textbf{FST$\cdot$ai~2.5} introduces a unified digital ecosystem integrating athlete intelligence, competition analytics, federation-scale data management, AI-assisted decision support, athlete and event digital twins, explainable performance indicators, and adaptive training recommendations. The framework supports World Taekwondo (WT), Member National Associations (MNAs), coaches, referees, analysts, and athletes through transparent, secure, and federation-aware governance. By combining multi-source competition data, athlete-performance information, and contextual evidence, \textbf{FST$\cdot$ai~2.5} provides tactical diagnostics, longitudinal athlete monitoring, performance forecasting, personalised development planning, and federation-wide benchmarking using explainable and uncertainty-aware AI. Prototype deployments demonstrate the feasibility of the proposed framework. Although developed for Olympic and Para-Taekwondo, the methodology is broadly applicable to explainable AI, digital twins, and trustworthy decision support in combat sports and other high-performance sporting environments.
Comments14 pages, 4 figures
