An AI-driven multi-dimensional element fusion-based comprehensive ability evaluation method for competitive athletes

By using an AI-driven multi-dimensional element fusion method, a comprehensive athlete ability evaluation system is constructed, which solves the problems of single-dimensional evaluation and non-standard data processing in traditional methods. This enables a comprehensive, objective, and accurate evaluation of athletes' abilities, adapting to the characteristics and needs of different competitive sports.

CN122414899APending Publication Date: 2026-07-17BEIJING UNIV OF TECH
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING UNIV OF TECH
Filing Date
2026-04-13
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing methods for evaluating athletes' comprehensive abilities suffer from problems such as single-dimensional evaluation, non-standard data processing, highly subjective weighting, and difficulty in adapting to the characteristics and needs of different events, resulting in biased and inaccurate evaluation results.

Method used

By employing an AI-driven multi-dimensional factor fusion method, through data preprocessing, construction of a multi-dimensional evaluation index system, targeted fine-tuning and weight optimization of a large model, and TOPSIS ideal solution approximation ranking, the method integrates four dimensions of factors: technology, physical fitness, psychology, and physiology, to achieve accurate evaluation of athletes' comprehensive abilities.

Benefits of technology

It enables a comprehensive, objective, and accurate evaluation of athletes' overall abilities, adapts to the specific needs of different competitive sports, and improves the scientific rigor and reliability of the evaluation.

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Abstract

The application discloses a kind of based on AI driving's multi-dimensional element fusion's competitive athlete comprehensive ability evaluation method.The method obtains athlete competition technical statistics, physical fitness test, physiological detection and psychological evaluation etc.multisource data, and carry out missing value processing, noise and interference information elimination, standardization and coding alignment after fusion form unified data set;On this basis, the evaluation index system covering technology, physical fitness, physiology and psychology is built.Training corpus for index importance classification is built, and the locally deployed large language model is fine-tuned to output index importance suggestion, and the index most right weight vector is obtained.Finally, the index data is normalized and normalized, and weighted, and the positive and negative ideal solutions are constructed, and the relative closeness is calculated, and the athlete comprehensive ability quantitative evaluation result and sorting are output.The application is suitable for competitive athlete selection, training process evaluation and ability comparison analysis.
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