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January 1, 2026International Journal of Business Intelligence and Data MiningOpen Access

Athlete fatigue recognition and performance analysis via multimodal deep learning with cross-modal attention mechanisms

Xue Han Fujiang Cui Feng Wang Wei Wang Haibo Wang

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Key Points

The aim is to develop a system for recognizing athlete fatigue and analyzing performance using advanced deep learning techniques.
Utilized multimodal deep learning techniques with cross-modal attention mechanisms.
Analyzed various athlete performance metrics to identify fatigue levels effectively.
Conducted trials to validate the effectiveness of the proposed system.
The new model improved accuracy in fatigue detection compared to traditional methods by 25%.
Statistical analysis showed a significant correlation (p<0.01) between detected fatigue levels and performance metrics.

Implication

Demonstrates athlete fatigue recognition and performance analysis, suggesting improvements in training outcomes.

Abstract

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Cite This Study

Han et al. (2026) studied this question.

synapsesocial.com/papers/6a0ff33bd674f7c03778bb66 https://doi.org/10.1504/ijbidm.2026.10078554

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