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January 1, 2026International Journal of Computer Applications in TechnologyOpen Access

Sports biomechanical performance analysis algorithm and geometric parameter equation based on reinforcement learning.

Lian Xiao Zhe Huang Zhenzhen Wang

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Key Points

This research aims to develop a robust algorithm for analyzing sports biomechanical performance using reinforcement learning techniques.
Developed an analysis algorithm based on reinforcement learning principles for sports biomechanics.
Evaluated geometric parameters associated with sports performance using this algorithm.
The algorithm significantly improved performance metrics in sports biomechanics analysis compared to traditional methods.
Variable geometric parameters were identified, enhancing the understanding of biomechanical efficiency.

Implication

Analyzes sports biomechanical performance through a reinforcement learning algorithm, suggesting new measurement methods.

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Cite This Study

Xiao et al. (2026) studied this question.

synapsesocial.com/papers/6a34dde465a5b0777af2d7ce https://doi.org/10.1504/ijcat.2026.10079193

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