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January 1, 2026International Journal of Information QualityOpen Access

Sports Motion Trajectory Extraction Network Based on TCN-STA-GRU

Jialin Li Alireza Sharifi Mohammadmahdi Safari

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Key Points

The aim is to develop a network for extracting sports motion trajectories using advanced algorithms.
Utilized TCN (Temporal Convolutional Network), STA (Spatial-Temporal Attention), and GRU (Gated Recurrent Unit) architectures for data processing.
Applied the method to sports motion data to enhance trajectory extraction accuracy.
Achieved improved precision in motion trajectory extraction compared to traditional methods.
Demonstrated significant reductions in error rates, indicating better performance analysis capabilities.

Implication

Evaluates motion trajectory extraction in sports, suggesting improvements in performance analysis tools.

Abstract

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Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/6a1539ccb5d9c58d83e8cd2f https://doi.org/10.1504/ijiq.2026.10078725

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