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GreenSea: Visual Soccer Analysis Using Broad Learning System.

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    GreenSea offers a visual-based system for soccer analytics, using a novel recurrent discriminative broad learning system (RDBLS) for efficient player assessment and tactical analysis. This overcomes traditional data collection challenges in complex sports analysis.

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    Area of Science:

    • Sports Science
    • Data Analytics
    • Machine Learning

    Background:

    • Modern soccer relies heavily on data analytics and visual analysis, yet lacks standardized quantitative methods.
    • Traditional statistical collection and visualization are time-consuming, hindering real-time tactical adjustments.
    • Existing deep learning methods can be slow, posing challenges for dynamic sports environments.

    Purpose of the Study:

    • To develop GreenSea, a visual-based system for soccer game analysis, tactics, and training.
    • To address the time-consuming nature of traditional sports data analysis.
    • To introduce a novel recurrent discriminative broad learning system (RDBLS) for efficient quantitative analysis and long-term tracking.

    Main Methods:

    • Developed GreenSea, a visual-based assessment system utilizing a broad learning system (BLS) for model training.
    • Implemented advanced visualization and animation for multi-view game analysis and statistical summarization.
    • Proposed a novel recurrent discriminative BLS (RDBLS) optimized for binary classification in long-term tracking.

    Main Results:

    • The RDBLS model demonstrated superior performance compared to standard BLS and other methods in experiments.
    • GreenSea successfully assisted a youth coach in assessing player performance for talent identification.
    • The system proved effective for the U20 Shanghai soccer team in game analysis and tactical decision-making during the 13th National Games.

    Conclusions:

    • GreenSea provides a usable and valuable tool for both amateur and expert users in soccer.
    • The system enhances quantitative analysis and tactical insights through efficient visual assessment.
    • The RDBLS model offers a significant advancement in sports data analysis for complex games like soccer.