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TenniVis: Visualization for Tennis Match Analysis.

Tom Polk, Jing Yang, Yueqi Hu

    IEEE Transactions on Visualization and Computer Graphics
    |September 11, 2015
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    Summary
    This summary is machine-generated.

    TenniVis offers a novel tennis visualization system using easily collected data, unlike expensive camera setups. This system helps coaches and players gain insights into match performance and test hypotheses with video evidence.

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    Area of Science:

    • Sports Analytics
    • Human-Computer Interaction
    • Data Visualization

    Background:

    • Existing tennis visualization research relies on costly ball and player tracking systems.
    • These systems are prohibitive for non-professional tennis matches and coaching.
    • There is a need for accessible visualization tools in tennis analytics.

    Purpose of the Study:

    • Introduce TenniVis, a novel tennis match visualization system.
    • Enable coaches and players to gain insights from easily collected match data.
    • Provide interactive tools for hypothesis testing in tennis performance analysis.

    Main Methods:

    • Developed a system using readily available data (score, point outcomes, service info).
    • Integrated match videos captured by a single consumer-level camera.
    • Designed two novel visualizations and interactive features for data exploration.

    Main Results:

    • Demonstrated system utility by analyzing a Grand Slam final.
    • Validated usability through pilot studies with college tennis coaches.
    • Confirmed that coaches could quickly discover insights and test hypotheses.

    Conclusions:

    • TenniVis provides an accessible approach to tennis performance analysis.
    • The system effectively supports data-driven insights and hypothesis testing for coaches and players.
    • Enables enhanced understanding of match dynamics using affordable technology.