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Updated: Sep 21, 2025

Comparison of Kinetic Characteristics of Footwork during Stroke in Table Tennis: Cross-Step and Chasse Step
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Application of Table Tennis Ball Trajectory and Rotation-Oriented Prediction Algorithm Using Artificial Intelligence.

Qiang Liu1, Hairong Ding1

  • 1Shanghai Polytechnic University, Shanghai, China.

Frontiers in Neurorobotics
|June 1, 2022
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) enhances table tennis by accurately predicting ball trajectory and rotation. This AI-driven approach improves training and competition, accelerating sports development.

Keywords:
artificial intelligencehuman motion recognitionmachine learningsupport vector machines algorithmtrack recognition of table tennis

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Area of Science:

  • Sports Science
  • Artificial Intelligence
  • Robotics

Background:

  • Artificial intelligence (AI) integration in sports is rapidly advancing.
  • Table tennis (TT) development requires enhanced training and competition tools.
  • Accurate prediction of table tennis ball (TTB) trajectory and rotation is crucial for performance.

Purpose of the Study:

  • To accelerate sports development in China through AI.
  • To promote technological innovation in AI for sports applications.
  • To develop an AI-based system for TTB trajectory and rotation prediction.

Main Methods:

  • Introduced AI into sports, specifically for table tennis.
  • Developed a TTB detection algorithm using Feature Fusion Network (FFN).
  • Employed cross-layer connection networks within Convolutional Neural Networks (CNNs) for feature extraction.

Main Results:

  • Achieved over 98% detection accuracy for TTB.
  • Obtained a detection response time under 5.3 ms, suitable for robot vision systems.
  • Demonstrated superior accuracy compared to traditional Color Segmentation Algorithms, especially with TTB color variations.

Conclusions:

  • The developed AI algorithm effectively predicts TTB trajectory and rotation.
  • The system meets the stringent requirements of table tennis robots.
  • This research provides a valuable reference for AI applications in sports and popularizing table tennis.