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Modelling and simulation for table tennis referee regulation based on finite state machine.
Jianjiang Cui1, Zixuan Liu1, Long Xu1
1a School of Information Science and Engineering , Northeastern University , Shenyang , China.
Journal of Sports Sciences
|October 14, 2016
Summary
This study introduces an automated table tennis referee system using a finite state machine (FSM) to ensure fair decisions. The model accurately replaces manual refereeing, reducing bias and potential errors in sports officiating.
Area of Science:
- Sports Technology
- Artificial Intelligence
- Robotics
Background:
- Traditional sports officiating faces challenges like human error, fatigue, and subjective bias.
- Accurate and consistent decision-making is crucial for fair competition in sports like table tennis.
Purpose of the Study:
- To develop an automated refereeing model for table tennis using finite state machine (FSM).
- To replace manual refereeing with an objective, AI-driven system for enhanced accuracy and fairness.
Main Methods:
- Utilized a binocular visual system to record ball trajectories.
- Modeled International Table Tennis Federation (ITTF) rules using FSM.
- Integrated an expert system for final decision-making.
Main Results:
- The proposed model demonstrated high accuracy in simulated table tennis matches.
- The system effectively substitutes manual refereeing, minimizing subjective tendencies.
- The model's generalizability to other sports like badminton and volleyball was shown.
Conclusions:
- The FSM-based automated refereeing system offers a reliable solution for objective sports officiating.
- This technology has the potential to improve fairness and consistency across various racket sports.
- Further development could lead to widespread adoption in professional and amateur sports.
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