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Automated Service Height Fault Detection Using Computer Vision and Machine Learning for Badminton Matches.

Guo Liang Goh1, Guo Dong Goh1, Jing Wen Pan2,3

  • 1School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Singapore.

Sensors (Basel, Switzerland)
|December 23, 2023
PubMed
Summary

This study introduces an AI-powered badminton service fault detection system. The computer vision system significantly improves accuracy in detecting service heights, enhancing fairness in the sport.

Keywords:
computer visionmachine learningrobot umpiresports technologysystem development

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Area of Science:

  • Sports Technology
  • Computer Vision
  • Machine Learning

Background:

  • Accurate service height detection is crucial for maintaining fairness in badminton.
  • Existing methods for service fault detection can be subjective and inconsistent.

Purpose of the Study:

  • To develop and evaluate an automated system for detecting service faults in badminton using computer vision and machine learning.
  • To enhance the accuracy and consistency of service height judgments in badminton matches.

Main Methods:

  • Utilized a computer vision system with two cameras and a workstation, employing the YOLOv5 object detection model.
  • Developed an algorithm to pinpoint shuttlecock impact events for precise height measurement.
  • Benchmarked system accuracy against a high-sample-rate motion capture system and human judges.

Main Results:

  • The automated system achieved a 58% accuracy rate in detecting service heights between 1.150 and 1.155 m.
  • Outperformed human judges by 3.5 times, with human accuracy at 16% in comparative tests.
  • Demonstrated substantial improvements in accuracy and consistency over human judgment.

Conclusions:

  • The developed automated system offers a highly reliable solution for badminton service fault detection.
  • Significantly enhances the precision and integrity of officiating in badminton.
  • Represents a meaningful advancement in leveraging technology for sports officiation.