Intelligent judgement and training optimisation algorithm of table tennis landing area driven by deep learning and computer vision

Key Points

• The aim is to develop an intelligent algorithm to optimize table tennis landing areas using deep learning and computer vision.
• Utilized deep learning techniques for analyzing landing area data.
• Applied computer vision to assess player performance in real-time.
• Implemented optimization algorithms to enhance training strategies.
• Significant improvement in landing accuracy observed (p<0.05).
• Increased training efficiency by 30% with the proposed algorithm.
• Participants reported a 40% increase in confidence during gameplay.

Abstract