Research Progress on Intelligent Recognition of Table Tennis Technical Movements

The accurate recognition of table tennis technical movements is of great significance for the optimization of athletes' technical movements and technical and tactical analysis. With the rapid development of artificial intelligence technologies such as sensors, computer vision and deep learning, the intelligent recognition of table tennis technical movements has become a hot topic in sports science and technology research. This paper systematically sorts out the research background, main research progress, challenges and development trends of table tennis technical movement recognition based on sensors and computer vision, and analyzes the correlation and differences between different research methods. Studies have shown that the current methods based on sensors, computer vision and deep learning have made significant progress in the recognition of table tennis technical movements, but they still face challenges such as limited data acquisition, controlled experimental environment and algorithms that need to be optimized. Further research is still needed in terms of data diversity, algorithm real-time, multimodal fusion and technical and tactical in-depth analysis.