A Study on the Development Trends of Table Tennis Receive Techniques Based on Video Analysis

  • Liu Xinyu * School of Physical Education, Shanxi University
Article ID: 5644
1 Views
Keywords: Video Analysis; Table Tennis; Receiving Technique; Technical Development; Motion Recognition

Abstract

This paper systematically examines the development and emerging trends of table tennis receiving techniques in international elite competitions over the past decade through the use of video analysis. By analyzing match footage from significant events such as the Olympic Games and the World Table Tennis Championships, and combining motion recognition with statistical methods, the study identifies changes in crucial aspects of receiving, including reaction time, stroke types, placement distribution, and tactical combinations. The results suggest that contemporary receiving techniques are characterized by increased speed, precision, variability, and consistency. Techniques like the backhand flick, short pushes, and long chops have become more prominent and are now integral to offensive strategies. The findings provide valuable data for athlete training and tactical improvement.

Published
2025-12-18
How to Cite
Xinyu, L. (2025). A Study on the Development Trends of Table Tennis Receive Techniques Based on Video Analysis. Learning & Education, 14(4). Retrieved from https://ojs.piscomed.com/index.php/L-E/article/view/5644
Section
Article

References

[1]Akın, M., & Yılmaz, E. (2022). Biomechanical analysis of table tennis forehand loop drive using 3D motion capture system. Journal

of Human Kinetics, 81(1), 25–36. https://doi.org/10.2478/hukin-2022-0003

[2]Qian, J., Liu, H., & Lu, Y. (2020). Tactical patterns in elite table tennis matches: A video-based notational analysis. International

Journal of Performance Analysis in Sport, 20(3), 495–509. https://doi.org/10.1080/24748668.2020.1755221

[3]Malagoli Lanzoni, I., Felici, F., & Di Michele, R. (2014). Temporal and spatial constraints on serve and receive strategies in

high-level table tennis. European Journal of Sport Science, 14(sup1), S362–S369. https://doi.org/10.1080/17461391.2012.740504

[4]Zhang, Y., Zhang, C., & Wang, D. (2021). Application of deep learning in sports video analysis: A case study on table tennis stroke

recognition. Sensors, 21(12), 4015. https://doi.org/10.3390/s21124015

[5]Kondric, M., Zagatto, A. M., Sekulic, D., & Rattanaprasert, T. (2013). Influence of playing level and opponent’s quality on tactical

behavior in table tennis. Perceptual and Motor Skills, 117(3), 823–838. https://doi.org/10.2466/05.10.PMS.117x29z3