scholarly journals Reconstruction of 3D Trajectories for Performance Analysis in Table Tennis

Author(s):  
Sho Tamaki ◽  
Hideo Saito
2017 ◽  
Vol 55 (1) ◽  
pp. 7-18 ◽  
Author(s):  
Sho Tamaki ◽  
Kazuto Yoshida ◽  
Koshi Yamada

AbstractThe current study proposes a novel approach that improves the conventional performance analysis in table tennis by introducing the concept of frequency, or the number of shots, of each shot number. The improvements over the conventional method are as follows: better accuracy of the evaluation of skills and tactics of players, additional insights into scoring and returning skills and ease of understanding the results with a single criterion. The performance analysis of matches played at the 2012 Summer Olympics in London was conducted using the proposed method. The results showed some effects of the shot number and gender differences in table tennis. Furthermore, comparisons were made between Chinese players and players from other countries, what threw light on the skills and tactics of the Chinese players. The present findings demonstrate that the proposed method provides useful information and has some advantages over the conventional method.


2016 ◽  
Vol 15 (1) ◽  
pp. 22-36 ◽  
Author(s):  
S. Wenninger ◽  
M. Lames

Abstract The aim of this study was to identify the impact of different tactical behaviors on the winning probability in table tennis. The performance analysis was done by mathematical simulation using a Markov chain model. 259 high-level table tennis games were evaluated by means of a new simulation approach using numerical derivation to remove the necessity to perform a second modeling step in order to determine the difficulty of tactical behaviors. Based on the derivation, several mathematical constructs like directional derivations and the gradient are examined for application in table tennis. Results reveal errors and long rallies as the most influencing game situations, together with the positive effect of risky play on the winning probability of losing players.


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