Interpersonal coordination analysis of tennis players from different levels during official matches

被引:13
作者
Costa Pereira, Tiago Julio [1 ]
van Emmerik, Richard E. A. [2 ]
Misuta, Milton Shoiti [3 ]
Barros, Ricardo M. L. [4 ]
Moura, Felipe Arruda [1 ]
机构
[1] Univ Estadual Londrina, Sport Sci Dept, Lab Appl Biomech, Londrina, Brazil
[2] Univ Massachusetts, Dept Kinesiol, Biomech & Motor Control Labs, Amherst, MA 01003 USA
[3] Univ Estadual Campinas, Fac Sci Appl, Lab Instrumentat Biomech, Limeira, Brazil
[4] Univ Estadual Campinas, Fac Phys Educ, Lab Instrumentat Biomech, Campinas, SP, Brazil
关键词
Dynamical systems; Kinematics; Match analysis; Computational tracking;
D O I
10.1016/j.jbiomech.2017.11.036
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
The purpose of this study was to assess the interpersonal coordination during official male tennis matches in players of different skill levels. Players' trajectories of three levels (juvenile, ATP-Future, ATP-250) were obtained using video-based tracking system. A vector coding technique was applied to obtain players' interpersonal coordination in four coordination patterns: "anti-phase", "in-phase", "serving player phase" and "returning player phase". These patterns allowed identification of the nature of the coupling and lead/lag relations between players. In all categories, players presented higher degree of "anti-phase" and "serving player phase" (when only the serving player is moving on the court or his opponent is moving with a time lag) coordination. Young players spent more time in "serving player phase" during lateral displacements than professional players. On the other hand, professional players spent more time in "returning player phase" (when only the returning player is moving on the court or his opponent is moving with a time lag) during antero posterior displacements, than young players. Interpersonal coordination did not change from the first to the second set of the match, showing that tennis players maintain their displacement characteristics and strategy, independently of proficiency level. The vector coding technique allowed to identify new coordination patterns in tennis, providing additional information about tennis dynamics and how players from different categories and proficiency levels behave during the matches. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:106 / 113
页数:8
相关论文
共 14 条
[1]  
ATP, 2016, 2016 ATP OFF RUL
[2]   Interpersonal Dynamics in Baseline Rallies in Tennis [J].
Carvalho, Joao ;
Araujo, Duarte ;
Travassos, Bruno ;
Fernandes, Orlando ;
Pereira, Fernando ;
Davids, Keith .
INTERNATIONAL JOURNAL OF SPORTS SCIENCE & COACHING, 2014, 9 (05) :1043-1056
[3]   Quantifying rearfoot-forefoot coordination in human walking [J].
Chang, Ryan ;
Van Emmerik, Richard ;
Hamill, Joseph .
JOURNAL OF BIOMECHANICS, 2008, 41 (14) :3101-3105
[4]   Analysis of the distances covered and technical actions performed by professional tennis players during official matches [J].
Costa Pereira, Tiago Julio ;
Nakamura, Fabio Yuzo ;
de Jesus, Mayra Tardelli ;
Roveri Vieira, Claudio Luis ;
Misuta, Milton Shoiti ;
Leite de Barros, Ricardo Machado ;
Moura, Felipe Arruda .
JOURNAL OF SPORTS SCIENCES, 2017, 35 (04) :361-368
[5]  
Crespo Miguel., 1998, Advanced Coaches Manual
[6]   Background recovering in outdoor image sequences: An example of soccer players segmentation [J].
Figueroa, Pascual J. ;
Leite, Neucimar J. ;
Barros, Ricardo M. L. .
IMAGE AND VISION COMPUTING, 2006, 24 (04) :363-374
[7]  
Hoppe M., 2015, INT J SPORTS PHYSL P
[8]  
Lames M, 2006, J SPORT SCI MED, V5, P556
[9]  
Martínez-Gallego R, 2013, J SPORT SCI MED, V12, P275
[10]   Sport competition as a dynamical self-organizing system [J].
McGarry, T ;
Anderson, DI ;
Wallace, SA ;
Hughes, MD ;
Franks, IM .
JOURNAL OF SPORTS SCIENCES, 2002, 20 (10) :771-781