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Interpersonal coordination analysis of tennis players from different levels during official matches
Institution:1. Laboratory of Applied Biomechanics, Sport Sciences Department, State University of Londrina, Londrina, Brazil;2. Biomechanics and Motor Control Laboratories, Department of Kinesiology, University of Massachusetts, Amherst, USA;3. Laboratory of Instrumentation for Biomechanics, Faculty of Applied Sciences, University of Campinas, Limeira, Brazil;4. Laboratory of Instrumentation for Biomechanics, Faculty of Physical Education, University of Campinas, Campinas, Brazil;1. Graduate School of Engineering, Tohoku University, 6-6-01 Aramaki-Aza-Aoba, Aoba-ku, Sendai, Miyagi 980-8579, Japan;2. Graduate School of Biomedical Engineering, Tohoku University, 6-6-01 Aramaki-Aza-Aoba, Aoba-ku, Sendai, Miyagi 980-8579, Japan;3. Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada;4. Lyndhurst Centre, Toronto Rehabilitation Institute–University Health Network, Toronto, Ontario, Canada;1. Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY, USA;2. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA;3. Hospital for Special Surgery, New York, NY, USA;1. Vicon Denver, 7388 S. Revere Parkway Suite 901, Centennial, CO 80112, USA;2. School of Sport, Exercise and Health Sciences, Loughborough University, LE11 3TU, UK;1. Center for the Study and the Transformation of Physical Activities (CETAPS), Faculty of Sport Sciences, University of Rouen Normandy, UNIROUEN, 76821 Mont Saint Aignan, France;2. Interuniversity Biology and Motricity Laboratory (LIBM), University Savoie Mont Blanc, 73376 Le Bourget du Lac Cedex, France;3. Department of Medicine, Surgery and NeuroScience, University of Siena, Via Banchi di Sotto, 55, Siena SI, Italy;4. Sport Science Department, Medicine and Science Sport Institute, Italian National Olympic Committee (CONI), Foro Italico, Largo Lauro de Bosis 15, 00135 Roma, Italy;1. Department of Psychology, Edge Hill University, Ormskirk, United Kingdom;2. Institute of Psychology, Leiden University, Leiden, the Netherlands
Abstract: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.
Keywords:Dynamical systems  Kinematics  Match analysis  Computational tracking
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