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1 Introduction Mathematical models have proved to be useful in the study of technical properties in several sports, allowing for the generation of new game and training strategies. In particular, Markovian models have been used to describe the statistical properties of several sports, including volleyball, tennis and racquetball, Carrari, Ferrante, and Fonseca (2017) ; Newton and Aslam (2009) ; Strauss and Arnold ( 1987 ); Simmons ( 1989 ); González ( 2013 ); Walker and Wooders ( 2011 ); Hoffmeister and Rambau ( 2017 ); Hoffmeister ( 2019 ). A common feature of
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References 1. Afonso J., F. Esteves, R. Araújo, L. Thomas, I. Mesquita (2012) Tactical determinants of setting zone in elite men’s volleyball. J. Sports Sci. Med ., 11: 64-70. 2. Afonso J., I. Mesquita, R. Marcelino, J. da Silva (2010) Analysis of the setter’s tactical action in high-performance women’s volleyball. Kinesiology , 42: 82-89. 3. Bergeles N., K. Barzouka, N. Elissavet (2009) Performance of male and female setters and attackers on Olympic-level volleyball teams. Int. J. Perform. Analysis Sport , 9: 141-148. 4. Bozhkova A. (2013) Playing efficiency
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Aim: The paper’s purpose is to determine the existence of differences in anthropometric and postural characteristics in specific sport branches, in this case, to find the ergonomic posture for athletes in the area of volleyball. Differences can be used by professional teams and sport clubs in the selection of new athletes, in improving performance monitoring for the active athletes and in determining specific ergonomic position for each sport.
Materials and methods: Participants included in the study were seven active athletes (all male volleyball representatives) aged 16 to 23. They had been involved in a series of non-invasive tests using a postural baro-podometric electronic platform consisting of a pressure plate with 6400 active sensors. This unit examines the pressure orthostatic bipedal (static exam) and balance (stabilometric exam) using Miletrix 2.0 software exams that have produced a number of parameters and indicators. After analyzing and comparing the obtained parameters, analytical and graphical differences were observed between the volleyball athletes’ in regard to posture.
Results: The differences occur because of various exercises used in motor development and specific skills needed in each sport.
Conclusion: Proving these differences by using a small number of indicators and parameters, applied on just 7 athletes included in the study, opens new ways and offers new opportunities for further scientific analysis of this field, with the final goal of being able to suggest the best suitable sport for an individual based only on a few, fast, non-invasive measurements, able to tell if an individual suits the ergonomic posture specific for that certain sport.
, these models were forced to evolve, and in the meantime have served as a guide for numerous research and interventions. The emergent interest in MI in sports has shown that the type of sport/ skill may have a major impact in athletes’ use of MI (see Arvinen-Barrow, Weigand, Thomas, Hemmings, & Walley, 2007 ; Ribeiro et al., 2015 ). In effect, indoor and outdoor versions of volleyball are played all over the world by an estimated 998 million people, with over 220 affiliated national federations registered to volleyball’s global governing body, the Fédération