Análisis del golpeo de fondo en jóvenes jugadores de tenis en una competición modificada mediante sensores inteligentes

  1. Giménez-Egido, José Maria 1
  2. Fernández-García, Ángel Iván 2
  3. Castellanos, Alvaro 3
  1. 1 Universidad de Murcia
    info

    Universidad de Murcia

    Murcia, España

    ROR https://ror.org/03p3aeb86

  2. 2 Universidad de Zaragoza
    info

    Universidad de Zaragoza

    Zaragoza, España

    ROR https://ror.org/012a91z28

  3. 3 Universidad de Jaén
    info

    Universidad de Jaén

    Jaén, España

    ROR https://ror.org/0122p5f64

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Revista:
JUMP: Journal of Universal Movement and Performance

ISSN: 2695-6713

Ano de publicación: 2020

Número: 1

Páxinas: 39-44

Tipo: Artigo

DOI: 10.17561/JUMP.N1.4 DIALNET GOOGLE SCHOLAR lock_openAcceso aberto editor

Outras publicacións en: JUMP: Journal of Universal Movement and Performance

Resumo

Use of smart devices to show the effect of modification rules and sports equipment on technical-tactical behavior in training stages, opens a new field of study to improve the teaching-learning processes. The objective of the study is to use the smart sensor “Zepp Tennis 2.2.1”, to know the impact of a modified competition (net height = 0.80m and field dimensions = 18.00x8.23m) in under-10 tennis players, according to the comprehensive approach criteria of optimization. The hits (n =7758) during 40 matches played by 20 players (average age = 9.46 ± 0.66 years) were the unit analysis. The study variables were as follows; a) number of strokes, b) percentage of hits impact in sweet spot racket; c) ball speed; and d) ball spin. The results show as follow: a) an increase in the use of flat strokes over topspin and slice; and b) scarce flat and slice play of the flat backhand appearance, nevertheless they show better values of linear and rotational speed than forehands. Decrease net height and court dimensions promote offensive behaviors in young tennis players. This offensive behavior coincides with the recommendations that encourage comprehensive approach to develop an optimal teaching-learning process. 

Referencias bibliográficas

  • Citas Araujo, D., Davids, K. W. & Hristovski, R. (2006). Ecological Dynamics of Decision-Making. Psychology of Sport and Exercise, 7, 653–676.
  • Ato, M., López, J. J. & Benavente, A. (2013). Un sistema de clasificación de los diseños de investigación en psicología. Anales de Psicología, 29(3), 1038–1059.
  • Bayer, D., Ebert, M. & Leser, R. (2017). A comparison of the playing structure in elite kids tennis on two different scaled courts. International Journal of Performance Analysis in Sport, 17(1–2), 34–43.
  • Blanca-Torres, J. C., Fernández-García, Á. I. & Torres-Luque, G. (2019). Influencia de la categoría y el genero en variables temporales en el tenis individual de élite. Journal of Sport and Health Research, 11(1), 69–78. Retrieved from: http://www.journalshr.com/papers/Vol%2011_N%201/JSHR%20V11_1_6.pdf
  • Chang, M. Y. L., Chow, J. Y., Button, C. & Tan, C. W. K. (2017). Nonlinear pedagogy and its role in encouraging 21st century competencies through physical education: A Singapore experience. Source Asia Pacific Journal of Education, 37(4), 483–499.
  • Chow, J. Y., Davids, K., Button, C. & Renshaw, I. (2016). Nonlinear Pedagogy in Skill Acquisition. In Nonlinear Pedagogy in Skill Acquisition. Farias, C. F. G., Harvey, S., Hastie, P. A. & Mesquita, I. M. R. (2019). Effects of situational constraints on students’ game-play development over three consecutive Sport Education seasons of invasion games. Physical Education and Sport Pedagogy, 0(0), 1–20.
  • Farrow, D. & Reid, M. (2010). The effect of equipment scaling on the skill acquisition of beginning tennis players. Journal of Sports Sciences, 28(7), 723–732.
  • Fernández-García, A. & Torres-Luque, G. (2018). Intelligent devices for tennis rackets. ITFCoaching & Sport Science Review, 26(75), 5–7.
  • Field, A. (2013). Discovering statistics using IBM SPSS statistics (Michael Carmichael Development, ed.).
  • Fister, I., Fister, I. & Fister, D. (2019). Design and Implementation of an Artificial Sports Trainer. In Computational Intelligence in Sports. Adaptation, Learning, and Optimization (Vol. 22, pp. 121–135).
  • García-Angulo, A., Giménez-Egido, J. M., García-Angulo, F. J. & Ortega-Toro, E. (2019). Revisión de los reglamentos de balonmano en categorías de formación en España. E-Balonmano.Com: Journal of Sport Science, 15(1), 9–22.
  • Gonçalves, G. H. T., Klering, R. T., Aires, H. & Balbinotti, C. A. A. (2016). Contribuições da competição de tênis na educação e formação de crianças. Journal of Physical Education, 27(1), 2738.
  • Hastie, P. A., Ward, J. K. & Brock, S. J. (2017). Effect of graded competition on student opportunities for participation and success rates during a season of Sport Education. Physical Education and Sport Pedagogy, 22(3), 316–327.
  • International Tennis Federation. (2011). Tennis 10s: The ITF guide to organising 10 and under competition (England). London.
  • Keaney, E. M. & Reid, M. (2018). Quantifying hitting activity in tennis with racket sensors: new dawn or false dawn? Sports Biomechanics, 00(00), 1–9.
  • Limpens, V., Buszard, T., Shoemaker, E., Savelsbergh, G. J. P. & Reid, M. (2018). Scaling Constraints in Junior Tennis: The Influence of Net Height on Skilled Players’ Match-Play Performance. Research Quarterly for Exercise and Sport, 89(1), 1–10.
  • McCarthy, J., Bergholz, L. & Bartlett, M. (2016). Re-designing Youth Sport: Change the Game.
  • Memmert, D., Lemmink, K. A. P. M. & Sampaio, J. (2017). Current Approaches to Tactical Performance Analyses in Soccer Using Position Data. 47, 1–10.
  • Muñoz, J., Gamonales, J. M., León, K. & Ibáñez, S. J. (2018). Formación de codificadores y fiabilidad de registros. Una aplicación Global. Revista Internacional de Medicina y Ciencias de La Actividad Física y El Deporte., 18(72).
  • Nakagawa, S. & Cuthill, I. C. (2007). Effect size, confidence interval and statistical significance: a practical guide for biologists. Biol. Rev, 82, 591–605.
  • Otzen, T. & Manterola, C. (2017). Técnicas de Muestreo sobre una Población a Estudio Sampling Techniques on a Population Study. Int. J. Morphol, 35(1), 227–232.
  • Pardo. A, & Ruiz, M. A. (2002). Análisis de varianza de un factor: El procedimiento ANOVA de un factor. In SPSS 11: Guia para el analisis de datos (Mc Graw Hi, pp. 251–256).
  • Renshaw, I. & Chow, J. Y. (2019). A constraint-led approach to sport and physical education pedagogy. Physical Education and Sport Pedagogy, 24(2), 103–116.
  • Schmidhofer, S., Leser, R. & Ebert, M. (2014). A comparison between the structure in elite tennis and kids tennis on scaled courts (Tennis 10s). International Journal of Performance Analysis in Sport, 14(3), 829–840.
  • Shao Liang, Z., Lorenzo Calvo, A. & Ángel Gómez Ruano, M. (2018). Clustering performances in the NBA according to players’ anthropometric attributes and playing experience. Journal of Sports Sciences, 36(22), 2511-2520.
  • Timmerman, E., De Water, J., Kachel, K., Reid, M., Farrow, D. & Savelsbergh, G. (2015). The effect of equipment scaling on children’s sport performance: the case for tennis. Journal of Sports Sciences, 33(10), 1093–1100.
  • Whiteside, D., Cant, O., Connolly, M. & Reid, M. (2017). Monitoring Hitting Load in Tennis Using Inertial Sensors and Machine Learning. International Journal of Sports Physiology and Performance, 12, 1212–1217.
Fonte de datos: Dialnet