Training system informatization process in volleyball

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PhD, Associate Professor Yu.V. Nechushkin1
Independent expert N.N. Chubukov1
1Bauman Moscow state technical university, Moscow

Objective of the study was to scientifically substantiate the introduction into the training and competitive processes of the most recent advances in information, biomechanical, sensitivity technologies and communication media.
Methods and structure of the study. The following methods were applied during the study: informative-receptive, analytical, analysis of scientific and methodological literature. Computer processing of the data obtained was performed using a factor analysis.
Study results and conclusions. The article considers a scientific-methods substantiation of introduction into the training and competitive processes of the most recent advances in information, biomechanical, sensitivity technologies and communication media. We developed a conceptual framework for achieving high competitive results in volleyball tournaments, reflecting the relationship between the main ingredients of victory in volleyball tournaments. The central element of the scheme is a volleyball court, which line marking is linked to the trajectory-dynamic characteristics of the ball and current coordinates of the players in terms of the integrable increase in the number of movements: when moving around the court and moving the ball. The model of the game is covered by contours: tactical, within the current volleyball match, and strategic, determining the match win.
The conceptual framework involves factors that determine both personal excellence and teamwork. The game is described by a system of dynamic equations, where state variables are calculated and updated on the basis of continuously recorded data: trajectory of the ball, distribution of volleyball players on the volleyball court, their motor kinematics and dynamics of movements, actions with the ball. Therefore, effective digital volleyball simulation contributes to the optimization of managerial decision-making in sports training system.

Keywords: position, volleyball, digitalization, extreme task, training process, competition

References

  1. Glasko A.V., Sadykhova L.G. Matematicheskaya model psikhicheskogo vremeni [Mathematical model of mental time]. Zhurnal vyisshey nervnoy deyatelnosti im. I.P. Pavlova. 2014. no. 64 (4). p. 388.
  2. Egiazaryan A.A., Svishchev I.D., Pavlova A.V. Biomekhanicheskie pokazateli usiliy bortsov greko-rimskaya stilya pri vytalkivanii sopernika [Execution effort rating biomechanics for push-out holds in greco-roman wrestling]. Teoriya i praktika fiz. kultury. 2018. no. 12. pp. 79-81.
  3. Kornilov A.N., Belyaev V.S. Tselenapravlennoe izmenenie struktury dvizheniy i operativny samokontrol v tyazheloy atletike [Targeted change in movement structure and operational self-control in weightlifting]. Teoriya i praktika fiz. Kultury. 2012. no. 5. p. 5.
  4. Maraffi K. Sozdanie personazhey v MAYA. Modelirovanie i animatsiya [Character Creation at MAYA. Modeling and animation]. M.: Williams publ., 2004. 448 p.
  5. Nechushkin Yu.V., Obolonskiy Yu.V., Ulyaeva L.G. Predsorevnovatelnye psikhicheskie sostoyaniya v sportivnoy deyatelnosti [Precompetitive mental states in sports activities]. Zhivaya psikhologiya. 2017. no. 4 (4). pp. 301-310.
  6. Nechushkin Yu.V., Orlov V.A., Semikin G.I. Rezultaty monitoringa fizicheskoy podgotovki studentov-pervokursnikov moskovskikh universitetov na osnove testovoy programmy «Vserossiyskogo fizkulturno-sportivnogo kompleksa GTO» [Results of physical fitness monitoring in first-year students of Moscow universities based on GTO complex test program]. Zhivaya psikhologiya. 2018. no. 5 (2). pp. 133-146.
  7. Nikolaev Yu.N., E.A. Shmurnov, N.N. Chubukov Ispolzovanie multinanosensornogo podhoda dlya povyisheniya ekologicheskoy bezopasnosti i obitaemosti voennoy avtomobilnoy tehniki []. Vooruzhenie i ekonomika. 2009. no. 4 (8). pp. 9-13.
  8. Spiridonov I.N., Chubukov N.N., Kolpakov A.V. Avtomaticheskaya sistema pasportnogo kontrolya na osnove biometricheskih tehnologiy [Automatic passport control system based on biometric technologies]. Vestnik MGTU im. Н.E. Baumana. 2011. no. 3. pp 65-70.
  9. Guznenkov, V., Zhurbenko, P. Electronic geometric modeling is the basis of modern geometric-graphic education in the technical university. Advances in Intelligent Systems and Computing 809 (2019) 1268–1273.
  10. Koltunov I.I., Panfilov A.V., Poselsky I.A., Chubukov N.N., Krechetov I.V. Research and Methodological Approach to Diagnostic Prediction for use in Body Area Sensory Networks for Medical Purpose. Biomed Pharmacol J 10 (4) (2017) 2017-2025.
  11. Nazаrova A.V., Zhai M. Distributed Solution of Problems in Multi Agent Robotic Systems. Studies in Systems, Decision and Control 174 (2019) 107–124.
  12. Tyurikov A.G., Kosarenko N.N., Gvozdeva T.B., Voronina M.V., Grishnova E.Y., Solovyeva N.A. New social reality in the context of information and communication technologies. XLinguae 11(3) (2018) 67–75.