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BENEFITS OF ACTIVE INFERENCE METHOD FOR TRAINING PROCESS ANALYSIS IN ELITE ALPINE SKIING SPORT

Authors

  • M.P. Shestakov Federal Science Center of Physical Culture and Sports, Moscow
  • A.S. Kryuchkov Federal Science Center of Physical Culture and Sports, Moscow
  • I.G. Shevtsova Moscow State University; Hangzhou Electrotechnical University
  • A.A. Navolotsky Moscow State University, Moscow
  • T.G. Fomichenko Federal Scientific Center for Physical Culture and Sports, Moscow

Abstract

Objective of the study was to theoretically analyze and test benefits of an active inference method for training process in elite alpine skiing sport.

Methods and structure of the study. We sampled for the active inference method testing experiment national alpine skiers (n=20, equal gender split), qualifiers for the World Cup and tested their training progress by a) Stabilan-01 stabilometric test system with a biological feedback capacity, b) dopamine levels.

Results and conclusion. Dopamine levels in blood served as an indicator of changes in the athletes’ movement control system; these changes were related to execution of different training loads. We registered a decrease in prediction errors after the 21-day long training period aimed at technique adjustment, if compared to the other 21-day long training period aimed at improvement of physical capacities. As provided by the modern theory of active inference, these progresses are largely due to improvements in the somatosensory prediction of the movement results  system performance and, as a result, progress forecasts depending on the somatomotor system state.

Author Biographies

M.P. Shestakov, Federal Science Center of Physical Culture and Sports, Moscow

Dr. Hab., Professor

A.S. Kryuchkov, Federal Science Center of Physical Culture and Sports, Moscow

PhD

I.G. Shevtsova, Moscow State University; Hangzhou Electrotechnical University

Dr.Phys.Math., Professor

T.G. Fomichenko, Federal Scientific Center for Physical Culture and Sports, Moscow

Dr. Hab., Associate Professor

References

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Additional Files

Published

20-05-2022 — Updated on 23-05-2022

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How to Cite

Shestakov, M. ., Kryuchkov, A. ., Shevtsova, . I. ., Navolotsky, A. ., & Fomichenko, . T. . (2022). BENEFITS OF ACTIVE INFERENCE METHOD FOR TRAINING PROCESS ANALYSIS IN ELITE ALPINE SKIING SPORT. Theory and Practice of Physical Culture, (5), 3–6. Retrieved from http://tpfk.ru/index.php/TPPC/article/view/194 (Original work published May 20, 2022)

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Section

THEORY AND METHODS OF SPORTS