Phase portrait of control movements – one of the criteria of technical skill of an athlete
ˑ:
Dr. Hab., Professor V.I. Zagrevskiy1, 2
Dr. Hab., Professor O.I. Zagrevskiy2
PhD, Associate Professor D.A. Lavshuk1, 2
1Educational Establishment Mogilev State A. Kuleshov University, Mogilev, Belarus
2National Research Tomsk State University, Tomsk
Objective of the study was to develop an integral criterion of an athlete’s technical skill and a computer application for constructing a phase portrait of sports exercises.
Methods and structure of the study. The research instrumental base is video materials of gymnastic exercises, computer tools for processing research results using the MatLab software environment. Performer: A. Bergovin, Master of Sports in artistic gymnastics, Republic of Belarus. Two revolutions were performed in a row, which were compared with each other based on phase portraits.
Results and conclusions. It was revealed that the deformation of the kinematic control structure is most significant in changing the area of the phase portrait and varies within 15-30% of the area of the original image, which, however, does not lead to a significant restructuring of the technical basis of the motor action and makes it possible to implement the target setting of the exercise. Amplitude changes in executive function are less significant in solving a motor task than the rate of change in the joint angle. A comprehensive «Kinematic Control» functionality has been developed, which allows for an integral assessment of the athletes technical skill.
Keywords: trajectory of the biomechanical system, phase portrait, gymnastic exercises.
References
- Amos Gilat MATLAB. Teoriya i praktika [MATLAB. Theory and practice]. 5th ed. Smolentsev N.K. [transl.]. Moscow: DMK Press publ., 2016. 416 p.
- Gaverdovskiy Yu.K. Obucheniye sportivnym uprazhneniyam. Biomekhanika. Metodologiya. Didaktika [Training in sports exercises. Biomechanics. Methodology. Didactics]. Moscow: Fizkultura i Sport publ., 2007. 912 p.
- Dyakonov V.P. MATLAB. Polnyy samouchitel [MATLAB. Complete tutorial]. Moscow: DMK Press publ., 2012. 768 p.
- Zagrevskiy V.I., Zagrevskiy O.I., Lavshuk D.A. Formalizm Lagranzha i Gamiltona v modelirovanii dvizheniy biomekhanicheskikh sistem [Formalism of Lagrange and Hamilton in modeling the movements of biomechanical systems]. Monograph. Mogilev: MGU im. A.A. Kuleshova publ., 2018. 296 p.
- Samsonova A.V., Tsipin L.L, Barnikova I.E. Perspektivy ispolzovaniya fazovogo prostranstva v informatsionnom obespechenii analiza sportivnykh dvizheniy [Prospects for using phase space in information support for the analysis of sports movements]. Nauchno-tekhnicheskiy vestnik Povolzhya. 2019. No. 9. pp. 40-43.