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Analysis of Kinematic Parameters of Running in Children Based on Motion Capture

https://doi.org/10.35596/1729-7648-2025-23-4-92-100

Abstract

An algorithmic approach to the analysis of kinematic parameters of running in children using markerless motion capture systems is presented. Key aspects of the efficiency of running locomotion are analyzed, algorithms for calculating temporal and spatial parameters of running based on the matrices of coordinates of biokinematic landmarks of the human body are developed. The proposed data analysis technique provides highly accurate quantitative indicators, which, in turn, contributes to a more in-depth biomechanical study of sports movements in children. This approach not only increases the reliability of the results obtained, but also opens up new horizons for further research in the field of physical education and sports medicine.

About the Authors

G. G. Grigorieva
Belarusian National Technical University
Belarus

Grigorieva Garsiia Gavrilievna, Postgraduate of the Department of Sports Engineering 

220013, Minsk, Nezavisimosty Avе., 65 

Tel.: +375 33 916-42-12 



N. S. Davydova
Belarusian State University of Informa­tics and Radioelectronics
Belarus

Cand. Sci. (Tech.), Associate Professor at the Academic Department of Infocommunication Technologies 

Minsk 



V. E. Vassiouk
Belarusian State University of Physical Culture
Belarus

Cand. Sci. (Ped.), Associate Professor, Leading Specialist at the Center for Coordination of Scientific, Methodological and Innovative Activities



K. E. Shukurov
Tashkent University of Information Technologies named after Muhammad al-Khwarizmi
Uzbekistan

Cand. Sci. (Tech.), Associate Professor at the Department of Artificial Intelligence 

Tashkent 



References

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Review

For citations:


Grigorieva G.G., Davydova N.S., Vassiouk V.E., Shukurov K.E. Analysis of Kinematic Parameters of Running in Children Based on Motion Capture. Doklady BGUIR. 2025;23(4):92-100. (In Russ.) https://doi.org/10.35596/1729-7648-2025-23-4-92-100

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ISSN 1729-7648 (Print)
ISSN 2708-0382 (Online)