Technical System for Assessing Children’s Motor Potential
https://doi.org/10.35596/1729-7648-2026-24-2-62-68
Abstract
This article presents a software and hardware system developed for a comprehensive multimodal assessment of children’s motor abilities based on an analysis of the kinematic and dynamic characteristics of running locomotion. A detailed algorithm for the system’s operation is considered, describing the stages of its initialization and registration, as well as the processing of multimodal data. The kinematic and dynamic parameters of movement, as well as the generation and presentation of diagnostic results, are calculated. A structural diagram of the system based on a three-tier architecture is presented, describing its main functional blocks. The developed system implements an end-to-end diagnostic process for children, from recording biomechanical signals to generating an interpretable result – an individual motor profile and a final assessment of motor potential on a threepoint scale. The obtained results will improve the accuracy and reliability of the early identification of gifted children with motor development and the development of individual trajectories for their physical development.
About the Author
G. Grigorieva
Churapcha State Institute of Physical Culture and Sport
Russian Federation
Russian Federation
Grigorieva Garsiya, Senior Lecturer at the Department of Pedagogy and Psychology
678670, Churapcha, Sportivnaya St., 2
Тel.: +7 914 827-87-67
References
1. Kuramshin Yu. F., Dveirina O. A., Terekhin V. S. (2022) Evaluation of Sports Giftedness of Children on the Basis of Individual-Typological Approach. Theory and Practice of Physical Culture. (4), 3–5 (in Russian).
2. Cagno A., Battaglia C., Fiorilli G., Piazza M., Giombini А., Fagnani F., et al. (2014) Motor Learning as Young Gymnast’s Talent Indicator. Journal Sports Science and Medicine. 13 (4), 767–773.
3. Preatoni E., La Torre A., Santambrogio G. C., Rodano R. (2010) Motion Analysis in Sports Monitoring Techniques: Assessment Protocols and Application to Racewalking. Medicina Dello Sport. 63 (3), 327–342.
4. Johnson J. D., Hales M., Emert R. (2023) Validation of Machine Vision and Action Sport Cameras for 3D Motion Analysis Model Reconstruction. Scientific Reports. 13. https://doi.org/10.1038/s41598-023-46937-9.
5. Turantaeva G. G., Davydova N. S., Vasyuk V. E. (2024) Deterministic Biomechanical Model of Running. Physical Culture, Sport, Science and Education: Collection of Materials of the VIII All-Russian Scientific and Practical Conference, Churapcha, Apr. 10, 2024. Churapcha, Churapcha State Institute of Physical Culture and Sports. 184–190 (in Russian).
6. Turantaeva G. G., Guseinov D. I., Davydova N. S., Vasyuk V. E. (2024) Possibilities of Using Motion Capture Systems in Assessing the Effectiveness of Running Locomotion in Children. Modern Directions of Innovative Research of Young Scientists in the Field of Physical Culture and Sports. Collection of Materials of the II All-Russian Scientific and Practical Conference (in Russian).
7. Turantaeva G. G., Davydova N. S., Vasyuk V. E., Tatarko K. I. (2025) Algorithm for Correcting the Trajectory of Athletes’ Movement Based on a Rotation Matrix. BIG DATA and Advanced Analytics: Collection of Scientific Articles of the XI International Scientific and Practical Conference, Minsk. Minsk, Belarusian State University of Informatics and Radioelectronics. 97–102 (in Russian).
8. Turantaeva G. G., Davydova N. S., Vasyuk V. E. (2024) Assessment of Motor Giftedness of Children Based on the Analysis of Running Locomotion. From the International Sports Games “Children of Asia” to University Sport, Collection of Scientific Papers of the International Scientific Conference within the Framework of the VIII International Sports Games “Children of Asia” and the 25th Anniversary of the Churapcha State Institute of Physical Culture and Sport, Yakutsk, July 4–5. Yakutsk, Dani-Almas Publ. 299–303 (in Russian).
9. Turantaeva G. G., Davydova N. S., Vasyuk V. E., Tatarko K. I. (2025) Method for Comprehensive Assessment of Motor Giftedness in Children. Future Technologies: Synergy of Science and Practice: Collection of Scientific Articles, March 17. Ulyanovsk, Zebra Publ. 60–64 (in Russian).
10. Grigoreva G. G., Davydova N. S., Vasyuk V. E. (2025) Analysis of Dynamic Parameters of Children’s Running During Support Interactions with a Force Platform. Prospects of Digitalization and Technological Innovations: Challenges and Opportunities: Collection of Articles of the International Scientific and Practical Conference, Kazan, Aug. 17. Ufa, OMEGA SCIENCE Publ. 20–28 (in Russian).
11. Grigorieva G. G., Davydova N. S., Vassiouk V. E., Shukurov K. Е. (2025) Analysis of Kinematic Parameters of Running in Children Based on Motion Capture. Doklady BGUIR. 23 (4), 92–100. http://dx.doi.org/10.35596/1729-7648-2025-23-4-92-100 (in Russian).
12. Grigoreva G. G., Davydova N. S., Vasyuk V. E. (2025) Algorithm for Calculating Spatiotemporal Characteristics of Running in Children Based on Markerless Motion Capture Technology. Vesnik of Yanka Kupala State University of Grodno. 15 (2), 26–35 (in Russian).
13. Geron A. (2022) Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems. St. Petersburg, Piter Publ. (in Russian). Received: 6 March 2026 Accepted: 2 April 2026
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For citations:
Grigorieva G. Technical System for Assessing Children’s Motor Potential. Doklady BGUIR. 2026;24(2):62-68. (In Russ.) https://doi.org/10.35596/1729-7648-2026-24-2-62-68
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