DEVELOPMENT AND TESTING OF A HARDWARE AND SOFTWARE COMPLEX FOR DIAGNOSING THE SENSORIMOTOR PERCEPTUAL ABILITIES OF YOUNG TENNIS PLAYERS
- Authors: Biryukov I.A.1, Il'icheva O.V.1
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Affiliations:
- Moscow State Academy of Physical Culture
- Issue: No 1 (2026)
- Pages: 87-93
- Section: Theory and methodology of sports
- URL: https://ogarev-online.ru/1994-4683/article/view/382381
- DOI: https://doi.org/10.5930/1994-4683-2026-1-87-93
- ID: 382381
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Abstract
The purpose of the study is to develop and test a comprehensive system for diagnosing the sensory-perceptual abilities of young tennis players aged 8-16, which includes the creation of a specialized hardware and software complex, the development of a methodology for its application, and the establishment of age-specific standards for key diagnostic indicators.
Research methods. The research methodology included a procedure of standardized diagnostic testing, the formation of a representative sample of 145 athletes, statistical processing of data using the percentile method, and a correlation analysis (Spearman's coefficient) for validation.
Research results and conclusions. An innovative hardware-software complex has been developed based on a sensor-equipped racket with integrated piezoelectric sensors, an inertial module, and a tactile feedback system, as well as specialized software for real-time data analysis. A valid diagnostic toolkit has been created, providing quantitative assessment of more than 25 biomechanical parameters. A comprehensive system of age-specific norms has been established for 15 key indicators (anticipation accuracy, reaction time, SPQ integral index, etc.), differentiated across six levels of preparedness. The age-related dynamics of sensory-perceptual abilities have been identified, with the greatest growth observed between ages 10 and 13. The methodology's high predictive value has been confirmed: the indicators show statistically significant correlations with the regional ranking. The developed and tested hardware-software system represents a standardized, objective system for monitoring the development of sensory-perceptual abilities. The results obtained are of practical significance for individualizing the training process, timely correcting identified deficiencies, and objectively selecting promising young tennis players at the stages of long-term training.
Research methods. The research methodology included a procedure of standardized diagnostic testing, the formation of a representative sample of 145 athletes, statistical processing of data using the percentile method, and a correlation analysis (Spearman's coefficient) for validation.
Research results and conclusions. An innovative hardware-software complex has been developed based on a sensor-equipped racket with integrated piezoelectric sensors, an inertial module, and a tactile feedback system, as well as specialized software for real-time data analysis. A valid diagnostic toolkit has been created, providing quantitative assessment of more than 25 biomechanical parameters. A comprehensive system of age-specific norms has been established for 15 key indicators (anticipation accuracy, reaction time, SPQ integral index, etc.), differentiated across six levels of preparedness. The age-related dynamics of sensory-perceptual abilities have been identified, with the greatest growth observed between ages 10 and 13. The methodology's high predictive value has been confirmed: the indicators show statistically significant correlations with the regional ranking. The developed and tested hardware-software system represents a standardized, objective system for monitoring the development of sensory-perceptual abilities. The results obtained are of practical significance for individualizing the training process, timely correcting identified deficiencies, and objectively selecting promising young tennis players at the stages of long-term training.
About the authors
Il'ya Andreevich Biryukov
Moscow State Academy of Physical Culture
Email: ilyatennisucheba@gmail.com
ORCID iD: 0009-0002-7449-9644
SPIN-code: 8797-3958
Ol'ga Vladimirovna Il'icheva
Moscow State Academy of Physical Culture
Email: ilichovao@yandex.ru
ORCID iD: 0009-0007-7312-9218
SPIN-code: 9446-2570
candidate of sciences in biology
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