Using Advanced Technology in Developing Performance Tests for Gymnastics

Authors

  • Asst. Lect. Azhar Khaled Masir Hassan

DOI:

https://doi.org/10.58305/ejsst.v14i53.492

Keywords:

Advanced technology, performance tests, gymnastics

Abstract

Introduction In recent years, technology has witnessed tremendous progress that has greatly affected all aspects of life, including sports. Technology has become a vital tool in developing and improving sports performance, especially in gymnastics. This research aims to explore how advanced technology can improve performance tests in gymnastics through three main areas: motion analysis, videography, and the use of artificial intelligence. Research problem Despite technological progress, tools such as survey forms, physical and skill tests have been used to evaluate performance. Data collection methods The study used several tests to evaluate physical and technical performance, such as the vertical jump test, the static balance test, the flexibility test, the front and back roll test, the front flip test, the kinetic chain test, and the endurance test. Exploratory and field experiment Pre-tests were conducted and a proposed training program was applied for 8 weeks, then post-tests were conducted to analyze the program's effect, Conclusions Significant improvement in performance: The study showed a significant improvement in the physical and technical performance of athletes. Effectiveness of motion analysis and videography: These tools helped provide accurate assessments and improve performance. Role of artificial intelligence: Contributed to providing personalized recommendations and achieving tangible improvements in performance. Importance of continuous evaluation: Continuous evaluation helped identify improvements and areas that need development. Recommendations Continued use of advanced technology: It is recommended to continue using motion sensors, videography, and artificial intelligence techniques. Designing customized training programs: Training programs should be designed based on data extracted from motion analysis and videography.

Published

2024-08-25