The Applications of Artificial Intelligence in Performance Analysis to Obtain Data for Developing Training Programs for Handball Players | ||||
| Journal of Theories and Applications of Physical Education Sport Sciences | ||||
| Article 1, Volume 13, Issue 1 - Serial Number 2636, July 2025, Page 67-84 PDF (463.79 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/jat.2025.395599.1070 | ||||
 View on SCiNiTO | ||||
| Author | ||||
Sara Atef Mohamed 
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| Faculty of Physical Education-sadatcity-elmenofia-Egypt | ||||
| Abstract | ||||
| With the rapid and comprehensive scientific advancements across all fields, it has become essential to utilize various scientific disciplines to enhance athletic performance and akaeve desired excellence. Given that sports practice is interconnected with many other sciences, it is now critically important for sports professionals to recognize and understand scientific discoveries that can be adapted to improve athletic performance. This study aimed to examine the impact of AI applications in analyzing handball players’ performance by assessing through the current use of AI in obtaining handball training data. As well, requirements for implementing AI in handball match analysis using a descriptive methodology, questionnaires were administered to technical/administrative staff and performance analysts (67) persons from Egyptian Handball League clubs. After pilot testing (11), the final sample comprised 56 participants. Key Findings: 1. AI enhances technical and administrative workflows in handball teams. 2. Clubs must adopt AI to generate essential player performance metrics. 3. Handball coakang requires modern technologies to align with global performance analysis trends. 4. AI optimizes training equipment usage and staff up skilling. 5. Digital transformation (wireless infrastructure, software, remote-control systems) demands budget prioritization. | ||||
| Keywords | ||||
| Artificial Intelligence; Performance Level; Training Programs; Handball | ||||
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