Artificial Intelligence in Sports: Data Analysis to Enhance Training

• Palacios Zumba, Efrén Mesías ^[1] ; Aguinda Cajape, Vicente Anderson ^[2] ; Serrano Aguilar, Jorge Luis ^[2] ; Villagomez Arias, Liliana Elizabeth ^[4] ; Realpe Zambrano, Zoila Esther ^[3] ; Ramírez Guamán, Jaime Reinaldo ^[5] ; Posso Pacheco, Richar Jacobo ^[6]
  1. [1] Universidad Central del Ecuador

     Universidad Central del Ecuador

     Quito, Ecuador

     
  2. [2] Universidad Tecnica de Machala

     Universidad Tecnica de Machala

     Machala, Ecuador

     
  3. [3] Universidad Técnica del Norte

     Universidad Técnica del Norte

     San Miguel De Ibarra, Ecuador

     
  4. [4] Unidad Educativa Comunitaria Intercultural Bilingüe Kitu kara. Quito, Ecuador
  5. [5] Unidad Educativa "Dr. José María Velasco Ibarra”. Quito, Ecuador
  6. [6] Ministerio de Educación. Quito, Ecuador

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• Localización: SAP Rehabilitation and Sports Medicine, ISSN-e 3125-246X, Nº. 4, 2024 (Ejemplar dedicado a: Rehabilitation and Sports Medicine)
• Idioma: inglés
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  • The objective of this article was to explore the role of artificial intelligence in the field of sports, focusing on data analysis to enhance training. A literature review was conducted to examine different artificial intelligence algorithms to identify patterns and trends that enable the application of effective and personalized training strategies. Additionally, practical and ethical implications of using artificial intelligence in sports were discussed, along with potential future directions for interdisciplinary research and sports development. In conclusion, the transformative potential of artificial intelligence in sports is revealed, emphasizing its ability to personalize training and enhance athlete performance.