Artificial Intelligence in Sports: Data Analysis to Enhance Training

Palacios Zumba, Efrén Mesías; Aguinda Cajape, Vicente Anderson; Serrano Aguilar, Jorge Luis; Villagomez Arias, Liliana Elizabeth; Realpe Zambrano, Zoila Esther; Ramírez Guamán, Jaime Reinaldo; Posso Pacheco, Richar Jacobo

doi:10.56294/ri202485

Interdisciplinary Rehabilitation / Rehabilitacion Interdiscipli

2024

DOI: 10.56294/ri202485

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Artificial Intelligence in Sports: Data Analysis to Enhance Training

Efrén Mesías Palacios Zumba,

Vicente Anderson Aguinda Cajape,

Jorge Luis Serrano Aguilar

et al.

Abstract: 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 interdiscip… Show more

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Cited by 4 publications

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Deep learning in sports uses neural networks to evaluate data from sensors and cameras, providing coaches and players insights to enhance training methods and performance. Sports skill development include issues with data availability, trouble interpreting methods for coaching purposes, possible financial constraints for players and regional sports teams. To overcome this, we proposed an Artificial Hummingbird Optimized XGBoost (AHO-XGB) to provide accurate predictions and analysis of an athlete's performance.In this study, the research consists of 20 faculty members and 250 learners from 3 universities.Many sports talents are currently taught to students in famous colleges and universities, but they truly become proficient in the skills. To evaluate the performance of the proposed method in terms of accuracy (92.6%), precision (90.5%), and recall (94.3%). The outcome of this research in sports skill learning transforms performance and training analysis by examining large amounts of data and offering suggestions for skill development.

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Deep learning in sports skill learning: a case study and performance evaluation

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EAI Endorsed Trans Perv Health Tech

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Evaluation of Artificial Intelligence Technologies and the Metaverse in Adapting Pedagogical Strategies

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Chica-Montero

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The COVID-19 pandemic accelerated the adoption of artificial intelligence and the metaverse in education, highlighting their potential to personalize learning and provide instant feedback. A descriptive study was conducted with 38 teachers in Quito, evaluating the acceptance of AI technologies through surveys based on the Technology Acceptance Model. The results showed a positive attitude towards AI and the metaverse, influenced by perceived usefulness, ease of use, and self-efficacy. The importance of these factors for technological adoption is emphasized. Despite limitations, the study highlights the potential of AI and the metaverse to enhance educational practices and suggests further research.

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The Business Paradox: Exploring the interaction between the Business Clock and the Sustainable Development Goals through an ethical, sustainable and well-being prism

Mercader,

Ordoñez Santos,

Mercader

2024

Salud, Ciencia y Tecnología - Serie de Conferencias

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La presente investigación se enfoca en la necesidad de las empresas de mejorar en diversas áreas de desempeño y alcanzar logros positivos. Se identificaron 12 variables clave, como ética, liderazgo global, trabajo en equipo, comunicación efectiva, educación/capacitación, tecnología, sostenibilidad, negociación, gestión de finanzas, productividad, toma de decisiones y felicidad empresarial, que son fundamentales para el crecimiento equilibrado de cualquier organización. Estas variables representan las doce horas del reloj empresarial y, cuando se gestionan adecuadamente, equilibrando lo tangible con lo intangible, generan resultados prósperos a largo plazo. Además, se analizaron y se establecieron conexiones entre estas variables, los Objetivos de Desarrollo Sostenible de la ONU y la Taxonomía de Valores éticos de Mercader. Se aplicaron cuestionarios a profesionales graduados, utilizando una escala de Likert, para evaluar la necesidad de las variables en las empresas. Se obtuvieron un total de 4.207 respuestas, las cuales fueron analizadas junto con el género de los participantes. Los resultados obtenidos proporcionan una comprensión de las prioridades, realidades y relevancia de las variables empresariales estudiadas. Esta investigación es novedosa, ya que no se ha realizado previamente en su totalidad ni se ha reflexionado sobre los datos empíricos obtenidos. A pesar de su aparente simplicidad, estos datos representan las realidades y los efectos en el entorno organizacional y empresarial. Por tanto, este estudio es de gran relevancia para empresarios, profesionales, comerciantes, emprendedores, educadores y otros, ya que les permite realizar autoanálisis, aplicar nuevas experiencias y obtener beneficios.

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Artificial Intelligence in Sports: Data Analysis to Enhance Training

Cited by 4 publications

References 21 publications

Deep learning in sports skill learning: a case study and performance evaluation

Deep learning in sports skill learning: a case study and performance evaluation

Evaluation of Artificial Intelligence Technologies and the Metaverse in Adapting Pedagogical Strategies

The Business Paradox: Exploring the interaction between the Business Clock and the Sustainable Development Goals through an ethical, sustainable and well-being prism

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