International Conference on Artificial Intelligence Applications in Sports Performance
(ICAAISP-27)

This track explores the integration of artificial intelligence in sports analytics to enhance performance metrics. Researchers will present innovative methodologies for data collection and analysis that inform coaching strategies and athlete development.

Focusing on the application of machine learning techniques, this track examines predictive modeling for injury risk assessment in athletes. Contributions will highlight how AI can identify risk factors and optimize training regimens to minimize injuries.

This session delves into the use of digital tools for biomechanical analysis in sports science. Presentations will showcase advancements in motion capture technology and their implications for performance optimization.

This track investigates the development of AI-based coaching support systems that enhance athlete training and performance. Discussions will center on the effectiveness of these systems in providing real-time feedback and personalized training plans.

Exploring the intersection of functional training and artificial intelligence, this track aims to present research on how AI can tailor functional training programs for athletes. Papers will discuss the impact of personalized training on performance outcomes.

This session focuses on the application of AI technologies in optimizing endurance training for athletes. Researchers will share findings on how predictive analytics can enhance training efficiency and performance sustainability.