Researchers from Korea National Sport University developed machine learning (ML) models capable of classifying the execution of the Poomsae side kick, using kinematic data—joint angles, velocities, and timing—alongside physical attributes such as height, weight, and training experience. The study was published in the Journal of Sports Sciences (Taylor & Francis, 2025).