Applications of AI in martial arts: A survey.

This article provides a comprehensive survey of the applications of artificial intelligence (AI) in martial arts, focusing on areas such as action recognition, pose estimation, and action evaluation, as well as broader uses including elite athlete support, sports betting, health care, animation generation, and competition field segmentation. It reviews various AI methodologies—ranging from image-based and skeleton-based recognition to wearable sensor data—and discusses machine learning and deep learning algorithms suited for different martial arts styles like Tai Chi, Karate, Taekwondo, and Boxing. The paper also outlines the development of intelligent martial arts systems for teaching, training, and competition analysis, emphasizing the integration of AI with biomechanical data and interactive interfaces. Future directions highlighted include innovations in data acquisition, few-shot learning for underrepresented martial arts, multimodal data fusion, and the need for explainable AI to enhance transparency and trust in AI-driven martial arts applications.