Enhancing karate skill performance through virtual visuals and artificial intelligence techniques

Abstract

In this paper, we explore the integration of virtual visuals and artificial intelligence (AI) techniques to enhance Karate skill performance, specifically focusing on circular strike skills. Traditional Karate training often lacks the diversity of sparring partners and the precise, real-time feedback necessary for optimal skill development. We propose a Mixed Interpretation Diagram (MID) as a display to present performance features, facilitating visual imagery and best practice simulations. By employing virtual sketches and intelligent sense rules, trainees can simulate optimal actions and enhance critical Karate skills. Additionally, we consider the use of Konashi intelligent bands and Reformer indoor screens to monitor muscular fatigue, providing early warnings for recovery tasks. The adoption of augmented reality (AR) and virtual reality (VR) technologies in sports training offers a new vision for enhancing human skill performance. Our v-sports system integrates state-of-the-art AI, human motion analysis, and virtual visual generation techniques, enabling personalized coaching for Karate practitioners. This paper addresses two key research problems: creating meaningful and intuitive body-movement-based presentations of self-image to optimize training, and generating efficient, professional models for guiding without a coach. We present a timeline and percentage breakdown for the development of an AI-assisted Karate training program. This program includes research on circular strike skills, virtual vision setup, AI model training, performance metrics implementation, and comprehensive system testing. The use of VR and AI in Karate training can significantly improve technique accuracy, movement efficiency, training engagement, and personalized feedback, ultimately enhancing overall performance and reducing injury risks. Our findings suggest that integrating VR and AI technologies into Karate training provides a more engaging, effective, and accessible training experience. Future research should focus on improving the accuracy and affordability of these technologies, integrating virtual and real-world training, and ensuring user safety.