Enhancing Martial Arts Safety Through 6G-Enabled Risk Assessment and Alert Systems: A Model for Enterprise Engineering and Semantic Integrity

Abstract

This paper proposes an advanced approach to enhance athlete safety in martial arts competitions by integrating 6G-enabled technologies with enterprise engineering and semantic integrity principles. Wearable sensors within a 6G network capture vital physiological data, such as temperature, pulse rate, opponent-induced force, and ECG signals. These data are analyzed using an Optimized Support Vector Risk Prediction Model (OSVRPM), optimized through the Vinegar Fly Optimization Algorithm (VFOA), to accurately assess athlete risk levels during competitions. Real-time alert messages, facilitated by the 6G wireless network, are disseminated to medical personnel, judges, referees, and athletes upon identifying heightened risk, ensuring swift intervention and reinforcing safety protocols in martial arts tournaments. This innovative integration exemplifies the application of modeling with enterprise engineering and semantic integrity to safeguard athletes in dynamic competitive environments.