Smart ring system for measuring stress levels and using machine learning techniques to predict high risk driving behavior

This invention describes a smart ring system that monitors a user's stress levels by continuously collecting physiological, biochemical, gestural, and hand grip pressure data. This stress information is then combined with driving data to train a machine learning model. The model predicts when a driver is at high risk due to stress, allowing the system to warn the user or even prevent the vehicle from starting.