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

Abstract

The described systems and methods determine a driver's fitness to safely operate a moving vehicle based at least in part upon observed stress patterns. A smart ring, wearable on a user's finger, continuously monitors user's physiological and behavioral parameters indicative of being under stress. This stress data, representing stress patterns, can be utilized, in combination with driving data, to train a machine learning model, which will predict the user's level of risk exposure based at least in part upon observed stress patterns. The user can be warned of this risk to prevent them from driving or to encourage them to use an appropriate stress coping strategy before or during driving. In some instances, the disclosed smart ring system may interact with the user's vehicle to prevent it from starting while exposed to high risk due to deteriorated psychological or physiological conditions stemming from being under stress.