Real Time Detection of Driver Cognitive Distraction Using Machine Learning Classifiers

Abstract

According to researchers, 5 to 25%   of car accidents occur due to the driver’s distractions. Distracted driving is an activity that makes the driver lose his concentration in driving. Several researches have identified that distraction is of three types, which include visual distractions, manual distractions and cognitive distractions.  Our approach deals with the cognitive distractions like eye closure, blink rate and yawning using machine learning and deep learning concepts which helps in classifying the image of driver into the different classes and predict if the driver is in distracted state or not.Moreover, the aim of this paper is to detect the state of the driver and avoid road accidents and to ensure safer roads.