Driver Drowsiness Detection using Convoluted Neural Networks

Abstract

Driver drowsiness is one of the leading causes of accidents among motorists today, therefore it is recognized as a serious problem that needs to be resolved. Although there have been many methods proposed in the past to tackle this issue, computer vision seems to be the most promising tool to detect driver drowsiness. Previous works have focused on particular features of the driver's face and made used of handcrafted algorithms to detect drowsiness in an individual, this paper, however, aims to make use of a convoluted neural network to determine how features of the face give an indication of driver drowsiness.