Applying deep neural networks for multi-level classification of driver drowsiness using Vehicle-based measures

•Deep neural networks improve the accuracy of driver drowsiness detection.•Different levels of drowsiness are classified using deep convolutional networks.•Recurrent layers outperform convolutional networks for drowsiness detection.•Vehicle data are sufficient to have a good accuracy for drowsiness classification.