Deep Learning for Uncalibrated Gaze Estimation and Fatigue Detection

This video illustrates the work we are carrying out in the field of Driver Monitoring Systems (DMS) using single camera set-ups, and our latest advances in computer vision and machine learning. Driver attention is monitored by means of estimating the head pose and gaze estimation, for which we use deep learning methods for training inference models. The fatigue of the driver can be also measured processing the observed amplitude of the eyes, which provide information on blinking patterns we can correlate with fatigue levels