Evaluation of blinking and the observed place on the monitor

The purpose of this thesis is to create a system for user’s gaze and eye analysis in a driving simulator. There is a research of existing methods for facial landmark detection, head pose and gaze estimation and eye blink detection. Software and hardware of the simulator is described and a camera is added for user recording. In the main part, the Eye Aspect Ratio method is tested for blink detection. Next, head pose detection from facial landmarks is tested. Furthermore, Convolutional Neural Networks are created and trained for gaze estimation. From existing algorithms, OpenFace library is tested. OpenFace library is added to existing software in Unreal Engine and used for gaze and blink detection. A gaze calibration procedure is created and tested for better accuracy