Human gaze provides valuable information on human focus and intentions, making it a
crucial area of research. Recently, deep learning has revolutionized appearance-based …

Eye gaze analysis is an important research problem in the field of Computer Vision and
Human-Computer Interaction. Even with notable progress in the last 10 years, automatic …

Inter-personal anatomical differences limit the accuracy of person-independent gaze
estimation networks. Yet there is a need to lower gaze errors further to enable applications …

Human gaze estimation plays a major role in many applications in human–computer
interaction and computer vision by identifying the users' point-of-interest. Revolutionary …

Appearance-based gaze estimation problem received wide attention over the past few
years. Even though model-based approaches existed earlier, availability of large datasets …

The automatic detection of eye positions, their temporal consistency, and their map** into
a line of sight in the real world (to find where a person is looking at) is reported in the …

Synchronous online learning has become a trend in recent years. However, instructors often
face the challenge of inferring audiences' reactions and learning status without seeing their …

In recent years, we have witnessed an increasing number of interactive systems on
handheld mobile devices which utilise gaze as a single or complementary interaction …

Eye tracking is prevalent in scientific and commercial applications. Recent computer vision
and deep learning methods enable eye tracking with off-the-shelf webcams and reduce …

In this work we evaluate neural networks, support vector machines and decision trees for the
regression of the center of the eyeball and the optical vector based on the pupil ellipse. In …