  Human eye gaze detection plays an important role in various fields, including
human-computer interaction, virtual reality and cognitive science. Although
different relatively accurate systems of eye tracking and gaze detection exist,
they are usually either too expensive to be bought for low cost applications or
too complex to be implemented easily. In this article, we propose a
non-wearable system for eye tracking and gaze detection with low complexity and
cost. The proposed system provides a medium accuracy which makes it suitable
for general applications in which low cost and easy implementation is more
important than achieving very precise gaze detection. The proposed method
includes pupil and marker detection using infrared image processing, and gaze
evaluation using an interpolation-based strategy. The interpolation-based
strategy exploits the positions of the detected pupils and markers in a target
captured image and also in some previously captured training images for
estimating the position of a point that the user is gazing at. The proposed
system has been evaluated by three users in two different lighting conditions.
The experimental results show that the accuracy of this low cost system can be
between 90% and 100% for finding major gazing directions.
