Investigating camera calibration for eye tracking of the physically challenged
EE Department, College of Engineering, UAE University, UAE
This paper tries to address a problem faced by a proportion of community - the paralysed people, and investigates a solution in calibrating a camera used for the purpose of eye detection. The eye tracking is later used to read characters from a partner-assisted keyboard. As such, this keyboard solves the problem of immobility. In order to calibrate camera for the purpose of eye detection, two approaches are implemented-Artificial Neural Networks and Support Vector Machines in context of paralysed people, and are discussed in detail in this paper. The results of both approaches are compared in order to select the best approach to be used in keyboard that operates on eye tracking.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.