Abstract
In this paper two pupil detection algorithms (based on Starburst and circular Hough transform) for the eye tracking application are presented. The operation of the eye tracker device depends mainly on the infrared video camera performances, PC processing power of the video signals and the precision of the pupil detection algorithm. Both algorithms used for the eye tracker implementation have been comparatively analyzed in different conditions for a set of subjects in the field of assistive technology. The performances of the proposed system, given by algorithm running time, cursor stability on the user screen and algorithm accuracy, have been presented.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
