By Topic

Spatially dynamic calibration of an eye-tracking system

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
White, K.P., Jr. ; Sch. of Eng. & Appl. Sci., Virginia Univ., Charlottesville, VA, USA ; Hutchinson, T.E. ; Carley, J.M.

ERICA is a personal-computer workstation developed to provide nonverbal, motor-disabled individuals with a means of communication and environmental control. The system employs computer vision to detect the user's approximate point of regard on a display screen and then invokes the menu option currently appearing at the corresponding screen coordinates. In this way, a severely handicapped user can run menu-driven applications with eye fixations as the only mode of input. This correspondence describes the design and testing of a spatially dynamic calibration for ERICA. The purpose of the new design is to improve the accuracy and precision of point-of-regard estimation by reducing the sensitivity of the system to head movement in the lateral plane (parallel to the display screen). The design introduces a second reference light source, which permits differentiation of head movement from eye rotation in the camera image. Symmetries in point-of-regard estimates for different fixed-head locations, which are observed by simulating the image response to eye and head motions, are exploited in the calibration model. The design is shown to provide accurate point-of-regard estimates in the presence of significant lateral head displacements while simultaneously improving overall estimation precision by approximately 85%

Published in:

Systems, Man and Cybernetics, IEEE Transactions on  (Volume:23 ,  Issue: 4 )