Authors:
Sara Suda
;
Kenta Yamagishi
and
Kentaro Takemura
Affiliation:
Tokai University, Japan
Keyword(s):
User Calibration-free, Corneal Surface Image, 3D Eye Model.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Computer Vision, Visualization and Computer Graphics
;
Enterprise Information Systems
;
Human and Computer Interaction
;
Human-Computer Interaction
;
Pervasive Smart Cameras
Abstract:
Various calibration methods to determine the point-of-regard have been proposed for eye tracking. Although
user calibration can be performed for experiments carried out in the laboratory, it is unsuitable when applying
an eye-tracker in user interfaces and in public displays. Therefore, we propose a novel calibration-free
approach for users that is based on the use of the corneal surface image. As the environmental information is
reflected on the corneal surface, we extracted the unwarped image around the point-of-regard from the cornea.
The point-of-regard is estimated on the screen by using the unwarped image, and the regression formula is
solved using these points without user calibration. We implemented the framework of the algorithm, and we
confirmed the feasibility of the proposed method through experiments.