Abstract: Error analysis of line of sight estimation using Purkinje images for eye-based Human-Computer Interaction: HCI is conducted. Double Purkinje images which are obtained by two points of light sources are used in the proposed method for eye rotation angle estimation. It aimed at the improvement of the eyeball rotation angle accuracy by simply presuming the value of the curvature radius of the cornea. This technique is a cancellation of the time of the calibration that is the problem of past glance presumption. By presuming the size of the radius of curvature of the cornea. As a result, the eyeball rotation angle presumption accuracy of about 0.98deg was obtained 0.57deg and horizontally in the vertical direction without doing the calibration.

Kohei Arai, “Error Analysis of Line of Sight Estimation using Purkinje Images for Eye-based Human-Computer Interaction: HCI” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 5(10), 2016. http://dx.doi.org/10.14569/IJARAI.2016.051003

@article{Arai2016,
title = {Error Analysis of Line of Sight Estimation using Purkinje Images for Eye-based Human-Computer Interaction: HCI},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2016.051003},
url = {http://dx.doi.org/10.14569/IJARAI.2016.051003},
year = {2016},
publisher = {The Science and Information Organization},
volume = {5},
number = {10},
author = {Kohei Arai}
}