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.
Highlights
As for the computer input system with human eyes only based on an image-analysis method, many methods have being proposed so far
Matsuda et al makes the line of sight which connects eyeball rotation center coordinates and a pupil center, and is performing gaze measurement [1]
In order to cancel the gaze estimation error based on the gap of a central fovea to an eyeball center, the refraction in a cornea, and the individual difference concerning the form of a cornea, the calibration which draws a gaze correction coefficient needed to be performed by gazing at two or more indices displayed on the display one by one [3]
Summary
As for the computer input system with human eyes only based on an image-analysis method, many methods have being proposed so far. Cornea center-of-curvature coordinates are the light source of one point, and installing a camera on the optical axis, and are searched for using the general cornea radius-of-curvature value Since they assumed models, such as Japanese typical eyeball form, the error remained in the direction estimation of a gaze not a little, and if these methods did not perform a calibration, when there were, they did not become. In order to cancel the gaze estimation error based on the gap of a central fovea to an eyeball center, the refraction in a cornea, and the individual difference concerning the form of a cornea, the calibration which draws a gaze correction coefficient needed to be performed by gazing at two or more indices displayed on the display one by one [3] Since it was not what permits a motion of a user, the burden has been forced upon the user. Conclusion is described with some discussions and future investigations
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More From: International Journal of Advanced Research in Artificial Intelligence
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