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Eye Gaze Tracking System Under Natural Head Movements  

Matthew, Sked (Electrical, Computer, and Systems Engineering Department, RPI)
Qiang, Ji (Electrical, Computer, and Systems Engineering Department, RPI)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SC / v.41, no.5, 2004 , pp. 57-64 More about this Journal
Abstract
We proposed the eye gaze tracking system under natural head movements, which consists of one narrow-view field CCD camera, two mirrors which of reflective angles are controlled and active infra-red illumination. The mirrors' angles were computed by geometric and linear algebra calculations to put the pupil images on the optical axis of the camera. Our system allowed the subjects head to move 90cm horizontally and 60cm vertically, and the spatial resolutions were about 6$^{\circ}$ and 7$^{\circ}$, respectively. The frame rate for estimating gaze points was 10～15 frames/sec. As gaze mapping function, we used the hierarchical generalized regression neural networks (H-GRNN) based on the two-pass GRNN. The gaze accuracy showed 94% by H-GRNN improved 9% more than 85% of GRNN even though the head or face was a little rotated. Our system does not have a high spatial gaze resolution, but it allows natural head movements, robust and accurate gaze tracking. In addition there is no need to re-calibrate the system when subjects are changed.
Keywords
Eye movement; Gaze tracking; Non-invasive; Generalized Neural Network;
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