Abstract
A human gaze detection and tracing method is importantly required for HMI(Human-Machine-Interface) like a Human-Serving robot. This paper proposed a novel three-dimension (3D) human gaze estimation method by using a face recognition, an orientation estimation and SVMs (Support Vector Machines). 2,400 images with the pan orientation range of <TEX>$-90^{\circ}{\sim}90^{\circ}$</TEX> and tilt range of <TEX>$-40^{\circ}{\sim}70^{\circ}$</TEX> with intervals unit of <TEX>$10^{\circ}$</TEX> were used. A stereo camera was used to obtain the global coordinate of the center point between eyes and Gabor filter banks of horizontal and vertical orientation with 4 scales were used to extract the facial features. The experiment result shows that the error rate of proposed method is much improved than Liddell's.
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