Abstract
Problem statement: Gaze estimation systems compute the direction of e ye gaze based on observed eye movements. The need for gaze-contingent applications is the basis of the current research work. The gaze pointing systems is a substitute for the existing input devices. Approach: The gaze tracking methods are either feature based or appear ance based. In this study, an appearance based approach for gaze tracking is proposed based on Run Length Coding (RLC). The experiment was conducted considering transitional changes and the class-intervals in iris pixels. The image acquisiti on begins from the center of the screen in anticlockwi se direction. The center of the screen was the pivo t point. Results: Using RLC, the recognition rate of 95% was achieved. The image analysis in different directions determines the gaze point. The direction s was determined with respect to the pivot point. Conclusion: The proposed system provides a robust, less computational gaze tracking method usi ng web camera.
Highlights
Eyes provide reliable and prominent features for communication using gaze enabled interfaces
Eye movements are categorized into fixations and saccades
Existing eye gaze tracking systems are confined to controlled environments
Summary
Eyes provide reliable and prominent features for communication using gaze enabled interfaces. Appearance based techniques use the image contents as to map directly to the screen coordinates (Hansen and Ji, 2010) These methods require several significant calibration points to infer the gaze direction from the images. With horizontal head movements parallel to screen, the position of the iris with respect to sclera of eye do not change remarkably as shown in the Fig. 5. An approximation of pupil center is determined by Table 1: Run length of sample 1 for direction D1 considering the summation of intensity values. The proposed system considers gazing pivot irrespective of initial head position In this experiment it is evident that, all the other gaze directions can be identified with respect to pivot using difference in positive transition threshold values.
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