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We built a custom video-based eye-tracker that saves every video frame as afull resolution image (MJPEG). Images can be processed offline for thedetection of ocular features, including the pupil and corneal reflection (FirstPurkinje Image, P1) position. A comparison of multiple algorithms for detectionof pupil and corneal reflection can be performed. The system provides forhighly flexible stimulus creation, with mixing of graphic, image, and videostimuli. We can change cameras and infrared illuminators depending on the imagequalities and frame rate desired. Using this system, we have detected theposition of the Fourth Purkinje image (P4) in the frames. We show that when weestimate gaze by calculating P1-P4, signal compares well with gaze estimatedwith a DPI eye-tracker, which natively detects and tracks the P1 and P4.

Custom Video-Oculography Device and Its Application to Fourth Purkinje Image Detection during Saccades