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Abstract

Eye-tracking systems and methods for use in consumer-class virtual reality (VR)/augmented reality (AR) applications, among other uses, are described. Certain embodiments combine optical eye tracking that uses camera-based pupil and corneal reflection detection with optical flow hardware running at a higher frequency. This combination provides the accuracy that can be attained with the former and at the same time adds the desirable precision and latency characteristics of the latter, resulting in a higher performing overall system at a relatively reduced cost. By augmenting a camera tracker with an array of optical flow sensors pointed at different targets on the visual field, one can perform sensor fusion to improve precision. Since the camera image provides an overall picture of eye position, that information can be used to cull occluded optical flow sensors, thus mitigating drift and errors due to blinking and other similar phenomena.

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First Claim