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AssigneeGoogle Inc.
InventorsDmitry Lagun, Gautam Prasad, Pezhman Firoozfam, Jimin Pi
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The technology relates to methods and systems for implicit calibration for gaze tracking. This can include receiving, by a neural network module, display content that is associated with presentation on a display screen. The neural network module may also receive uncalibrated gaze information, in which the uncalibrated gaze information includes an uncalibrated gaze trajectory that is associated with a viewer gaze of the display content on the display screen. A selected function is applied by the neural network module to the uncalibrated gaze information and the display content to generate a user-specific gaze function. The user-specific gaze function has one or more personalized parameters. And the neural network module can then apply the user-specific gaze function to the uncalibrated gaze information to generate calibrated gaze information associated with the display content on the display screen. Training and testing information may alternatively be created for implicit gaze calibration.
A computer-implemented method of creating training and testing information for implicit gaze calibration, the method comprising:
A system comprising:
A non-transitory computer-readable medium having instructions stored thereon, wherein, when the instructions are executed by one or more processors of a computing system, a method of creating training and testing information for implicit gaze calibration is implemented, the method comprising:
Dependencies are inferred from the claim text.