Facebook, Inc.

Benjamin Antoine Georges Lefaudeux

Martin Henrik Tall

Javier San Agustin Lopez

Henrik Hegner Tomra Skovsgaard

Javier San Augustin Lopez

A user of a computing device may interact with and control objects and applications displayed on the computing device through the user's eye movement. Detected gaze locations are correlated with actions performed by the user and compared with typical gaze locations for those actions. Based on differences between the detected and expected gaze locations, the eye tracking system can be recalibrated. An area around a gaze location encompassing a set of likely active locations can be enlarged, effectively prompting the user to interact with the desired active location again. The enlarging of the area serves to separate the active locations on the screen, reducing the probability of interpreting the user's gaze incorrectly.

Dynamic eye tracking calibration

An image of a user's eyes and/or face, captured by a camera on the computing device or on a device coupled to the computing device, may be analyzed using computer-vision algorithms, such as eye tracking and gaze detection algorithms, to determine the location of the user's eyes and estimate the gaze information associated with the user. A user calibration process may be conducted to calculate calibration parameters associated with the user. These calibration parameters may be taken into account to accurately determine the location of the user's eyes and estimate the location on the display at which the user is looking. The calibration process may include determining a plane on which the user's eyes converge and relating that plane to a plane of a screen on which calibration targets are displayed.

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Copenhagen, Denmark

Benjamin Antoine Georges Lefaudeux