Apple Inc.

Sensomotoric Instruments Gesellschaft Fur Innovative Sensorik Mbh

Hao Qin

Walter Nistico

Tom Sengelaub

Hua Gao

Kun Liu

Julia Benndorf

Some implementations of the disclosure involve, at a device having one or more processors, one or more image sensors, and an illumination source, detecting a first attribute of an eye based on pixel differences associated with different wavelengths of light in a first image of the eye. These implementations next determine a first location associated with the first attribute in a three dimensional (3D) coordinate system based on depth information from a depth sensor. Various implementations detect a second attribute of the eye based on a glint resulting from light of the illumination source reflecting off a cornea of the eye. These implementations next determine a second location associated with the second attribute in the 3D coordinate system based on the depth information from the depth sensor, and determine a gaze direction in the 3D coordinate system based on the first location and the second location.

Sensor fusion eye tracking

The invention relates to an eye tracking system () and a method for operating an eye tracking system () for determining if one of a left and a right eye of a user is dominant, wherein at least one image of the left and the right eye of the user is captured (S), based on the at least one image and according to a predefined accuracy function a left accuracy score for the left eye (S) and a right accuracy score for the right eye (S) is determined and it is determined if one of the left and the right eye of the user is dominant in dependency of at least the left and the right accuracy score (S). Thereby user-specific properties relating to his eyes can be provided and considered when performing eye tracking so that the robustness and accuracy of eye tracking can be enhanced.

Eye tracking system and method to detect the dominant eye

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Berlin, Germany

Hao Qin