Apple Inc.

Borys Lysyansky

Walter Nistico

Andrii Nikiforov

The invention is concerned with a method for performing a calibration procedure for calibrating an eye tracking device (), wherein a stimulus object (S) is displayed within a certain display area (), such that the stimulus object (S) is at least temporarily moving along a defined trajectory () and images of at least one eye () of at least one user () are captured during the displaying of the stimulus object (S). Based on the captured images gaze data are provided and in dependency of the gaze data gaze points (P) of the at least one eye () of the user () with respect to the display area () are determined. Further, at least one calibration parameter (a; a; a; a; a; a; a; a; a; a; a; a; a; a; Θ; R; K; a; b; r) of at least one predefined calibration model (M, M, M, M, M, M, M) is determined in dependency of a first analysis at least of positions of at least part of the respective gaze points (P) with regard to the defined trajectory () of the stimulus object (S). Further, at least one control parameter (N, (A, D), T) is determined in dependency of at least part of the captured gaze data and controlling the execution of at least part of the calibration procedure in dependency of the at least one determined control parameter (N, (A, D), T).

Interactive motion-based eye tracking calibration

The invention is concerned with a method for performing a calibration procedure for calibrating an eye tracking device (), wherein a stimulus object (S) is displayed within a certain display area (), such that the stimulus object (S) is at least temporarily moving along a defined trajectory () and images of at least one eye () of at least one user () are captured during the displaying of the stimulus object (S). Based on the captured images gaze data are provided and in dependency of the gaze data gaze points (P) of the at least one eye () of the user () with respect to the display area () are determined. Further, at least one calibration parameter (a; a; a; a; a; a; a; a; a; a; a; a; a; a; &#x398;; R; K; a; b; r) of at least one predefined calibration model (M, M, M, M, M, M, M) is determined in dependency of a first analysis at least of positions of at least part of the respective gaze points (P) with regard to the defined trajectory () of the stimulus object (S). Further, at least one control parameter (N, (A, D), T) is determined in dependency of at least part of the captured gaze data and controlling the execution of at least part of the calibration procedure in dependency of the at least one determined control parameter (N, (A, D), T).

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Berlin, Germany

Borys Lysyansky