Tobii Ab

Per Fogelström

Andreas Klingström

Niklas Ollesson

Anna Redz

Anders Dahl

Andrew Ratcliff

There is provided mechanisms for calibration of an eye tracking system. An eye tracking system comprises a pupil centre corneal reflection (PCCR) based eye tracker and a non-PCCR based eye tracker. A method comprises obtaining at least one first eye position of a subject by applying the PCCR based eye tracker on an image set depicting the subject. The method comprises calibrating a head model of the non-PCCR based eye tracker, as applied on the image set, for the subject using the obtained at least one first eye position from the PCCR based eye tracker as ground truth. The head model comprises facial features that include at least one second eye position. The calibrating involves positioning the head model in order for its at least one second eye position to be consistent with the at least one first eye position given by the PCCR based eye tracker.

Calibration of an eye tracking system

A method and a corresponding apparatus for mitigating motion sickness in a virtual reality VR/augmented reality (AR) system using a head mounted display (HMD) are disclosed. The method comprises receiving data from a sensor indicating a current orientation of the HMD in real space, and superimposing a visual indication on a display of the HMD. The visual indication provides visual information to a user of the current orientation of the HMD in real space. Furthermore, methods and corresponding apparatuses are disclosed of calculating gaze convergence distance in an eye tracking system, and of gaze based virtual reality (VR)/augmented reality (AR) menu expansion.

Eye tracking applications in virtual reality and augmented reality

A method and a corresponding eye tracking system for providing an approximate gaze convergence distance of a user in an eye tracking system are disclosed. The method comprises determining calibration data in relation to interpupillary distance between a pupil of a left eye and a pupil of a right eye of a user, determining, based on the determined calibration data, a gaze convergence function providing an approximate gaze convergence distance of the user based on a determined interpupillary distance of the user. The method further comprises receiving, from one or more imaging devices, one or more images of the left eye and the right eye of the user, determining a current interpupillary distance of the user based on the one or more images and determining a current approximate gaze convergence distance based on the current interpupillary distance and the gaze convergence function.

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Danderyd, Sweden

Per Fogelström