Tobii Ab

Per-Edvin Stoltz

Mårten Skogö

Peter Blixt

Henrik Jönsson

Niklas Ollesson

Magnus Ivarsson

David Masko

Maria Gordon

Alexander Davies

Techniques for reducing a read out time and power consumption of an image sensor used for eye tracking are described. In an example, a position of an eye element in an active area of a sensor is determined. The eye element can be any of an eye, a pupil of the eye, an iris of the eye, or a glint at the eye. A region of interest (ROI) around the position of the eye is defined. The image sensor reads out pixels confined to the ROI, thereby generating an ROI image that shows the eye element.

Image sensor for vision based on human computer interaction

A system and techniques for calibrating an eye tracking system are described. The system can update the calibration of personal calibration parameters continuously based on a user's gaze on a user interface, following user interface stimulus events. The system improves continuous calibration techniques by determining an association between the user's eye sequences and the stimulus events, and updates the personal calibration parameters accordingly. A record indicative of a user gaze, including eye sequences, such as eye movements or eye fixations, is maintained over a time period. A user interface stimulus event associated with the user interface and occurring within the time period is detected. An association is determined between the eye sequence and the user interface stimulus event. An interaction observation that includes the eye sequence and a location of the stimulus event is generated. Personal calibration parameters are updated based on the interaction observation.

Method to reliably detect correlations between gaze and stimuli

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Danderyd, Sweden

Per-Edvin Stoltz