Microsoft Technology Licensing, LLC

Chris Aholt

Vaibhav Thukral

David Nister

Bernard Kerr

Weerapan Wilairat

Morgan Kolya Venable

Lev Cherkashin

Christopher Maurice Mei

Bill Chau

Jaeyoun Kim

Nguyen Bach

Bernard James Kerr

Disclosed are an apparatus and a method of low-latency, low-power eye tracking. In some embodiments, the eye tracking method operates a first sensor having a first level of power consumption that tracks positions of an eye of a user. In response to detection that the eye does not change position for a time period, the method stops operation of the first sensor and instead operates a second sensor that detects a change of position of the eye. The second sensor has a level of power consumption lower than the level of power consumption of the first sensor. Once the eye position changes, the second sensor resumes operation.

Eye tracking using video information and electrooculography information

Examples relating to calibrating an estimated gaze location are disclosed. One example method comprises monitoring the estimated gaze location of a viewer using gaze tracking data from a gaze tracking system. Image data for display via a display device is received, the image data comprising at least one target visual and target visual metadata that identifies the at least one target visual. The target visual metadata is used to identify a target location of the at least one target visual. The estimated gaze location of the viewer is monitored and a probability that the viewer is gazing at the target location is estimated. The gaze tracking system is calibrated using the probability, the estimated gaze location and the target location to generate an updated estimated gaze location of the viewer.

Gaze detection calibration

Examples relating calibrating an estimated gaze location are disclosed. One example method comprises monitoring the estimated gaze location of a viewer using gaze tracking data from a gaze tracking system. Image data for display via a display device is received and, without using input from the viewer, at least one target visual that may attract a gaze of the viewer and a target location of the target visual are identified within the image data. The estimated gaze location of the viewer is compared with the target location of the target visual. An offset vector is calculated based on the estimated gaze location and the target location. The gaze tracking system is calibrated using the offset vector.

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Chris Aholt