US 11,941,172 B2
Training an eye tracking model
Carl Asplund, Danderyd (SE); Patrik Barkman, Danderyd (SE); Anders Dahl, Danderyd (SE); Oscar Danielsson, Danderyd (SE); Tommaso Martini, Danderyd (SE); and Mårten Nilsson, Danderyd (SE)
Assigned to Tobii AB, Danderyd (SE)
Filed by TOBII AB, Danderyd (SE)
Filed on Jul. 6, 2022, as Appl. No. 17/811,000.
Application 17/811,000 is a division of application No. 16/834,153, filed on Mar. 30, 2020, granted, now 11,386,290.
Claims priority of application No. 1950387-9 (SE), filed on Mar. 29, 2019.
Prior Publication US 2022/0334219 A1, Oct. 20, 2022
Int. Cl. G06F 3/01 (2006.01); G01S 7/282 (2006.01); G01S 7/40 (2006.01); G01S 13/00 (2006.01); G06F 18/214 (2023.01); G06V 40/19 (2022.01); G01S 7/285 (2006.01)
CPC G06F 3/013 (2013.01) [G01S 7/282 (2013.01); G01S 7/4008 (2013.01); G01S 13/003 (2013.01); G06F 18/214 (2023.01); G06V 40/19 (2022.01); G01S 7/285 (2013.01)] 24 Claims
OG exemplary drawing
 
1. A method for training an eye tracking model, wherein the eye tracking model is adapted to predict eye tracking data based on sensor data from a first eye tracking sensor of a first eye tracking system, wherein the first eye tracking sensor is arranged to monitor an eye, the method comprising:
receiving first sensor data obtained by the first eye tracking sensor at a time instance;
receiving reference eye tracking data for an approximately same time instance generated by a second eye tracking system comprising a second eye tracking sensor arranged to monitor the eye, wherein the reference eye tracking data is generated by the second eye tracking system based on second sensor data obtained by the second eye tracking sensor at the approximately same time instance; and
training the eye tracking model based on the first sensor data obtained by the first eye tracking sensor at said time instance and the generated reference eye tracking data for the approximately same time instance.