Training an eye tracking model

A system 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, wherein the first eye tracking sensor is arranged to monitor an eye, the system comprising processing circuitry configured to:
• receive sensor data obtained by the first eye tracking sensor at a time instance;
• receive reference eye tracking data for said time instance generated by an eye tracking system comprising a second eye tracking sensor, arranged to monitor the eye, wherein the reference eye tracking data is generated by the eye tracking system based on sensor data obtained by the second eye tracking sensor at said time instance;
• and
• train the eye tracking model based on the sensor data obtained by the first eye tracking sensor at said time instance and the generated reference eye tracking data.

A non-transitory computer-readable storage medium storing instructions 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, wherein the first eye tracking sensor is arranged to monitor an eye, wherein the instructions, when executed by a system, cause the system to:

• receive sensor data obtained by the first eye tracking sensor at a time instance;
• receive reference eye tracking data for said time instance generated by an eye tracking system comprising a second eye tracking sensor, arranged to monitor the eye, wherein the reference eye tracking data is generated by the eye tracking system based on sensor data obtained by the second eye tracking sensor at said time instance;
• and
• train the eye tracking model based on the sensor data obtained by the first eye tracking sensor at said time instance and the generated reference eye tracking data.