Detecting Eye Tracking Calibration Errors

A head-mounted display (“HMD”), comprising:

• first and second displays visible to first and second eyes, respectively, of a wearer of the HMD;
• and
• a processor operably coupled with the first and second displays, the processor to:
• process vision data that captures the first eye of the wearer to generate first eye pose data;
• process vision data that captures the second eye of the wearer to generate second eye pose data;
• based on the first eye pose data, identify a portion of a first image rendered on the first display that is a focus of a fovea of the first eye;
• identify a location of a portion of a second image rendered on the second display that corresponds to the portion of the first image;
• and
• determine an eye tracking calibration error based on a comparison of the location of the portion of the second image and an aspect of the second eye pose data.

A non-transitory computer-readable medium comprising instructions that, in response to execution of the instructions by a processor, cause the processor to:

• identify a portion of a first image rendered on a first display of a head-mounted display (“HMD”), wherein the portion of the first image is targeted by a first eye of a wearer of the HMD;
• match the portion of the first image to a portion of a second image rendered on a second display of the HMD, wherein the second display is visible to a second eye of the wearer;
• identify a target of the second eye based on a pose of the second eye of the wearer;
• and
• identify an eye tracking calibration error based on a distance between the target of the second eye and a location of the portion of the second image that matched the portion of the first image.