Theory, Practice, and Standardization of Eye-tracking Technology

Eye tracking technology requires a delicate balance of accuracy, tolerance, and resolution. Learn about its challenges and innovations for everyone, including people with disabilities.

Key takeaways

Eye tracking has fundamental tradeoffs: accuracy vs. tolerance to head motion, resolution vs. field of view.
Pupil center corneal reflection (PCCR) method is currently used, but has limitations due to eyelid interference, corneal drying, and poor contrast.
Accuracy is a key problem, and current solutions are not robust across the entire population.
The industry has a long way to go to make eye tracking work well for everyone, particularly for people with disabilities.
Camera technology can estimate the perspective correctly, but the lens needed for eye tracking is different from off-the-shelf lenses.
The calculation of the gaze point is complex and depends on the methods used, including pupil center measurement, corneal reflection, and eyelid recognition.
The key to accurate eye tracking is the combination of these methods, as well as the ability to detect and correct for irregularities in the corneal reflection.
Calibration is critical for accurate eye tracking, and traditional methods do not work well for people with disabilities.
The industry has made progress, but still needs to rely on clever algorithms and clever hardware to make eye tracking work well.
There are many applications where eye tracking is important, such as gaming, education, and FMRI brain research, and the industry is working to make it more accessible.
The superior colliculus plays a critical role in eye tracking, as it helps to guide the eye towards the target.

Theory, Practice, and Standardization of Eye-tracking Technology

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