Eye trackers typically require 2-4 additional cameras trained on the eyes. The algorithms for eye tracking are typically pretty involved, but maybe you know som

Eye trackers typically require 2-4 additional cameras trained on the eyes. The algorithms for eye tracking are typically pretty involved, but maybe you know some very lower power algorithm to track the eye at 120 hz? I'm not sure how dedicated hardware will reduce the power consumption for 2 cameras and an ML pipeline to almost nothing. Northern Europeans have very light irises. It makes it easier to track the pupil from a single signal-to-noise perspective. But there are a ton of weird ethnic challenges for eye tracking. Things like reflectivity and moisture of eyes varies a lot across different across different ethnic groups. Personalization add complexity and will only take you so far when you are dealing with physical sensing challenges.