A weakly supervised learning framework for retinal eye tracking achieves sub-0.45 degree 95th-percentile gaze error in a 6-person cohort.
Overview The core principle of retinal eye tracking is that gaze direc- tion can be inferred from how retinal features shift in the cap- tured image as the eye rotates
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Establishing Robust Retinal Eye Tracking: A Weakly Supervised Algorithmic Framework
A weakly supervised learning framework for retinal eye tracking achieves sub-0.45 degree 95th-percentile gaze error in a 6-person cohort.