Improving eye-tracking calibration accuracy using symbolic regression
by Almoctar Hassoumi, Vsevolod Peysakhovich, Christophe Hurter
Eye tracking systems have recently experienced a diversity of novel calibration procedures, including smooth pursuit and vestibulo-ocular reflex based calibrations. These approaches allowed collecting more data compared to the standard 9-point calibration. However, the computation of the mapping function which provides planar gaze positions from pupil features given as input is mostly based on polynomial regressions, and little work has investigated alternative approaches. Читать дальше...