We obtained discriminative results for fit-to-drive patients by application of Tukey’s honest significant difference post hoc test ( p < 0.01), while no difference was observed between conditionally-fit and unfit-to-drive groups ( p = 0.542). The results showed that the proposed method based on the YOLO (you only look once) object detector is efficient for computing TTFs from the eye-tracker data. From 108 neurological patients recruited for the study, the analysis of TTF was performed in 56 patients to assess fit-, unfit-, and conditionally-fit-to-drive patients. Precisely, we measured the time since the children started to cross the street until the drivers directed their look to the children. TTF presents the time interval for a person to notice the stimulus from its first occurrence. We present a method to automatically calculate time to fixate (TTF) from the eye-tracker data in subjects with neurological impairment using a driving simulator.
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