Obtained TTFs are also compared with the perception response times (PRT) calculated independently from eye-tracker data and YOLO. Moreover, we show that time-to-collision (TTC), initial gaze distance (IGD) from pedestrians, and speed at the hazard onset did not influence the result, while the only significant interaction is among fitness, IGD, and TTC on TTF. 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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