Road traffic accidents are a major cause of casualties and costly
implications to all the stakeholders. Research focusing on the driver as one of
the causal agent of accidents has been studied for centuries and with the
advent of modernized driver assistance technologies. This paper sought to
evaluate response of a driver using active-driving performance indicators like
reaction time and physiological signal response (surface electromyogram), to
understand hazard response behavior. Simulation of driving scenes was done
using Unity3D engine and VR Head mounted display. The driver was presented with
stimulus (collision objects) of different size and distance. From the results,
an event scene that the driver considered hazardous was marked with increased
electromyography response distinct from non-event scenes. From the results, we
noted an increase in pedal misapplication during hazard response. The proposed
approach is applicable in a real time driving analysis for on-road risk level
classification.
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