Abstract
Long distance driving has been a major factor leading to road accidents [1-2]. With the lack of reliable validation on driver fatigue technology systems [3], the aim of this study is to correlate the measurements of two cognitive tests: Psychomotor Vigilance Task Tester-PVT [4] and PenScreen-PS [5] to establish the threshold levels of fatigued driving performance that will form the basis to prevent fatigued drivers from handling vehicles. PVT is recommended to be the first line of defense against putting fatigued drivers on duty. Drowsiness can be detected by SmartEye Anti-Sleep-AS, acting as a monitoring tool. Eye closure analysis on AS’s eyelid opening data showed that AS is a feasible system for real-time monitoring of fatigue while driving. The results also suggested a simpler and more economical way of monitoring fatigue using AS system. PS could be used in conjunction with PVT to detect for any malingering intent.
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Tan, Y.Y., Lin, S.T., Tey, F. (2013). Development of Fatigue-Associated Measuresment to Determine Fitness for Duty and Monitor Driving Performance. In: Schmorrow, D.D., Fidopiastis, C.M. (eds) Foundations of Augmented Cognition. AC 2013. Lecture Notes in Computer Science(), vol 8027. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39454-6_65
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DOI: https://doi.org/10.1007/978-3-642-39454-6_65
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