Development of fatigue-associated measuresment to determine fitness for duty and monitor driving performance

5Citations
Citations of this article
16Readers
Mendeley users who have this article in their library.

This article is free to access.

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. © 2013 Springer-Verlag Berlin Heidelberg.

Cite

CITATION STYLE

APA

Tan, Y. Y., Lin, S. T., & Tey, F. (2013). Development of fatigue-associated measuresment to determine fitness for duty and monitor driving performance. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8027 LNAI, pp. 608–617). https://doi.org/10.1007/978-3-642-39454-6_65

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free