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Sheng Tong Lin, Ying Ying Tan, Pei Ying Chua, Lian Kheng Tey, Chie Hui Ang; PERCLOS Threshold for Drowsiness Detection during Real Driving. Journal of Vision 2012;12(9):546. doi: https://doi.org/10.1167/12.9.546.
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© ARVO (1962-2015); The Authors (2016-present)
PERCLOS (proportion/percentage of time in a minute that the eye is 80% closed) has been a popular topic of research for assessing driver's alertness. However, most of its validation to date was done in a simulated driving environment. In this study, we exposed drivers to monotonous 30km/hr driving in a closed road circuit for up to 4 hours. Smart Eye Anti-Sleep eye tracker system (SMART EYE AB) was used to capture drivers' eye closure throughout driving. Preliminary analysis revealed that the drivers can be classified into 3 groups. Group E (n = 11) refers to the ‘elites’ who lasted the full 4 hours. In Group V (n = 13) are the drivers who are vulnerable to fatigue driving and drove out of lane within 4 hours. Group U drivers (n = 14) are unmotivated drivers. For each driver, 3 PERCLOS readings were extracted: at the start of the driving as the baseline, at the point of 1-second microsleep and at end point which is upon driving out of lane or completion of the 4 hour driving. There is a significant difference between the 3 PERCLOS readings (F(2,70)=10.79, P <0.01). There is no interaction effect from grouping (F(4,70) = 1.93, P = 0.12). Pairwise comparison ( Bonferroni corrected) between estimated marginal means(EMM) showed a significant PERCLOS increase from baseline (6.13%) for both 1-second microsleep and end point (P <0.01) which is 10.54% and 12.22% respectively. However, there is no significant PERCLOS difference between microsleep point and end point (P = 0.13). This study suggest PERCLOS threshold can be set at 10%, assuming critical point to be 1-second microsleep.
Meeting abstract presented at VSS 2012
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