PERCLOS+: Development of a Robust Field Measure of Driver Drowsiness
Every year, thousands of vehicles are involved in crashes which are attributed to the onset of driver drowsiness. To address this issue, a prototype integrated system was developed that combined machine-vision based drowsy driver monitoring technology and the analysis of operator/vehicle performance parameters to reliably assess driver drowsiness. PERCLOS (a measure of eye closure) is considered to be the “gold standard” of drowsiness detection metrics. Systems have been developed to measure PERCLOS. However, issues including eyewear, ambient illumination, and head movement present hurdles which can be difficult to overcome. Research has investigated driver control metrics associated with drowsiness, and lane position appears to be a key indicator. This paper reports on a project aimed at integrating PERCLOS with other drowsiness metrics to form a new measure, PERCLOS+ (PERCLOS plus other measures), that may prove to be a more robust measure in a real-world, field application as compared to a single metric system.
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Corporate Authors:
1100 17th Street, NW, 12th Floor
Washington, DC United States 20036 -
Authors:
- Hanowski, Richard J
- Bowman, Darrell S
- Alden, Andrew
- Wierwille, Walter W
- Carroll, Robert J
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Conference:
- 15th World Congress on Intelligent Transport Systems and ITS America's 2008 Annual Meeting
- Location: New York NY, United States
- Date: 2008-11-16 to 2008-11-20
- Publication Date: 2008
Language
- English
Media Info
- Media Type: CD-ROM
- Features: Figures; Photos; References; Tables;
- Pagination: 12p
- Monograph Title: ITS Connections: Saving Time. Saving Lives
Subject/Index Terms
- TRT Terms: Biometrics; Commercial drivers; Commercial vehicles; Driver monitoring; Drivers; Drowsiness; Fatigue (Physiological condition); Prevention; Risk assessment; Traffic crashes; Trucks
- Identifier Terms: Percent Eyelid Closure (PERCLOS)
- Uncontrolled Terms: Lane departures
- Subject Areas: Highways; Safety and Human Factors; I83: Accidents and the Human Factor;
Filing Info
- Accession Number: 01145195
- Record Type: Publication
- Files: TRIS
- Created Date: Nov 30 2009 8:54AM