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.


  • 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

Filing Info

  • Accession Number: 01145195
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Nov 17 2009 9:22AM