Detecting driver fatigue through the use of advanced face monitoring techniques

Details

• Creators:
  Veeraraghavan, Harini ; Papanikolopoulos, Nikolaos P.
• Corporate Contributors:
  University of Minnesota. Center for Transportation Studies ; University of Minnesota. Intelligent Transportation Systems Institute
• Subject/TRT Terms:
  • Drivers
  • Fatigue (Physiological condition)
  • Face
  • Monitoring
  • Traffic crashes
  • Costs
  • Injuries
  • Driving simulators
  • Traffic safety
  • Alertness
  More +
• Publication/ Report Number:
  CTS 01-05
• Resource Type:
  Tech Report
• Geographical Coverage:
  Minnesota
• Corporate Publisher:
  University of Minnesota. Intelligent Transportation Systems Institute
• Abstract:
  Driver fatigue is an important factor in many vehicular accidents.Reducing the number of fatigue-related accidents would save ; society a significant amount financially,in addition to reducing personal suffering.The researchers developed a driver fatigue ; monitoring system that uses a camera (or cameras)to detect indications of driver fatigue.The mechanism detects and tracks the ; eyes of the driver based on human skin color properties,along with templates that monitor how long the eyes are open or ; closed.Tests of the approach were run on 20 human subjects in a simulated environment (the driving simulator at the Human ; Factors Research Laboratory)in order to find its potential and its limitations.This report describes the findings from these ; experiments.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/4057/dot_4057_DS1.pdf
• File Type:
  [PDF - 1.46 MB]
• Collection(s):
  ITSJPO Digital Library
• Main Document Checksum:
  urn:sha256:8528b5a61da730c94c020c3ca05764695cc441be9b4b1f6050e516301291f3e9