Driver Cognitive Distraction Detection Using Eye Movements

Details

• Personal Author:
  Lee JD ; Liang Y
• Description:
  Driver distraction is an important safety problem. The results of a study that tracked 100 vehicles for one year indicated that nearly 80% of crashes and 65% of near-crashes involved some form of driver inattention within three seconds of the events. The most common forms of inattention included secondary tasks, driving-related inattention, fatigue, and combinations of these. In-vehicle information systems (IVIS), such as navigation systems and internet services, introduce various secondary tasks into the driving environment that can increase crash risk. Thus, in future it would be very beneficial if IVIS could monitor driver distraction so that the system could adapt and mitigate the distraction. To not disturb driving, non-intrusive and real-time monitoring of distraction is essential. [Description provided by NIOSH]
• Subjects:
  Accidents, Occupational Automobiles Electrical Equipment And Supplies Occupational Health Safety
• Keywords:
  Accidents Automobile Safety Drivers Electronic Devices Emerging Technology Eye Movement Monitors Motor Vehicles
• ISBN:
  9783540754114
• ISSN:
  1860-4862
• Publisher:
  Springer-Verlag
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Book
• Place as Subject:
  Iowa ; OSHA Region 7
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  285-300
• NIOSHTIC Number:
  nn:20063415
• Citation:
  Passive eye monitoring: algorithms, applications, and experiments. Hammoud RI, ed. Berlin Heidelberg, Germany: Springer-Verlag, 2008 Feb; :285-300
• Contact Point Address:
  Yulan Liang, Department of Mechanical and Industrial Engineering, University of Iowa, Iowa City, IA, USA
• Editor(s):
  Hammoud RI
• Federal Fiscal Year:
  2008
• Performing Organization:
  University of Iowa
• Peer Reviewed:
  False
• Start Date:
  20050701
• Source Full Name:
  Passive eye monitoring: algorithms, applications, and experiments
• End Date:
  20290630
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:967d98d2da6ecf15308f27412c805bfab886418bf61aa6e048337c5d899d54b3c5152f274359771e2b61d30f816d9bf693056e715954fb77203cd78b69f8d8d4
• Download URL:
  https://stacks.cdc.gov/view/cdc/226482/cdc_226482_DS1.pdf
• File Type:
  [PDF - 213.90 KB ]