Detecting Eye Movements in Dynamic Environments

In dynamic environments such as automobile driving, it can be difficult to assess how and when a driver focuses on the various tasks that are part of the driving process. Measures derived from the driver's scan path have been used as correlates of drier attention. This article reports on a study that used a method for analyzing eye positions (discrete samples of a subject's scan path) in order to determine driver eye movements. The method presented extends the degree of automation in the processing of eye movement data by incorporating smooth and saccadic movements to the automated fixation identification. By identifying eye movements in the recorded eye positions, a method of reducing the analysis of scene video to a finite search space is presented. The authors also describe the implementation of a software tool for the eye movement analysis, using an example from an on-road test-driving sample.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/1554351X
• Authors:
  • Reimer, Bryan
  • Sodhi, Manbir
• Publication Date: 2006-11

Language

• English

Media Info

• Media Type: Print
• Features: References;
• Pagination: pp 667-682
• Serial:
  • Behavior Research Methods
  • Volume: 38
  • Issue Number: 4
  • Publisher: Springer Publishing
  • ISSN: 1554-351X
  • EISSN: 1554-3528
  • Serial URL: https://link.springer.com/journal/13428

Subject/Index Terms

• TRT Terms: Attention; Automobile drivers; Distraction; Driving; Eye fixations; Eye movements; Field of vision; Software; Vision
• Uncontrolled Terms: In-vehicle devices
• Subject Areas: Highways; Safety and Human Factors; I83: Accidents and the Human Factor;

Filing Info

• Accession Number: 01055980
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 29 2007 9:06PM