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A software-based eye tracking system for the study of air-traffic displays
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Source Eye Tracking Research & Application archive
Proceedings of the 2002 symposium on Eye tracking research & applications table of contents
New Orleans, Louisiana
SESSION: Systems & applications I table of contents
Pages: 69 - 76  
Year of Publication: 2002
ISBN:1-58113-467-3
Author
Jeffrey B. Mulligan  NASA Ames Research Center, Moffett Field, CA
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

This paper describes a software-based system for offline tracking of eye and head movements using stored video images, designed for use in the study of air-traffic displays. These displays are typically dense with information; to address the research questions, we wish to be able to localize gaze within a single word within a line of text (a few minutes of arc), while at the same time allowing some freedom of movement to the subject. Accurate gaze tracking in the presence of head movements requires high precision head tracking, and this was accomplished by registration of images from a forward-looking scene camera with a narrow field of view.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Chandler, J. P., STEPIT: finds local minima of a smooth function of several parameters. Behavioral Science (1986), 14, 81-82.
 
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3
Mulligan, J. B., Image processing for improved eye-tracking accuracy. Behavior Research Methods, Instruments and Computers (1996), 29, 54-65.
 
4
Watson, A. B., Ideal shrinking and expansion of discrete sequences. NASA Technical Memorandum 88202 (1986), National Technical Information Service, Springfield VA,.


Collaborative Colleagues:
Jeffrey B. Mulligan: colleagues