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openEyes: a low-cost head-mounted eye-tracking solution
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Source Eye Tracking Research & Application archive
Proceedings of the 2006 symposium on Eye tracking research & applications table of contents
San Diego, California
SESSION: Advances in eye tracking technology table of contents
Pages: 95 - 100  
Year of Publication: 2006
ISBN:1-59593-305-0
Authors
Dongheng Li  Iowa State University, Ames, Iowa
Jason Babcock  Iowa State University, Ames, Iowa
Derrick J. Parkhurst  Iowa State University, Ames, Iowa
Sponsors
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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ABSTRACT

Eye tracking has long held the promise of being a useful methodology for human computer interaction. However, a number of barriers have stood in the way of the integration of eye tracking into everyday applications, including the intrusiveness, robustness, availability, and price of eye-tracking systems. To lower these barriers, we have developed the openEyes system. The system consists of an open-hardware design for a digital eye tracker that can be built from low-cost off-the-shelf components, and a set of open-source software tools for digital image capture, manipulation, and analysis in eye-tracking applications. We expect that the availability of this system will facilitate the development of eye-tracking applications and the eventual integration of eye tracking into the next generation of everyday human computer interfaces. We discuss the methods and technical challenges of low-cost eye tracking as well as the design decisions that produced our current system.


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.

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Duchowski, A. 2002. A breadth-first survey of eye-tracking applications. Behavior Research Methods, Instruments and Computers 34, 4, 455--470.
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Haro, A., Flickner, M., and Essa, I. 2000. Detecting and tracking eyes by using their physiological properties, dynamics, and appearance. In Proceedings IEEE Conference on Computer Vision and Pattern Recognition, 163--168.
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Parkhurst, D., and Niebur, E. 2002. Variable resolution displays: a theoretical, practical and behavioral evaluation. Human Factors 44, 4, 611--29.
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Pelz, J., Canosa, R., Babcock, J., Kucharczyk, D., Silver, A., and Konno, D. 2000. Portable eyetracking: A study of natural eye movements. In Proceedings of the SPIE, Human Vision and Electronic Imaging, 566--582.
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Stampe, D. M. 1993. Heuristic filtering and reliable calibration methods for video-based pupil-tracking systems. Behavior Research Methods, Instruments, and Computers 25, 2, 137--142.
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Young, L., and Sheena, D. 1975. Survey of eye movement recording methods. Behavior Research Methods and Instrumentation 7, 397--429.


Collaborative Colleagues:
Dongheng Li: colleagues
Jason Babcock: colleagues
Derrick J. Parkhurst: colleagues