Ways of improving the precision of eye tracking data: Controlling the influence of dirt and dust on pupil detection

Ways of improving the precision of eye tracking data: Controlling the influence of dirt and dust on pupil detection

Eye-tracking technology has to date been primarily employed in research. With recent advances in aordable video-based devices, the implementation of gaze-aware smartphones, and marketable driver monitoring systems, a considerable step towards pervasive eye-tracking has been made. However, several ne...

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Bibliographic Details
Main Authors: Wolfgang Fuhl, Dennis Hospach, Thomas C. Kübler, Wolfgang Rosenstiel, Oliver Bringmann, Enkelejda Kasneci
Format: Article
Language:English
Published: Bern Open Publishing 2017-05-01
Series:Journal of Eye Movement Research
Subjects:
eye tracking
pupil detection
robustness
dirt simulation
data quality
Online Access:https://bop.unibe.ch/JEMR/article/view/3657

Internet

https://bop.unibe.ch/JEMR/article/view/3657

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