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Eye gaze estimation from a video

Abstract : Our work focuses on the interdisciplinary field of detailed analysis
of behaviors exhibited by individuals during sessions of distributed
collaboration. With a particular focus on ergonomics, we
propose new mechanisms to be integrated into existing tools to
enable increased productivity in distributed learning and working.
Our technique is to record ocular movements (eye tracking) to analyze
various scenarios of distributed collaboration in the context
of computer-based training. In this article, we present a low-cost
oculometric device that is capable of making ocular measurements
without interfering with the natural behavior of the subject. We expect
that this device could be employed anywhere that a natural,
non-intrusive method of observation is required, and its low-cost
permits it to be readily integrated into existing popular tools, particularly
E-learning campus.
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Contributor : Stéphanie Mailles Viard Metz Connect in order to contact the contributor
Submitted on : Thursday, February 12, 2009 - 7:03:20 PM
Last modification on : Tuesday, June 1, 2021 - 2:08:08 PM
Long-term archiving on: : Tuesday, June 8, 2010 - 8:46:07 PM


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  • HAL Id : halshs-00361001, version 1


Djamel Merad, Stéphanie Mailles-Viard Metz, Serge Miguet. Eye gaze estimation from a video. Spring Conference on Computer Graphics, SCCG 2006, Apr 2006, Bratislava, Slovakia. ⟨halshs-00361001⟩



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