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Towards a human eye behavior model by applying Data Mining Techniques on Gaze Information from IEC

Human-Computer Interaction 2008-12-18 v1 Neural and Evolutionary Computing
Authors: Denis Pallez , Laurent Brisson , Thierry Baccino
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Abstract

In this paper, we firstly present what is Interactive Evolutionary Computation (IEC) and rapidly how we have combined this artificial intelligence technique with an eye-tracker for visual optimization. Next, in order to correctly parameterize our application, we present results from applying data mining techniques on gaze information coming from experiments conducted on about 80 human individuals.

Keywords

gaze estimation

Cite

@article{arxiv.0803.3186,
  title  = {Towards a human eye behavior model by applying Data Mining Techniques on Gaze Information from IEC},
  author = {Denis Pallez and Laurent Brisson and Thierry Baccino},
  journal= {arXiv preprint arXiv:0803.3186},
  year   = {2008}
}

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