Corpus ID: 5938282

End-to-End Eye Movement Detection Using Convolutional Neural Networks

@article{Hoppe2016EndtoEndEM,
  title={End-to-End Eye Movement Detection Using Convolutional Neural Networks},
  author={Sabrina Hoppe and Andreas Bulling},
  journal={ArXiv},
  year={2016},
  volume={abs/1609.02452}
}
  • Sabrina Hoppe, Andreas Bulling
  • Published 2016
  • Computer Science
  • ArXiv
  • Common computational methods for automated eye movement detection - i.e. the task of detecting different types of eye movement in a continuous stream of gaze data - are limited in that they either involve thresholding on hand-crafted signal features, require individual detectors each only detecting a single movement, or require pre-segmented data. [...] Key Method Our method is based on convolutional neural networks (CNN) that recently demonstrated superior performance in a variety of tasks in computer vision…Expand Abstract

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    Deep neural network ensemble architecture for eye movements classification

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    Using machine learning to detect events in eye-tracking data

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    Deep learning vs. manual annotation of eye movements

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