articleJun 1, 2016Closed access

Eye Tracking for Everyone

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Abstract

From scientific research to commercial applications, eye tracking is an important tool across many domains. Despite its range of applications, eye tracking has yet to become a pervasive technology. We believe that we can put the power of eye tracking in everyone's palm by building eye tracking software that works on commodity hardware such as mobile phones and tablets, without the need for additional sensors or devices. We tackle this problem by introducing GazeCapture, the first large-scale dataset for eye tracking, containing data from over 1450 people consisting of almost 2:5M frames. Using GazeCapture, we train iTracker, a convolutional neural network for eye tracking, which achieves a significant…

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877
total citations
FWCI
57.36
Percentile
100%
References
56
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Authors

7

Topics & keywords

Keywords
  • Computer science
  • Eye tracking
  • Tracking (education)
  • Convolutional neural network
  • Mobile device
  • Artificial intelligence
  • Code (set theory)
  • Tracking error
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