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Improving the Accuracy of Video-Based Eye Tracking in Real Time through Post-Calibration Regression

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Current Trends in Eye Tracking Research

Abstract

Lack of accuracy in eye-tracking data can be critical. If the point of gaze is not recorded accurately, the information obtained or action executed might be different from what was intended. Depending on the system, researchers often have to be content with accuracies in the range of 1–2° while operator experience and participant characteristics also have a significant effect on accuracy.

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Acknowledgements

We wish to thank the two manufacturers who provided us with prototypes of their latest remote eye-tracking models at the time.

Author information

Authors and Affiliations

  1. University of the Free State, Bloemfontein, South Africa

    Pieter Blignaut

  2. Lund University, Lund, Sweden

    Kenneth Holmqvist, Marcus Nyström & Richard Dewhurst

Authors
  1. Pieter Blignaut
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  2. Kenneth Holmqvist
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  3. Marcus Nyström
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  4. Richard Dewhurst
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Corresponding author

Correspondence to Pieter Blignaut .

Editor information

Editors and Affiliations

  1. Noosa Campus, Central Queensland University, Noosaville, Queensland, Australia

    Mike Horsley

  2. Noosa Campus, Central Queensland University, Noosaville, Queensland, Australia

    Matt Eliot

  3. Noosa Campus, Central Queensland University, Noosaville, Queensland, Australia

    Bruce Allen Knight

  4. Department of Computer Science, National University of Ireland, Maynooth, Kildare, Ireland

    Ronan Reilly

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Blignaut, P., Holmqvist, K., Nyström, M., Dewhurst, R. (2014). Improving the Accuracy of Video-Based Eye Tracking in Real Time through Post-Calibration Regression. In: Horsley, M., Eliot, M., Knight, B., Reilly, R. (eds) Current Trends in Eye Tracking Research. Springer, Cham. https://doi.org/10.1007/978-3-319-02868-2_5

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