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Gaze estimation interpolation methods based on binocular data.

Publication ,  Journal Article
Sesma-Sanchez, L; Villanueva, A; Cabeza, R
Published in: IEEE transactions on bio-medical engineering
August 2012

Video oculography (VOG) is one of the most commonly used techniques for gaze tracking because it enables nonintrusive eye detection and tracking. Improving the eye tracking's accuracy and tolerance to user head movements is a common task in the field of gaze tracking; thus, a thorough study of how binocular information can improve a gaze tracking system's accuracy and tolerance to user head movements has been carried out. The analysis is focused on interpolation-based methods and systems with one and two infrared lights. New mapping features are proposed based on the commonly used pupil-glint vector using different distances as the normalization factor. For this study, an experimental procedure with six users based on a real VOG gaze tracking system was performed, and the results were contrasted with an eye simulator. Important conclusions have been obtained in terms of configuration, equation, and mapping features, such as the outperformance of the interglint distance as the normalization factor. Furthermore, the binocular gaze tracking system was found to have a similar or improved level of accuracy compared to that of the monocular gaze tracking system.

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Published In

IEEE transactions on bio-medical engineering

DOI

EISSN

1558-2531

ISSN

0018-9294

Publication Date

August 2012

Volume

59

Issue

8

Start / End Page

2235 / 2243

Related Subject Headings

  • Vision, Binocular
  • Video Recording
  • Infrared Rays
  • Image Processing, Computer-Assisted
  • Humans
  • Head Movements
  • Fixation, Ocular
  • Eye Movements
  • Biometry
  • Biomedical Engineering
 

Citation

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Sesma-Sanchez, L., Villanueva, A., & Cabeza, R. (2012). Gaze estimation interpolation methods based on binocular data. IEEE Transactions on Bio-Medical Engineering, 59(8), 2235–2243. https://doi.org/10.1109/tbme.2012.2201716
Sesma-Sanchez, Laura, Arantxa Villanueva, and Rafael Cabeza. “Gaze estimation interpolation methods based on binocular data.IEEE Transactions on Bio-Medical Engineering 59, no. 8 (August 2012): 2235–43. https://doi.org/10.1109/tbme.2012.2201716.
Sesma-Sanchez L, Villanueva A, Cabeza R. Gaze estimation interpolation methods based on binocular data. IEEE transactions on bio-medical engineering. 2012 Aug;59(8):2235–43.
Sesma-Sanchez, Laura, et al. “Gaze estimation interpolation methods based on binocular data.IEEE Transactions on Bio-Medical Engineering, vol. 59, no. 8, Aug. 2012, pp. 2235–43. Epmc, doi:10.1109/tbme.2012.2201716.
Sesma-Sanchez L, Villanueva A, Cabeza R. Gaze estimation interpolation methods based on binocular data. IEEE transactions on bio-medical engineering. 2012 Aug;59(8):2235–2243.

Published In

IEEE transactions on bio-medical engineering

DOI

EISSN

1558-2531

ISSN

0018-9294

Publication Date

August 2012

Volume

59

Issue

8

Start / End Page

2235 / 2243

Related Subject Headings

  • Vision, Binocular
  • Video Recording
  • Infrared Rays
  • Image Processing, Computer-Assisted
  • Humans
  • Head Movements
  • Fixation, Ocular
  • Eye Movements
  • Biometry
  • Biomedical Engineering