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Calibration rapide pour I'Eye tracking

Published: 13 October 2009 Publication History

Abstract

Our research aims to know where a person is looking at. This information is also used for training purposes. Our eye tracker system can be used in various fields such as learning to drive, support for physically handicapped or as an interface command. Our system consists of a pair of glasses equipped with two cameras: one for the pupil and one for the scene. It can obtain the point of regard in the scene. Starting from the position of the center of the pupil it is possible via a calculation to estimate the point of regard (POR). We have developped a fast method of calibration with a single point. This allows to easily integrate this type of system in training sessions or audit since the calibration takes only a few seconds.

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Duschoswky T., Eye trackingMethodology theory and pratice, 2nd edition, Springer, 2007.
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Hartley R., Zisserman A., Multiple View Geometry in Computer Vision, Cambridge University press, 2nd edition, 2003.
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Li, D., Winfield, D., Parkurst, D. J., Starbust: A hybrid algorithm for video-based eye tracking combining feature-based and model-based approaches. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Vol. 3, pp. 79, San Diego, USA, 2005.
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IHM '09: Proceedings of the 21st International Conference on Association Francophone d'Interaction Homme-Machine
October 2009
354 pages
ISBN:9781605584614
DOI:10.1145/1629826
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 October 2009

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Author Tags

  1. POR
  2. RANSAC
  3. calibration
  4. eye tracking
  5. gaze estimation
  6. parallax

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IHM '09

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Overall Acceptance Rate 103 of 199 submissions, 52%

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