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Robust Gaze Estimation for Human Computer Interaction

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PRICAI 2006: Trends in Artificial Intelligence (PRICAI 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4099))

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Abstract

To achieve natural human computer interface, a new gaze detection method is proposed, which allows user’s natural head and eye movement with one camera system and four IR-LED illuminators. This paper has following 4 advancements compared to previous works. First, all procedures for detecting gaze position are operated automatically. Second, although we use the seethrough glasses attached with eye detecting camera, the change of facial position cannot affect the gaze detection accuracy. Third, we use elliptical hough transform and geometric transform in order to detect accurate pupil region. Fourth, to solve the problem of ambiguous coin face-on of pupil shape, we use the EKF (Extended Kalman Filter) and can track continuous eye movement.

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Author information

Authors and Affiliations

  1. Division of Media Technology, Sangmyung University, 7 Hongji-Dong, Jongro-ku, Seoul, Republic of Korea

    Kang Ryoung Park

Authors
  1. Kang Ryoung Park
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Editor information

Editors and Affiliations

  1. The Hong Kong University of Science and Technology,, Hong Kong

    Qiang Yang

  2. Clayton School of Information Technology, Monash University, P.O. Box, Australia

    Geoff Webb

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© 2006 Springer-Verlag Berlin Heidelberg

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Park, K.R. (2006). Robust Gaze Estimation for Human Computer Interaction. In: Yang, Q., Webb, G. (eds) PRICAI 2006: Trends in Artificial Intelligence. PRICAI 2006. Lecture Notes in Computer Science(), vol 4099. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-36668-3_165

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  • DOI: https://doi.org/10.1007/978-3-540-36668-3_165

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-36667-6

  • Online ISBN: 978-3-540-36668-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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