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Real-Time Gaze Tracking for Public Displays

  • Conference paper
Ambient Intelligence (AmI 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6439))

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Abstract

In this paper, we explore the real-time tracking of human gazes in front of large public displays. The aim of our work is to estimate at which area of a display one ore more people are looking at a time, independently from the distance and angle to the display as well as the height of the tracked people. Gaze tracking is relevant for a variety of purposes, including the automatic recognition of the user’s focus of attention, or the control of interactive applications with gaze gestures. The scope of the present paper is on the former, and we show how gaze tracking can be used for implicit interaction in the pervasive advertising domain. We have developed a prototype for this purpose, which (i) uses an overhead mounted camera to distinguish four gaze areas on a large display, (ii) works for a wide range of positions in front of the display, and (iii) provides an estimation of the currently gazed quarters in real time. A detailed description of the prototype as well as the results of a user study with 12 participants, which show the recognition accuracy for different positions in front of the display, are presented.

This work is supported under the FFG Research Studios Austria program under grant agreement No. 818652 DISPLAYS (Pervasive Display Systems).

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Author information

Authors and Affiliations

  1. Institute for Pervasive Computing, Johannes Kepler University Linz, Austria

    Andreas Sippl, Doris Zachhuber & Alois Ferscha

  2. Mobile Computing, Upper Austria University of Applied Sciences, Austria

    Clemens Holzmann

Authors
  1. Andreas Sippl
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  2. Clemens Holzmann
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  3. Doris Zachhuber
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  4. Alois Ferscha
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Editor information

Editors and Affiliations

  1. Philips Research Europe, User High Tech Campus 34 - WB - 4.053, 5656, Eindhoven, AE, The Netherlands

    Boris de Ruyter

  2. Fraunhofer, Institut für Graphische Datenverarbeitung IGD, , Fraunhoferstrasse 5, 64283, Darmstadt, Germany

    Reiner Wichert

  3. TU Delft, Landbergstraat 15, 2628, Delft, CE, The Netherlands

    David V. Keyson

  4. Eindhoven University of Technology, Den Dolech 2, 5600, Eindhoven, MB, The Netherlands

    Panos Markopoulos

  5. Smart Future Initiative, Konrad-Zuse-Str. 34, 60438, Frankfurt, Germany

    Norbert Streitz

  6. Norwegian University of Science and Technology, Sem Sælandsvei 7-9, 7491, Trondheim, Norway

    Monica Divitini

  7. Domaine de Voluceau, INRIA Paris-Rocquencourt, B.P. 105, 78153, Le Chesnay, France

    Nikolaos Georgantas

  8. E.T.S.I. Informatica, Bulevar Louis Pasteur, University of Malaga, 35, Campus de Teatinos, 29071, Malaga, Spain

    Antonio Mana Gomez

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Sippl, A., Holzmann, C., Zachhuber, D., Ferscha, A. (2010). Real-Time Gaze Tracking for Public Displays. In: de Ruyter, B., et al. Ambient Intelligence. AmI 2010. Lecture Notes in Computer Science, vol 6439. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16917-5_17

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  • DOI: https://doi.org/10.1007/978-3-642-16917-5_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16916-8

  • Online ISBN: 978-3-642-16917-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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