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Text Composing Software for Disabled People, Using Blink and Motion Detection

  • Philipp Hofmann
  • Matthias Söllner
  • Josef Pösl
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6180)

Abstract

We presentate a pc software to give disabled persons the possibility of writing texts without mouse and keyboard. Single letters and words are presented, scrolling over the screen. The suggested words are chosen from a self-learning database by frequency of their use. Although different kinds of binary input signals can be used, we focused on blink detection for choosing letters and words. Algorithms based on Haar Cascades are used for finding the eyes. We aim on low-cost realisation, therefore a state-of-the-art Windows based computer and a commercially available webcam is used. As an alternative input device we used a acceleration sensor for motion detection. We could successfully demonstrate quick text writing with different test persons.

Keywords

text composing blink detection acceleration sensor OpenCV disabled persons 

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References

  1. 1.
    Morris, T., Blenkhorn, P., Zaidi, F.: Blink detection for real-time eye tracking. Journal of Network and Computer Applications (JNCA) 25, 129–143 (2002), doi:10.1006/jnca.2002Google Scholar
  2. 2.
    Chau, M., Betke, M.: Real Time Eye Tracking and Blink Detection with USB Cameras. In: Boston University Computer Science, Technical Report No. 2005-12 (2005)Google Scholar
  3. 3.
    Söllner, M., Hofmann, P., Pösl, J.: Using Triaxial Acceleration Sensors as Input Devices for Disabled Persons. In: ICCHP 2010, Computers Helping People with Special Needs Springer, Berlin (2010)Google Scholar
  4. 4.
    Schmidt, A., Kasinski, A.: The Performance of the Haar Cascade Classifiers Applied to the Face and Eyes Detection. In: Computer Recognition Systems 2, pp. 816–823. Springer, Heidelberg (2007), doi:10.1007/978-3-540-75175-5_101CrossRefGoogle Scholar
  5. 5.
    Wilson, P.I., Fernandez, J.: Facial feature detection using Haar classifiers. Journal of Computing Sciences in Colleges 21(4), 127–133 (2006); ISSN:1937-4771Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Philipp Hofmann
    • 1
  • Matthias Söllner
    • 1
  • Josef Pösl
    • 1
  1. 1.Faculty of Electrical Engineering and Information TechnologyUniversity of Applied Sciences Amberg-WeidenAmbergGermany

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