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Using Eye Blinking for EOG-Based Robot Control

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Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT,volume 314)


This paper proposes a new approach to real-time robot controlling by integrating an Electrooculography (EOG) measuring device within human-robot interaction (HRI). Our study focuses on controlling robots using EOG for fulfilling elementary robot activities such as basic motor movements and environment interaction. A new EOG-based HRI paradigm has been developed on the specific defined problem of eye blinking. The resulted model is tested using biometric capturing equipment. We propose a simple algorithm for real-time identification and processing of signals produced by eyes during blinking phases. We present the experimental setup and the results of the experiment. We conclude by listing further research issues.


  • Electrooculography
  • robot
  • control
  • human-robot interaction
  • eye blink


  1. Barea, R., Boquete, L., Lopez, E., Mazo, M.: Guidance of a Wheelchair Using Electrooculography. In: Proceeding of the 3rd International Multiconference on Circuits, Systems, Communications and Computers (1999)

    Google Scholar 

  2. Choudhury, S.R., Venkataramanan, S., Nemade, H.B., Sahambi, J.S.: Design and Development of a Novel EOG Biopotential Amplifier. International Journal of Bioelectromagnetism 7(1), 271–274 (2005)

    Google Scholar 

  3. Grave de Peralta Menendez, R., Noirhomme, Q., Cincotti, F., Mattia, D., Aloise, F., Andino, S.G.: Modern Electrophysiological Methods for Brain-Computer Interfaces. Computational Intelligence and Neuroscience Journal 2007 (2007)

    Google Scholar 

  4. Manoilov, P., Borodzhieva, A.: An Algorithm for Eye-Blinking Artefacts Duration Determination. In: Proceedings of the Fourth International Bulgarian-Greek Conference Computer Science 2008, Part 1, Kavala, Greece, vol. 1, pp. 846–850 (2008)

    Google Scholar 

  5. Starlab Enobio,

  6. Usakli, A.B., Gurcan, S., Aloise, F., Vecchiato Babiloni, F.: On The Use of Electrooculogram For Efficient Human Computer Interfaces. Computational Intelligence and Neuroscience Journal, article in press (2009),

  7. Youngmin, K., Nakju, L.D., Youngil, Y., Wan, K.C.: Robust Discrimination Method of the Electrooculogram Signals for Human-Computer Interaction Controlling Mobile Robot. Intelligent Automation and Soft Computing Journal 13(3) (2007)

    Google Scholar 

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Duguleana, M., Mogan, G. (2010). Using Eye Blinking for EOG-Based Robot Control. In: Camarinha-Matos, L.M., Pereira, P., Ribeiro, L. (eds) Emerging Trends in Technological Innovation. DoCEIS 2010. IFIP Advances in Information and Communication Technology, vol 314. Springer, Berlin, Heidelberg.

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-11627-8

  • Online ISBN: 978-3-642-11628-5

  • eBook Packages: Computer ScienceComputer Science (R0)