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Using Eye Blinking for EOG-Based Robot Control

  • Conference paper

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

Abstract

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.

Keywords

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

References

  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, http://starlab.es/products/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), http://www.hindawi.com/journals/cin/aip.html

  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. https://doi.org/10.1007/978-3-642-11628-5_37

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  • DOI: https://doi.org/10.1007/978-3-642-11628-5_37

  • 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)