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Converging Clinical and Engineering Research on Neurorehabilitation pp 1171–1175Cite as

Hybrid EEG-Based BCI User Interface for Action Selection

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Part of the Biosystems & Biorobotics book series (BIOSYSROB,volume 1)

Abstract

In this study we developed a Graphical User Interface (GUI) to control a Brain-Computer Interface (BCI) by means of Event Related Potentials (ERP) and/or Motor Imagery (MI). It allows users to select actions to operate an upper-limb neuroprosthesis. The action’s selection is divided into 2 steps: choice and confirmation, which can be controlled using ERP or MI. We also present results of experiments with 12 participants who used this GUI and show that high performance is achieved with all possible combinations of paradigms. The GUI mode in which both the selection and confirmation steps use the ERP paradigm obtains the highest accuracy.

Keywords

  • Graphical User Interface
  • Motor Imagery
  • Event Relate Poten
  • Action Selection
  • Functional Electrical Stimulation

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

This work was funded by the grants EC FP7 ICT 2009-4-248326 (European Project MUNDUS), ICT-2008-216886 and by the BFNT - Bernstein Focus: Neurotechnology 01GQ0850 . This publication only reflects the author’s views. Funding agencies are not liable for any use that may be made of the information contained herein.

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  • DOI: 10.1007/978-3-642-34546-3_193
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References

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Author information

Authors and Affiliations

  1. Machine Learning Group, Computer Science Faculty, Berlin Institute of Technology, Berlin, Germany

    J. Pascual & C. Vidaurre

  2. Neurotechnology Group, Berlin Institute of Technology, Berlin, Germany

    R. Lorenz & B. Blankertz

Authors
  1. J. Pascual
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  2. R. Lorenz
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  3. B. Blankertz
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  4. C. Vidaurre
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Editor information

Editors and Affiliations

  1. Bioengineering Group, Spanish National Research Council (CSIC), Madrid, Spain

    José L Pons

  2. Bioengineering Group, Spanish National Research Council (CSIC), Madrid, Spain

    Diego Torricelli

  3. Bioengineering Group, Spanish National Research Council (CSIC), Madrid, Spain

    Marta Pajaro

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© 2013 Springer-Verlag Berlin Heidelberg

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Pascual, J., Lorenz, R., Blankertz, B., Vidaurre, C. (2013). Hybrid EEG-Based BCI User Interface for Action Selection. In: Pons, J., Torricelli, D., Pajaro, M. (eds) Converging Clinical and Engineering Research on Neurorehabilitation. Biosystems & Biorobotics, vol 1. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34546-3_193

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  • DOI: https://doi.org/10.1007/978-3-642-34546-3_193

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34545-6

  • Online ISBN: 978-3-642-34546-3

  • eBook Packages: EngineeringEngineering (R0)