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Towards an Adaptive Brain-Computer Interface – An Error Potential Approach

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Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction (MPRSS 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8869))

Abstract

In this paper a new adaptive Brain Computer Interface (BCI) architecture is proposed that allows to autonomously adapt the BCI parameters in malfunctioning situations. Such situations are detected by discriminating EEG Error Potentials and when necessary the BCI mode is switched back to the training stage in order to improve its performance. First, the modules of the adaptive BCI are presented, then the scenarios for identification of the user reaction to intentionally introduced errors are discussed and finally promising preliminary results are commented. The proposed concept has the potential to increase the reliability of BCI systems.

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Acknowledgments

The work was partially funded by the Portuguese National Foundation for Science and Technology (FCT) in the context of the project FCOMP-01-0124-FEDER-022682 (FCT reference PEst-C/EEI/UI0127/2011) and the Institute of Electronics Engineering and Telematics of Aveiro (IEETA), Portugal.

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Authors and Affiliations

  1. IEETA/DETI, University of Aveiro, Aveiro, Portugal

    Nuno Figueiredo, Filipe Silva & Petia Georgieva

  2. Computer Science Department, University of Arkansas at Little Rock, Little Rock, USA

    Mariofanna Milanova

  3. Department of Computer Engineering, KTO Karatay University, Konya, Turkey

    Engin Mendi

Authors
  1. Nuno Figueiredo
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  2. Filipe Silva
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  3. Petia Georgieva
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  4. Mariofanna Milanova
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  5. Engin Mendi
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Corresponding authors

Correspondence to Petia Georgieva or Mariofanna Milanova .

Editor information

Editors and Affiliations

  1. University of Ulm, Universität Ulm, Ulm, Germany

    Friedhelm Schwenker

  2. University of Southern California, Playa Vista, California, USA

    Stefan Scherer

  3. University of Southern California, Playa Vista, California, USA

    Louis-Philippe Morency

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© 2015 Springer International Publishing Switzerland

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Figueiredo, N., Silva, F., Georgieva, P., Milanova, M., Mendi, E. (2015). Towards an Adaptive Brain-Computer Interface – An Error Potential Approach. In: Schwenker, F., Scherer, S., Morency, LP. (eds) Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction. MPRSS 2014. Lecture Notes in Computer Science(), vol 8869. Springer, Cham. https://doi.org/10.1007/978-3-319-14899-1_12

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  • DOI: https://doi.org/10.1007/978-3-319-14899-1_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14898-4

  • Online ISBN: 978-3-319-14899-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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