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Audio-Cued SMR Brain-Computer Interface to Drive a Virtual Wheelchair

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Advances in Computational Intelligence (IWANN 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6691))

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Abstract

In this work, an electroencephalographic analysis-based, self-paced (asynchronous) brain-computer interface (BCI) is proposed to control a virtual wheelchair using three different navigation commands: turn right, turn left and move forward. In order to reduce the probability of misclassification, the BCI is to be controlled with only two mental tasks (relaxed state versus imagination of right hand movements) using an audio-cued interface. Six healthy subjects participated in the experiment. After two training sessions controlling a wheelchair in a virtual environment using both a visual and auditory interface, all subjects successfully controlled the wheelchair in the last session, where the interface was only auditory. The obtained results support the use of the proposed interface to control a real wheelchair without the need of a screen to provide visual stimuli or feedback.

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Author information

Authors and Affiliations

  1. Dpto. Tecnología Electrónica, E.T.S.I. Telecomunicación, Universidad de Málaga, Spain

    Francisco Velasco-Álvarez, Ricardo Ron-Angevin, Leandro da Silva-Sauer & Salvador Sancha-Ros

  2. Dpto. Psicobiología y Metodología de las Ciencias del Comportamiento, Facultad de Psicología, Universidad de Málaga, Spain

    María José Blanca-Mena

Authors
  1. Francisco Velasco-Álvarez
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  2. Ricardo Ron-Angevin
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  3. Leandro da Silva-Sauer
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  4. Salvador Sancha-Ros
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  5. María José Blanca-Mena
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Editor information

Editors and Affiliations

  1. Departament d’Enginyeria Electrònica, Universitat Politècnica de Catalunya (UPC), Campus Nord, Edificio C4, c/ Gran Capità s/n, 08034, Barcelona, Spain

    Joan Cabestany

  2. Department of Computer Architecture and Computer Technology, University of Granada, C/ Periodista Daniel Saucedo Aranda, 18071, Granada, Spain

    Ignacio Rojas

  3. Departamento Tecnologia Eletrónica, Universidad de Málaga, Campus de Teatinos, 29071, Málaga, Spain

    Gonzalo Joya

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© 2011 Springer-Verlag Berlin Heidelberg

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Velasco-Álvarez, F., Ron-Angevin, R., da Silva-Sauer, L., Sancha-Ros, S., Blanca-Mena, M.J. (2011). Audio-Cued SMR Brain-Computer Interface to Drive a Virtual Wheelchair. In: Cabestany, J., Rojas, I., Joya, G. (eds) Advances in Computational Intelligence. IWANN 2011. Lecture Notes in Computer Science, vol 6691. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21501-8_42

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  • DOI: https://doi.org/10.1007/978-3-642-21501-8_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21500-1

  • Online ISBN: 978-3-642-21501-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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