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Auditory Brain-Computer Interfaces for Complete Locked-In Patients

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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

Brain-computer interfaces (BCIs) are intended for people unable to do any muscular movement such as complete locked-in patients. Most of the BCIs make use of visual interaction with the user, either in form of stimulation or biofeedback. However, visual BCIs challenge the ultimate use of BCIs because they require the subjects to gaze, explore and coordinate the eyes using their muscles, thus ruling out complete locked-in patients. Despite auditory BCIs overcome the problem of the visuals, there are not many examples of them in the BCI literature. In this paper we review the research and main contributions to auditory BCIs, and compare them with visual BCIs, especially to communicate with complete locked-in patients.

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Author information

Authors and Affiliations

  1. Department of Electronic Technology, University of Malaga, Spain

    M. A. Lopez-Gordo & Ricardo Ron-Angevin

  2. Department of Computer Architecture and Technology, University of Granada, Spain

    Francisco Pelayo Valle

Authors
  1. M. A. Lopez-Gordo
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  2. Ricardo Ron-Angevin
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  3. Francisco Pelayo Valle
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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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Lopez-Gordo, M.A., Ron-Angevin, R., Pelayo Valle, F. (2011). Auditory Brain-Computer Interfaces for Complete Locked-In Patients. 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_47

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  • DOI: https://doi.org/10.1007/978-3-642-21501-8_47

  • 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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