Skip to main content

Brain-Computer Interface: Generic Control Interface for Social Interaction Applications

  • Conference paper
Advances in Computational Intelligence (IWANN 2011)

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

Included in the following conference series:

Abstract

After suffering a more severe disease like spinal cord injury or stroke patients are often not able to interact or even communicate with their environment anymore, especially at the beginning of rehabilitation. Brain-computer interfaces (BCIs) can substitute this temporarily lost communication channels and might support rehabilitation by providing an alternative way for controlling a computer only by thoughts without any muscle activity. This enables the patient to communicate by writing letters on the screen, to stay socially in contact with friends or people outside the rehabilitation facility by participating in games like Second Life where they may appear as healthy persons. Another application is to control items in their room connected to the BCI system like the lights which can be turned off and on as it can be done in a virtual smart home without leaving the bed. In this paper a generic BCI interface is described which allows to control the aforementioned applications concurrently and transparently switch among them utilizing the P300 approach. The results of a recent study show that such a BCI can be used by patients suffering from cervical spinal cord injury almost as well as by healthy people which encourages us to think it may assist rehabilitation regarding the social aspect.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Wolpaw, J.R., Birbaumer, N., McFarland, D.J., Pfurtscheller, G., Vaughan, T.M.: Brain-computer interfaces for communication and control. Clin. Neurophysiol. 113(6), 767–791 (2002)

    Article  Google Scholar 

  2. Farwell, L.A., Donchin, E.: Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials. Electroencephalogr. Clin. Neurophysiol. 70(6), 510–523 (1988)

    Article  Google Scholar 

  3. Finke, A., Lenhardt, A., Ritter, H.: The MindGame: A P300-based brain-computer interface game. Neural Networks 22(9), 1329–1333 (2009)

    Article  Google Scholar 

  4. Citi, L., Poli, R., Cinel, C., Sepulveda, F.: P300-Based BCI Mouse With Genetically-Optimized Analogue Control. IEEE Trans. Neural Syst. Rehabil. Eng. 16(1), 51–61 (2008)

    Article  Google Scholar 

  5. Krusienski, D.J., Sellers, E.W., McFarland, D.J., Vaughan, T.M., Wolpaw, J.R.: Toward enhanced P300 speller performance. J. Neurosci. Methods 167(1), 15–21 (2008)

    Article  Google Scholar 

  6. Ortner, R., Bruckner, M., Prückl, R., Grünbacher, E., Costa, U., Opisso, E., Medina, J., Guger, C.: Accuracy of a P300 Speller for People with Motor Impairments. In: Proceedings of the IEEE Symposium Series on Computational Intelligence (2011) (in press)

    Google Scholar 

  7. Donchin, E., Spencer, K.M., Wijesinghe, R.: The mental prosthesis: assessing the speed of a P300-based brain-computer interface. IEEE Trans. Rehabil. Eng. 8(2), 174–179 (2000)

    Article  Google Scholar 

  8. Sellers, E.W., Krusienski, D.J., McFarland, D.J., Vaughan, T.M., Wolpaw, J.R.: A P300 event-related potential brain-computer interface (BCI): The effects of matrix size and inter stimulus interval on performance. Biological Psychology 73(3), 242–252 (2006)

    Article  Google Scholar 

  9. Guger, C., Daban, S., Sellers, E.W., Holzner, C., Krausz, G., Carabalona, R., Gramatica, F., Edlinger, G.: How many people are able to control a P300-based brain-computer interface (BCI)? Neuroscience Letters 462(1), 94–98 (2009)

    Article  Google Scholar 

  10. Edlinger, G., Holzner, C., Groenegress, G., Guger, C., Slater, M.: Goal-Oriented Control with Brain-Computer Interface. In: Proceedings of the 5th International Conference on Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience, pp. 732–740. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Hintermüller, C., Guger, C., Edlinger, G. (2011). Brain-Computer Interface: Generic Control Interface for Social Interaction Applications. 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_48

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-21501-8_48

  • 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)

Publish with us

Policies and ethics