Skip to main content

Development of Brain-Computer Interface (BCI) System for Bridging Brain and Computer

  • Conference paper
13th International Conference on Biomedical Engineering

Part of the book series: IFMBE Proceedings ((IFMBE,volume 23))

  • 125 Accesses

Abstract

A brain-computer interface (BCI) is a nonmuscular communication channel which allows physically disabled people to re-establish interaction with their surrounding environment. The aim of this system is to detect user’s intentions or thoughts from brain activities which are measured as EEG (electroencephalogram) or other non-invasive recording techniques.

We have developed the BCI system to detect user’s motor imagery from motor-related EEG activities. It was shown that online training with a feedback of EEG band-power on specified frequency range made the accuracy of command detection higher. And we proposed an auditory BCI based on auditory stream segregation, on which users were requested to attend to one of the tone streams and their object of interest was detected from auditory event-related potentials.

In this article, the concept and some of our recent researches on BCI are introduced.

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 259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
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 JR, Birbaumer N, Heetderks WJ, McFarland DJ, Peckham PH, Schalk G, Donchin LA, Robinson CJ, Vaughan TM (2000) “Brain-computer interface technology: A review of the first international meeting”, IEEE Transactions on Rehabilitation Engineering, 8(2):164–173.

    Article  Google Scholar 

  2. Kanoh S, Scherer R, Yoshinobu T, Hoshimiya N, Pfurtscheller G (2006) “Brain Switch” BCI system based on EEG during foot movement imagery. Proceedings of the 3rd International BCI Workshop and Training Course 2006, 64–65.

    Google Scholar 

  3. Kanoh S, Scherer R, Yoshinobu T, Hoshimiya N, Pfurtscheller G (2008) Effects of long-term feedback training on oscillatory EEG components modulated by motor imagery, Proceedings of the 4th International BCI Workshop and Training Course 2008, 150–155.

    Google Scholar 

  4. Kanoh S, Miyamoto K, Yoshinobu T (2008) A brain-computer interface (BCI) system based on auditory stream segregation, Proceedings of the 30th Annual International IEEE EMBS Conference, 642–645.

    Google Scholar 

  5. Pfurtscheller G, Neuper C, Birbaumer N (2005) Human braincomputer interface. In: A. Riehle and E. Vaadia (Eds.), Motor cortex in voluntary movements: A distributed system for distributed functions, 367–401, CRC Press.

    Google Scholar 

  6. Pfurtscheller G, Lopes da Silva FH (1999) Event-related EEG/MEG synchronization and desynchronization: basic principles. Clinical Neurophysiology, 110:1842–1857.

    Article  Google Scholar 

  7. Pfurtscheller G, Müller-Putz GR, Pfurtscheller J, Rupp R (2005) EEG-based asynchronous BCI controls functional electrical stimulation in a tetraplegic patient. EURASIP Journal on Applied Signal Processing, 19:3152–3155.

    MATH  Google Scholar 

  8. Graimann B, Huggins JE, Levine SP, Pfurtscheller G (2002) Visualization of significant ERD/ERS patterns in multichannel EEG and ECoG data. Clinical Neurophysiology, 133:43–47.

    Article  Google Scholar 

  9. Townsend G, Graimann B and Pfurtscheller G (2004) Continuous EEG classification during motor imagery — Simulation of an asynchronous BCI. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 12:258–265.

    Article  Google Scholar 

  10. E. Donchin E, Spencer KM, Wijesinghe R (2000) The mental prosthesis: Assessing the speed of a P300-based brain-computer interface, IEEE Transactions on Rehabilitation Engineering, 8(2):174–179.

    Article  Google Scholar 

  11. Hill NJ, Lal N, Bierig K, Birbaumer N, Scholkof B (2005) An auditory paradigm for brain-computer interfaces, Advances in Neural Information Processing Systems, 17:569–576.

    Google Scholar 

  12. Bregman AS (1990) Auditory scene analysis: The perceptual organization of sound, The MIT Press.

    Google Scholar 

  13. Kanoh S, Futami R, Hoshimiya N (2004) Sequential grouping of tone sequence as reflected by the mismatch negativity, Biological Cybernetics, 91(6):388–395.

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 International Federation of Medical and Biological Engineering

About this paper

Cite this paper

Kanoh, S., Miyamoto, K., Yoshinobu, T. (2009). Development of Brain-Computer Interface (BCI) System for Bridging Brain and Computer. In: Lim, C.T., Goh, J.C.H. (eds) 13th International Conference on Biomedical Engineering. IFMBE Proceedings, vol 23. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92841-6_568

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-92841-6_568

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-92840-9

  • Online ISBN: 978-3-540-92841-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics