Skip to main content

A Brain Computer Interface for Enhancing the Communication of People with Severe Impairment

  • Conference paper
Computational Science and Its Applications – ICCSA 2014 (ICCSA 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8584))

Included in the following conference series:

Abstract

We present a novel approach for providing people with severe impairment the possibility of collecting feedbacks and communication prompts using a Brain Computer Interface (BCI). In particular we implemented an experimental apparatus, based on MindWave; the latter is a low cost and well known BCI device released by NeuroSky®, based on a dry single electrode and designed for enhancing Human-Computer Interaction (HCI), especially for videogames [8]. Even if BCI is an emerging research area and appears to be still relatively immature, the expected future impact on HCI is really considerable.

The experimental apparatus allows users to interact with the computer only through their brain biological signals, without the need for using muscles. The BCI system is based on the Steady–State Visual Evoked Potential (SSVEP). The SSVEP is generated in presence of a repetitive visual stimuli; in our experiment two different visual stimuli are available: when the patient looks at one of the stimuli the SVVEP signal is generated and she/he can express a decision or respond to a question.

Even if the experiment has been tested only on a very limited patient set, the results are extremely promising.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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. Website source of the image, http://www.bci2000.org (accessed on February 28, 2014)

  2. Cecotti, H., Volosyak, I., Graser, A.: Reliable visual stimuli on LCD screens for SSVEP based BCI. In: Proc. of the 18th European Signal Processing Conference (EUSIPCO 2010). p. 5 pages. Aalborg, Danemark, This research was fully supported within the 6th European Community Framework Program by a Marie Curie European ToK grant BrainRobot, MTKD-CT-2004-014211 and within the 7th European Community Framework Program by a Marie Curie European Re-Integration Grant RehaBCI, PERG02-GA-2007-224753 and by an EU ICT grant BRAIN, ICT-2007-224156 (August 2010), http://hal.archives-ouvertes.fr/hal-00536125

  3. Guneysu, A., Akin, H.: An ssvep based bci to control a humanoid robot by using portable eeg device. In: 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 6905–6908 (July 2013)

    Google Scholar 

  4. Kuś, R., Duszyk, A., Milanowski, P., Łabęcki, M., Bierzyńska, M., Radzikowska, Z., Michalska, M., Zygierewicz, J., Suffczynski, P., Durka, P.J.: On the quantification of ssvep frequency responses in human eeg in realistic bci conditions. PLoS ONE 8, 1–9 (2013)

    Google Scholar 

  5. Lin, Y.P., Wang, Y., Jung, T.P.: A mobile ssvep-based brain-computer interface for freely moving humans: The robustness of canonical correlation analysis to motion artifacts. In: 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013 (2013)

    Google Scholar 

  6. Liu, Y., Jiang, X., Cao, T., Wan, F., Mak, P.U., Mak, P.I., Vai, M.I.: Implementation of ssvep based bci with emotiv epoc. In: 2012 IEEE International Conference on Virtual Environments Human-Computer Interfaces and Measurement Systems (VECIMS), pp. 34–37 (July 2012)

    Google Scholar 

  7. Luo, A., Sullivan, T.J.: A user-friendly ssvep-based brain computer interface using a time-domain classifier. Journal of Neural Engineering 7(2), 026010 (2010), http://stacks.iop.org/1741-2552/7/i=2/a=026010

  8. The neurosky biosensors website:, http://neurosky.com/products-markets/eeg-biosensors/ (accessed on February 28, 2014)

  9. The neurosky mindset website, http://developer.neurosky.com/docs/doku.php?id=mindset_instruction_manual (accessed on February 28, 2013)

  10. Resalat, S.N., Setarehdan, S.K.: An improved ssvep based bci system using frequency domain feature classification. American Journal of Biomedical Engineering 3, 1–8 (2013)

    Google Scholar 

  11. Seyed, N.R., Seyed, K.S.: An improved ssvep based bci system using frequency domain feature classification. American Journal of Biomedical Engineering 3, 1–8 (2013)

    Google Scholar 

  12. Stamatto Ferreira, A.L., Cunha de Miranda, L., Gomes Sakamoto, S.: A survey of interactive systems based on brain - computer interfaces. SBC Journal on 3D Interactive Systems 4, 3–12 (2013)

    Google Scholar 

  13. Wang, Y., Gao, X., Hong, B., Gao, S.: Practical designs of brain computer interfaces based on the modulation of eeg rhythms. In: Graimann, B., Pfurtscheller, G., Allison, B. (eds.) Brain-Computer Interfaces, The Frontiers Collection, pp. 137–154. Springer, Heidelberg (2010), http://dx.doi.org/10.1007/978-3-642-02091-9_8

    Google Scholar 

  14. Zhu, D., Bieger, J., Molina, G.G., Aarts, R.M.: A survey of stimulation methods used in ssvep-based bcis. Intell. Neuroscience 2010, 1:1–1:12 (2010), http://dx.doi.org/10.1155/2010/702357

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Gervasi, O., Magni, R., Macellari, S. (2014). A Brain Computer Interface for Enhancing the Communication of People with Severe Impairment. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2014. ICCSA 2014. Lecture Notes in Computer Science, vol 8584. Springer, Cham. https://doi.org/10.1007/978-3-319-09153-2_53

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-09153-2_53

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09152-5

  • Online ISBN: 978-3-319-09153-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics