Skip to main content

A Comparison of SSVEP-Based BCI-Performance Between Different Age Groups

  • Conference paper
  • First Online:
Advances in Computational Intelligence (IWANN 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9094))

Included in the following conference series:

Abstract

In this paper we compare the performance of a SSVEP-based BCI spelling application of two different equally sized age groups (five subjects each, ranging from 19 to 27 years and 66 to 70 years). Our results confirm that elderly people may have a slightly deteriorated information transfer rate (ITR). The mean (SD) ITR of the young age group was 27.18 (8.82) bit/min while the elderly people achieved an ITR of 14.42 (6.29) bit/min. The results show that the subject age must be taken into account during the development of a SSVEP-based application.

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. Allison, B., Lüth, T., Valbuena, D., Teymourian, A., Volosyak, I., Gräser, A.: BCI Demographics: How many (and what kinds of) people can use an SSVEP BCI? IEEE Trans. Neural Syst. Rehabil. Eng. 18(2), 107–116 (2010)

    Article  Google Scholar 

  2. Dias, N., Mendes, P., Correia, J.: Subject age in P300 BCI. In: Proceedings of the 2 International IEEE EMBS, March 2005

    Google Scholar 

  3. Ehlers, J., Valbuena, D., Stiller, A., Gräser, A.: Age-specific mechanisms in an SSVEP-based BCI scenario: Evidences from spontaneous rhythms and neuronal oscillators. Computational Intelligence and Neuroscience 2012, 20 (2012)

    Google Scholar 

  4. Gao, S., Wang, Y., Gao, X., Hong, B.: Visual and auditory brain-computer interfaces. IEEE Transactions on Biomedical Engineering 61(5), 1436–1447 (2014)

    Article  Google Scholar 

  5. Gembler, F., Stawicki, P., Volosyak, I.: Towards a user-friendly BCI for elderly people. In: Proceedings of the 6th International Brain-Computer Interface Conference Graz (2014)

    Google Scholar 

  6. Grosse-Wentrup, M., Schölkopf, B.: A review of performance variations in SMR-based brain- computer interfaces (BCIs). In: Guger, C., Allison, B.Z., Edlinger, G. (eds.) Brain-Computer Interface Research, pp. 39–51. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  7. Kick, C., Volosyak, I.: Evaluation of different spelling layouts for SSVEP based BCIs. In: 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 1634–1637. IEEE (2014)

    Google Scholar 

  8. Macpherson, H., Pipingas, A., Silberstein, R.: A steady state visually evoked potential investigation of memory and ageing. Brain and Cognition 69, 571–579 (2009)

    Article  Google Scholar 

  9. Vialatte, F.B., Maurice, M., Dauwels, J., Cichocki, A.: Steady-state visually evoked potentials: Focus on essential paradigms and future perspectives. Prog. Neurobiol. 90, 418–438 (2010)

    Article  Google Scholar 

  10. Volosyak, I., Valbuena, D., Lüth, T., Malechka, T., Gräser, A.: BCI Demographics II: How many (and what kinds of) people can use an SSVEP BCI? IEEE Trans. Neural Syst. Rehabil. Eng. 19(3), 232–239 (2011)

    Article  Google Scholar 

  11. Volosyak, I.: SSVEP-based Bremen-BCI interface - boosting information transfer rates. J. Neural Eng. 8(3), 036020 (2011)

    Article  Google Scholar 

  12. Volosyak, I., Moor, A., Gräser, A.: A dictionary-driven SSVEP speller with a modified graphical user interface. In: Cabestany, J., Rojas, I., Joya, G. (eds.) IWANN 2011, Part I. LNCS, vol. 6691, pp. 353–361. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  13. Wolpaw, J.R.: Brain-Computer Interface. Encyclopedia of Neuroscience 1, 429–437 (2009)

    Google Scholar 

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

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ivan Volosyak .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Gembler, F., Stawicki, P., Volosyak, I. (2015). A Comparison of SSVEP-Based BCI-Performance Between Different Age Groups. In: Rojas, I., Joya, G., Catala, A. (eds) Advances in Computational Intelligence. IWANN 2015. Lecture Notes in Computer Science(), vol 9094. Springer, Cham. https://doi.org/10.1007/978-3-319-19258-1_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-19258-1_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19257-4

  • Online ISBN: 978-3-319-19258-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics