Skip to main content

Brain-Computer Interface in Intelligent Environment

  • Conference paper
  • First Online:
Control, Computer Engineering and Neuroscience (ICBCI 2021)

Abstract

Brain-computer interface (BCI) is a new form of communication between human and computer without using any physical means. Applicating BCI system into the intelligent environment can become very appropriable especially when we are stepping into times where efficiency and comfort is becoming top priority. This research paper focuses on application of different brain-computer mechanisms in smart homes and environments.

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 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
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

References

  1. Birbauer, N., Murguialday, A.R., Cohen, L.: Brain-computer-interface (BCI) in paralysis. Curr. Opin. Neurol. (2008).https://doi.org/10.1097/WCO.0b013e328315ee2d

  2. Kübler, A., Kotchoubey, B., Kaiser, J., Wolpaw, J.R., Birbaumer, N.: Brain-computer communication: unlocking the locked in. Psychol. Bull. (2001). https://doi.org/10.1037/0033-2909.127.3.358

  3. Riccio, A., Simione, L., Schettini, F., Pizzimenti, A., Inghilleri, M., Belardinelli, M.O., et al.: Attention and P300-based BCI performance in people with amyotrophic lateral sclerosis. Front. Hum. Neurosci. (2013).https://doi.org/10.3389/fnhum.2013.00732

  4. Mao, X., Li, M., Li, W., Niu, L., Xian, B., Zeng, M., et al.: Progress in EEG-based brain robot interaction systems. Comput. Intell. Neurosci. 2017, 1–25 (2017). https://doi.org/10.1155/2017/1742862

  5. Birbaumer, N., Ghanayim, N., Hinterberger, T., Iversen, I., Kotchoubey, B., Kubler, A., Perelmouter, J., Taub, E., Flor, H.: A spelling device for the paralysed. Nature 398, 297–298 (1999). https://doi.org/10.1038/18581

  6. 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 (2006). https://doi.org/10.1016/j.biopsycho.2006.04.007

  7. Guger, C., Daban, S., Sellers, E., Holzner, C., Krausz, G., Carabalona, R., Gramatica, F., Edlinger, G.: How many people are able to control a P300-based brain-computer interface (BCI)? (2009). https://doi.org/10.1016/j.neulet.2009.06.045

  8. Allison, B., Luth, T., Valbuena, D., Teymourian, A., Volosyak, I., Graser, A.: BCI demographics: how many (and what kinds of) people can use an SSVEP BCI? IEEE Trans. Neural Syst. Rehabil. Eng. (2009). https://doi.org/10.1109/TNSRE.2009.2039495

  9. Friman, O., Volosyak, I., Graser, A.: Multiple channel detection of steady-state visual evoked potentials for brain-computer interfaces (2006). https://doi.org/10.1109/TBME.2006.889160

  10. Carabalona, R., Grossi, F., Tessadri, A., Castiglioni, P., Caracciolo, A., de Munari, I.: Light on! real world evaluation of a P300-based brain-computer interface (BCI) for environment control in a smart home (2012). https://doi.org/10.1080/00140139.2012.661083

  11. Nataliya, K., Franck, T.B., Nicolas, B., Bertrand, R.: Feasibility of BCI control in a realistic smart home environment. Front. Hum. Neurosci. (2016). https://doi.org/10.3389/fnhum.2016.00416

  12. Pfurtscheller, G., Allison, B.Z., Brunner, C., Bauernfeind, G., Solis-Escalante, T., Scherer, R., Zander, T.O., Mueller-Putz, G., Neuper, C., Birbaumer, N.: The hybrid BCI. Front. Neurosci. (2010). https://doi.org/10.3389/fnpro.2010.00003

  13. Gao, Q., Li, X., Sui, Y., Gu, H., Yu, Z., Zhang, Q., et al.: Design and implementation of LED intelligent lighting system based on the technology of PoE. In: CCDC: The 27th Chinese Control and Decision Conference (2015). https://doi.org/10.1109/CCDC.2015.7162366

  14. Liu, Y., Jiang, X., Cao, T., Wan, F., Mak, P.U., Mak, P.I., Vai, M.I.: Department of Electrical and Computer Engineering Faculty of Science and Technology University of Macau Implementation of SSVEP Based BCI with Emotiv EPOC (2012). https://doi.org/10.1109/VECIMS.2012.6273184

  15. Paszkiel, S., Dobrakowski, P., Lysiak, A.: The impact of different sounds on stress level in the context of EEG, cardiac measures and subjective stress level: a pilot study. Brain Sci. 10(10), 728 (2020). https://doi.org/10.3390/brainsci10100728

  16. Nakanishi, M., Wang, Y., Wang, Y.T., Mitsukura, Y., Jung, T.P.: An approximation approach for rendering visual flickers in SSVEP-based BCI using monitor refresh rate (2013). https://doi.org/10.1109/EMBC.2013.6609966

  17. Bayliss, J.: Use of the evoked potential P3 component for control in a virtual apartment (2003). https://doi.org/10.1109/TNSRE.2003.814438

  18. Holzner, C., Guger, C., Edlinger, G., Groenegress, C., Slater, M.: Virtual smart home controlled by thoughts (2009). https://doi.org/10.1109/WETICE.2009.41

  19. Paszkiel, S.: Using BCI in IoT implementation. In: Analysis and Classification of EEG signals for brain-computer interfaces. Studies in Computational Intelligence, vol. 852, pp. 101–110 (2020). https://doi.org/10.1007/978-3-030-30581-9_12

  20. Ruscher, G., Krüger, F., Bader, S., Kirste, T.: Controlling smart environments using a brain computer interface (2011)

    Google Scholar 

  21. Adams, M., Benda, M., Saboor, A., Krause, A.F., Rezeika, A., Gembler, F., Stawicki, P., Hesse, M., Essig, K., Ben-Salem, S., Islam, Z., Vogelsang, A., Jungeblut, T., Rückert, U., Volosyak, I.: Towards an SSVEP-BCI controlled smart home (2019). https://doi.org/10.1109/SMC.2019.8914668

  22. Neumann, A., Elbrechter, C., Pfeiffer-Leßmann, N., Koiva, R., Carlmeyer, B., Ruther, S., Schade, M., ̈Uckermann, A., Wachsmuth, S., Ritter, H.J.: KogniChef: a cognitive cooking assistant (2017). https://doi.org/10.1007/s13218-017-0488-6

  23. Esselmann, C., Gabel, K., Schwenzfeier-Hellkamp, E.: Realization of a test setup for a smart light guiding system with assistance functions for elderly people (2017)

    Google Scholar 

  24. Kothe, C.: Labstreaminglayer. https://github.com/sccn/labstreaminglayer

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Paweł Piróg .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Piróg, P. (2021). Brain-Computer Interface in Intelligent Environment. In: Paszkiel, S. (eds) Control, Computer Engineering and Neuroscience. ICBCI 2021. Advances in Intelligent Systems and Computing, vol 1362. Springer, Cham. https://doi.org/10.1007/978-3-030-72254-8_22

Download citation

Publish with us

Policies and ethics