Advertisement

Brain Neural Computer Interface for Everyday Home Usage

  • Christoph Hintermüller
  • Eloisa Vargiu
  • Sebastian Halder
  • Jean Daly
  • Felip Miralles
  • Hannah Lowish
  • Nick Anderson
  • Suzanne Martin
  • Günter EdlingerEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9176)

Abstract

In the last years, Brain Neural Computer Interfaces (BNCIs) have been investigated and several applications have been proposed. Those systems have been explored almost exclusively in laboratories with developers and researchers. Home usage has been demonstrated, though only with on-going expert supervision. In this paper, we present a BNCI for everyday home usage. The proposed system is aimed at supporting the autonomy and independence of people living at home with a disability. The overall system is currently installed in three end-users’ home in Belfast.

Keywords

Cognitive Rehabilitation Acquire Brain Injury Cognitive Stimulation Game Session Primary User Interface 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

The research leading to these results has received funding from the European Community’s, Seventh Framework Programme FP7/2007-2013, BackHome project grant agreement n. 288566.

References

  1. 1.
    Aloise, F., Schettini, F., Aric, P., Salinari, S., Guger, C., Rinsma, J., Aiello, M., Mattia, D., Cincotti, F.: Validation of an asynchronous P300-based BCI with potential end users to control a virtual environment. In: Proceedings of 5th International Brain-Computer Interface Conference (2011)Google Scholar
  2. 2.
    Casals, E., Cordero, J.A., Dauwalder, S., Fernández, J.M., Solà, M., Vargiu, E., Miralles, F.: Ambient Intelligence by ATML - Rules in BackHome. Emerging ideas on Information Filtering and Retrieval. DART 2013: Revised and Invited Papers; C. Lai, A. Giuliani and G. Semeraro (eds.) (2015)Google Scholar
  3. 3.
    Hintermüller, C., Kapeller, C., Edlinger, G., Guger, C.: BCI Integration: Application Interfaces, Brain-Computer Interface Systems - Recent Progress and Future Prospects, Dr. Reza Fazel-Rezai (ed.), ISBN: 978-953-51-1134-4, InTech (2013). doi: 10.5772/55806. http://www.intechopen.com/books/brain-computer-interface-systems-recent-progress-and-future-prospects/bci-integration-application-interfaces
  4. 4.
    Kapeller, C., Hintermuller, C., Abu-Alqumsan, M., Pruckl, R., Peer, A., Guger, C.: A BCI using VEP for continuous control of a mobile robot. In: 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 5254–5257 (2013)Google Scholar
  5. 5.
    Käthner, I., Daly, J., Halder, S., Räderscheidt, J., Armstrong, E., Dauwalder, S., Hintermüller, C., Espinosa, A., Vargiu, E., Pinegger, A., Faller, J., Wriessnegger, S.C., Miralles, F., Lowish, H., Markey, D., Müller-Putz, G.R., Martin, S., Kübler, A.: A P300 BCI for e-inclusion, cognitive rehabilitation and smart home control. In: Müller-Putz, G.R., Bauernfeind, G., Brunner, C., Steyrl, D., Wriessnegger, S., Scherer, R. (eds.), Proceedings of the 6th International Brain-Computer Interface Conference, September 16–19, 2014, pp. 60–63. Graz University of Technology, Austria: Verlag der Technischen Universität Graz (2014). doi: 10.3217/978-3-85125-378-8-15
  6. 6.
    Kübler, A., Neumann, N., Kaiser, J., Kotchoubey, B., Hinterberger, T., Birbaumer, N.P.: Brain-computer communication: self-regulation of slow cortical potentials for verbal communication. Arch. Phys. Med. Rehabil. 82(11), 1533–9 (2011)CrossRefGoogle Scholar
  7. 7.
    Mak, J.N., Wolpaw, J.R.: Clinical applications of brain-computer interfaces: current state and future prospects. IEEE Rev. Biomed. Eng. 2, 187–199 (2009)CrossRefGoogle Scholar
  8. 8.
    Miralles, F., Vargiu, E., Dauwalder, S., Solà, M., Fernández, J.M., Casals, E., Cordero, J.A.: Telemonitoring and home support in BackHome. In: DART 2014 - 8th International Workshop on Information Filtering and Retrieval - co-located with AIxIA 2014 (2014)Google Scholar
  9. 9.
    Münßinger, J.I., Halder, S., Kleih, S.C., Furdea, A., Raco, V., Hösle, A., Kübler, A.: Brain Painting: first evaluation of a new brain–computer interface application with ALS-patients and healthy volunteers. Frontiers in Neuroprosthetics, 4(182) (2010). doi: 10.3389/fnins.2010.00182
  10. 10.
    Rafael-Palou, X., Vargiu, E., Serra, G., Miralles, F.: Improving activity monitoring through a hierarchical approach. In: The International Conference on Information and Communication Technologies for Ageing Well and e-Health, May, 20–22 2015, Lisbon (2015)Google Scholar
  11. 11.
    Ramos-Murguialday, A., Broetz, D., Rea, M., Läer, L., Yilmaz, Ö., Brasil, F.L., Liberati, G., Curado, M.R., Garcia-Cossio, E., Vyziotis, A., Cho, W., Agostini, M., Soares, E., Soekadar, S., Caria, A., Cohen, L.G., Birbaumer, N.: Brain–machine interface in chronic stroke rehabilitation: A controlled study. Ann. Neurol. 74, 100–108 (2013). doi: 10.1002/ana.23879 CrossRefGoogle Scholar
  12. 12.
    Vargiu, E., Dauwalder, S., Daly, J., Armstrong, E., Martin, S., Miralles, F.: Cognitive rehabilitation through BNCI: serious games in BackHome. In: Müller-Putz, G.R., Bauernfeind, G., Brunner, C., Steyrl, D., Wriessnegger, S., Scherer, R. (eds.), Proceedings of the 6th International Brain-Computer Interface Conference,September 16–19, 2014, pp. 36–39. Graz University of Technology, Austria: Verlag der Technischen Universität Graz (2014). doi: 10.3217/978-3-85125-378-8-9
  13. 13.
    Vargiu, E., Fernández, J.M., Miralles, F.: Context-Aware based Quality of Life Telemonitoring. Distributed Systems and Applications of Information Filtering and Retrieval. Lai, C. et al. (eds.), Distributed Systems and Applications of Information Filtering and Retrieval, Studies in Computational Intelligence 515, Springer-Verlag, Berlin Heidelberg 2014. doi: 10.1007/978-3-642-40621-8_1 (2014)
  14. 14.
    Vargiu, E., Fernández, J.M., Torrellas, S., Dauwalder, S., Solà, M., Miralles, F.: A sensor-based telemonitoring and home support system to improve quality of life through BNCI. In: Assistive Technology: From Research to Practice, AAATE 2013. Encarnação, P., Azevedo, L., Gelderblom, G.J., Newell, A., Mathiassen, N.-E. (eds.), September 2013. ISBN 978-1-61499-303-2 (2013)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Christoph Hintermüller
    • 1
  • Eloisa Vargiu
    • 2
  • Sebastian Halder
    • 3
  • Jean Daly
    • 4
  • Felip Miralles
    • 2
  • Hannah Lowish
    • 5
  • Nick Anderson
    • 6
  • Suzanne Martin
    • 4
  • Günter Edlinger
    • 1
    • 7
    Email author
  1. 1.Guger Technologies OGGrazAustria
  2. 2.Barcelona Digital Technology CenterBarcelonaSpain
  3. 3.Institute of PsychologyUniversity of WürzburgWürzburgGermany
  4. 4.The Cedar FoundationBelfastUK
  5. 5.Telehealth SolutionsMedvivo GroupWiltshireUK
  6. 6.Cortech Solutions, Inc.WilmingtonUSA
  7. 7.G.Tec Medical Engineering GmbHSchiedlbergAustria

Personalised recommendations