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BCI-Related Research Focus at HCI International Conference

  • Gencay DenizEmail author
  • Pınar Onay Durdu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9732)

Abstract

Brain Computer Interface (BCI) is an emerging research area which has been studied over thirty years extensively in the fields of clinical neurophysiology and neuroscience however it is now recognized as an interdisciplinary field involving neurobiology, psychology, engineering, mathematics and computer science. HCI community has begun to deal with BCI and substantial publications have been made in HCI related journals and conferences in recent years. In the scope of this research we conducted a systematic mapping study with the articles published in proceedings of HCI International Conferences to reveal the trends, general aims of the articles, which signal recording modality were used, for what kind of practical applications were developed, which feature types and classification algorithms were used and what are the nationalities and institutes of contributing authors in the scope of HCI International conference. The aim was to give insight to the researchers who were studying or would like to study in the area of BCI. According to the results of the mapping, research type of BCI articles were mainly in the category of emerging applications not related to communication and control. General aim of the articles was determined as practical applications of BCI technologies first and then development or improvement of methodologies for signal processing issues. Visual P300 was the mostly applied BCI paradigms and SSVEP and motor imagery followed next. Most of the articles had reported EEG as a signal acquisition method, ICA or bandpass filter as a preprocessing or filtering method, ERP as a feature type and LDA and LR as a classification algorithm method.

Keywords

Systematic mapping study Brain - computer interface BCI BCI research trends HCI International 

References

  1. 1.
    Wolpaw, J.R., Birbaumer, N., McFarland, D.J., Pfurtscheller, G., Vaughan, T.M.: Brain–computer interfaces for communication and control. Clin. Neurophysiol. 113(6), 767–791 (2002)CrossRefGoogle Scholar
  2. 2.
    Gürkök, H., Nijholt, A.: Brain–computer interfaces for multimodal interaction: A survey and principles. Int. J. Hum. Comput. Interact. 28(5), 292–307 (2012)CrossRefGoogle Scholar
  3. 3.
    Nam, C.S., Schalk, G., Jackson, M.M.: Current trends in Brain-Computer interface (BCI) research and development. Intl. J. Hum. Comput. Interact. 27(1), 1–4 (2010)CrossRefGoogle Scholar
  4. 4.
    Hwang, H.J., Kim, S., Choi, S., Im, C.H.: EEG-based brain-computer interfaces: a thorough literature survey. Int. J. Hum. Comput. Interact. 29(12), 814–826 (2013)CrossRefGoogle Scholar
  5. 5.
    Mason, S.G., Bashashati, A., Fatourechi, M., Navarro, K.F., Birch, G.E.: A comprehensive survey of brain interface technology designs. Ann. Biomed. Eng. 35(2), 137–169 (2007)CrossRefGoogle Scholar
  6. 6.
    Mason, S.G., Birch, G.E.: A general framework for brain-computer interface design. Neural Syst. Rehabil. Eng. IEEE Trans. 11(1), 70–85 (2003)CrossRefGoogle Scholar
  7. 7.
    Lin, C.T., Ko, L.W., Chang, M.H., Duann, J.R., Chen, J.Y., Su, T.P., Jung, T.P.: Review of wireless and wearable electroencephalogram systems and brain-computer interfaces–a mini-review. Gerontology 56(1), 112–119 (2009)CrossRefGoogle Scholar
  8. 8.
    Brunner, P., Bianchi, L., Guger, C., Cincotti, F., Schalk, G.: Current trends in hardware and software for brain–computer interfaces (BCIs). J. Neural Eng. 8(2), 025001 (2011)CrossRefGoogle Scholar
  9. 9.
    Bi, L., Fan, X.A., Liu, Y.: EEG-based brain-controlled mobile robots: a survey. Hum. Mach. Syst. IEEE Trans. 43(2), 161–176 (2013)CrossRefGoogle Scholar
  10. 10.
    HCI International: Home (n.d.). Retrieved October 4, 2015. http://www.hci.international/index.php?&MMN_position=1:1
  11. 11.
    Kitchenham, B.A., Dyba, T., Jorgensen, M.: Evidence-based software engineering. In: Proceedings of the 26th International Conference on Software Engineering, pp. 273–281. IEEE Computer Society (2004)Google Scholar
  12. 12.
    Petersen, K., Feldt, R., Mujtaba, S., Mattsson, M.: Systematic mapping studies in software engineering. In: 12th International Conference on Evaluation and Assessment in Software Engineering, vol. 17, no. (1) (2008)Google Scholar
  13. 13.
    Kitchenham, B., Budgen, D., Brereton, O.P.: The value of mapping studies – a participant-observer case study. In: EASE 2010 Proceedings of the 14th International Conference on Evaluation and Assessment in Software Engineering, pp. 25–33 (2010). http://www.bcs.org/upload/pdf/ewic_ea10_session2paper1.pdf
  14. 14.
    Turdaliev, N., Bilgin, B., Deniz, G., Durdu, P.O., İncebacak, D., Mutlu, A.: UYMS Araştırma Eğilimleri: Bir Sistematik Eşleme Çalışması 9. National Software Engineering Symposium (2015). http://ceur-ws.org/Vol-1483/58_Bildiri.pdf

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Department of Computer Engineering, Graduate School of Natural and Applied SciencesKocaeli UniversityIzmitTurkey
  2. 2.Human Computer Interaction Research Laboratory, Department of Computer EngineeringKocaeli UniversityIzmitTurkey

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