Journal of Information Processing Systems

Korea Information Processing Society (한국정보처리학회)
권호 표지
DOI QR코드

DOI QR Code

A Framework for Processing Brain Waves Used in a Brain-computer Interface

  • Sung, Yun-Sick (Dept. of Game Engineering, Graduate School, Dongguk University) ;
  • Cho, Kyun-Geun (Dept. of Multimedia Engineering, Dongguk University) ;
  • Um, Ky-Hyun (Dept. of Multimedia Engineering, Dongguk University)
  • Received : 2011.10.06
  • Accepted : 2012.02.10
  • Published : 2012.06.30
Download PDF
⟨ Previous Next ⟩

Abstract

Recently, methodologies for developing brain-computer interface (BCI) games using the BCI have been actively researched. The existing general framework for processing brain waves does not provide the functions required to develop BCI games. Thus, developing BCI games is difficult and requires a large amount of time. Effective BCI game development requires a BCI game framework. Therefore the BCI game framework should provide the functions to generate discrete values, events, and converted waves considering the difference between the brain waves of users and the BCIs of those. In this paper, BCI game frameworks for processing brain waves for BCI games are proposed. A variety of processes for converting brain waves to apply the measured brain waves to the games are also proposed. In an experiment the frameworks proposed were applied to a BCI game for visual perception training. Furthermore, it was verified that the time required for BCI game development was reduced when the framework proposed in the experiment was applied.

Keywords

References

  1. J. R. Wolpaw, N. Birbaumer, D. J. McFarland, G. Pfurtsheller, T. M.Vaughan, "Brain computer interfaces for communication and control," Clinical Neurophysiology, Vol.113, 2002, pp.767-791. https://doi.org/10.1016/S1388-2457(02)00057-3
  2. I. Iturrate, J. Antelis, A. Kübler, and J. Minguez, "A Non-Invasive Brain-Actuated Wheelchair based on a P300 Neurophysiological Protocol and Automated Navigation," IEEE Transactions on Robotics, Vol.25, 2009, pp.614-627. https://doi.org/10.1109/TRO.2009.2020347
  3. E. E. Fetz, "Operant Conditioning of Cortical Unit Activity," Science, Vol.163, 1969.
  4. Neurosky, http://www.neurosky.com
  5. Emotive, http://www.emotiv.com
  6. B. Reuderink, "Games and Brain-Computer Interfaces: The State of the Art," WP2 BrainGain Deliverable Human Media Interaction (HMI), University of Twente, September, 2008, pp.1-11.
  7. A. Nijholt, "BCI for Games: A 'State of the Art' Survey," Entertainment Computing - ICEC 2008, Lecture Notes in Computer Science, Vol.5309, 2009, pp.225-228.
  8. A. Kachenoura, L. Albera, L. Senhadji, and P. Comon, "ICA: a potential tool for BCI systems," Signal Processing Magazine, IEEE, Vol.25, 2008, pp.57-68.
  9. A. Lecuyer, Y. Renard, OpenViBE: Open-Source Software for Brain-Computer Interfaces, ERCIM News, 2009.
  10. G. Schalk, D. J. Mcfarl, T. Hinterberger, N. Birbaumer, and J. R. Wolpaw, "BCI2000: A generalpurpose brain-computer interface (BCI) system," IEEE Transactions on Biomedical Engineering, 51, 2004.
  11. A. Schlogl, C. Brunner, "BioSig: A Free and Open Source Software Library for BCI Research," Computer, Vol.41, 2008, pp.44-50.
  12. J. Lehtonen, EEG-based brain computer interfaces, Master's thesis, Helsinki University of Technology: Department of Electrical and Communication Engineering, 2002.
  13. C. Lee, "Development of the Game for Increasing Intensive Power using EEG Signal," Journal of Game Society, Vol.9, 2009.
  14. P. Perego, L. Maggi, S. Parini, and G. Andreoni, "BCI++: A New Framework for Brain Computer Interface Application," 18th International Conference on Software Engineering and Data Engineering (SEDE-2009), 2009, pp.37-41.
  15. Y. Sung, K. Cho, and K. Um, "A Normalization Method to Utilize Brain waves as Brain-computer Interface Game Control," Journal of Korea Game Society, 2010, Vol.10, pp.115-124.

Cited by

  1. Analysis of Game Immersion using EEG signal for Computer Smart Interface vol.24, pp.6, 2015, https://doi.org/10.5369/JSST.2015.24.6.392
  2. A Development Architecture for Serious Games Using BCI (Brain Computer Interface) Sensors vol.12, pp.11, 2012, https://doi.org/10.3390/s121115671