The spatial real and virtual sound stimuli optimization for the auditory BCI

2012 Conference Handbook - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2012

Volumn , Issue , 2012, Pages

  Nishikawa, Nozomu ^a   Matsumoto, Yoshihiro ^a   Makino, Shoji ^a   Rutkowski, Tomasz M ^a,b  

^a UNIVERSITY OF TSUKUBA   (Japan)

^b RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

AMPLITUDE PANNING; BRAIN RESPONSE; BRAIN WAVE; EXPERIMENTAL ENVIRONMENT; SOUND IMAGE; SOUND SOURCE; SPATIAL SOUND; SURROUND SOUND; VIRTUAL SOUND; VIRTUAL SOUND IMAGES;

ACOUSTIC GENERATORS; DATA PROCESSING;

BRAIN COMPUTER INTERFACE;

EID: 84874432425     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. J. Wolpaw and E. W. Wolpaw, eds., Brain-Computer Interfaces: Principles and Practice. Oxford University Press, 2012.
2. N. Nishikawa, "Spatial sound stimuli optimization for auditory localization based brain machine interface," bachelor degree thesis, School of Informatics, University of Tsukuba, February 2012.
3. E. Niedermeyer and F. L. Da Silva, eds., Electroencephalography: Basic Principles, Clinical Applications, and Related Fields. Lippincott Williams & Wilkins, 5 ed., 2004.
4. T. M. Rutkowski, "Auditory brain-computer/machine interface paradigms design," in Haptic and Audio Interaction Design (E. Cooper, V. Kryssanov, H. Ogawa, and S. Brewster, eds.), vol. 6851 of Lecture Notes in Computer Science, pp. 110-119, Springer Berlin / Heidelberg, 2011.
5. Z. Cai, H. Terasawa, S. Makino, T. Yamada, and T. M. Rutkowski, "Sound timbre and spatial location as informative cues in auditory BCI - brain evoked potential enhancement and involuntary eye movements artifacts suppression approach," in Proceedings of the Third APSIPA Annual Summit and Conference (APSIPA ASC 2011), (Xi'an, China), p. paper 241 (6 pages), APSIPA, October 18-21, 2011.
6. M. Schreuder, B. Blankertz, and M. Tangermann, "A new auditory multi-class brain-computer interface paradigm: Spatial hearing as an informative cue," PLoS ONE, vol. 5, p. e9813, 04 2010.
7. http://cycling74.com/, "Max 6," 2012.
8. V. Pulkki, "Virtual sound source positioning using vector base amplitude panning," Journal of Audio Engineering Society, vol. 45, no. 6, pp. 456-466, 1997.
9. T. M. Rutkowski, A. Cichocki, T. Tanaka, D. P. Mandic, J. Cao, and A. L. Ralescu, "Multichannel spectral pattern separation - an EEG processing application," in Proceedings of the 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP2009), (Taipei, Taiwan), pp. 373-376, IEEE Press, 2009.
10. M. K. I. Molla, T. Tanaka, and T. M. Rutkowski, "Multivariate EMD based approach to EOG artifacts separation from EEG," in Proceedings of the 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP2012), (Kyoto, Japan), pp. 653-656, IEEE, March 25-30, 2012.
11. M. K. I. Molla, M. R. Islam, T. Tanaka, and T. M. Rutkowski, "Artifact suppression from EEG signals using data adaptive time domain filtering," Neurocomputing, vol. 97, pp. 297-308, November 15, 2012.
12. N. Huang, Z. Shen, S. Long, M. Wu, H. Shih, Q. Zheng, N.-C. Yen, C. Tung, and H. Liu, "The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis," Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 454, pp. 903-995, March 1998.
13. N. Rehman and D. P. Mandic, "Multivariate empirical mode decomposition," Proceedings of the Royal Society A: Mathematical, Physical and Engineering Science, vol. 466, no. 2117, pp. 1291-1302, 2010.
14. N. Rehman and D. P. Mandic, "Filter bank property of multivariate empirical mode decomposition," IEEE Transactions on Signal Processing, vol. 59, no. 5, pp. 2421-2426, 2011.