Presentation 2011-11-25
A BCI Using FSK-Modulated Visual Stimuli
Yosuke KIMURA, Hiroshi HIGASHI, Toshihisa TANAKAI,
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Abstract(in English) A brain-computer interface based on steady-state visual evoked potentials has some issues; the number of available frequencies of visual stimili is insufficient when increasing commands, and commands have different classification accuracies that can decline the usability. We propose a method that defines binary codes with stimuli flickering at two distinct frequencies and assigns those codes to the commands. This method can be regarded as the one that modulates a visual stimulus of a brain-computer interface using frequency-shift keying in the digital communications. In this paper, we conducted online BCI experiments to compare the proposed method with the existing method. Experimental results show that the proposed method achieves a reliable BCI attributed to stable accuracy and even probabilities of inputting commands.
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Keyword(in English) Brain-computer interface / Steady-state visual evoked potentials / Visual stimulus / Frequency-shift keying
Paper # NC2011-80
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Committee NC
Conference Date 2011/11/17(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A BCI Using FSK-Modulated Visual Stimuli
Sub Title (in English)
Keyword(1) Brain-computer interface
Keyword(2) Steady-state visual evoked potentials
Keyword(3) Visual stimulus
Keyword(4) Frequency-shift keying
1st Author's Name Yosuke KIMURA
1st Author's Affiliation Department of Electrical and Electronic Engineering, The Graduate School of Engineering, Tokyo University of Agriculture and Technology()
2nd Author's Name Hiroshi HIGASHI
2nd Author's Affiliation Department of Electrical and Electronic Engineering, The Graduate School of Engineering, Tokyo University of Agriculture and Technology
3rd Author's Name Toshihisa TANAKAI
3rd Author's Affiliation Department of Electrical and Electronic Engineering, The Graduate School of Engineering, Tokyo University of Agriculture and Technology
Date 2011-11-25
Paper # NC2011-80
Volume (vol) vol.111
Number (no) 315
Page pp.pp.-
#Pages 6
Date of Issue