Presentation | 2014-03-19 Fractal analysis and response of frequency on EEG in visual stimuli for developing BCI Keiji WATARAI, Masahiro Nakagawa, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We propose a classification method for the direction based on flicker stimulus in order to develop a Brain Computer Interface (BCI) system. Because the conventional frequency method may be affected by the influence of noise and background activity on a component of Electroencephalogram: EEG, so there might be difficult to predict how the wheelchair user move. We conducted our research using the Fractal Dimension approach focusing on a variation of EEG, complementing a FFT analysis. The proposed method resulted in a classification accuracy rate of 90% from 2 subjects. This result shows the validity of the proposed method for developing BCI. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Brain Computer Interface / Higuchi-method / FFT / Support Vector Machine |
Paper # | HIP2013-99 |
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Committee | HIP |
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Conference Date | 2014/3/10(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Human Information Processing (HIP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Fractal analysis and response of frequency on EEG in visual stimuli for developing BCI |
Sub Title (in English) | |
Keyword(1) | Brain Computer Interface |
Keyword(2) | Higuchi-method |
Keyword(3) | FFT |
Keyword(4) | Support Vector Machine |
1st Author's Name | Keiji WATARAI |
1st Author's Affiliation | Nagaoka University of Technology() |
2nd Author's Name | Masahiro Nakagawa |
2nd Author's Affiliation | Nagaoka University of Technology |
Date | 2014-03-19 |
Paper # | HIP2013-99 |
Volume (vol) | vol.113 |
Number (no) | 501 |
Page | pp.pp.- |
#Pages | 6 |
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