Presentation | 2013-11-22 Classification of EEG Steady-State Visual Evoked Potential Using Stationary Subspace Analysis Tomoki SHIRATORI, Hironao NAMBA, Takashi MATSUMOTO, Atsushi ISHIYAMA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We attempted to use signal separation algorithm Stationary Subspace Analysis (SSA) for classification of EEG steady-state visual evoked potential (SSVEP). EEG signals were subjected to Fast Fourier Transform (FFT) to extract features. We used Support Vector Machine (SVM) for classification. We compared accuracy rates of the proposed method with a baseline method where no separation algorithm was used. Of the 12 subjects, 11 showed classification accuracy improvements with the proposed method against the baseline method. The average classification rate improved from 91.4% to 96.2%. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Brain-Computer Interface (BCI) / EEG / Steady-State Visual Evoked potential(SSVEP) / Stationary Subspace Analysis (SSA) / Support Vector Machine(SVM) |
Paper # | NC2013-48 |
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Committee | NC |
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Conference Date | 2013/11/15(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Classification of EEG Steady-State Visual Evoked Potential Using Stationary Subspace Analysis |
Sub Title (in English) | |
Keyword(1) | Brain-Computer Interface (BCI) |
Keyword(2) | EEG |
Keyword(3) | Steady-State Visual Evoked potential(SSVEP) |
Keyword(4) | Stationary Subspace Analysis (SSA) |
Keyword(5) | Support Vector Machine(SVM) |
1st Author's Name | Tomoki SHIRATORI |
1st Author's Affiliation | Faculty of Advanced Science and Engineering, Waseda University() |
2nd Author's Name | Hironao NAMBA |
2nd Author's Affiliation | / / |
3rd Author's Name | Takashi MATSUMOTO |
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4th Author's Name | Atsushi ISHIYAMA |
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Date | 2013-11-22 |
Paper # | NC2013-48 |
Volume (vol) | vol.113 |
Number (no) | 315 |
Page | pp.pp.- |
#Pages | 4 |
Date of Issue |