| Presentation | 2011-06-24 Brain-computer interface based on steady-state visually evoked potentials : Fundamental study on classification of attended stimulus based on amplitude change Daisuke IZUOKA, Teruyoshi SASAYAMA, Hirokazu KAWAGUCHI, Tetsuo KOBAYASHI, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In BCI with EEGs, it is important to extract features precisely using signal processing techniques. In this study, we focused on a BCI based on SSVEPs (steady-state visually evoked potentials) and investigated the method to analyze SSVEPs and examined classification accuracy when subjects focused on one of two visual stimuli flickering at different frequencies. Most of previous studies performed on this kind of BCI assume that subjects continued to attend on stimuli and do not consider the effects on attention by fatigue. Here, we performed the feature extraction in the short time period. After applied band pass filter tuned at narrowband stimulus frequency for measured EEGs, we separated signals and noises by using principal component analysis and independent component analysis. Subsequently, we extracted features by applying common spatial pattern obtained to amplitude in each short analysis period of the ingredient corresponding to signals. Finally, the attended stimulus was determined by classifying the features with support vector machine. A classification accuracy rate in all subjects was about 70%. This demonstrates the feasibility of the proposal method as a BCI. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | BCI / EEG / SSVEP / PCA / ICA / SVM |
| Paper # | NC2011-10 |
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| Committee | NC |
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| Conference Date | 2011/6/16(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (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) | Brain-computer interface based on steady-state visually evoked potentials : Fundamental study on classification of attended stimulus based on amplitude change |
| Sub Title (in English) | |
| Keyword(1) | BCI |
| Keyword(2) | EEG |
| Keyword(3) | SSVEP |
| Keyword(4) | PCA |
| Keyword(5) | ICA |
| Keyword(6) | SVM |
| 1st Author's Name | Daisuke IZUOKA |
| 1st Author's Affiliation | Graduate School of Engineering, Kyoto University() |
| 2nd Author's Name | Teruyoshi SASAYAMA |
| 2nd Author's Affiliation | Graduate School of Engineering, Kyoto University:Japan Society for the Promotion of Science |
| 3rd Author's Name | Hirokazu KAWAGUCHI |
| 3rd Author's Affiliation | Graduate School of Engineering, Kyoto University |
| 4th Author's Name | Tetsuo KOBAYASHI |
| 4th Author's Affiliation | Graduate School of Engineering, Kyoto University |
| Date | 2011-06-24 |
| Paper # | NC2011-10 |
| Volume (vol) | vol.111 |
| Number (no) | 96 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |