| Presentation | 2012-11-17 Signal processing for Brain computer interface by SSVEP Arao FUNASE, Akitoshi ITAI, Andrzej CICHOCKI, Ichi TAKUMI, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we will show you the results of feature extraction for brain computer interface (BCI) using steady-state visual evoked potential. Our final goal is to develop small and cheap SSVEP-BCI system. To achive our final goal, it is important to focus on EEG signals including environmental noises and analysis mothod. Therefore, we recored EEG signals without shild room and analyze EEG signals by only the discrete Fourier transformation (DFT). In this experiment, we show the subjects lighting flicker stimulis by a red LED. The flicking frequency is 10,15,20,and 25Hz. Results show that the detection ratio is 84%by using a spectrum intensity ratio with unsuper- vised classification while the simple feature using spectrum amplitude performs 72%. It is confirmed that the SSVEP is more enhanced by using spectrum intensity ratio. In order to avoid the false-positive detection due to harmonics, we need to apply a suitable classification technique. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | EEG signal / Steady State Visually Evoked Potentials (SSVEP) / Brain Computer Interface |
| Paper # | MBE2012-59,NC2012-64 |
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| Conference Information | |
| Committee | MBE |
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| Conference Date | 2012/11/9(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | ME and Bio Cybernetics (MBE) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Signal processing for Brain computer interface by SSVEP |
| Sub Title (in English) | |
| Keyword(1) | EEG signal |
| Keyword(2) | Steady State Visually Evoked Potentials (SSVEP) |
| Keyword(3) | Brain Computer Interface |
| 1st Author's Name | Arao FUNASE |
| 1st Author's Affiliation | Graduate school of Engineering, Nagoya Institute of Technology:Brain Science Institute, RIKEN() |
| 2nd Author's Name | Akitoshi ITAI |
| 2nd Author's Affiliation | College of Engineering Chubu University |
| 3rd Author's Name | Andrzej CICHOCKI |
| 3rd Author's Affiliation | Brain Science Institute, RIKEN |
| 4th Author's Name | Ichi TAKUMI |
| 4th Author's Affiliation | Graduate school of Engineering, Nagoya Institute of Technology |
| Date | 2012-11-17 |
| Paper # | MBE2012-59,NC2012-64 |
| Volume (vol) | vol.112 |
| Number (no) | 297 |
| Page | pp.pp.- |
| #Pages | 5 |
| Date of Issue | |