Presentation | 2006-12-05 Classification of cognitive state from EEG spectrum measured during different mental tasks Hideaki TAKAI, Kenta UCHIO, Michiteru KITAZAKI, Shigeki NAKAUCHI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This study aims to classify cognitive states by support vector machines (SVM) from EEG spectrum. Spontaneous brain waves were measured from a scalp of subjects with electrocap who opened their eyes, closed their eyes and performed a mental calculation task. Training data for SVMs consists of spectrum calculated from data selected by applying a sliding time window on the measured EEG. Classification accuracy for open/close states exceeds 90%, for close-eyes/mental calculation task was over 80%, suggesting that EEG spectrum can be used for accurate estimation of cognitive states by SVMs. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | EEG / Brain-Machine Interface / Support Vector Machine / Time-frequency Analysis |
Paper # | NC2006-75 |
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Committee | NC |
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Conference Date | 2006/11/28(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 cognitive state from EEG spectrum measured during different mental tasks |
Sub Title (in English) | |
Keyword(1) | EEG |
Keyword(2) | Brain-Machine Interface |
Keyword(3) | Support Vector Machine |
Keyword(4) | Time-frequency Analysis |
1st Author's Name | Hideaki TAKAI |
1st Author's Affiliation | Toyohashi University of Technology() |
2nd Author's Name | Kenta UCHIO |
2nd Author's Affiliation | Toyohashi University of Technology |
3rd Author's Name | Michiteru KITAZAKI |
3rd Author's Affiliation | Toyohashi University of Technology |
4th Author's Name | Shigeki NAKAUCHI |
4th Author's Affiliation | Toyohashi University of Technology |
Date | 2006-12-05 |
Paper # | NC2006-75 |
Volume (vol) | vol.106 |
Number (no) | 407 |
Page | pp.pp.- |
#Pages | 6 |
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