Research of BCI system based on neural networks with high generalization and multi-channel orthogonal components
| Project/Area Number |
21560393
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Communication/Network engineering
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| Research Institution | Kanazawa University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
HIRANO Akihiro 金沢大学, 電子情報学系, 講師 (70303261)
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| Project Period (FY) |
2009 – 2011
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| Project Status |
Completed (Fiscal Year 2011)
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| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2011: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2010: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2009: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
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| Keywords | BCI / ニューラルネットワーク / 脳波 / メンタルタスク / 直交成分 / ブレインコンピュータインタフェイス / フーリエ変換 / 部分空間フィルタ / 直交化 / 周波数分解能 / 自己組織形写像 / 誤差訂正符号 / 分類 / 自己回帰モデル |
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| Research Abstract |
Brain Computer Interface(BCI) system has been developed. A method to emphasize features of the brain waves has been proposed. The orthogonalized components and parallel multi-layer neural networks are used to classify themental tasks. These results are averaged to obtain the final result. The high performance for mental task classification has been obtained. Another method, combining the special filter, binary classifiers and error correcting code, has beenproposed, resulting in high performance.
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Report
(4 results)
Research Products
(18 results)
