2011 Fiscal Year Final Research Report
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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| 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 |
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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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