Development of brain-computer interface for input characters in mind
| Project/Area Number |
24500163
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Intelligent informatics
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| Research Institution | Tokyo Institute of Technology |
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Principal Investigator |
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| Co-Investigator(Renkei-kenkyūsha) |
DASALLA Charles SAYO 東京工業大学, 国際部国際事業課, 教育研究支援員 (20602684)
AKAMA Hiroyuki 東京工業大学, 社会理工学研究科, 准教授 (60242301)
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥5,200,000 (Direct Cost: ¥4,000,000、Indirect Cost: ¥1,200,000)
Fiscal Year 2014: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2013: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Fiscal Year 2012: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Keywords | 脳活動信号計測 / デコーディング / ブレイン・コンピュータ・インタフェース / 機能的MRI / 脳波 / 機械学習 / 逆問題 |
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| Outline of Final Research Achievements |
Brain-computer interface (BCI) has been attracted attentions as a communication tool for persons who cannot speak or move their hands to use a computer. To make BCIs more effective and useful, extracting of functional information from brain signals is key technology. In this study, we measured electroencephalography (EEG) signals and functional magnetic resonance imaging data during imagination of Japanese vowels, and performed vowel classification. As a result, the classification accuracy was higher when EEG cortical current signals were estimated from EEG and fMRI and used as the features than when EEG signals themselves were used.
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Report
(4 results)
Research Products
(9 results)
