| Project/Area Number |
23500151
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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 |
Media informatics/Database
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| Research Institution | Kyushu Institute of Technology |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
INOUE Katsuhiro 九州工業大学, 大学院・情報工学研究院, 教授 (00150516)
MAEDA Matoko 九州工業大学, 大学院・情報工学研究院, 助教 (00274556)
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| Project Period (FY) |
2011 – 2013
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥5,200,000 (Direct Cost: ¥4,000,000、Indirect Cost: ¥1,200,000)
Fiscal Year 2013: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2012: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2011: ¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
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| Keywords | サイレントスピーチ / BCI / 脳波 / BP / ICA / ECDL / Broca野 / HMM / Kalman filter / 運動準備電位 / 運動前野 / confusion matrix / ＢＣＩ |
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| Research Abstract |
A new silent speech BCI was proposed using both EEGs scalp-recorded and speech signals measured during overtly and covertly speaking "janken" and "season" in Japanese. The framework consists of two phases. The first phase specifies a Kalman filter (KF) using both spectrograms of the speech signals and independent components of the EEGs recorded during the actual speech task. In case of the "season" task, speech signals were transformed into vowel and/or consonant sequences, and these relations were learned by HMM. The second one predicts spectrograms for the silent "janken" and "season" by the KF with the EEGs during the silent speech tasks. For the silent "season", the predicted spectrograms were inputted to the HMM. The present results demonstrate that when using the Kalman filter with the ICs whose dipole solutions are localized to mainly the Broca's area, the silent "jankens" are all correctly predicted for ten healthy subjects, and the "spring"- and "summer"-HMMs worked well.
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Report
(4 results)
Research Products
(62 results)
