| Project/Area Number |
21360179
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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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 | Tokyo University of Agriculture and Technology |
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Principal Investigator |
TANAKA Toshihisa 東京農工大学, 大学院・工学研究院, 准教授 (70360584)
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| Co-Investigator(Kenkyū-buntansha) |
CAO Jianting 埼玉工業大学, 工学部, 教授 (20306989)
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| Co-Investigator(Renkei-kenkyūsha) |
RUTKOWSKI Tomasz 筑波大学, システム情報系, 講師 (50415238)
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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 |
¥18,330,000 (Direct Cost: ¥14,100,000、Indirect Cost: ¥4,230,000)
Fiscal Year 2011: ¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
Fiscal Year 2010: ¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
Fiscal Year 2009: ¥11,440,000 (Direct Cost: ¥8,800,000、Indirect Cost: ¥2,640,000)
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| Keywords | 信号処理 / 脳波計測 / インタフェース / ブレイン・コンピュータ・インタフェース / 経験的モード分解 / EEG / 脳工学 / 脳科学 / 時間周波数解析 |
|---|
| Research Abstract |
Brain-computer interfacing is a technology that transmit information in the brain to the outside, has a variety of engineering and medial applications. To realize this technology, we have to establish fundamentals of signal processing for extracting necessary components from the observed electroencephalogram(EEG) and/or for removing unnecessary components. In this KAKENHI project, we paid attention into the empirical mode decomposition(EMD), which is a recently well-known data-driven signal decomposition technique, and we aimed at establishing methodologies that apply this promising technique to signal processing for BCI. As a result of this project, we have succeeded in an accurate separation of electrocardiogram(EOG) components from the observed EEG. Moreover, we have successfully developed a method for extracting necessary components from EEG signals during motor-imagery tasks. Additionally, we have developed and implemented on-line BCI platforms that utilize an Android smartphone and simple robots.
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