Construction and Application of Tensor Joint Diagonalization Principle for Brain Interfacing
| Project/Area Number |
24360146
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Partial Multi-year Fund |
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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, 工学(系)研究科(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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| 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 |
¥18,980,000 (Direct Cost: ¥14,600,000、Indirect Cost: ¥4,380,000)
Fiscal Year 2014: ¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2013: ¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2012: ¥10,270,000 (Direct Cost: ¥7,900,000、Indirect Cost: ¥2,370,000)
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| Keywords | 脳 / 脳信号処理 / BCI / BMI / 信号処理 / 脳波計測 / インタフェース |
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| Outline of Final Research Achievements |
Recoding electric levels with electrodes on the scalp enables us to read activities inside the brain. However, the signal recorded in this way may include high-level noise and out-of-interest components. Thus, by describing the recorded data by a so-called tensor, we established an automatic method for eliminating undesirable data and/or selecting necessary data. By using this method, we could approach to practical implementation of brain-machine interfacing that can connect the brain and the external world.
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Report
(4 results)
Research Products
(10 results)
