Development of an adaptive BMI for cooperated predictive control by brain-contact
| Project/Area Number |
21240013
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| Research Category |
Grant-in-Aid for Scientific Research (A)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Intelligent informatics
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| Research Institution | Nagaoka University of Technology |
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Principal Investigator |
WADA Yasuhiro 長岡技術科学大学, 工学部, 教授 (70293248)
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| Co-Investigator(Kenkyū-buntansha) |
OHISHI Kiyoshi 長岡技術科学大学, 工学部, 教授 (40185187)
KOIKE Yasuharu 東京工業大学, ソリューション研究機構, 教授 (10302978)
ONO Hiroshi 長岡技術科学大学, 工学部, 教授 (10283029)
TSUBONE Tadashi 長岡技術科学大学, 工学部, 准教授 (50334694)
MATSUZAKI Shuichi 長岡技術科学大学, 工学部, 助教 (60455706)
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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 |
¥47,450,000 (Direct Cost: ¥36,500,000、Indirect Cost: ¥10,950,000)
Fiscal Year 2011: ¥12,220,000 (Direct Cost: ¥9,400,000、Indirect Cost: ¥2,820,000)
Fiscal Year 2010: ¥13,390,000 (Direct Cost: ¥10,300,000、Indirect Cost: ¥3,090,000)
Fiscal Year 2009: ¥21,840,000 (Direct Cost: ¥16,800,000、Indirect Cost: ¥5,040,000)
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| Keywords | 知能情報処理 / ブレイン・マシン・インターフェース / BMI / 力方向 / 適応 / 強化学習 / 予測協調制御 |
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| Research Abstract |
Brain-machine interface(BMI) has been as a communication tool of a person who lost body function. Extracting of functional information from brain signals is important for controlling a BMI in a realistic and natural way. In this study, we measured functional near-infrared spectroscopy(fNIRS) signals during isometric arm movements in four directions, and performed direction classification. As a result, the classification accuracy was highest when both of OxyHb and DeoxyHb was used as the features and both of time and channel was selected. The peak time of the signal, the task ends, and after a few seconds of task ends, was particularly well chosen.
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Report
(4 results)
Research Products
(37 results)
