A study about predictive control based on task performance estimation using information of EEG just before the onset of motion
| Project/Area Number |
23560294
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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 mechanics/Mechanical systems
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| Research Institution | Kansai University |
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Principal Investigator |
SUZUKI Satoshi 関西大学, システム理工学部, 准教授 (50306502)
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| Co-Investigator(Kenkyū-buntansha) |
KOTANI Kentaro 関西大学, システム理工学部, 教授 (80288795)
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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 |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2013: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2012: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2011: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
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| Keywords | 人間工学 / 生体信号処理 / 意図推定 / 予測制御 / 生体信号計測 |
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| Research Abstract |
In an attempt to facilitate the use of biological signals for prediction of accuracy of movement just before the onset of movement, we examined the relationships among MRCP parameters as physiological indices and accuracy of task performance. Additionally, we developed a prototype system to detect MRCP parameters using SVM (Support-vector machine) in real-time and to also predict accuracy just before onset of the motion. Based on this findings, the possibility is considered whether it is possible to predict accuracy just before the movement is executed using MRCPs intended to use as one of the assistive method for BMI.
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Report
(4 results)
Research Products
(2 results)
