Research on Power-Assist Robots based on Hybrid Biological Signals
| Project/Area Number |
23560293
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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 | Kyushu University (2012-2013)
Saga University (2011) |
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Principal Investigator |
KIGUCHI Kazuo 九州大学, 工学(系)研究科(研究院), 教授 (90269548)
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| Co-Investigator(Kenkyū-buntansha) |
HAYASHI Yoshiaki 佐賀大学, 工学系研究科, 助教 (30549134)
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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: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2012: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2011: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
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| Keywords | 知能機械 / バイオロボティクス / 生体信号 |
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| Research Abstract |
In this study, power-assist robots which assist the user' s daily motion or self-rehabilitation motion in accordance with the user' s motion intention in real-time based on hybrid biological signals consist of EMG and EEG signals was studied. The relationship between the human motion and the EMG and EEG was investigated experimentally in this study. Then, methods to estimate user' s motion intention based on both EMG and EEG signals were proposed. The experimental results show the effectiveness of the proposed methods.
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Report
(4 results)
Research Products
(32 results)
