| Project/Area Number |
21700576
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Rehabilitation science/Welfare engineering
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| Research Institution | Japan Advanced Institute of Science and Technology |
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Principal Investigator |
SUEMITSU Atsuo Japan Advanced Institute of Science and Technology, 情報科学研究科, 助教 (20422199)
|
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| Project Period (FY) |
2009 – 2010
|
| Project Status |
Completed (Fiscal Year 2010)
|
| Budget Amount *help |
¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2010: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2009: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
|
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| Keywords | 医療・福祉 / 脳・神経 / 生体機能代行 / 筋電義手 / ニューラルネット |
|---|
| Research Abstract |
In this study, we constructed a motion estimation system for practical myoelectric prosthetic hands based on a hippocampus neural network we have previously proposed. The proposed system can classify six hand motions (wrist flexion, wrist extension, grasping, opening up, wrist supination, and wrist pronation) with an average of about 95% accuracy by using surface electromyogram signals. In addition, it does not require the large number of training data samples, the user to position sensors on optimal locations, and the user to be trained in advance.
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