| Project/Area Number |
22800087
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| Research Category |
Grant-in-Aid for Research Activity Start-up
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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 | National Institute of Advanced Industrial Science and Technology |
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Principal Investigator |
YOSHIKAWA Masahiro 独立行政法人産業技術総合研究所, 知能システム研究部門, 産総研特別研究員 (40584511)
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| Project Period (FY) |
2010 – 2011
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| Project Status |
Completed (Fiscal Year 2011)
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| Budget Amount *help |
¥2,938,000 (Direct Cost: ¥2,260,000、Indirect Cost: ¥678,000)
Fiscal Year 2011: ¥1,352,000 (Direct Cost: ¥1,040,000、Indirect Cost: ¥312,000)
Fiscal Year 2010: ¥1,586,000 (Direct Cost: ¥1,220,000、Indirect Cost: ¥366,000)
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| Keywords | 動作認識 / 生体信号 / ヒューマンインタフェース / ハイブリッドセンサ |
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| Research Abstract |
Many hand motion recognition methods using Electromyogram(EMG) signals have been developed. Because most studies used only surface EMG signals from a forearm, available motion-related information was limited. In this research we propose a SVM(Support Vector Machine) based hand motion recognition method using hybrid sensors. The hybrid sensor consists of an EMG sensor and an optical distance sensor, and can measure myoelectric activities and distance between the sensor and the skin surface at the same time. To examine the effectiveness of our method, we performed hand motion recognition experiments with four subjects. Experimental results showed that our method using hybrid sensors can improve motion recognition accuracy compared to when using only EMG signals.
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