2011 Fiscal Year Final Research Report
Development of an ECoG Controlled Electric Wheelchair for Assisting paralyzed people.
Project/Area Number |
22700574
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Research Category |
Grant-in-Aid for Young Scientists (B)
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Allocation Type | Single-year Grants |
Research Field |
Rehabilitation science/Welfare engineering
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Research Institution | Osaka University |
Principal Investigator |
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Project Period (FY) |
2010 – 2011
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Keywords | ブレイン・マシン・インターフェース / 福祉ロボティクス |
Research Abstract |
This research aims at developing an ECoG-based Brain Machine Interface(BMI) assist device. As results, we have developed the electric wheelchair that is controlled with human ECoG(Electro-Corti-Graphic) signals : the control algorithm consists of human intention classification(i. e., 4 motions-going forward, going backward, turning left, turning right) and razor-range-finder based autonomous obstacle avoidance. We have also developed the 300 speller system that point out objects in 3D space, and developed a robotic hand and arm. With those combinations, we have constructed an upper-limb assist device.
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