Development of Power Assistance Technology with Wearable Multiple DOFs Exoskeleton using EEG Signals
Project/Area Number |
15K00362
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Intelligent robotics
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Research Institution | Maebashi Institute of Technology |
Principal Investigator |
Zhu Chi 前橋工科大学, 工学部, 教授 (20345482)
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Project Period (FY) |
2015-04-01 – 2018-03-31
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Project Status |
Completed (Fiscal Year 2017)
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Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2017: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2015: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
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Keywords | BMI / 外骨格ロボット / パワーアシスト / 脳波 / 多自由度 / ヒューマンロボットインタラクション / 感覚行動システム |
Outline of Final Research Achievements |
In this research, the power assistance technology with wearable multiple DOFs exoskeleton using EEG signals by non-invasive BMI (Brain-Machine Interface) is primarily established. In this technology, when the wearer (operator) of the exoskeleton tries to make motion imagery or really implement the tasks of carrying heavy loads or doing rehabilitation, the wearer’s motion intention is recognized and his/her multidimensional force/torques applied to the wearable multiple DOFs exoskeleton are directly estimated from the EEG signals. In this way, with the recognized motion intention and the estimated force/torques, the power assistance is realized with the wearable exoskeleton.
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Report
(4 results)
Research Products
(38 results)
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[Presentation] Design of a Health Care Platform for the Elderly2016
Author(s)
Cui Jining, Song Peipei, Li Wenyu, HAN SHUN, Li Liang, Liu Zhenqiang, DUAN Feng, Zhu Chi, Soo Yewguan
Organizer
The IEEE International Conference on Robotics and Biomimetics (ROBIO2016)
Place of Presentation
Qingdao, China
Year and Date
2016-12-03
Related Report
Int'l Joint Research
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