Development of Power Assistance Technology with Wearable Multiple DOFs Exoskeleton using EEG Signals

2017 Fiscal Year Final Research Report

• Project/Area Number: 15K00362
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Intelligent robotics
• Research Institution: Maebashi Institute of Technology
• Principal Investigator: Zhu Chi 前橋工科大学, 工学部, 教授 (20345482)
• Project Period (FY): 2015-04-01 – 2018-03-31
• Keywords: BMI / 外骨格ロボット / パワーアシスト

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.

Free Research Field

ロボット工学