A Study on the Walking Recognition Method of Assistance Robot Legs Using EEG and EMG Signals
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This paper is to study the exoskeleton robot for the walking of the elderly and the disabled. We developed andtested an Exoskeletal robot with two axes of freedom for joint motion. The EEG and EMG signals were used tomove the joints of the Exoskeletal robot. By analyzing the EMG signal, the control signal was extracted andapplied to the robot to facilitate the walking operation of the walking assistance robot. In addition, the brain-computerinterface technology is applied to perform the operation of the robot using brain waves, spontaneous electricalactivities recorded on the human scalp. These two signals were fused to study the walking recognition method ofthe supporting robot leg.
Abstract
This paper is to study the exoskeleton robot for the walking of the elderly and the disabled. We developed andtested an Exoskeletal robot with two axes of freedom for joint motion. The EEG and EMG signals were used tomove the joints of the Exoskeletal robot. By analyzing the EMG signal, the control signal was extracted andapplied to the robot to facilitate the walking operation of the walking assistance robot. In addition, the brain-computerinterface technology is applied to perform the operation of the robot using brain waves, spontaneous electricalactivities recorded on the human scalp. These two signals were fused to study the walking recognition method ofthe supporting robot leg.
참고문헌 (4)
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- Ndre Ferreira, "Human-machine interfaces based on EMG and EEG applied to robotic systems", Journal of NeuroEngineering and Rehabilitation (2008)[DOI]