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Brain-Machine Interface (BMI) has emerged as a powerful tool for assisting disabled people and for augmenting human performance. Up so far, no studies have succeeded in the power augmentation for the multi-DOFs robot based on EEG signals, especially for the complex shoulder joint. In this work, we propose an electromyography (EMG) estimation method based on electroencephalography (EEG) signals to...
Brain-Machine Interface (BMI), has been considered as an effective way to help and support the disabled's daily lives and rehabilitation to use their brain activity information instead of their bodies. As an extension, it is also expected to be used for healthy individuals. In our study, we try to estimate the necessary force/torque information for a subject from his/her EEG signals when using an...
This study aims to develop a light and wearable exoskeleton controlled by Electromyography (EMG) signals for upper extremity augmentation to support the elbow and shoulder joints. This exoskeleton has four degrees of freedom, one for elbow joint and three for shoulder joint. The flexion and extension movements of elbow and shoulder joints are actively powered to support the wearer and other two DoFs...
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