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In this paper, we present a control method that combines Brain-computer interface based on Steady-State Visual Evoked Potentials and traditional force/angle sensors to control a lower-limb rehabilitation exoskeleton. Through visual stimulation experiments, the subjects will produce raw electroencephalogram signals including commands information. After acquiring such information, the control system...
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