Fig. 6From: Brain–machine interface based on deep learning to control asynchronously a lower-limb robotic exoskeleton: a case-of-studyResults from closed-loop control. Subjects were tasked with traversing a designated pathway, requiring them to engage in specific mental imagery practices. To initiate the gait, participants were instructed to imagine themselves walking. Subsequently, they were required to maintain an idle state to sustain the walking motion. When it came to halting the gait, subjects were instructed to imagine the act of stopping. Metrics represent the successful number of activations and stopsBack to article page