Deep generative models with data augmentation to learn robust representations of movement intention for powered leg prostheses
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Intent recognition is a data-driven alternative to expert-crafted rules for triggering transitions between pre-programmed activity modes of a powered leg prosthesis. Movement-related signals from prosthesis sensors detected prior to movement completion are use... ...
