Lower Limb Movement Recognition Based on a Hybrid Deep Learning Model Using Surface Electromyography
Abstract: In the fields of intelligent rehabilitation and human-computer interaction, the accurate recognition of lower limb motion patterns is crucial for achieving efficient assistance and precise ...
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Abstract: The application of online reinforcement learning (RL) in lower limb exoskeleton control has the potential to improve gait rehabilitation for individuals with impaired mobility. However, ...
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