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Proprioception is the sense of self-movement and body position. Because amputees doesn't have proprioception, hand amputees use their visual feedback to determine whether the robotic prosthetic hand actuated the desired finger movements. But the visual feedback differs when the vision of the user is poor or blocked, or when the user is in the dark. Therefore, for control of the robotic prosthetic hand, sensory feedback devices should be developed to deliver information on the behavior of the robotic prosthetic hand without visual feedback. To fulfill this needs, we propose a closed-loop integrated system consisting of the proprioceptive feedback device, electromyography (EMG) classification considering amputees, and robotic prosthetic control using convolution neural network(CNN) classification.

Intention Recognition and Sensory Feedback

Proprioception is the sense of self-movement and body position. Because amputees doesn't have proprioception, hand amputees use their visual feedback to determine whether the robotic prosthetic hand actuated the desired finger movements...

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