Determining grasp selection from arm trajectories via deep learning to enable functional hand movement in tetraplegia
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Background: Cervical spinal cord injury severely affects grasping ability of its survivors. Fortunately, many individuals with tetraplegia retain residual arm movements that allow them to reach for objects. We propose a wearable ... ...
