Single-view depth point clouds processed by PointNet with surface normals classify objects into four grasp types with about 85% average accuracy.
The role of feed-forward and feedback processes for closed-loop prosthesis control,
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Grasp Type Estimation for Myoelectric Prostheses using Point Cloud Feature Learning
Single-view depth point clouds processed by PointNet with surface normals classify objects into four grasp types with about 85% average accuracy.