Single-view depth point clouds processed by PointNet with surface normals classify objects into four grasp types with about 85% average accuracy.
Deep learning with convo- lutional neural networks applied to electromyography data: A resource for the classification of movements for prosthetic hands,
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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.