Deep learning with convolutional neural networks applied to electromyography data: a resource for the classification of movements for prosthetic hands

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21. CNN-based Controller for Multi-DoF Prosthetic Wrist using sEMG Data during Activities of Daily Living
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31. Hybrid Deep Neural Networks for Sparse Surface EMG-Based Hand Gesture Recognition
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44. Deep Convolution Neural Network to Improve Hand Motion Classification Performance Against Varying Orientation Using Electromyography Signal
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47. Literature survey on machine learning techniques for enhancing accuracy of myoelectric hand gesture recognition in real-world prosthetic hand control
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