A GAN discriminator trained on CNN features improves rejection of unknown gestures in EMG control, but only within the same subject, and the threshold is tuned on real unknown samples.
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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Robustness-enhanced Myoelectric Control with GAN-based Open-set Recognition
A GAN discriminator trained on CNN features improves rejection of unknown gestures in EMG control, but only within the same subject, and the threshold is tuned on real unknown samples.