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.
Towards improving the quality of electrophysio- logical signal recordings by using microneedle electrode arrays,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2024 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
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.