Deep Augmentation for Electrode Shift Compensation in Transient High-density sEMG: Towards Application in Neurorobotics
T. Sun, J. Libby, J. Rizzo, S. F. Atashzar
This paper introduces deep data augmentation for transient HD-sEMG to improve gesture prediction and robustness against electrode shift in neurorobotics applications.
bioRxiv · Feb 25, 2022 · PreprintBioengineering