Conditional Generative Models for Simulation of EMG During Naturalistic Movements

1 code implementation • 3 Nov 2022 • Shihan Ma, Alexander Kenneth Clarke, Kostiantyn Maksymenko, Samuel Deslauriers-Gauthier, Xinjun Sheng, Xiangyang Zhu, Dario Farina

As a solution to this problem, we propose a transfer learning approach, in which a conditional generative model is trained to mimic the output of an advanced numerical model.

Data Augmentation Transfer Learning