A physics-informed neural network predicts muscle forces from unlabeled sEMG by embedding the Hill muscle model as a loss, matching supervised baselines on wrist and knee data.
Robust ground reaction force estimation and control of lower-limb prostheses: Theory and simulation,
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Physics-informed Deep Learning for Muscle Force Prediction with Unlabeled sEMG Signals
A physics-informed neural network predicts muscle forces from unlabeled sEMG by embedding the Hill muscle model as a loss, matching supervised baselines on wrist and knee data.