Laurent Fribourg

EMG-Based Torque Prediction for Assistive Exoskeleton Control Using Neural Networks with Bounded Generalization Error

Electromyography (EMG) signals are widely used in assistive exoskeleton control for predicting human joint torque due to their ability to extract muscle activations before movement onset. The standard procedure for learning the EMG-to-torque model involves training the model on a training set of EMG…