To design and implement an electromyography (EMG)-based controller for a hand robotic assistive device, which is able to classify the user's motion intention before the effective kinematic movement execution.

Artificial neural network EMG classifier for functional hand grasp movements prediction

GANDOLLA, MARTA;FERRANTE, SIMONA;FERRIGNO, GIANCARLO;PEDROCCHI, ALESSANDRA LAURA GIULIA
2017-01-01

Abstract

To design and implement an electromyography (EMG)-based controller for a hand robotic assistive device, which is able to classify the user's motion intention before the effective kinematic movement execution.
2017
EMG controller; Electromyography (EMG); artificial neural networks; hand rehabilitation; movement prediction
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1002412
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