An Efficient Framework for Personalizing EMG-Driven Musculoskeletal Models Based on Reinforcement Learning
This study aimed to develop a novel framework to quickly personalize electromyography (EMG)-driven musculoskeletal models (MMs) as efferent neural interfaces for upper limb prostheses. Our framework adopts a generic upper-limb MM as a baseline and uses an artificial neural network-based policy to fi...
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Autores principales: | , , , |
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Formato: | Libro |
Publicado: |
IEEE,
2024-01-01T00:00:00Z.
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Acceso en línea: | Connect to this object online. |
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Número de Clasificación: |
A1234.567 |
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Copia 1 | Disponible |