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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Bibliographic Details
Main Authors: Joseph Berman (Author), I-Chieh Lee (Author), Jie Yin (Author), He Huang (Author)
Format: Book
Published: IEEE, 2024-01-01T00:00:00Z.
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3rd Floor Main Library

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Call Number: A1234.567
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