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...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Book |
Published: |
IEEE,
2024-01-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Internet
Connect to this object online.3rd Floor Main Library
Call Number: |
A1234.567 |
---|---|
Copy 1 | Available |