Physics-Informed Deep Learning for Muscle Force Prediction With Unlabeled sEMG Signals
Computational biomechanical analysis plays a pivotal role in understanding and improving human movements and physical functions. Although physics-based modeling methods can interpret the dynamic interaction between the neural drive to muscle dynamics and joint kinematics, they suffer from high compu...
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| Main Authors: | , , , , , |
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| Format: | Book |
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IEEE,
2024-01-01T00:00:00Z.
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