Machine Learning Approaches for 3D Motion Synthesis and Musculoskeletal Dynamics Estimation : A Survey
The inference of 3D motion and dynamics of the human musculoskeletal system has traditionally been solved using physics-based methods that exploit physical parameters to provide realistic simulations. Yet, such methods suffer from computational complexity and reduced stability, hindering their use i...
| Publié dans: | IEEE transactions on visualization and computer graphics. - 1996. - 30(2024), 8 vom: 25. Aug., Seite 5810-5829 |
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| Auteur principal: | |
| Autres auteurs: | , |
| Format: | Article en ligne |
| Langue: | English |
| Publié: |
2024
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| Accès à la collection: | IEEE transactions on visualization and computer graphics |
| Sujets: | Journal Article Review Research Support, Non-U.S. Gov't |
| Accès en ligne |
Volltext |