Machine Learning Approaches for 3D Motion Synthesis and Musculoskeletal Dynamics Estimation: A Survey.
- DOI
- 10.1109/tvcg.2023.3308753
- Published
- 2024 Aug
- Container
- IEEE transactions on visualization and computer graphics
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tvcg.2023.3308753,
title = {Machine Learning Approaches for 3D Motion Synthesis and Musculoskeletal Dynamics Estimation: A Survey.},
author = {Loi I and Zacharaki EI and Moustakas K},
year = {2024},
journal = {IEEE transactions on visualization and computer graphics},
doi = {10.1109/tvcg.2023.3308753},
url = {https://doi.org/10.1109/tvcg.2023.3308753}
}RIS
TY - JOUR TI - Machine Learning Approaches for 3D Motion Synthesis and Musculoskeletal Dynamics Estimation: A Survey. AU - Loi I AU - Zacharaki EI AU - Moustakas K PY - 2024 JO - IEEE transactions on visualization and computer graphics DO - 10.1109/tvcg.2023.3308753 UR - https://doi.org/10.1109/tvcg.2023.3308753 ER -
APA
I, L., EI, Z., & K, M. (2024). Machine Learning Approaches for 3D Motion Synthesis and Musculoskeletal Dynamics Estimation: A Survey.. IEEE transactions on visualization and computer graphics. https://doi.org/10.1109/tvcg.2023.3308753
Source records
- pubmed · retrieved 2026-11-10T12:39:47.211Z