Machine Learning Approaches for 3D Motion Synthesis and Musculoskeletal Dynamics Estimation: A Survey
- DOI
- 10.1109/tvcg.2023.3308753
- Published
- 2024-08
- Container
- IEEE Transactions on Visualization and Computer Graphics
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- 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 = {Iliana Loi and Evangelia I. Zacharaki and Konstantinos Moustakas},
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 - Iliana Loi AU - Evangelia I. Zacharaki AU - Konstantinos Moustakas 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
Loi, I., Zacharaki, E. I., & Moustakas, K. (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
- crossref · retrieved 2026-09-25T23:06:48.131Z