Infant upper body 3D kinematics estimated using a commercial RGB-D sensor and a deep neural network tracking processing tool

Diletta Balta, HsinHung Kuo, Jing Wang, Ilaria G. Porco, Manon Maitland Schladen, Andrea Cereatti, Peter S. Lum, Ugo Della Croce. Infant upper body 3D kinematics estimated using a commercial RGB-D sensor and a deep neural network tracking processing tool. In IEEE International Symposium on Medical Measurements and Applications, MeMeA 2022, Messina, Italy, June 22-24, 2022. pages 1-6, IEEE, 2022. [doi]

@inproceedings{BaltaKWPSCLC22,
  title = {Infant upper body 3D kinematics estimated using a commercial RGB-D sensor and a deep neural network tracking processing tool},
  author = {Diletta Balta and HsinHung Kuo and Jing Wang and Ilaria G. Porco and Manon Maitland Schladen and Andrea Cereatti and Peter S. Lum and Ugo Della Croce},
  year = {2022},
  doi = {10.1109/MeMeA54994.2022.9856585},
  url = {https://doi.org/10.1109/MeMeA54994.2022.9856585},
  researchr = {https://researchr.org/publication/BaltaKWPSCLC22},
  cites = {0},
  citedby = {0},
  pages = {1-6},
  booktitle = {IEEE International Symposium on Medical Measurements and Applications, MeMeA 2022, Messina, Italy, June 22-24, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-8299-8},
}