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

Conference Paper
Publication Date:
2022
Short description:
Infant upper body 3D kinematics estimated using a commercial RGB-D sensor and a deep neural network tracking processing tool / Balta, D.; Kuo, H. H.; Wang, J.; Porco, I. G.; Schladen, M.; Cereatti, A.; Lum, P. S.; Della Croce, U.. - (2022). [10.1109/MeMeA54994.2022.9856585]
Iris type:
4.1 Contributo in Atti di convegno
List of contributors:
Balta, D.; Kuo, H. H.; Wang, J.; Porco, I. G.; Schladen, M.; Cereatti, A.; Lum, P. S.; Della Croce, U.
Authors of the University:
DELLA CROCE Ugo
PORCO Ilaria Giuseppina
Handle:
https://iris.uniss.it/handle/11388/348779
Book title:
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)
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