Work

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

Year: 2022

Type: conference-paper

Source: IEEE International Symposium on Medical Measurements and Applications (MeMeA)

DOI: 10.1109/memea54994.2022.9856585

Authors: Diletta Balta, HsinHung Kuo, Jing Wang, Ilaria G. Porco, Manon Schladen, Andrea Cereatti, Peter S. Lum, Ugo Della Croce

Institutions: Politecnico di Torino, Catholic University of America, University of Sassari

Language: English

Topic: Human Pose and Action Recognition

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: National Institute on Disability, Independent Living, and Rehabilitation Research

Award: G4320459974

OpenAlex ID: W4292874216

FWCI: 0.181

Cites: 24

Cited by: 2

Related to: 10