Characterization of Infants’ General Movements Using a Commercial RGB-Depth Sensor and a Deep Neural Network Tracking Processing Tool: An Exploratory Study

Characterization of Infants’ General Movements Using a Commercial RGB-Depth Sensor and a Deep Neural Network Tracking Processing Tool: An Exploratory Study

Cerebral palsy, the most common childhood neuromotor disorder, is often diagnosed through visual assessment of general movements (GM) in infancy. This skill requires extensive training and is thus difficult to implement on a large scale. Automated analysis of GM performed using low-cost instrumentat...

Full description

Bibliographic Details
Main Authors: Diletta Balta, HsinHung Kuo, Jing Wang, Ilaria Giuseppina Porco, Olga Morozova, Manon Maitland Schladen, Andrea Cereatti, Peter Stanley Lum, Ugo Della Croce
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Sensors
Subjects:
markerless
RGB-D
general movements
infant movement analysis
movement disorders
Online Access:https://www.mdpi.com/1424-8220/22/19/7426

Internet

https://www.mdpi.com/1424-8220/22/19/7426

Similar Items