71 citations · 109 across the 3 of their papers we have counts for
3 papers
Real-Time Human Pose Estimation on a Smart Walker using Convolutional Neural Networks
Manuel Palermo, Sara Moccia, Lucia Migliorelli +2
Rehabilitation is important to improve quality of life for mobility-impaired patients. Smart walkers are a commonly used solution that should embed automatic and objective tools fo…
Preterm infants' pose estimation with spatio-temporal features
Sara Moccia, Lucia Migliorelli, Virgilio Carnielli +1
Objective: Preterm infants' limb monitoring in neonatal intensive care units (NICUs) is of primary importance for assessing infants' health status and motor/cognitive development.…
Preterm infants' limb-pose estimation from depth images using convolutional neural networks
Sara Moccia, Lucia Migliorelli, Rocco Pietrini +1
Preterm infants' limb-pose estimation is a crucial but challenging task, which may improve patients' care and facilitate clinicians in infant's movements monitoring. Work in the li…