Search Results for author:
Found 5 papers, 0 papers with code
A store-and-forward cloud-based telemonitoring system for automatic assessing dysarthria evolution in neurological diseases from video-recording analysis
This architecture, called facial landmark Mask RCNN, aims at locating facial landmarks as a prior for assessing the orofacial functions related to speech and examining dysarthria evolution in neurological diseases.
Deep learning-based approaches for human motion decoding in smart walkers for rehabilitation
Promising results were attained for early action detection as a human motion decoding strategy, with enhancements in the focus of the proposed architectures.
Real-Time Human Pose Estimation on a Smart Walker using Convolutional Neural Networks
We present a novel approach to patient monitoring and data-driven human-in-the-loop control in the context of smart walkers.
Preterm infants' pose estimation with spatio-temporal features
Assessment of the proposed framework is performed through a comprehensive study with sixteen depth videos acquired in the actual clinical practice from sixteen preterm infants (the babyPose dataset).
Preterm infants' limb-pose estimation from depth images using convolutional neural networks
Preterm infants' limb-pose estimation is a crucial but challenging task, which may improve patients' care and facilitate clinicians in infant's movements monitoring.
