64 citations · 140 across the 7 of their papers we have counts for
7 papers
Easing Automatic Neurorehabilitation via Classification and Smoothness Analysis
Asma Bensalah, Alicia Fornés, Cristina Carmona-Duarte +1
Assessing the quality of movements for post-stroke patients during the rehabilitation phase is vital given that there is no standard stroke rehabilitation plan for all the patients…
The RPM3D project: 3D Kinematics for Remote Patient Monitoring
Alicia Fornés, Asma Bensalah, Cristina Carmona-Duarte +9
This project explores the feasibility of remote patient monitoring based on the analysis of 3D movements captured with smartwatches. We base our analysis on the Kinematic Theory of…
Towards Stroke Patients' Upper-limb Automatic Motor Assessment Using Smartwatches
Asma Bensalah, Jialuo Chen, Alicia Fornés +3
Assessing the physical condition in rehabilitation scenarios is a challenging problem, since it involves Human Activity Recognition (HAR) and kinematic analysis methods. In additio…
Content and Style Aware Generation of Text-line Images for Handwriting Recognition
Lei Kang, Pau Riba, Marçal Rusiñol +2
Handwritten Text Recognition has achieved an impressive performance in public benchmarks. However, due to the high inter- and intra-class variability between handwriting styles, su…
Unsupervised Adaptation for Synthetic-to-Real Handwritten Word Recognition
Lei Kang, Marçal Rusiñol, Alicia Fornés +2
Handwritten Text Recognition (HTR) is still a challenging problem because it must deal with two important difficulties: the variability among writing styles, and the scarcity of la…
Hierarchical stochastic graphlet embedding for graph-based pattern recognition
Anjan Dutta, Pau Riba, Josep Lladós +1
Despite being very successful within the pattern recognition and machine learning community, graph-based methods are often unusable because of the lack of mathematical operations d…
Joint Recognition of Handwritten Text and Named Entities with a Neural End-to-end Model
Manuel Carbonell, Mauricio Villegas, Alicia Fornés +1
When extracting information from handwritten documents, text transcription and named entity recognition are usually faced as separate subsequent tasks. This has the disadvantage th…