most citedTowards Stroke Patients' Upper-limb Automatic Motor Assessment Using Smartwatches

7 citations · 16 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 4 cited

I Can't Believe It's Not Better: In-air Movement For Alzheimer Handwriting Synthetic Generation

Asma Bensalah, Antonio Parziale, Giuseppe De Gregorio +3

During recent years, there here has been a boom in terms of deep learning use for handwriting analysis and recognition. One main application for handwriting analysis is early detec…

eess.SP2022★ 1 cited

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…

cs.HC2022★ 3 cited

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…

cs.HC2022★ 7 cited

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…

cs.CV2022★ 1 cited

A Few Shot Multi-Representation Approach for N-gram Spotting in Historical Manuscripts

Giuseppe De Gregorio, Sanket Biswas, Mohamed Ali Souibgui +4

Despite recent advances in automatic text recognition, the performance remains moderate when it comes to historical manuscripts. This is mainly because of the scarcity of available…