no code implementations • 8 Dec 2023 • Asma Bensalah, Antonio Parziale, Giuseppe De Gregorio, Angelo Marcelli, Alicia Fornés, Lladós
Lately, more works are directed towards guided data synthetic generation, a generation that uses the domain and data knowledge to generate realistic data that can be useful to train deep learning models.
no code implementations • 9 Dec 2022 • Alicia Fornés, Asma Bensalah, Cristina Carmona-Duarte, Jialuo Chen, Miguel A. Ferrer, Andreas Fischer, Josep Lladós, Cristina Martín, Eloy Opisso, Réjean Plamondon, Anna Scius-Bertrand, Josep Maria Tormos
This project explores the feasibility of remote patient monitoring based on the analysis of 3D movements captured with smartwatches.
no code implementations • 9 Dec 2022 • Asma Bensalah, Jialuo Chen, Alicia Fornés, Cristina Carmona-Duarte, Josep Lladós, Miguel A. Ferrer
Assessing the physical condition in rehabilitation scenarios is a challenging problem, since it involves Human Activity Recognition (HAR) and kinematic analysis methods.
no code implementations • 9 Dec 2022 • Asma Bensalah, Alicia Fornés, Cristina Carmona-Duarte, Josep Lladós
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.
no code implementations • 21 Sep 2022 • Giuseppe De Gregorio, Sanket Biswas, Mohamed Ali Souibgui, Asma Bensalah, Josep Lladós, Alicia Fornés, Angelo Marcelli
Despite recent advances in automatic text recognition, the performance remains moderate when it comes to historical manuscripts.