no code implementations • 29 May 2024 • Miguel A. Ferrer, Abhijit Das, Moises Diaz, Aythami Morales, Cristina Carmona-Duarte, Umapada Pal
Script identification plays a vital role in applications that involve handwriting and document analysis within a multi-script and multi-lingual environment.
no code implementations • 27 May 2024 • Tiziana D'Alessandro, Cristina Carmona-Duarte, Claudio De Stefano, Moises Diaz, Miguel A. Ferrer, Francesco Fontanella
The Sigma-lognormal model is conceived for movement analysis and can also be applied to handwriting.
no code implementations • 24 May 2024 • Shahid Ismail, Moises Diaz, Cristina Carmona-Duarte, Jose Manuel Vilar, Miguel A. Ferrer
Aside from the public sharing of the dataset, we have also shared a machine-learning technique which classifies the caws in healthy and lame by using the raw sensory data.
no code implementations • 7 May 2024 • Alejandro Garcia-Sosa, Jose J. Quintana-Hernandez, Miguel A. Ferrer Ballester, Cristina Carmona-Duarte
This study investigates the feasibility of utilizing robot-collected data to train classification systems traditionally trained with human-collected data.
no code implementations • 30 Jan 2024 • Miguel A. Ferrer, Sukalpa Chanda, Moises Diaz, Chayan Kr. Banerjee, Anirban Majumdar, Cristina Carmona-Duarte, Parikshit Acharya, Umapada Pal
This paper aims to adapt this scheme for the generation of synthetic signatures in two Indic scripts, Bengali (Bangla), and Devanagari (Hindi).
no code implementations • 29 Jan 2024 • Miguel A. Ferrer, Moises Diaz, Cristina Carmona-Duarte, Jose J. Quintana Hernandez, Rejean Plamondon
Addressing the usual cases involving the development of artificial individuals and duplicated samples, this paper contributes to the synthesis of: (1) the trajectory and velocity of entirely 3D new signatures; (2) kinematic information when only the 3D trajectory of the signature is known, and (3) duplicate samples of 3D real signatures.
no code implementations • 29 Jan 2024 • Miguel A. Ferrer, Moises Diaz, Jose J. Quintana, Cristina Carmona-Duarte
It is constructed mainly as a temporal overlap of curves between virtual target points.
no code implementations • 27 Jan 2024 • Miguel A. Ferrer, Moises Diaz, Cristina Carmona-Duarte, Rejean Plamondon
The first one, influenced by the motor equivalence model, separately derives an initial action plan defined by a set of virtual points and angles from the trajectory and a sequence of lognormals from the velocity.
no code implementations • 27 Jan 2024 • Cristina Carmona-Duarte, Miguel A. Ferrer, Antonio Parziale, Angelo Marcelli
New methods for generating synthetic handwriting images for biometric applications have recently been developed.
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 • 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.