59 citations · 210 across the 14 of their papers we have counts for
14 papers
MDIW-13: a New Multi-Lingual and Multi-Script Database and Benchmark for Script Identification
Miguel A. Ferrer, Abhijit Das, Moises Diaz +3
Script identification plays a vital role in applications that involve handwriting and document analysis within a multi-script and multi-lingual environment. Moreover, it exhibits a…
A Machine Learning Approach to Analyze the Effects of Alzheimer's Disease on Handwriting through Lognormal Features
Tiziana D'Alessandro, Cristina Carmona-Duarte, Claudio De Stefano +3
Alzheimer's disease is one of the most incisive illnesses among the neurodegenerative ones, and it causes a progressive decline in cognitive abilities that, in the worst cases, bec…
CowScreeningDB: A public benchmark dataset for lameness detection in dairy cows
Shahid Ismail, Moises Diaz, Cristina Carmona-Duarte +2
Lameness is one of the costliest pathological problems affecting dairy animals. It is usually assessed by trained veterinary clinicians who observe features such as gait symmetry o…
Exploring the Potential of Robot-Collected Data for Training Gesture Classification Systems
Alejandro Garcia-Sosa, Jose J. Quintana-Hernandez, Miguel A. Ferrer Ballester +1
Sensors and Artificial Intelligence (AI) have revolutionized the analysis of human movement, but the scarcity of specific samples presents a significant challenge in training intel…
iDeLog: Iterative Dual Spatial and Kinematic Extraction of Sigma-Lognormal Parameters
Miguel A. Ferrer, Moises Diaz, Cristina Carmona-Duarte +1
The Kinematic Theory of rapid movements and its associated Sigma-Lognormal model have been extensively used in a large variety of applications. While the physical and biological me…
Ultra-low power sensor devices for monitoring physical activity and respiratory frequency in farmed fish
Juan Antonio Martos-Sitcha, Javier Sosa, Dailos Ramos-Valido +11
Integration of technological solutions aims to improve accuracy, precision and repeatability in farming operations, and biosensor devices are increasingly used for understanding ba…
Static and Dynamic Synthesis of Bengali and Devanagari Signatures
Miguel A. Ferrer, Sukalpa Chanda, Moises Diaz +5
Developing an automatic signature verification system is challenging and demands a large number of training samples. This is why synthetic handwriting generation is an emerging top…
Extending the kinematic theory of rapid movements with new primitives
Miguel A. Ferrer, Moises Diaz, Jose J. Quintana +1
The Kinematic Theory of rapid movements, and its associated Sigma-Lognormal, model 2D spatiotemporal trajectories. It is constructed mainly as a temporal overlap of curves between…
Synthesis of 3D on-air signatures with the Sigma-Lognormal model
Miguel A. Ferrer, Moises Diaz, Cristina Carmona-Duarte +2
Signature synthesis is a computation technique that generates artificial specimens which can support decision making in automatic signature verification. A lot of work has been ded…
Assessment of Autism and ADHD: A Comparative Analysis of Drawing Velocity Profiles and the NEPSY Test
S. Fortea-Sevilla, A. Garcia-Sosa., P. Morales-Almeida +1
The increasing prevalence of Autism Spectrum Disorder and Attention-Deficit/ Hyperactivity Disorder among students highlights the need to improve evaluation and diagnostic techniqu…
Temporal evolution in synthetic handwriting
Cristina Carmona-Duarte, Miguel A. Ferrer, Antonio Parziale +1
New methods for generating synthetic handwriting images for biometric applications have recently been developed. The temporal evolution of handwriting from childhood to adulthood i…
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…