122 citations · 273 across the 13 of their papers we have counts for
11 papers · 1 filter
Physics-Informed Diffusion for Biomechanically Plausible 3D Sign Language Generation
Emanuele Colonna, Moises Diaz, Gennaro Vessio +2
Sign language production, which generates continuous 3D skeletal motion from spoken language input, must simultaneously satisfy two constraints: semantic fidelity, so that a deaf v…
Telling Human and Machine Handwriting Apart
Luis A. Leiva, Moises Diaz, Nuwan T. Attygalle +2
Handwriting movements can be leveraged as a unique form of behavioral biometrics, to verify whether a real user is operating a device or application. This task can be framed as a r…
Quasi-Synthetic Riemannian Data Generation for Writer-Independent Offline Signature Verification
Elias N. Zois, Moises Diaz, Salem Said +1
Offline handwritten signature verification remains a challenging task, particularly in writer-independent settings where models must generalize across unseen individuals. Recent de…
A short review on graphonometric evaluation tools in children
Belen Esther Aleman, Moises Diaz, Miguel Angel Ferrer
Handwriting is a complex task that involves the coordination of motor, perceptual and cognitive skills. It is a fundamental skill for the cognitive and academic development of chil…
Graphomotor and Handwriting Disabilities Rating Scale (GHDRS):towards complex and objective assessment
Jiri Mekyska, Katarina Safarova, Tomas Urbanek +10
Graphomotor and handwriting disabilities (GD and HD, respectively) could significantly reduce children's quality of life. Effective remediation depends on proper diagnosis; however…
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…
Dynamically enhanced static handwriting representation for Parkinson's disease detection
Moises Diaz, Miguel Angel Ferrer, Donato Impedovo +2
Computer aided diagnosis systems can provide non-invasive, low-cost tools to support clinicians. These systems have the potential to assist the diagnosis and monitoring of neurodeg…
Explainable offline automatic signature verifier to support forensic handwriting examiners
Moises Diaz, Miguel A. Ferrer, Gennaro Vessio
Signature verification is a critical task in many applications, including forensic science, legal judgments, and financial markets. However, current signature verification systems…
SM-DTW: Stability Modulated Dynamic Time Warping for signature verification
Antonio Parziale, Moises Diaz, Miguel A. Ferrer +1
Building upon findings in computational model of handwriting learning and execution, we introduce the concept of stability to explain the difference between the actual movements pe…
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…