From the 1 of 6 linked papers with an AI index.
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Physics-Informed Diffusion for Biomechanically Plausible 3D Sign Language Generation
Emanuele Colonna, Moises Diaz, Gennaro Vessio +2
The paper presents PIDiffSign, a diffusion-based model that generates 3D sign language motion from spoken language while enforcing anatomical constraints to ensure realistic and bi…
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…
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…
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…