257 citations · 490 across the 10 of their papers we have counts for
11 papers
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…
A Perspective Analysis of Handwritten Signature Technology
Moises Diaz, Miguel A. Ferrer, Donato Impedovo +3
Handwritten signatures are biometric traits at the center of debate in the scientific community. Over the last 40 years, the interest in signature studies has grown steadily, havin…
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…
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…
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…
On handwriting pressure normalization for interoperability of different acquisition stylus
Marcos Faundez-Zanuy, Olga Brotons-Rufes, Carles Paul-Recarens +1
In this paper, we present a pressure characterization and normalization procedure for online handwritten acquisition. Normalization process has been tested in biometric recognition…
Handwriting Biometrics: Applications and Future Trends in e-Security and e-Health
Marcos Faundez-Zanuy, Julian Fierrez, Miguel A. Ferrer +3
Background- This paper summarizes the state-of-the-art and applications based on online handwritting signals with special emphasis on e-security and e-health fields. Methods- In pa…
Human or Machine? It Is Not What You Write, But How You Write It
Luis A. Leiva, Moises Diaz, Miguel A. Ferrer +1
Online fraud often involves identity theft. Since most security measures are weak or can be spoofed, we investigate a more nuanced and less explored avenue: behavioral biometrics v…
Omnis Prædictio: Estimating the Full Spectrum of Human Performance with Stroke Gestures
Luis A. Leiva, Radu-Daniel Vatavu, Daniel Martín-Albo +1
Designing effective, usable, and widely adoptable stroke gesture commands for graphical user interfaces is a challenging task that traditionally involves multiple iterative rounds…
Calligraphic Stylisation Learning with a Physiologically Plausible Model of Movement and Recurrent Neural Networks
Daniel Berio, Memo Akten, Frederic Fol Leymarie +2
We propose a computational framework to learn stylisation patterns from example drawings or writings, and then generate new trajectories that possess similar stylistic qualities. W…