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<title>Articles</title>
<link href="https://hdl.handle.net/20.500.12367/1914" rel="alternate"/>
<subtitle/>
<id>https://hdl.handle.net/20.500.12367/1914</id>
<updated>2026-06-06T16:07:41Z</updated>
<dc:date>2026-06-06T16:07:41Z</dc:date>
<entry>
<title>Handwriting-based gender classification using robotic and machine learning models</title>
<link href="https://hdl.handle.net/20.500.12367/3244" rel="alternate"/>
<author>
<name>Aleman, Belen E.</name>
</author>
<author>
<name>Diaz, Moises</name>
</author>
<author>
<name>Ferrer, Miguel A</name>
</author>
<author>
<name>Quintana, Jose J.</name>
</author>
<author>
<name>Faundez-Zanuy, Marcos</name>
</author>
<id>https://hdl.handle.net/20.500.12367/3244</id>
<updated>2026-06-05T14:59:27Z</updated>
<published>2025-01-01T00:00:00Z</published>
<summary type="text">Handwriting-based gender classification using robotic and machine learning models
Aleman, Belen E.; Diaz, Moises; Ferrer, Miguel A; Quintana, Jose J.; Faundez-Zanuy, Marcos
Handwriting analysis provides insights into motor control and cognitive processes, with potential differences arising from biological gender and neurological conditions such as Parkinson’s disease (PD). Investigating these differences can lead to improved understanding of motor and cognitive functions. This study introduces a novel methodology that integrates robotic features to estimate gender from handwriting. Kinematic and dynamic features are estimated by simulating handwriting with a robotic model. Linear predictive coding (LPC) and singular spectrum analysis (SSA) are applied to the kinematic and dynamic sequences. Machine learning algorithms are used to classify handwriting as male or female. Handwriting samples from healthy individuals (BiosecurID database) and PD patients (PaHaW dataset) were analyzed. The proposed method demonstrates state-of-the-art performance in gender classification, revealing significant differences between healthy and unhealthy individuals. [...]
</summary>
<dc:date>2025-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>An agile adaptive biased-randomized discrete-event heuristic for the resource-constrained project scheduling problem</title>
<link href="https://hdl.handle.net/20.500.12367/2904" rel="alternate"/>
<author>
<name>Martin Solano, Xabier Andoni</name>
</author>
<author>
<name>Herrero Antón, Rosa</name>
</author>
<author>
<name>Juan, Angel A.</name>
</author>
<author>
<name>Panadero, Javier</name>
</author>
<id>https://hdl.handle.net/20.500.12367/2904</id>
<updated>2025-04-13T02:01:22Z</updated>
<published>2024-06-01T00:00:00Z</published>
<summary type="text">An agile adaptive biased-randomized discrete-event heuristic for the resource-constrained project scheduling problem
Martin Solano, Xabier Andoni; Herrero Antón, Rosa; Juan, Angel A.; Panadero, Javier
In industries such as aircraft or train manufacturing, large-scale manufacturing companies often manage several complex projects. Each of these projects includes multiple tasks that share a set of limited resources. Typically, these tasks are also subject to time dependencies among them. One frequent goal in these scenarios is to minimize the makespan, or total time required to complete all the tasks within the entire project. Decisions revolve around scheduling these tasks, determining the sequence in which they are processed, and allocating shared resources to optimize efficiency while respecting the time dependencies among tasks. This problem is known in the scientific literature as the Resource-Constrained Project Scheduling Problem (RCPSP). Being an NP-hard problem with time dependencies and resource constraints, several optimization algorithms have already been proposed to tackle the RCPSP. [...]
</summary>
<dc:date>2024-06-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Eye-tracking calibration to control a cobot</title>
<link href="https://hdl.handle.net/20.500.12367/2856" rel="alternate"/>
<author>
<name>Faura Pujol, Anna</name>
</author>
<author>
<name>Faundez-Zanuy, Marcos</name>
</author>
<author>
<name>Moral-Viñals, Aleix</name>
</author>
<author>
<name>López Xarbau, Josep</name>
</author>
<id>https://hdl.handle.net/20.500.12367/2856</id>
<updated>2024-12-13T03:00:43Z</updated>
<published>2023-03-01T00:00:00Z</published>
<summary type="text">Eye-tracking calibration to control a cobot
Faura Pujol, Anna; Faundez-Zanuy, Marcos; Moral-Viñals, Aleix; López Xarbau, Josep
The present study pursues to determine the optimal operation range of a specific screen-based eye-tracker, the Tobii X2-30, regarding the variation of precision and accuracy in measures. Furthermore, a connection setup to operate a collaborative robot (cobot) Omron TM5-700 by means of this eye-tracker will be presented. The possibility to operate a collaborative robot by gaze can be used as a third arm, which allows human beings to do more sophisticated activities, as well as making the manipulation of dangerous or perilous substance easier and safer. When developing new technological tools, we have mainly two options. The first one consists on a specifically designed hardware. [...]
</summary>
<dc:date>2023-03-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Online handwriting, signature and touch dynamics: tasks and potential applications in the field of security and health</title>
<link href="https://hdl.handle.net/20.500.12367/2855" rel="alternate"/>
<author>
<name>Faundez-Zanuy, Marcos</name>
</author>
<author>
<name>Mekyska, Jiri</name>
</author>
<author>
<name>Impedovo, Donato</name>
</author>
<id>https://hdl.handle.net/20.500.12367/2855</id>
<updated>2024-12-05T03:00:27Z</updated>
<published>2021-10-01T00:00:00Z</published>
<summary type="text">Online handwriting, signature and touch dynamics: tasks and potential applications in the field of security and health
Faundez-Zanuy, Marcos; Mekyska, Jiri; Impedovo, Donato
Advantageous property of behavioural signals (e.g. handwriting), in contrast to morphological ones (e.g. iris, fingerprint, hand geometry), is the possibility to ask a user to perform many different tasks. This article summarises recent findings and applications of different handwriting/drawing tasks in the field of security and health. More specifically, it is focused on on- line handwriting and hand-based interaction, i.e. signals that utilise a digitizing device (specific devoted or general-purpose tablet/smartphone) during the realization of the tasks. Such devices permit the acquisition of on-surface dynamics as well as in-air movements in time, thus providing complex and richer information when compared to the conventional “pen and paper” method. [...]
</summary>
<dc:date>2021-10-01T00:00:00Z</dc:date>
</entry>
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