29 citations · 88 across the 22 of their papers we have counts for
24 papers
VideoRun2D Demo: Markerless Body Tracking for Biomechanical Analysis of Running
Luis F. Gomez, Julian Fierrez, Roberto Daza +5
Human pose estimation has advanced significantly due to the development of deep learning models, increased data availability, and improved computing resources. These developments h…
AIriskEval-edu Demo: Auditing of Pedagogical Risks in Educational Explanations
Javier Irigoyen, Roberto Daza, Francisco Jurado +5
We present AIriskEval-edu Demo, a platform that audits the pedagogical quality of instructional explanations and provides explainable audit results. The platform evaluates an expla…
Overview of Risk Assessment and Management for Intelligent Systems under the AI Act and Beyond
Javier Irigoyen, Roberto Daza, Aythami Morales +5
The society and emerging risk-based regulatory frameworks for AI underscore the need for rigorous risk assessment to ensure safe and reliable AI systems. In response to this impera…
AIriskEval-edu: New Dataset for Risk Assessment in AI-mediated K-12 Educational Explanations
Javier Irigoyen, Roberto Daza, Francisco Jurado +5
This work introduces AIriskEval-edu-db2, a new dataset designed to train and evaluate auditors based on LLMs for an explainable pedagogical risk assessment in instructional content…
Evaluating Social Engineering Risks in AI-based Interaction using Biometrics and a Gaming Setup
Roberto Daza, Javier Irigoyen, Ivan Lopez +5
We introduce AIriskEval-gaming, an open platform and dataset to evaluate social engineering risks in LLM-mediated multimodal interaction through controlled games. It supports human…
Leveraging Avatar Fingerprinting: A Multi-Generator Photorealistic Talking-Head Public Database and Benchmark
Laura Pedrouzo-Rodriguez, Luis F. Gomez, Ruben Tolosana +4
Recent advances in photorealistic avatar generation have enabled highly realistic talking-head avatars, raising security concerns regarding identity impersonation in AI-mediated co…
EduEVAL-DB: A Role-Based Dataset for Pedagogical Risk Evaluation in Educational Explanations
Javier Irigoyen, Roberto Daza, Aythami Morales +4
This work introduces EduEVAL-DB, a dataset based on teacher roles designed to support the evaluation and training of automatic pedagogical evaluators and AI tutors for instructiona…
A Multimodal Dataset of Student Oral Presentations with Sensors and Evaluation Data
Alvaro Becerra, Ruth Cobos, Roberto Daza
Oral presentation skills are a critical component of higher education, yet comprehensive datasets capturing real-world student performance across multiple modalities remain scarce.…
AI-based Multimodal Biometrics for Detecting Smartphone Distractions: Application to Online Learning
Alvaro Becerra, Roberto Daza, Ruth Cobos +3
This work investigates the use of multimodal biometrics to detect distractions caused by smartphone use during tasks that require sustained attention, with a focus on computer-base…
MOSAIC-F: A Framework for Enhancing Students' Oral Presentation Skills through Personalized Feedback
Alvaro Becerra, Daniel Andres, Pablo Villegas +2
In this article, we present a novel multimodal feedback framework called MOSAIC-F, an acronym for a data-driven Framework that integrates Multimodal Learning Analytics (MMLA), Obse…
M2LADS Demo: A System for Generating Multimodal Learning Analytics Dashboards
Alvaro Becerra, Roberto Daza, Ruth Cobos +2
We present a demonstration of a web-based system called M2LADS ("System for Generating Multimodal Learning Analytics Dashboards"), designed to integrate, synchronize, visualize, an…
SMARTe-VR: Student Monitoring and Adaptive Response Technology for e-Learning in Virtual Reality
Roberto Daza, Lin Shengkai, Aythami Morales +2
This work introduces SMARTe-VR, a platform for student monitoring in an immersive virtual reality environment designed for online education. SMARTe-VR aims to collect data for adap…
A multimodal dataset for understanding the impact of mobile phones on remote online virtual education
Roberto Daza, Alvaro Becerra, Ruth Cobos +2
This work presents the IMPROVE dataset, a multimodal resource designed to evaluate the effects of mobile phone usage on learners during online education. It includes behavioral, bi…
DeepFace-Attention: Multimodal Face Biometrics for Attention Estimation with Application to e-Learning
Roberto Daza, Luis F. Gomez, Julian Fierrez +3
This work introduces an innovative method for estimating attention levels (cognitive load) using an ensemble of facial analysis techniques applied to webcam videos. Our method is p…
VAAD: Visual Attention Analysis Dashboard applied to e-Learning
Miriam Navarro, Álvaro Becerra, Roberto Daza +3
In this paper, we present an approach in the Multimodal Learning Analytics field. Within this approach, we have developed a tool to visualize and analyze eye movement data collecte…
Biometrics and Behavior Analysis for Detecting Distractions in e-Learning
Álvaro Becerra, Javier Irigoyen, Roberto Daza +4
In this article, we explore computer vision approaches to detect abnormal head pose during e-learning sessions and we introduce a study on the effects of mobile phone usage during…
mEBAL2 Database and Benchmark: Image-based Multispectral Eyeblink Detection
Roberto Daza, Aythami Morales, Julian Fierrez +2
This work introduces a new multispectral database and novel approaches for eyeblink detection in RGB and Near-Infrared (NIR) individual images. Our contributed dataset (mEBAL2, mul…
M2LADS: A System for Generating MultiModal Learning Analytics Dashboards in Open Education
Álvaro Becerra, Roberto Daza, Ruth Cobos +3
In this article, we present a Web-based System called M2LADS, which supports the integration and visualization of multimodal data recorded in learning sessions in a MOOC in the for…
MATT: Multimodal Attention Level Estimation for e-learning Platforms
Roberto Daza, Luis F. Gomez, Aythami Morales +4
This work presents a new multimodal system for remote attention level estimation based on multimodal face analysis. Our multimodal approach uses different parameters and signals ob…
edBB-Demo: Biometrics and Behavior Analysis for Online Educational Platforms
Roberto Daza, Aythami Morales, Ruben Tolosana +3
We present edBB-Demo, a demonstrator of an AI-powered research platform for student monitoring in remote education. The edBB platform aims to study the challenges associated to use…
ALEBk: Feasibility Study of Attention Level Estimation via Blink Detection applied to e-Learning
Roberto Daza, Daniel DeAlcala, Aythami Morales +3
This work presents a feasibility study of remote attention level estimation based on eye blink frequency. We first propose an eye blink detection system based on Convolutional Neur…
mEBAL: A Multimodal Database for Eye Blink Detection and Attention Level Estimation
Roberto Daza, Aythami Morales, Julian Fierrez +1
This work presents mEBAL, a multimodal database for eye blink detection and attention level estimation. The eye blink frequency is related to the cognitive activity and automatic d…
Heart Rate Estimation from Face Videos for Student Assessment: Experiments on edBB
Javier Hernandez-Ortega, Roberto Daza, Aythami Morales +2
In this study we estimate the heart rate from face videos for student assessment. This information could be very valuable to track their status along time and also to estimate othe…
edBB: Biometrics and Behavior for Assessing Remote Education
Javier Hernandez-Ortega, Roberto Daza, Aythami Morales +2
We present a platform for student monitoring in remote education consisting of a collection of sensors and software that capture biometric and behavioral data. We define a collecti…