29 citations · 88 across the 22 of their papers we have counts for
8 papers · 1 filter
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…
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…
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…
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…
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…