activity
20192026
most citededBB: Biometrics and Behavior for Assessing Remote Education

29 citations · 71 across the 28 of their papers we have counts for

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10 papers · 1 filter

cs.HC2026

Mobile Interaction for Assessing Fatigue, Sleep, and Activity in Neurodegenerative and Chronic Diseases

Julian Fierrez, Alejandro Peña, Aythami Morales +13

Fatigue, sleep, or disturbances in daily activities are common symptoms among patients with neurodegenerative disorders (NDD) and immune-mediated inflammatory diseases (IMID). The…

cs.HC2025

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…

cs.HC2025

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…

cs.HC2024

KVC-onGoing: Keystroke Verification Challenge

Giuseppe Stragapede, Ruben Vera-Rodriguez, Ruben Tolosana +27

This article presents the Keystroke Verification Challenge - onGoing (KVC-onGoing), on which researchers can easily benchmark their systems in a common platform using large-scale p…

cs.HC2024

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…

cs.HC202415 cited

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…