This work introduces a novel DeepFake detection framework based on physiological
measurement. In particular, we consider information related to the heart rate using remote …

In this article, we explore computer vision approaches to detect abnormal head pose during
e-Iearning sessions and we introduce a study on the effects of mobile phone usage during …

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 …

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 …

This chapter describes a DeepFake detection framework based on physiological
measurement. In particular, we consider information related to the heart rate using remote …

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 …

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 collected …

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 …

This work presents the IMPROVE dataset, designed to evaluate the effects of mobile phone
usage on learners during online education. The dataset not only assesses academic …

The aging population has led to a growing number of falls in our society, affecting global
public health worldwide. This paper presents CareFall, an automatic Fall Detection System …