Deep Learning (DL), a successful promising approach for discriminative and generative
tasks, has recently proved its high potential in 2D medical imaging analysis; however …

Brain–computer interface (BCI) technology has the potential to positively contribute to the
educational learning environment, which faces many challenges and shortcomings …

In this paper, we designed from scratch, realized, and characterized a six-channel EEG
wearable headband for the measurement of stress-related brain activity during driving. The …

Objective. Confusion is the primary epistemic emotion in the learning process, influencing
students' engagement and whether they become frustrated or bored. However, research on …

This work used a low-cost wireless electroencephalography (EEG) headset to quantify the
human response to different cognitive stress states on a single-trial basis. We used a Stroop …

BACKGROUND Commercially-made low-cost electroencephalography (EEG) devices have
become increasingly available over the last decade. One of these devices, Emotiv EPOC, is …

Distance learning has dramatically increased in recent years because of advanced
technology. In addition, numerous universities had to offer courses in online mode in 2020 …

Traditional cloud computing of raw Electroencephalogram (EEG) data, particularly for
continuous monitoring use-cases, consumes precious network resources and contributes to …

the purpose of this study is to create an artificial neural network (ANN) that can classify a
person's level of confusion using Electroencephalography (EEG) data, more specifically …

The rapid advancement in information and communication technology has made e‐learning
an alternative learning method for many learners. In the last few years, a huge number of …