Noninvasive electroencephalography equipment for assistive, adaptive, and rehabilitative brain–computer interfaces: a systematic literature review
Humans interact with computers through various devices. Such interactions may not require
any physical movement, thus aiding people with severe motor disabilities in communicating …
any physical movement, thus aiding people with severe motor disabilities in communicating …
[HTML][HTML] Aviation and neurophysiology: A systematic review
This paper systematically reviews 20 years of publications (N= 54) on aviation and
neurophysiology. The main goal is to provide an account of neurophysiological changes …
neurophysiology. The main goal is to provide an account of neurophysiological changes …
Positive artificial intelligence in education (P-AIED): A roadmap
The unprecedented global movement of school education to find technological and
intelligent solutions to keep the learning ecosystem working was not enough to recover the …
intelligent solutions to keep the learning ecosystem working was not enough to recover the …
[HTML][HTML] AI Eye-Tracking Technology: A New Era in Managing Cognitive Loads for Online Learners
Eye-tracking technology has emerged as a valuable tool for evaluating cognitive load in
online learning environments. This study investigates the potential of AI-driven consumer …
online learning environments. This study investigates the potential of AI-driven consumer …
Cognitive and affective brain–computer interfaces for improving learning strategies and enhancing student capabilities: A systematic literature review
Brain–computer interface (BCI) technology has the potential to positively contribute to the
educational learning environment, which faces many challenges and shortcomings …
educational learning environment, which faces many challenges and shortcomings …
Electroencephalogram-based cognitive load level classification using wavelet decomposition and support vector machine
Cognitive load level identification is an interesting challenge in the field of brain-computer-
interface. The sole objective of this work is to classify different cognitive load levels from …
interface. The sole objective of this work is to classify different cognitive load levels from …
Towards a personalized learning experience using reinforcement learning
D Shawky, A Badawi - Machine learning paradigms: Theory and …, 2019 - Springer
Cognitive computing has become one of the most promising fields, especially in education,
where building adaptive learning systems that provide different learning paths and material …
where building adaptive learning systems that provide different learning paths and material …
10 years of EPOC: A scoping review of Emotiv's portable EEG device
BACKGROUND Commercially-made low-cost electroencephalography (EEG) devices have
become increasingly available over the last decade. One of these devices, Emotiv EPOC, is …
become increasingly available over the last decade. One of these devices, Emotiv EPOC, is …
Enhancing learning experiences: EEG-based passive BCI system adapts learning speed to cognitive load in real-time, with motivation as catalyst
N Beauchemin, P Charland, A Karran… - Frontiers in Human …, 2024 - frontiersin.org
Computer-based learning has gained popularity in recent years, providing learners greater
flexibility and freedom. However, these learning environments do not consider the learner's …
flexibility and freedom. However, these learning environments do not consider the learner's …
Confusion state induction and EEG-based detection in learning
Confusion, as an affective state, has been proved beneficial for learning, although this
emotion is always mentioned as negative affect. Confusion causes the learner to solve the …
emotion is always mentioned as negative affect. Confusion causes the learner to solve the …