Interface, interaction, and intelligence in generalized brain–computer interfaces
A brain–computer interface (BCI) establishes a direct communication channel between a
brain and an external device. With recent advances in neurotechnology and artificial …
brain and an external device. With recent advances in neurotechnology and artificial …
[HTML][HTML] A blockchain security module for brain-computer interface (BCI) with multimedia life cycle framework (MLCF)
A brain-computer interface (BCI) affords real-time communication, significantly improving the
quality of lifecycle, brain-to-internet (B2I) connectivity, and communication between the brain …
quality of lifecycle, brain-to-internet (B2I) connectivity, and communication between the brain …
Global research on artificial intelligence-enhanced human electroencephalogram analysis
The application of artificial intelligence (AI) technologies in assisting human
electroencephalogram (EEG) analysis has become an active scientific field. This study aims …
electroencephalogram (EEG) analysis has become an active scientific field. This study aims …
[HTML][HTML] Balanced difficulty task finder: an adaptive recommendation method for learning tasks based on the concept of state of flow
An adaptive task difficulty assignment method which we reckon as balanced difficulty task
finder (BDTF) is proposed in this paper. The aim is to recommend tasks to a learner using a …
finder (BDTF) is proposed in this paper. The aim is to recommend tasks to a learner using a …
A CNN-based modular classification scheme for motor imagery using a novel EEG sampling protocol suitable for IoT healthcare systems
MI Chacon-Murguia, E Rivas-Posada - Neural Computing and …, 2023 - Springer
The implementation of brain-computer interfaces (BCI) for real-time has become a
paramount technology. Implementation of real-time BCI systems requires of methodologies …
paramount technology. Implementation of real-time BCI systems requires of methodologies …
Transfer learning-based EEG analysis of visual attention and working memory on motor cortex for BCI
Abstract Brain–Computer Interface (BCI) technology has been tested as a method to restore
or improve brain function. It attempts to improve human cognitive functions by using BCI's …
or improve brain function. It attempts to improve human cognitive functions by using BCI's …
Use of cognitive load measurements to design a new architecture of intelligent learning systems
A Zammouri, AA Moussa, S Chevallier - Expert Systems with Applications, 2024 - Elsevier
In the context of learning environments, the learner's attention and mental effort are of
primary interest in the process of acquiring knowledge. Due to the skills and abilities of each …
primary interest in the process of acquiring knowledge. Due to the skills and abilities of each …
The New Science of Learning
HW Huang, JT King, CL Lee - Educational Technology & Society, 2020 - JSTOR
Integrating education practices and measurements of brain activity has the potential to make
learning more engaging and productive. Direct recordings of electrical activity in the brain …
learning more engaging and productive. Direct recordings of electrical activity in the brain …
An EEG-based systematic explainable detection framework for probing and localizing abnormal patterns in Alzheimer's disease
Objective. Electroencephalography (EEG) is a potential source of downstream biomarkers
for the early diagnosis of Alzheimer's disease (AD) due to its low-cost, noninvasive, and …
for the early diagnosis of Alzheimer's disease (AD) due to its low-cost, noninvasive, and …
Predicting Working Memory performance based on specific individual EEG spatiotemporal features
Working Memory (WM) is a limited capacity system for storing and processing information,
which varies from subject to subject. Several works show the ability to predict the …
which varies from subject to subject. Several works show the ability to predict the …