Application of artificial intelligence in cognitive load analysis using functional near-infrared spectroscopy: A systematic review
Cognitive load theory suggests that overloading of working memory may negatively affect
the performance of human in cognitively demanding tasks. Evaluation of cognitive load is a …
the performance of human in cognitively demanding tasks. Evaluation of cognitive load is a …
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 …
Assessment of cognitive workload using simultaneous EEG and fNIRS: A comparison of feature combinations
A Ghasimi, S Shamekhi - Computers and Electrical Engineering, 2024 - Elsevier
The assessment of cognitive workload is a critical component in evaluating mental activity. It
is essential in psychology, especially in professions with heightened cognitive demands …
is essential in psychology, especially in professions with heightened cognitive demands …
Investigation of the neural correlation with task performance and its effect on cognitive load level classification
Electroencephalogram (EEG)-based cognitive load assessment is now an important
assignment in psychological research. This type of research work is conducted by providing …
assignment in psychological research. This type of research work is conducted by providing …
Proposal for the Optimal Scheme of Savitzky–Golay Filter for the fNIRS Signals of Different Sampling Rate
This paper introduces an approach for determining optimal parameters to effectively apply
the Savitzky–Golay (SG) filter to remove physiological noises in functional near-infrared …
the Savitzky–Golay (SG) filter to remove physiological noises in functional near-infrared …
Subject dependent cognitive load level classification from fNIRS signal using Support Vector Machine
Cognitive workload, the amount of mental effort perceived by an individual while doing a
task, is reflected in the metabolic activity of different parts of the brain. Being an important …
task, is reflected in the metabolic activity of different parts of the brain. Being an important …
Exploring the Potential for Metrics of Cognitive Workload to Measure Situational Awareness
PK Sahoo - 2024 - search.proquest.com
This study examines the relationship between workload (CW) and situational awareness
(SA) in autonomous vehicles. We investigated (1) whether CW metrics can predict SA, and …
(SA) in autonomous vehicles. We investigated (1) whether CW metrics can predict SA, and …
Development of Functional Near-Infrared Spectroscopy-Based Brain-Computer Interface Model Using Principal Components and Latent Variables Artificial Neural …
JH Ong - 2023 - search.proquest.com
Functional near-infrared spectroscopy (fNIRS) is a non-invasive brain imaging technology in
brain-computer interface (BCI) applications. Poor signal quality and massive irrelevant …
brain-computer interface (BCI) applications. Poor signal quality and massive irrelevant …