Application of artificial intelligence in cognitive load analysis using functional near-infrared spectroscopy: A systematic review

MA Khan, H Asadi, L Zhang, MRC Qazani… - Expert Systems with …, 2024 - Elsevier
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 …

Electroencephalogram-based cognitive load level classification using wavelet decomposition and support vector machine

F Khanam, ABMA Hossain, M Ahmad - Brain-Computer Interfaces, 2023 - Taylor & Francis
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 …

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 …

Investigation of the neural correlation with task performance and its effect on cognitive load level classification

F Khanam, M Ahmad, ABMA Hossain - Plos one, 2023 - journals.plos.org
Electroencephalogram (EEG)-based cognitive load assessment is now an important
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

SM Nur, SS Ridoy, J Ahmed, F Hakim… - 2023 6th International …, 2023 - ieeexplore.ieee.org
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 …

Subject dependent cognitive load level classification from fNIRS signal using Support Vector Machine

SU Ayman, A Arrafuzzaman, MA Rahman - Proceedings of International …, 2023 - Springer
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 …

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 …

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 …