A Comprehensive Survey of EEG Preprocessing Methods for Cognitive Load Assessment
K Kyriaki, D Koukopoulos, CA Fidas - IEEE Access, 2024 - ieeexplore.ieee.org
Preprocessing electroencephalographic (EEG) signals during computer-mediated Cognitive
Load tasks is crucial in Human-Computer Interaction (HCI). This process significantly …
Load tasks is crucial in Human-Computer Interaction (HCI). This process significantly …
Reproducible machine learning research in mental workload classification using EEG
G Demirezen, T Taşkaya Temizel… - Frontiers in …, 2024 - frontiersin.org
This study addresses concerns about reproducibility in scientific research, focusing on the
use of electroencephalography (EEG) and machine learning to estimate mental workload …
use of electroencephalography (EEG) and machine learning to estimate mental workload …
Eeg-based cognitive load estimation of acoustic parameters for data sonification
Sonification is a data visualization technique which expresses data attributes via
psychoacoustic parameters, which are non-speech audio signals used to convey …
psychoacoustic parameters, which are non-speech audio signals used to convey …
[PDF][PDF] Revisiting Visualization Evaluation Using EEG and Visualization Literacy Assessment Test
Using EEG signals, also known as Electroencephalogram, can provide a quantitative
measure of human cognitive load, making it an effective tool for evaluating visualization …
measure of human cognitive load, making it an effective tool for evaluating visualization …