Consumer grade EEG measuring sensors as research tools: A review

P Sawangjai, S Hompoonsup… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
Since the launch of the first consumer grade EEG measuring sensorsNeuroSky Mindset'in
2007, the market has witnessed an introduction of at least one new product every year by …

Wireless sensors for brain activity—A survey

M TajDini, V Sokolov, I Kuzminykh, S Shiaeles, B Ghita - Electronics, 2020 - mdpi.com
Over the last decade, the area of electroencephalography (EEG) witnessed a progressive
move from high-end large measurement devices, relying on accurate construction and …

A single-channel consumer-grade EEG device for brain–computer interface: Enhancing detection of SSVEP and its amplitude modulation

P Autthasan, X Du, J Arnin, S Lamyai… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
Brain-Computer interfaces (BCIs) play a significant role in easing neuromuscular patients on
controlling computers and prosthetics. Due to their high signal-to-noise ratio, steady-state …

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 …

Uncovering and Addressing Blink-Related Challenges in Using Eye Tracking for Interactive Systems

JW Grootjen, H Weingärtner, S Mayer - Proceedings of the CHI …, 2024 - dl.acm.org
Currently, interactive systems use physiological sensing to enable advanced functionalities.
While eye tracking is a promising means to understand the user, eye tracking data inherently …

Classification of visual cognitive workload using analytic wavelet transform

SS Gupta, RR Manthalkar - Biomedical Signal Processing and Control, 2020 - Elsevier
Visual stimuli are used to induce cognitive load of various levels to examine its effect on
EEG signals. Four cognitive workload levels are generated by using different shapes and …

Where Did I Get Lost? A Prototype Tool for Predicting Local-Level Comprehension Difficulties with Wearables and Explainable Machine Learning

H Hijazi, M Gomes, J Castelhano… - IEEE …, 2024 - ieeexplore.ieee.org
In this study, we present iMind, a novel prototype tool designed to predict individuals'
comprehension difficulties with online content at local levels, such as paragraphs or multiple …

Cognitively Driven Arabic Text Readability Assessment Using Eye-Tracking

I Baazeem, H Al-Khalifa, A Al-Salman - Applied Sciences, 2021 - mdpi.com
Using physiological data helps to identify the cognitive processing in the human brain. One
method of obtaining these behavioral signals is by using eye-tracking technology. Previous …

Electroencephalogram (EEG) Signals for Modern Educational Research

F Bashir, A Ali, TA Soomro, M Marouf… - … Technologies for 21st …, 2021 - taylorfrancis.com
Present classroom observation techniques include live or video surveillance, metrics for self-
reports interviews, and questionnaires. Nevertheless, such conventional techniques are …

Health Information Readability Affects Users' Cognitive Load and Information Processing: An Eye-Tracking Study

K Qing, D Songyun, Q Qin - Data Analysis and Knowledge …, 2021 - manu44.magtech.com.cn
[Objective] This paper analyzes the impacts of health informtion readability on users'
cognitive load and information processing.[Methods] We created two sets of health …