A review of psychophysiological measures to assess cognitive states in real-world driving

M Lohani, BR Payne, DL Strayer - Frontiers in human neuroscience, 2019 - frontiersin.org
As driving functions become increasingly automated, motorists run the risk of becoming
cognitively removed from the driving process. Psychophysiological measures may provide …

[HTML][HTML] Consumer-grade EEG devices: are they usable for control tasks?

R Maskeliunas, R Damasevicius, I Martisius… - PeerJ, 2016 - peerj.com
We present the evaluation of two well-known, low-cost consumer-grade EEG devices: the
Emotiv EPOC and the Neurosky MindWave. Problems with using the consumer-grade EEG …

Cognitive heat: exploring the usage of thermal imaging to unobtrusively estimate cognitive load

Y Abdelrahman, E Velloso, T Dingler… - Proceedings of the …, 2017 - dl.acm.org
Current digital systems are largely blind to users' cognitive states. Systems that adapt to
users' states show great potential for augmenting cognition and for creating novel user …

Detecting attention levels in ADHD children with a video game and the measurement of brain activity with a single-channel BCI headset

A Serrano-Barroso, R Siugzdaite, J Guerrero-Cubero… - Sensors, 2021 - mdpi.com
Attentional biomarkers in attention deficit hyperactivity disorder are difficult to detect using
only behavioural testing. We explored whether attention measured by a low-cost EEG …

Cognitive load measurement-a methodology to compare low cost commercial eeg devices

R Das, D Chatterjee, D Das… - … on advances in …, 2014 - ieeexplore.ieee.org
Use of EEG signals in measuring cognitive load is a widely practiced area and falls under
Brain-Computer-Interfacing (BCI) technology. However this technology uses medical grade …

[PDF][PDF] Virtual Reality & Electronic Games for Assessment in ADHD.

A Doulou, A Drigas - Int. J. Recent Contributions Eng. Sci. IT, 2022 - researchgate.net
Various computerized measures have been created in recent years to improve the accuracy
of the evaluation of attention deficit hyperactivity disorder (ADHD). Its diagnosis is usually …

[PDF][PDF] Classification of mental tasks from EEG signals using spectral analysis, PCA and SVM

NN Neshov, AH Manolova, IR Draganov… - Cybernetics and …, 2018 - sciendo.com
Signals provided by the ElectroEncephaloGraphy (EEG) are widely used in Brain-Computer
Interface (BCI) applications. They can be further analyzed and used for thinking activity …

Characterizing computer access using a one-channel EEG wireless sensor

AJ Molina-Cantero, J Guerrero-Cubero… - Sensors, 2017 - mdpi.com
This work studies the feasibility of using mental attention to access a computer. Brain activity
was measured with an electrode placed at the Fp1 position and the reference on the left ear; …

Enabling real-time collaborative brain-mobile interactive applications on volunteer mobile devices

M Pore, K Sadeghi, V Chakati, A Banerjee… - Proceedings of the 2nd …, 2015 - dl.acm.org
Commercially available wearable brain sensors and devices that convert smartphones into
virtual reality systems open up the potential to implement real time collaborative brain …

[HTML][HTML] A neurofeedback-based intervention to reduce post-operative pain in lung cancer patients: study protocol for a randomized controlled trial

A Gorini, C Marzorati, M Casiraghi… - JMIR research …, 2015 - researchprotocols.org
Background: Thoracic surgery appears to be the treatment of choice for many lung cancers.
Nevertheless, depending on the type of surgery, the chest area may be painful for several …