Past, present, and future of EEG-based BCI applications

K Värbu, N Muhammad, Y Muhammad - Sensors, 2022 - mdpi.com
An electroencephalography (EEG)-based brain–computer interface (BCI) is a system that
provides a pathway between the brain and external devices by interpreting EEG. EEG …

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 …

Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications

JM Górriz, J Ramírez, A Ortiz, FJ Martinez-Murcia… - Neurocomputing, 2020 - Elsevier
Artificial intelligence and all its supporting tools, eg machine and deep learning in
computational intelligence-based systems, are rebuilding our society (economy, education …

[HTML][HTML] EEG-based emotion recognition: Review of commercial EEG devices and machine learning techniques

D Dadebayev, WW Goh, EX Tan - … of King Saud University-Computer and …, 2022 - Elsevier
Emotion recognition based on electroencephalography (EEG) signal features is now one of
the booming big data research areas. As the number of commercial EEG devices in the …

[HTML][HTML] The neuropsychopharmacology of cannabis: A review of human imaging studies

MAP Bloomfield, C Hindocha, SF Green… - Pharmacology & …, 2019 - Elsevier
The laws governing cannabis are evolving worldwide and associated with changing
patterns of use. The main psychoactive drug in cannabis is Δ 9-tetrahydrocannabinol (THC) …

[HTML][HTML] Measuring human physiological indices for thermal comfort assessment through wearable devices: A review

SA Mansi, G Barone, C Forzano, I Pigliautile, M Ferrara… - Measurement, 2021 - Elsevier
Thermal comfort is defined as the condition of mind that expresses satisfaction with the
thermal environment and it is assessed by subjective evaluation. Achieving comfortable …

[HTML][HTML] Mobile EEG in research on neurodevelopmental disorders: Opportunities and challenges

A Lau-Zhu, MPH Lau, G McLoughlin - Developmental cognitive …, 2019 - Elsevier
Mobile electroencephalography (mobile EEG) represents a next-generation neuroscientific
technology–to study real-time brain activity–that is relatively inexpensive, non-invasive and …

Picking your brains: Where and how neuroscience tools can enhance marketing research

L Alvino, L Pavone, A Abhishta, H Robben - Frontiers in neuroscience, 2020 - frontiersin.org
The use of neuroscience tools to study consumer behavior and the decision making process
in marketing has improved our understanding of cognitive, neuronal, and emotional …

Emognition dataset: emotion recognition with self-reports, facial expressions, and physiology using wearables

S Saganowski, J Komoszyńska, M Behnke, B Perz… - Scientific data, 2022 - nature.com
The Emognition dataset is dedicated to testing methods for emotion recognition (ER) from
physiological responses and facial expressions. We collected data from 43 participants who …

Noninvasive electroencephalography equipment for assistive, adaptive, and rehabilitative brain–computer interfaces: a systematic literature review

N Jamil, AN Belkacem, S Ouhbi, A Lakas - Sensors, 2021 - mdpi.com
Humans interact with computers through various devices. Such interactions may not require
any physical movement, thus aiding people with severe motor disabilities in communicating …