Passive BCI beyond the lab: current trends and future directions
Over the last decade, passive brain–computer interface (BCI) algorithms and biosignal
acquisition technologies have experienced a significant growth that has allowed the real …
acquisition technologies have experienced a significant growth that has allowed the real …
A survey on methods and challenges in EEG based authentication
EEG is the recording of electrical activities of the brain, usually along the scalp surface,
which are the results of synaptic activations of the brain's neurons. In recent years, it has …
which are the results of synaptic activations of the brain's neurons. In recent years, it has …
Multi-channel EEG recordings during a sustained-attention driving task
We describe driver behaviour and brain dynamics acquired from a 90-minute sustained-
attention task in an immersive driving simulator. The data included 62 sessions of 32 …
attention task in an immersive driving simulator. The data included 62 sessions of 32 …
How physical activities affect mental fatigue based on EEG energy, connectivity, and complexity
R Xu, C Zhang, F He, X Zhao, H Qi, P Zhou… - Frontiers in …, 2018 - frontiersin.org
Many studies have verified that there is an interaction between physical activities and mental
fatigue. However, few studies are focused on the effect of physical activities on mental …
fatigue. However, few studies are focused on the effect of physical activities on mental …
An interval-valued Pythagorean prioritized operator-based game theoretical framework with its applications in multicriteria group decision making
Multicriteria decision-making process explicitly evaluates multiple conflicting criteria in
decision making. The conventional decision-making approaches assumed that each agent …
decision making. The conventional decision-making approaches assumed that each agent …
A systematic review on motor-imagery brain-connectivity-based computer interfaces
This review article discusses the definition and implementation of brain–computer interface
(BCI) system relying on brain connectivity (BC) and machine learning/deep learning (DL) for …
(BCI) system relying on brain connectivity (BC) and machine learning/deep learning (DL) for …
Tiny noise, big mistakes: adversarial perturbations induce errors in brain–computer interface spellers
An electroencephalogram (EEG)-based brain–computer interface (BCI) speller allows a user
to input text to a computer by thought. It is particularly useful to severely disabled individuals …
to input text to a computer by thought. It is particularly useful to severely disabled individuals …
Analysis of high-dimensional biomedical data using an evolutionary multi-objective emperor penguin optimizer
Over the last two decades, there has been an expeditious expansion in the generation and
exploration of high-dimensional biomedical data. Identification of biomarkers from the …
exploration of high-dimensional biomedical data. Identification of biomarkers from the …
A wireless multifunctional SSVEP-based brain–computer interface assistive system
Several kinds of brain-computer interface (BCI) systems have been proposed to compensate
for the lack of medical technology for assisting patients who lose the ability to use motor …
for the lack of medical technology for assisting patients who lose the ability to use motor …
EEG-based detection of epileptic seizures through the use of a directed transfer function method
This paper aims to explore the automatic detection method of epileptic seizures to improve
the treatment and diagnosis of medically refractory epilepsy patients. Anew algorithm based …
the treatment and diagnosis of medically refractory epilepsy patients. Anew algorithm based …