Past, present, and future of EEG-based BCI applications
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 …
provides a pathway between the brain and external devices by interpreting EEG. EEG …
Systematic review of driving simulator validation studies
Driving simulators are a common tool for researching driver behaviour, providing practical,
safe, and controlled environments. Despite their frequent use in research, there is relatively …
safe, and controlled environments. Despite their frequent use in research, there is relatively …
Toward open-world electroencephalogram decoding via deep learning: A comprehensive survey
Electroencephalogram (EEG) decoding aims to identify the perceptual, semantic, and
cognitive content of neural processing based on noninvasively measured brain activity …
cognitive content of neural processing based on noninvasively measured brain activity …
The Berlin brain-computer interface: progress beyond communication and control
The combined effect of fundamental results about neurocognitive processes and
advancements in decoding mental states from ongoing brain signals has brought forth a …
advancements in decoding mental states from ongoing brain signals has brought forth a …
Correcting robot mistakes in real time using EEG signals
Communication with a robot using brain activity from a human collaborator could provide a
direct and fast feedback loop that is easy and natural for the human, thereby enabling a wide …
direct and fast feedback loop that is easy and natural for the human, thereby enabling a wide …
EEG-based mental workload neurometric to evaluate the impact of different traffic and road conditions in real driving settings
Car driving is considered a very complex activity, consisting of different concomitant tasks
and subtasks, thus it is crucial to understand the impact of different factors, such as road …
and subtasks, thus it is crucial to understand the impact of different factors, such as road …
Cross-subject zero calibration driver's drowsiness detection: Exploring spatiotemporal image encoding of EEG signals for convolutional neural network classification
This paper explores two methodologies for drowsiness detection using EEG signals in a
sustained-attention driving task considering pre-event time windows, and focusing on cross …
sustained-attention driving task considering pre-event time windows, and focusing on cross …
Review of the state-of-the-art of brain-controlled vehicles
Brain-Controlled Vehicle (BCV) is an already established technology usually designed for
disabled patients. This review focuses on the most relevant topics on brain-controlled …
disabled patients. This review focuses on the most relevant topics on brain-controlled …
The sample size matters: to what extent the participant reduction affects the outcomes of a neuroscientific research. A case-study in neuromarketing field
The sample size is a crucial concern in scientific research and even more in behavioural
neurosciences, where besides the best practice it is not always possible to reach large …
neurosciences, where besides the best practice it is not always possible to reach large …
Advanced Electrode Technologies for Noninvasive Brain–Computer Interfaces
Brain–computer interfaces (BCIs) have garnered significant attention in recent years due to
their potential applications in medical, assistive, and communication technologies. Building …
their potential applications in medical, assistive, and communication technologies. Building …