Fuzzy neural networks and neuro-fuzzy networks: A review the main techniques and applications used in the literature
PV de Campos Souza - Applied soft computing, 2020 - Elsevier
This paper presents a review of the central theories involved in hybrid models based on
fuzzy systems and artificial neural networks, mainly focused on supervised methods for …
fuzzy systems and artificial neural networks, mainly focused on supervised methods for …
Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness
This paper reviews published papers related to neurophysiological measurements (
electroencephalography: EEG, electrooculography EOG; heart rate: HR) in pilots/drivers …
electroencephalography: EEG, electrooculography EOG; heart rate: HR) in pilots/drivers …
EEG-based spatio–temporal convolutional neural network for driver fatigue evaluation
Driver fatigue evaluation is of great importance for traffic safety and many intricate factors
would exacerbate the difficulty. In this paper, based on the spatial-temporal structure of …
would exacerbate the difficulty. In this paper, based on the spatial-temporal structure of …
Consumer neuroscience: Assessing the brain response to marketing stimuli using electroencephalogram (EEG) and eye tracking
Application of neuroscience methods to analyze and understand human behavior related to
markets and marketing exchange has recently gained research attention. The basic aim is to …
markets and marketing exchange has recently gained research attention. The basic aim is to …
EEG-based brain-controlled mobile robots: a survey
L Bi, XA Fan, Y Liu - IEEE transactions on human-machine …, 2013 - ieeexplore.ieee.org
EEG-based brain-controlled mobile robots can serve as powerful aids for severely disabled
people in their daily life, especially to help them move voluntarily. In this paper, we provide a …
people in their daily life, especially to help them move voluntarily. In this paper, we provide a …
Sustained attention in real classroom settings: An EEG study
Sustained attention is a process that enables the maintenance of response persistence and
continuous effort over extended periods of time. Performing attention-related tasks in real life …
continuous effort over extended periods of time. Performing attention-related tasks in real life …
Driver drowsiness classification using fuzzy wavelet-packet-based feature-extraction algorithm
Driver drowsiness and loss of vigilance are a major cause of road accidents. Monitoring
physiological signals while driving provides the possibility of detecting and warning of …
physiological signals while driving provides the possibility of detecting and warning of …
Automatic detection of drowsiness in EEG records based on multimodal analysis
Drowsiness is one of the main causal factors in many traffic accidents due to the clear
decline in the attention and recognition of danger drivers, diminishing vehicle-handling …
decline in the attention and recognition of danger drivers, diminishing vehicle-handling …
Applications of EEG indices for the quantification of human cognitive performance: A systematic review and bibliometric analysis
LE Ismail, W Karwowski - Plos one, 2020 - journals.plos.org
Background Neuroergonomics combines neuroscience with ergonomics to study human
performance using recorded brain signals. Such neural signatures of performance can be …
performance using recorded brain signals. Such neural signatures of performance can be …
A graph theory-based modeling of functional brain connectivity based on EEG: a systematic review in the context of neuroergonomics
LE Ismail, W Karwowski - Ieee Access, 2020 - ieeexplore.ieee.org
Graph theory analysis, a mathematical approach, has been applied in brain connectivity
studies to explore the organization of network patterns. The computation of graph theory …
studies to explore the organization of network patterns. The computation of graph theory …