The impact of multisensory integration and perceptual load in virtual reality settings on performance, workload and presence
Real-world experience is typically multimodal. Evidence indicates that the facilitation in the
detection of multisensory stimuli is modulated by the perceptual load, the amount of …
detection of multisensory stimuli is modulated by the perceptual load, the amount of …
Driving-induced neurological biomarkers in an advanced driver-assistance system
Physiological signals are immediate and sensitive to neurological changes resulting from
the mental workload induced by various driving environments and are considered a …
the mental workload induced by various driving environments and are considered a …
Continuous EEG decoding of pilots' mental states using multiple feature block-based convolutional neural network
Non-invasive brain-computer interface (BCI) has been developed for recognizing and
classifying human mental states with high performances. Specifically, classifying pilots' …
classifying human mental states with high performances. Specifically, classifying pilots' …
Multimodal fuzzy fusion for enhancing the motor-imagery-based brain computer interface
Brain-computer interface technologies, such as steady-state visually evoked potential, P300,
and motor imagery are methods of communication between the human brain and the …
and motor imagery are methods of communication between the human brain and the …
Improving EEG-based driver distraction classification using brain connectivity estimators
This paper discusses a novel approach to an EEG (electroencephalogram)-based driver
distraction classification by using brain connectivity estimators as features. Ten healthy …
distraction classification by using brain connectivity estimators as features. Ten healthy …
EEG theta power activity reflects workload among army combat drivers: an experimental study
C Diaz-Piedra, MV Sebastián, LL Di Stasi - Brain sciences, 2020 - mdpi.com
We aimed to evaluate the effects of mental workload variations, as a function of the road
environment, on the brain activity of army drivers performing combat and non-combat …
environment, on the brain activity of army drivers performing combat and non-combat …
Drivers' EEG responses to different distraction tasks
Driver distraction has been deemed a major cause of traffic accidents. However, drivers'
brain response activities to different distraction types have not been well investigated. The …
brain response activities to different distraction types have not been well investigated. The …
A driving performance forecasting system based on brain dynamic state analysis using 4-D convolutional neural networks
Vehicle accidents are the primary cause of fatalities worldwide. Most often, experiencing
fatigue on the road leads to operator errors and behavioral lapses. Thus, there is a need to …
fatigue on the road leads to operator errors and behavioral lapses. Thus, there is a need to …
Challenge for affective brain-computer interfaces: Non-stationary spatio-spectral EEG oscillations of emotional responses
Electroencephalogram (EEG)-based affective brain-computer interfaces (aBCIs) have been
attracting ever-growing interest and research resources. Whereas most previous …
attracting ever-growing interest and research resources. Whereas most previous …
Multiple nonlinear features fusion based driving fatigue detection
Various studies showed driving fatigue is one import factor that caused traffic accidents, so
it's of great significance to seek an effective detection method for the safety of life and …
it's of great significance to seek an effective detection method for the safety of life and …