Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states
Brain–computer interfaces (BCIs) development is closely related to physics. In this paper, we
review the physical principles of BCIs, and underlying novel approaches for registration …
review the physical principles of BCIs, and underlying novel approaches for registration …
Cognitive workload recognition using EEG signals and machine learning: A review
Machine learning and its subfield deep learning techniques provide opportunities for the
development of operator mental state monitoring, especially for cognitive workload …
development of operator mental state monitoring, especially for cognitive workload …
The dry revolution: Evaluation of three different EEG dry electrode types in terms of signal spectral features, mental states classification and usability
One century after the first recording of human electroencephalographic (EEG) signals, EEG
has become one of the most used neuroimaging techniques. The medical devices industry …
has become one of the most used neuroimaging techniques. The medical devices industry …
Modern machine-learning algorithms: for classifying cognitive and affective states from electroencephalography signals
Estimating cognitive or affective states from brain signals is a key but challenging step in
creating passive brain-computer interface (BCI) applications. So far, estimating mental …
creating passive brain-computer interface (BCI) applications. So far, estimating mental …
EEG-based workload estimation across affective contexts
Workload estimation from electroencephalographic signals (EEG) offers a highly sensitive
tool to adapt the human–computer interaction to the user state. To create systems that …
tool to adapt the human–computer interaction to the user state. To create systems that …
EEG fingerprints of task-independent mental workload discrimination
In the nascent field of neuroergonomics, mental workload assessment is one of the most
important issues and has an apparent significance in real-world applications. Although prior …
important issues and has an apparent significance in real-world applications. Although prior …
Task-independent mental workload classification based upon common multiband EEG cortical connectivity
Efficient classification of mental workload, an important issue in neuroscience, is limited, so
far to single task, while cross-task classification remains a challenge. Furthermore, network …
far to single task, while cross-task classification remains a challenge. Furthermore, network …
Mental workload drives different reorganizations of functional cortical connectivity between 2D and 3D simulated flight experiments
I Kakkos, GN Dimitrakopoulos, L Gao… - … on Neural Systems …, 2019 - ieeexplore.ieee.org
Despite the apparent usefulness of efficient mental workload assessment in various real-
world situations, the underlying neural mechanism remains largely unknown, and studies of …
world situations, the underlying neural mechanism remains largely unknown, and studies of …
EEG-based cognitive load of processing events in 3D virtual worlds is lower than processing events in 2D displays
A Dan, M Reiner - International Journal of Psychophysiology, 2017 - Elsevier
Interacting with 2D displays, such as computer screens, smartphones, and TV, is currently a
part of our daily routine; however, our visual system is built for processing 3D worlds. We …
part of our daily routine; however, our visual system is built for processing 3D worlds. We …
Avionics human-machine interfaces and interactions for manned and unmanned aircraft
Technological advances in avionics systems and components have facilitated the
introduction of progressively more integrated and automated Human-Machine Interfaces …
introduction of progressively more integrated and automated Human-Machine Interfaces …