Human emotion recognition from EEG-based brain–computer interface using machine learning: a comprehensive review
EH Houssein, A Hammad, AA Ali - Neural Computing and Applications, 2022 - Springer
Affective computing, a subcategory of artificial intelligence, detects, processes, interprets,
and mimics human emotions. Thanks to the continued advancement of portable non …
and mimics human emotions. Thanks to the continued advancement of portable non …
A review of EEG signal features and their application in driver drowsiness detection systems
Detecting drowsiness in drivers, especially multi-level drowsiness, is a difficult problem that
is often approached using neurophysiological signals as the basis for building a reliable …
is often approached using neurophysiological signals as the basis for building a reliable …
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 …
Detecting fatigue in car drivers and aircraft pilots by using non-invasive measures: The value of differentiation of sleepiness and mental fatigue
X Hu, G Lodewijks - Journal of safety research, 2020 - Elsevier
Introduction: Fatigue is one of the most crucial factors that contribute to a decrease of the
operating performance of aircraft pilots and car drivers and, as such, plays a dangerous role …
operating performance of aircraft pilots and car drivers and, as such, plays a dangerous role …
A multimodal approach to estimating vigilance using EEG and forehead EOG
Objective. Covert aspects of ongoing user mental states provide key context information for
user-aware human computer interactions. In this paper, we focus on the problem of …
user-aware human computer interactions. In this paper, we focus on the problem of …
[HTML][HTML] Hybrid brain–computer interface techniques for improved classification accuracy and increased number of commands: a review
In this paper, hybrid brain-computer interface (hBCI) technologies for improving
classification accuracy and increasing the number of commands are reviewed. Hybridization …
classification accuracy and increasing the number of commands are reviewed. Hybridization …
A hybrid approach to detect driver drowsiness utilizing physiological signals to improve system performance and wearability
Driver drowsiness is a major cause of fatal accidents, injury, and property damage, and has
become an area of substantial research attention in recent years. The present study …
become an area of substantial research attention in recent years. The present study …
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 …
Convolutional neural network for drowsiness detection using EEG signals
S Chaabene, B Bouaziz, A Boudaya, A Hökelmann… - Sensors, 2021 - mdpi.com
Drowsiness detection (DD) has become a relevant area of active research in biomedical
signal processing. Recently, various deep learning (DL) researches based on the EEG …
signal processing. Recently, various deep learning (DL) researches based on the EEG …
Blinks and saccades as indicators of fatigue in sleepiness warnings: looking tired?
R Schleicher, N Galley, S Briest, L Galley - Ergonomics, 2008 - Taylor & Francis
The present study examines changes in a variety of oculomotoric variables as a function of
increasing sleepiness in 129 participants, who have been passed through a broad range of …
increasing sleepiness in 129 participants, who have been passed through a broad range of …