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 …
Multi-channel EEG recordings during a sustained-attention driving task
We describe driver behaviour and brain dynamics acquired from a 90-minute sustained-
attention task in an immersive driving simulator. The data included 62 sessions of 32 …
attention task in an immersive driving simulator. The data included 62 sessions of 32 …
EEG classification of driver mental states by deep learning
Driver fatigue is attracting more and more attention, as it is the main cause of traffic
accidents, which bring great harm to society and families. This paper proposes to use deep …
accidents, which bring great harm to society and families. This paper proposes to use deep …
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 …
Exploring neuro-physiological correlates of drivers' mental fatigue caused by sleep deprivation using simultaneous EEG, ECG, and fNIRS data
Investigations of the neuro-physiological correlates of mental loads, or states, have attracted
significant attention recently, as it is particularly important to evaluate mental fatigue in …
significant attention recently, as it is particularly important to evaluate mental fatigue in …
Wireless and wearable EEG system for evaluating driver vigilance
Brain activity associated with attention sustained on the task of safe driving has received
considerable attention recently in many neurophysiological studies. Those investigations …
considerable attention recently in many neurophysiological studies. Those investigations …
Toward drowsiness detection using non-hair-bearing EEG-based brain-computer interfaces
Drowsy driving is one of the major causes that lead to fatal accidents worldwide. For the past
two decades, many studies have explored the feasibility and practicality of drowsiness …
two decades, many studies have explored the feasibility and practicality of drowsiness …
Cross-session classification of mental workload levels using EEG and an adaptive deep learning model
Z Yin, J Zhang - Biomedical Signal Processing and Control, 2017 - Elsevier
Abstract Evaluation of operator Mental Workload (MW) levels via ongoing
electroencephalogram (EEG) is quite promising in Human-Machine (HM) collaborative task …
electroencephalogram (EEG) is quite promising in Human-Machine (HM) collaborative task …
A subject-transfer framework for obviating inter-and intra-subject variability in EEG-based drowsiness detection
Inter-and intra-subject variability pose a major challenge to decoding human brain activity in
brain-computer interfaces (BCIs) based on non-invasive electroencephalogram (EEG) …
brain-computer interfaces (BCIs) based on non-invasive electroencephalogram (EEG) …
A collaborative brain-computer interface for improving human performance
Electroencephalogram (EEG) based brain-computer interfaces (BCI) have been studied
since the 1970s. Currently, the main focus of BCI research lies on the clinical use, which …
since the 1970s. Currently, the main focus of BCI research lies on the clinical use, which …