A review on EEG-based automatic sleepiness detection systems for driver
Electroencephalography-based sleepiness detection system (ESDS) is a brain-computer
interface that evaluates a driver's sleepiness level directly from cerebral activity. The goals of …
interface that evaluates a driver's sleepiness level directly from cerebral activity. The goals of …
Using neurophysiological signals that reflect cognitive or affective state: six recommendations to avoid common pitfalls
Estimating cognitive or affective state from neurophysiological signals and designing
applications that make use of this information requires expertise in many disciplines such as …
applications that make use of this information requires expertise in many disciplines such as …
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 …
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 …
EEG-based multiclass workload identification using feature fusion and selection
The effectiveness of workload identification is one of the critical aspects in a monitoring
instrument of mental state. In this field, the workload is usually recognized as binary classes …
instrument of mental state. In this field, the workload is usually recognized as binary classes …
EEG-based affect and workload recognition in a virtual driving environment for ASD intervention
Objective: To build group-level classification models capable of recognizing affective states
and mental workload of individuals with autism spectrum disorder (ASD) during driving skill …
and mental workload of individuals with autism spectrum disorder (ASD) during driving skill …
EEG-based driver drowsiness estimation using feature weighted episodic training
Drowsy driving is pervasive, and also a major cause of traffic accidents. Estimating a driver's
drowsiness level by monitoring the electroencephalogram (EEG) signal and taking …
drowsiness level by monitoring the electroencephalogram (EEG) signal and taking …
An EEG-based fatigue detection and mitigation system
Research has indicated that fatigue is a critical factor in cognitive lapses because it
negatively affects an individual's internal state, which is then manifested physiologically …
negatively affects an individual's internal state, which is then manifested physiologically …
Categorisation of mobile EEG: a researcher's perspective
AD Bateson, HA Baseler, KS Paulson… - BioMed research …, 2017 - Wiley Online Library
Researchers are increasingly attempting to undertake electroencephalography (EEG)
recordings in novel environments and contexts outside of the traditional static laboratory …
recordings in novel environments and contexts outside of the traditional static laboratory …
Automatic drowsiness detection based on variational non-linear chirp mode decomposition using electroencephalogram signals
In this chapter, variational non-linear chirp mode decomposition (VNCMD) based
drowsiness detection is proposed. VNCMD decomposes the signal into subbands of …
drowsiness detection is proposed. VNCMD decomposes the signal into subbands of …