Electroencephalogram-based approaches for driver drowsiness detection and management: A review

G Li, WY Chung - Sensors, 2022 - mdpi.com
Drowsiness is not only a core challenge to safe driving in traditional driving conditions but
also a serious obstacle for the wide acceptance of added services of self-driving cars …

A context-aware EEG headset system for early detection of driver drowsiness

G Li, WY Chung - Sensors, 2015 - mdpi.com
Driver drowsiness is a major cause of mortality in traffic accidents worldwide.
Electroencephalographic (EEG) signal, which reflects the brain activities, is more directly …

Neuroergonomics on the go: an evaluation of the potential of mobile EEG for workplace assessment and design

E Wascher, J Reiser, G Rinkenauer, M Larrá… - Human …, 2023 - journals.sagepub.com
Objective We demonstrate and discuss the use of mobile electroencephalogram (EEG) for
neuroergonomics. Both technical state of the art as well as measures and cognitive concepts …

An EEG-based fatigue detection and mitigation system

KC Huang, TY Huang, CH Chuang, JT King… - … journal of neural …, 2016 - World Scientific
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 …

Combined EEG-gyroscope-tDCS brain machine interface system for early management of driver drowsiness

G Li, WY Chung - IEEE Transactions on Human-Machine …, 2017 - ieeexplore.ieee.org
In this paper, we present the design and implementation of a wireless, wearable brain
machine interface (BMI) system dedicated to signal sensing and processing for driver …

Evaluating mental load during realistic driving simulations by means of round the ear electrodes

E Wascher, S Arnau, JE Reiser, G Rudinger… - Frontiers in …, 2019 - frontiersin.org
Film based round the ear electrodes (cEEGrids) provide both, the accessibility of
unobtrusive mobile EEG as well as a rapid EEG application in stationary settings when …

Driver state examination—Treading new paths

E Wascher, S Getzmann, M Karthaus - Accident Analysis & Prevention, 2016 - Elsevier
A large proportion of crashes in road driving can be attributed to driver fatigue. Several types
of fatigue are discussed, comprising sleep-related fatigue, active task-related fatigue (as a …

Driver drowsiness estimation from facial expression features computer vision feature investigation using a CG model

T Nakamura, A Maejima… - … Conference on Computer …, 2014 - ieeexplore.ieee.org
We propose a method for estimating the degree of a driver's drowsiness on the basis of
changes in facial expressions captured by an IR camera. Typically, drowsiness is …

The effects of different fatigue levels on brain–behavior relationships in driving

KC Huang, CH Chuang, Y Wang, CY Hsieh… - Brain and …, 2019 - Wiley Online Library
Background In the past decade, fatigue has been regarded as one of the main factors
impairing task performance and increasing behavioral lapses during driving, even leading to …

Temporal EEG imaging for drowsy driving prediction

EJ Cheng, KY Young, CT Lin - Applied Sciences, 2019 - mdpi.com
As a major cause of vehicle accidents, the prevention of drowsy driving has received
increasing public attention. Precisely identifying the drowsy state of drivers is difficult since it …