2020 International brain–computer interface competition: A review

JH Jeong, JH Cho, YE Lee, SH Lee, GH Shin… - Frontiers in Human …, 2022 - frontiersin.org
The brain-computer interface (BCI) has been investigated as a form of communication tool
between the brain and external devices. BCIs have been extended beyond communication …

[HTML][HTML] Structural analysis of driver fatigue behavior: a systematic review

H Zhang, D Ni, N Ding, Y Sun, Q Zhang, X Li - Transportation research …, 2023 - Elsevier
Fatigue is always accompany with the driving task, which have been extensively
investigated for driver monitoring and traffic safety. While many scholars dedicate to the …

Combat COVID-19 infodemic using explainable natural language processing models

J Ayoub, XJ Yang, F Zhou - Information Processing & Management, 2021 - Elsevier
Misinformation of COVID-19 is prevalent on social media as the pandemic unfolds, and the
associated risks are extremely high. Thus, it is critical to detect and combat such …

Human-machine shared driving: Challenges and future directions

S Ansari, F Naghdy, H Du - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Distraction, misjudgement and driving mistakes can significantly affect a driver, resulting in
an increased risk of accidents. There are diverse factors that can cause mistakes in driving …

Using eye-tracking data to predict situation awareness in real time during takeover transitions in conditionally automated driving

F Zhou, XJ Yang, JCF De Winter - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Situation awareness (SA) is critical to improving takeover performance during the transition
period from automated driving to manual driving. Although many studies measured SA …

Driver mental fatigue detection based on head posture using new modified reLU-BiLSTM deep neural network

S Ansari, F Naghdy, H Du… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Early detection of driver mental fatigue is one of the active areas of research in smart and
intelligent vehicles. There are various methods, based on measuring the physiological …

Psychophysiological responses to takeover requests in conditionally automated driving

N Du, XJ Yang, F Zhou - Accident Analysis & Prevention, 2020 - Elsevier
In SAE Level 3 automated driving, taking over control from automation raises significant
safety concerns because drivers out of the vehicle control loop have difficulty negotiating …

Predicting driver takeover performance in conditionally automated driving

N Du, F Zhou, EM Pulver, DM Tilbury, LP Robert… - Accident Analysis & …, 2020 - Elsevier
In conditionally automated driving, drivers have difficulty taking over control when requested.
To address this challenge, we aimed to predict drivers' takeover performance before the …

Real-time trust prediction in conditionally automated driving using physiological measures

J Ayoub, L Avetisian, XJ Yang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Trust calibration poses a significant challenge in the interaction between drivers and
automated vehicles (AVs) in the context of human-automation collaboration. To effectively …

Investigating explanations in conditional and highly automated driving: The effects of situation awareness and modality

L Avetisyan, J Ayoub, F Zhou - … research part F: traffic psychology and …, 2022 - Elsevier
With the level of automation increases in vehicles, such as conditional and highly automated
vehicles (AVs), drivers are becoming increasingly out of the control loop, especially in …