Application of artificial intelligence techniques for brain–computer interface in mental fatigue detection: A systematic review (2011–2022)

H Yaacob, F Hossain, S Shari, SK Khare, CP Ooi… - IEEe …, 2023‏ - ieeexplore.ieee.org
Mental fatigue is a psychophysical condition with a significant adverse effect on daily life,
compromising both physical and mental wellness. We are experiencing challenges in this …

Fatigue factors and fatigue indices in SSVEP-based brain-computer interfaces: a systematic review and meta-analysis

M Azadi Moghadam, A Maleki - Frontiers in Human Neuroscience, 2023‏ - frontiersin.org
Background Fatigue is a serious challenge when applying a steady-state visual evoked
potential (SSVEP)-based brain-computer interfaces (BCIs) in the real world. Many …

Exploration of eye fatigue detection features and algorithm based on eye-tracking signal

W Sun, Y Wang, B Hu, Q Wang - Electronics, 2024‏ - mdpi.com
Eye fatigue has a fatiguing effect on the eye muscles, and eye movement performance is a
macroscopic response to the eye fatigue state. To detect and prevent the risk of eye fatigue …

[HTML][HTML] Designing a practical fatigue detection system: A review on recent developments and challenges

MA Al Imran, F Nasirzadeh, C Karmakar - Journal of Safety Research, 2024‏ - Elsevier
Introduction Fatigue is considered to have a life-threatening effect on human health and it
has been an active field of research in different sectors. Deploying wearable physiological …

Fatigue working detection based on facial multifeature fusion

Y Yi, H Zhang, W Zhang, Y Yuan, C Li - IEEE Sensors Journal, 2023‏ - ieeexplore.ieee.org
Working under fatigue states is not only inefficient but also brings a series of safety concerns
and health problems. This article presents a novel fatigue detection algorithm based on …

A multimodal approach to estimating vigilance in SSVEP-based BCI

K Wang, S Qiu, W Wei, Y Zhang, S Wang, H He… - Expert Systems with …, 2023‏ - Elsevier
Brain-computer interface (BCI) is a communication system that allows a direct connection
between the human brain and external devices, which is able to provide assistance and …

Improving SSVEP-BCI performance through repetitive anodal tDCS-based neuromodulation: insights from fractal EEG and brain functional connectivity

S Zhang, H Cui, Y Li, X Chen, X Gao… - IEEE Transactions on …, 2024‏ - ieeexplore.ieee.org
This study embarks on a comprehensive investigation of the effectiveness of repetitive
transcranial direct current stimulation (tDCS)-based neuromodulation in augmenting steady …

A regression method for EEG-based cross-dataset fatigue detection

D Yuan, J Yue, X **ong, Y Jiang, P Zan, C Li - Frontiers in Physiology, 2023‏ - frontiersin.org
Introduction: Fatigue is dangerous for certain jobs requiring continuous concentration. When
faced with new datasets, the existing fatigue detection model needs a large amount of …

A generative adaptive convolutional neural network with attention mechanism for driver fatigue detection with class-imbalanced and insufficient data

L He, L Zhang, Q Sun, XT Lin - Behavioural brain research, 2024‏ - Elsevier
Over the past few years, fatigue driving has emerged as one of the main causes of traffic
accidents, necessitating the development of driver fatigue detection systems. However …

Human-computer interaction for brain-inspired computing based on machine learning and deep learning: A review

B Yu, S Zhang, L Zhou, J Wei, L Sun, L Bu - arxiv preprint arxiv …, 2023‏ - arxiv.org
The continuous development of artificial intelligence has a profound impact on biomedicine
and other fields, providing new research ideas and technical methods. Brain-inspired …