Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
When brain-computer interfaces meet the metaverse: Landscape, demonstrator, trends, challenges, and concerns
The metaverse has gained tremendous popularity in recent years, allowing the
interconnection of users worldwide. However, current systems in metaverse scenarios, such …
interconnection of users worldwide. However, current systems in metaverse scenarios, such …
CWSTR-Net: A Channel-Weighted Spatial–Temporal Residual Network based on nonsmooth nonnegative matrix factorization for fatigue detection using EEG signals
X Li, J Tang, X Li, Y Yang - Biomedical Signal Processing and Control, 2024 - Elsevier
Mental fatigue is the leading cause of accidents among industrial workers. Deep learning
algorithms that harness multichannel electroencephalogram (EEG) data have proven to be …
algorithms that harness multichannel electroencephalogram (EEG) data have proven to be …
A hybrid critical channels and optimal feature subset selection framework for EEG fatigue recognition
H Guo, S Chen, Y Zhou, T Xu, Y Zhang, H Ding - Scientific Reports, 2025 - nature.com
Fatigue driving is one of the potential factors threatening road safety, and monitoring drivers'
mental state through electroencephalography (EEG) can effectively prevent such risks. In …
mental state through electroencephalography (EEG) can effectively prevent such risks. In …
[HTML][HTML] Evaluation of Laplacian Spatial Filter Implementation in Detecting Driver Vigilance Using Linear Classifier.
Maintaining a high level of safety awareness among drivers is essential to ensure the safe
operation of automated vehicles (AVs). Many factors can influence the model's performance …
operation of automated vehicles (AVs). Many factors can influence the model's performance …
Driver Drowsiness Detection Using EEG and EOG with an Attention-CNN Framework
Driver drowsiness is a pervasive factor contributing to road accidents worldwide, often
resulting in severe consequences. In this study, we present a pioneering convolutional …
resulting in severe consequences. In this study, we present a pioneering convolutional …
A Multivariate Approach for Drowsiness Detection Using Empirical Fourier Decomposition
In this study, our goal is to investigate the multivariate rhythmic characteristics of
electroencephalogram (EEG) and electrooculogram (EOG) data in adaptive frequency …
electroencephalogram (EEG) and electrooculogram (EOG) data in adaptive frequency …