Label-Based Alignment Multi-Source Domain Adaptation for Cross-Subject EEG Fatigue Mental State Evaluation

Label-Based Alignment Multi-Source Domain Adaptation for Cross-Subject EEG Fatigue Mental State Evaluation

Accurate detection of driving fatigue is helpful in significantly reducing the rate of road traffic accidents. Electroencephalogram (EEG) based methods are proven to be efficient to evaluate mental fatigue. Due to its high non-linearity, as well as significant individual differences, how to perform...

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Bibliographic Details
Main Authors: Aricò, P. (Author), Babiloni, F. (Author), Borghini, G. (Author), Dai, G. (Author), Di Flumeri, G. (Author), Li, X. (Author), Zeng, H. (Author), Zhang, J. (Author), Zhang, Z. (Author), Zhao, Y. (Author)
Format: Article
Language:English
Published: Frontiers Media S.A. 2021
Subjects:
Article
classifier
cross-subject
driver
electroencephalogram
fatigue mental state
individual differences
label based alignment multisource domain adaptation
label-based alignment
mental fatigue
multi-source domain adaptation
nervous system parameters
online monitoring
process optimization
safety
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