An EEG-Based Transfer Learning Method for Cross-Subject Fatigue Mental State Prediction

An EEG-Based Transfer Learning Method for Cross-Subject Fatigue Mental State Prediction

Fatigued driving is one of the main causes of traffic accidents. The electroencephalogram (EEG)-based mental state analysis method is an effective and objective way of detecting fatigue. However, as EEG shows significant differences across subjects, effectively “transfering” the EEG analysis model o...

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Bibliographic Details
Main Authors: Hong Zeng, Xiufeng Li, Gianluca Borghini, Yue Zhao, Pietro Aricò, Gianluca Di Flumeri, Nicolina Sciaraffa, Wael Zakaria, Wanzeng Kong, Fabio Babiloni
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Sensors
Subjects:
cross-subject prediction
Domain-Adversarial Neural Network (DANN)
electroencephalogram (EEG)
Generative Adversarial Networks (GAN)
Online Access:https://www.mdpi.com/1424-8220/21/7/2369

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