ID3RSNet: cross-subject driver drowsiness detection from raw single-channel EEG with an interpretable residual shrinkage network

ID3RSNet: cross-subject driver drowsiness detection from raw single-channel EEG with an interpretable residual shrinkage network

Accurate monitoring of drowsy driving through electroencephalography (EEG) can effectively reduce traffic accidents. Developing a calibration-free drowsiness detection system with single-channel EEG alone is very challenging due to the non-stationarity of EEG signals, the heterogeneity among differe...

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Bibliographic Details
Main Authors: Xiao Feng, Zhongyuan Guo, Sam Kwong
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Neuroscience
Subjects:
single-channel EEG
drowsiness detection
residual shrinkage network
attention
interpretability
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2024.1508747/full
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