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A Compact and Interpretable Convolutional Neural Network for
  Cross-Subject Driver Drowsiness Detection from Single-Channel EEG

A Compact and Interpretable Convolutional Neural Network for Cross-Subject Driver Drowsiness Detection from Single-Channel EEG

30 May 2021
Jian Cui
Zirui Lan
Yisi Liu
Ruilin Li
Fan Li
O. Sourina
W. Müller-Wittig
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Papers citing "A Compact and Interpretable Convolutional Neural Network for Cross-Subject Driver Drowsiness Detection from Single-Channel EEG"

3 / 3 papers shown
Title
An EEG Channel Selection Framework for Driver Drowsiness Detection via
  Interpretability Guidance
An EEG Channel Selection Framework for Driver Drowsiness Detection via Interpretability Guidance
Xin-qiu Zhou
Dahua Lin
Ziyu Jia
Jiaping Xiao
Chenyu Liu
Liming Zhai
Yang Liu
8
4
0
26 Apr 2023
Subject-Independent Drowsiness Recognition from Single-Channel EEG with
  an Interpretable CNN-LSTM model
Subject-Independent Drowsiness Recognition from Single-Channel EEG with an Interpretable CNN-LSTM model
Jian Cui
Zirui Lan
Tianhu Zheng
Yisi Liu
O. Sourina
Lipo P. Wang
W. Müller-Wittig
18
16
0
21 Nov 2021
EEG-based Cross-Subject Driver Drowsiness Recognition with an
  Interpretable Convolutional Neural Network
EEG-based Cross-Subject Driver Drowsiness Recognition with an Interpretable Convolutional Neural Network
Jian Cui
Zirui Lan
O. Sourina
W. Müller-Wittig
24
102
0
30 May 2021
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