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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

International Conference on Cyberworlds (CW), 2021
21 November 2021
Jian Cui
Zirui Lan
Tianhu Zheng
Yisi Liu
O. Sourina
Lipo P. Wang
W. Müller-Wittig
ArXiv (abs)PDFHTML

Papers citing "Subject-Independent Drowsiness Recognition from Single-Channel EEG with an Interpretable CNN-LSTM model"

4 / 4 papers shown
Calibration-Free EEG-based Driver Drowsiness Detection with Online Test-Time Adaptation
Calibration-Free EEG-based Driver Drowsiness Detection with Online Test-Time Adaptation
Geun-Deok Jang
Dong-Kyun Han
Seo-Hyeon Park
Seong-Whan Lee
100
0
0
27 Nov 2025
A Survey on Drowsiness Detection -- Modern Applications and Methods
A Survey on Drowsiness Detection -- Modern Applications and MethodsIEEE Transactions on Intelligent Vehicles (TIV), 2024
Biying Fu
Fadi Boutros
Chin-Teng Lin
Naser Damer
OffRL
193
20
0
23 Aug 2024
Towards Best Practice of Interpreting Deep Learning Models for EEG-based
  Brain Computer Interfaces
Towards Best Practice of Interpreting Deep Learning Models for EEG-based Brain Computer Interfaces
Jian Cui
Liqiang Yuan
Zhaoxiang Wang
Ruilin Li
Tianzi Jiang
184
16
0
12 Feb 2022
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 NetworkIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Jian Cui
Zirui Lan
O. Sourina
W. Müller-Wittig
141
126
0
30 May 2021
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