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

W. Müller-Wittig

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

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Title
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 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 Jian Cui Liqiang Yuan Zhaoxiang Wang Ruilin Li Tianzi Jiang 180 16 0 12 Feb 2022
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