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

30 May 2021

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

4 / 4 papers shown

Title
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
Studying Drowsiness Detection Performance while Driving through Scalable Machine Learning Models using Electroencephalography José Manuel Hidalgo Rogel Enrique Tomás Martínez Beltrán Mario Quiles Pérez Sergio López Bernal Gregorio Martínez Pérez Alberto Huertas Celdrán 21 9 0 08 Sep 2022
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 Jian Cui Zirui Lan O. Sourina W. Müller-Wittig 27 102 0 30 May 2021