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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

Methods (Methods), 2021
30 May 2021
Jian Cui
Zirui Lan
Yisi Liu
Ruilin Li
Fan Li
O. Sourina
W. Müller-Wittig
ArXiv (abs)PDFHTML

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

9 / 9 papers shown
Masked EEG Modeling for Driving Intention Prediction
Masked EEG Modeling for Driving Intention PredictionIEEE International Joint Conference on Neural Network (IJCNN), 2024
Jinzhao Zhou
Justin Sia
Yiqun Duan
Yu-Cheng Chang
Yu-Kai Wang
Chin-Teng Lin
224
5
0
08 Aug 2024
LDGCN: An Edge-End Lightweight Dual GCN Based on Single-Channel EEG for
  Driver Drowsiness Monitoring
LDGCN: An Edge-End Lightweight Dual GCN Based on Single-Channel EEG for Driver Drowsiness Monitoring
Jingwei Huang
Chuansheng Wang
Jiayan Huang
Haoyi Fan
Antoni Grau
Fuquan Zhang
237
1
0
08 Jul 2024
A New Era in Human Factors Engineering: A Survey of the Applications and
  Prospects of Large Multimodal Models
A New Era in Human Factors Engineering: A Survey of the Applications and Prospects of Large Multimodal Models
Fan Li
Ching-Hung Lee
Su Han
Shanshan Feng
Zhuoxuan Jiang
Zhu Sun
AI4CE
201
9
0
22 May 2024
Explainable artificial intelligence approaches for brain-computer
  interfaces: a review and design space
Explainable artificial intelligence approaches for brain-computer interfaces: a review and design space
Param S. Rajpura
H. Cecotti
Y. Meena
296
23
0
20 Dec 2023
An EEG Channel Selection Framework for Driver Drowsiness Detection via
  Interpretability Guidance
An EEG Channel Selection Framework for Driver Drowsiness Detection via Interpretability GuidanceAnnual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2023
Xin-qiu Zhou
Dahua Lin
Ziyu Jia
Jiaping Xiao
Chenyu Liu
Liming Zhai
Yang Liu
96
7
0
26 Apr 2023
Studying Drowsiness Detection Performance while Driving through Scalable
  Machine Learning Models using Electroencephalography
Studying Drowsiness Detection Performance while Driving through Scalable Machine Learning Models using ElectroencephalographyCognitive Computation (Cogn. Comput.), 2022
José Manuel Hidalgo Rogel
Enrique Tomás Martínez Beltrán
Mario Quiles Pérez
Sergio López Bernal
Gregorio Martínez Pérez
Alberto Huertas Celdrán
247
18
0
08 Sep 2022
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
234
21
0
12 Feb 2022
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 modelInternational Conference on Cyberworlds (CW), 2021
Jian Cui
Zirui Lan
Tianhu Zheng
Yisi Liu
O. Sourina
Lipo P. Wang
W. Müller-Wittig
141
27
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 NetworkIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Jian Cui
Zirui Lan
O. Sourina
W. Müller-Wittig
238
138
0
30 May 2021
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