Image-based EEG signal processing for driving fatigue prediction
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8595408/8606727/08606734.pdf?arnumber=8606734
Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Studying Drowsiness Detection Performance While Driving Through Scalable Machine Learning Models Using Electroencephalography;Cognitive Computation;2024-01-11
2. Multi-Head Self-Attention Enhanced Convolutional Neural Network for Driver Fatigue Detection using EEG Signals;2023 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom);2023-12-21
3. Driving fatigue detection based on brain source activity and ARMA model;Medical & Biological Engineering & Computing;2023-12-20
4. EEG-based neural networks approaches for fatigue and drowsiness detection: A survey;Neurocomputing;2023-11
5. T-A-MFFNet: Multi-feature fusion network for EEG analysis and driving fatigue detection based on time domain network and attention network;Computational Biology and Chemistry;2023-06
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