Deep Convolution Neural Network-Based Feature Learning Model for EEG Based Driver Alert/Drowsy State Detection

Author:

Nissimagoudar Prabhavathi C.,Nandi Anilkumar V.,Gireesha H. M.

Publisher

Springer International Publishing

Cited by 5 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. Überblick über die Klassifizierung von EEG-Signalen mit maschinellem Lernen und Deep-Learning-Techniken;Fortschritte in der nicht-invasiven biomedizinischen Signalverarbeitung mit ML;2024

2. An EEG Channel Selection Framework for Driver Drowsiness Detection via Interpretability Guidance;2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2023-07-24

3. EEG-Based Driver Performance Estimation Using Deep Learning;ICT Analysis and Applications;2023

4. Review of EEG Signals Classification Using Machine Learning and Deep-Learning Techniques;Advances in Non-Invasive Biomedical Signal Sensing and Processing with Machine Learning;2023

5. Automated Driver Drowsiness Detection from Single-Channel EEG Signals Using Convolutional Neural Networks and Transfer Learning;2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC);2022-10-08

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