Cognitive Workload Detection from Raw EEG-Signals of Vehicle Driver using Deep Learning

Author:

Almogbel Mohammad A.,Dang Anh H.,Kameyama Wataru

Publisher

IEEE

Cited by 16 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. A review on evaluating mental stress by deep learning using EEG signals;Neural Computing and Applications;2024-05-09

2. Emotion Decoding: An Extensive Examination of Electroencephalogram Signals Using Explainable Machine Learning;2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT);2024-05-02

3. A neuroergonomics approach to investigate the mental workload of drivers in real driving settings;Transportation Research Part F: Traffic Psychology and Behaviour;2024-05

4. Investigating mental workload caused by NDRTs in highly automated driving with deep learning;Traffic Injury Prevention;2024-01-19

5. Assessment of Mental Workload Using a Transformer Network and Two Prefrontal EEG Channels: An Unparameterized Approach;IEEE Transactions on Instrumentation and Measurement;2024

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