Subject matching for cross-subject EEG-based recognition of driver states related to situation awareness

Author:

Li Ruilin,Wang Lipo,Sourina Olga

Funder

National Research Foundation of Singapore

Publisher

Elsevier BV

Subject

General Biochemistry, Genetics and Molecular Biology,Molecular Biology

Cited by 20 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. Domain adaptation for EEG-based, cross-subject epileptic seizure prediction;Frontiers in Neuroinformatics;2024-02-02

2. Ensemble of Randomized Neural Network and Boosted Trees for Eye-Tracking-Based Driver Situation Awareness Recognition and Interpretation;Neural Information Processing;2023-11-16

3. Physiological Indices to Predict Driver Situation Awareness in VR;Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing;2023-10-08

4. A spectral-ensemble deep random vector functional link network for passive brain–computer interface;Expert Systems with Applications;2023-10

5. An enhanced ensemble deep random vector functional link network for driver fatigue recognition;Engineering Applications of Artificial Intelligence;2023-08

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