Driving fatigue detection based on brain source activity and ARMA model
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Biomedical Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11517-023-02983-z.pdf
Reference70 articles.
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2. Bose R, Wang H, Dragomir A, Thakor N, Bezerianos A, Li J (2019) Regression-based continuous driving fatigue estimation: toward practical implementation. IEEE Trans Cogn Develop Syst. https://doi.org/10.1109/TCDS.2019.2929858
3. Budak U, Bajaj V, Akbulut Y, Atila O, Sengur A (2019) An effective hybrid model for EEG-based drowsiness detection. IEEE Sens J 19(17):7624–7631. https://doi.org/10.1109/JSEN.2019.2917850
4. Chai R, Naik GR, Nguyen TN, Ling SH, Tran Y, Craig A et al (2017) Driver fatigue classification with independent component by entropy rate bound minimization analysis in an EEG-based system. IEEE J Biomed Health Inform 21(3):715–724. https://doi.org/10.1109/JBHI.2016.2532354
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