Drowsiness detection system using deep learning based data fusion approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17096-w.pdf
Reference22 articles.
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2. Lal SKL, Craig A (2001) A critical review of the psychophysiology of driver fatigue. Biol Psychol 55(3):173–194. https://doi.org/10.1016/s0301-0511(00)00085-5
3. Lal SKL, Craig A (2001) Electroencephalography activity associated with driver fatigue: implications for a fatigue countermeasure device. J Psychophysiol 15(3):183–189. https://doi.org/10.1027/0269-8803.15.3.183
4. Lin FC, Ko LW, Chuang CH, Su TP, Lin CT (2012) Generalized EEG-Based drowsiness prediction system by using a Self-Organizing neural fuzzy system. IEEE Trans Circuits Syst I Regul Pap 59(9):2044–2055. https://doi.org/10.1109/tcsi.2012.2185290
5. Lin C-T, Li-Wei K (2013) EEG-based learning system for online motion sickness level estimation in a dynamic vehicle environment. IEEE Trans Neural Netw Learn Syst 24(10):1689–1700. https://doi.org/10.1109/tnnls.2013.2275003
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