Although sleep and wake can be easily distinguished by using EEG, how to detect a drowsy state before subject falls asleep is of more importance in avoiding fatal consequences in accidents behind steering wheel caused by low level vigilance. Starting with the classical problem of difference between wake and sleep, we propose a method based on probabilistic principle component analysis (PPCA) and succeed in detecting drowsiness distinguished from wake and sleep based on EEG.
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Fu, JW., Li, M., Lu*, BL. (2008). Detecting Drowsiness in Driving Simulation Based on EEG. In: Mahr, B., Huanye, S. (eds) Autonomous Systems – Self-Organization, Management, and Control. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-8889-6_3
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DOI: https://doi.org/10.1007/978-1-4020-8889-6_3
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