Towards an automatic drowsiness detection system by evaluating the alpha band of EEG signals

    Mejdi Ben Dkhil
    Mejdi Ben Dkhil
    Nidhal Chawech
    Nidhal Chawech

    international symposium on applied machine intelligence and informatics, pp. 000371-000376, 2017.

    Cited by: 0|Bibtex|1|

    Abstract:

    In this paper, we present the important role of alpha band for the evaluation of the drowsiness degree. By filtering the alpha band and by using the power spectral density of that same band, our data were analyzed using the percentiles as measures of dispersion. A threshold discriminating the two states was found, which helped to highligh...More
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