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This paper reviews the classification of Electroencephalogram (EEG) signals correlated with alcoholic and nonalcoholic subjects. EEG signals, which record the electrical
activity in the brain, are useful for assessing the current mental
status of a person. Alcohol consumption of people became a
social problem as well as health hazards. Nowadays, more and
more people wanted to travel back and forth to various places,
With increasing of vehicular population and their movements on
the roads, accidents are steadily increasing. Many road accidents
are reported due to the consumption of alcohol by drivers and
driving vehicles. This study investigates about the difference
between drunked and non-drunked peoples brain signal using
Electroencephalogram (EEG). EEG data is used for 20 alcoholic
and 20 non-alcoholic subjects. Support Vector Machines were
used for classifying EEG signals.
