Direct Assessment of Alcohol Consumption in Mental State Using Brain Computer Interfaces and Grammatical Evolution

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@Article{Tzimourta:2018:I,
  author =       "Katerina D. Tzimourta and Ioannis Tsoulos and 
                 Thanasis Bilero and Alexandros T. Tzallas and 
                 Markos G. Tsipouras and Nikolaos Giannakeas",
  title =        "Direct Assessment of Alcohol Consumption in Mental
                 State Using Brain Computer Interfaces and Grammatical
                 Evolution",
  journal =      "Inventions",
  year =         "2018",
  volume =       "3",
  number =       "3",
  article_number = "51",
  keywords =     "genetic algorithms, genetic programming",
  ISSN =         "2411-5134",
  URL =          "http://www.mdpi.com/2411-5134/3/3/51",
  DOI =          "doi:10.3390/inventions3030051",
  abstract =     "Alcohol consumption affects the function of the brain
                 and long-term excessive alcohol intake can lead to
                 severe brain disorders. Wearable electroencephalogram
                 (EEG) recording devices combined with Brain Computer
                 Interface (BCI) software may serve as a tool for
                 alcohol-related brain wave assessment. In this paper, a
                 method for mental state assessment from alcohol-related
                 EEG recordings is proposed. EEG recordings are acquired
                 with the Emotiv EPOC+, after consumption of three
                 separate doses of alcohol. Data from the four stages
                 (alcohol-free and three levels of doses) are processed
                 using the OpenViBE platform. Spectral and statistical
                 features are calculated, and Grammatical Evolution is
                 employed for discrimination across four classes.
                 Obtained results in terms of accuracy reached high
                 levels (89.95percent), which renders the proposed
                 approach suitable for direct assessment of the driver's
                 mental state for road safety and accident avoidance in
                 a potential in-vehicle smart system.",
  notes =        "also known as \cite{inventions3030051}",
}

Genetic Programming entries for Katerina D Tzimourta Ioannis G Tsoulos Thanasis Bilero Alexandros T Tzallas Markos G Tsipouras Nikolaos Giannakeas

Citations