Prediction Model of Alcohol Intoxication from Facial Temperature Dynamics Based on K-Means Clustering Driven by Evolutionary Computing

Prediction Model of Alcohol Intoxication from Facial Temperature Dynamics Based on K-Means Clustering Driven by Evolutionary Computing

Alcohol intoxication is a significant phenomenon, affecting many social areas, including work procedures or car driving. Alcohol causes certain side effects including changing the facial thermal distribution, which may enable the contactless identification and classification of alcohol-intoxicated p...

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Bibliographic Details
Main Authors: Jan Kubicek, Dominik Vilimek, Alice Krestanova, Marek Penhaker, Eva Kotalova, Bastien Faure-Brac, Clément Noel, Radomir Scurek, Martin Augustynek, Martin Cerny, Tomas Kantor
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Symmetry
Subjects:
image segmentation
IR image
evolutionary optimization
ABC
alcohol intoxication
features tracking
Online Access:https://www.mdpi.com/2073-8994/11/8/995

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https://www.mdpi.com/2073-8994/11/8/995

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