Alcohol consumption detection through behavioural analysis using intelligent systems

Authors:
Audrey Robinel;Didier Puzenat
Affiliations:
-;-
Venue:
Expert Systems with Applications: An International Journal
Year:
2014

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Abstract

We describe in this paper a new methodology for blood alcohol content (BAC) estimation of a subject. Rather than using external devices to determine the BAC value of a subject, we perform a behaviour analysis of this subject using intelligent systems. We monitor the user's actions in an ordinary task and label those data to various measured BAC values. The obtained data-set is then used to train learning systems to detect alcoholic consumption and perform BAC estimation. We obtain good results on a mono-user base, and lower results with multiple users. We improve the results by combining multiple classifiers and regression algorithms.