Alcohol consumption detection through behavioural analysis using intelligent systems

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• 作者：Audrey Robinel ; Didier Puzenat
• 关键词：Instrumentation ; Automated behavioural analysis ; Blood alcohol content ; Intelligent systems ; Human computer interface ; Artificial neural networks
• 刊名：Expert Systems with Applications
• 出版年：April, 2014
• 年：2014
• 卷：41
• 期：5
• 页码：2574-2581
• 全文大小：859 K

文摘

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鈥檚 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.