untitled
<OAI-PMH schemaLocation=http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd>
<responseDate>2018-01-15T18:34:25Z</responseDate>
<request identifier=oai:HAL:hal-00850138v1 verb=GetRecord metadataPrefix=oai_dc>http://api.archives-ouvertes.fr/oai/hal/</request>
<GetRecord>
<record>
<header>
<identifier>oai:HAL:hal-00850138v1</identifier>
<datestamp>2017-12-21</datestamp>
<setSpec>type:COMM</setSpec>
<setSpec>subject:info</setSpec>
<setSpec>collection:UNIV-AG</setSpec>
<setSpec>collection:BNRMI</setSpec>
</header>
<metadata><dc>
<publisher>HAL CCSD</publisher>
<title lang=en>Multi-User Blood Alcohol Content Estimation in a Realistic Simulator using Artificial Neural Networks and Support Vector Machines</title>
<creator>Robinel, Audrey</creator>
<creator>Puzenat, Didier</creator>
<contributor>Laboratoire de Mathématiques Informatique et Applications (LAMIA) ; Université des Antilles et de la Guyane (UAG)</contributor>
<contributor>Groupe de Recherche en Informatique et Mathématiques Appliquées Antilles-Guyane (GRIMAAG) ; Université des Antilles et de la Guyane (UAG)</contributor>
<description>International audience</description>
<source>ESANN 2013 proccedings,European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning</source>
<source>ESANN 2013, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning</source>
<coverage>Bruges, Belgium</coverage>
<identifier>hal-00850138</identifier>
<identifier>https://hal.archives-ouvertes.fr/hal-00850138</identifier>
<source>https://hal.archives-ouvertes.fr/hal-00850138</source>
<source>ESANN 2013, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2013, Bruges, Belgium. pp.431-436, 2013</source>
<language>en</language>
<subject lang=en>Blood Alcohol Content</subject>
<subject lang=en>Driving</subject>
<subject lang=en>Artificial Neural Networks</subject>
<subject lang=en>Support Vector Machines</subject>
<subject lang=en>Machine Learning</subject>
<subject lang=en>Multi-User</subject>
<subject lang=en>behavioural analysis</subject>
<subject lang=en>Realistic simulator</subject>
<subject>[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]</subject>
<type>info:eu-repo/semantics/conferenceObject</type>
<type>Conference papers</type>
<description lang=en>We instrumented a realistic car simulator to extract low level data related to the driver's use of the vehicle controls. After proceeding these data, we generated features that were fed to a Multi-Layer Perceptron (MLP) and Support Vector Machines (SVM). Our goal was determine if the driver's Blood Alcohol Content (BAC) was over $0.4g.l^{-1}$ or not, and even estimate the BAC value. Our device process the vehicle's controls data and then outputs the user BAC. We discuss the results of the prototype using the MLP and SVM algorithms in both single-user and multi-user context for detection of drunk drivers and estimation of the BAC value. The prototype performed better with single user base than with multi-user, and provided comparable results with MLP and SVM.</description>
<date>2013-04-24</date>
</dc>
</metadata>
</record>
</GetRecord>
</OAI-PMH>
