untitled
<OAI-PMH schemaLocation=http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd>
<responseDate>2018-01-15T18:23:21Z</responseDate>
<request identifier=oai:HAL:hal-01313456v1 verb=GetRecord metadataPrefix=oai_dc>http://api.archives-ouvertes.fr/oai/hal/</request>
<GetRecord>
<record>
<header>
<identifier>oai:HAL:hal-01313456v1</identifier>
<datestamp>2017-12-21</datestamp>
<setSpec>type:ART</setSpec>
<setSpec>subject:stat</setSpec>
<setSpec>collection:UNIV-AG</setSpec>
<setSpec>collection:BNRMI</setSpec>
</header>
<metadata><dc>
<publisher>HAL CCSD</publisher>
<title lang=en>Combining sigma-lognormal modeling and classical features for analyzing graphomotor performances in kindergarten children</title>
<creator>Duval, Thérésa</creator>
<creator>Rémi, Céline</creator>
<creator>Plamondon, Réjean</creator>
<creator>Vaillant, Jean</creator>
<creator>O'Reilly, Christian</creator>
<contributor>Department of Mathematics [Uppsala] ; Uppsala University</contributor>
<contributor>Laboratoire scribens ; Ecole Polytechnique de Montréal (EPM)</contributor>
<contributor>Laboratoire de Mathématiques Informatique et Applications (LAMIA) ; Université des Antilles et de la Guyane (UAG)</contributor>
<description>International audience</description>
<source>ISSN: 0167-9457</source>
<source>Human Movement Science</source>
<publisher>Elsevier</publisher>
<identifier>hal-01313456</identifier>
<identifier>https://hal.archives-ouvertes.fr/hal-01313456</identifier>
<source>https://hal.archives-ouvertes.fr/hal-01313456</source>
<source>Human Movement Science, Elsevier, 2015, pp.183-200</source>
<language>en</language>
<subject>[STAT.AP] Statistics [stat]/Applications [stat.AP]</subject>
<type>info:eu-repo/semantics/article</type>
<type>Journal articles</type>
<date>2015</date>
</dc>
</metadata>
</record>
</GetRecord>
</OAI-PMH>
