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<datestamp>2016-11-02</datestamp>
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<publisher>HAL CCSD</publisher>
<title lang=en>Exploring the Kinematic Dimensions of Kindergarten Children's Scribbles</title>
<creator>Rémi, Céline</creator>
<creator>Vaillant, Jean</creator>
<creator>Plamondon, Rejean</creator>
<creator>Prevost, Lionel</creator>
<creator>Duval, Theresa</creator>
<contributor>Department of Mathematics [Uppsala] ; Uppsala University</contributor>
<contributor>Laboratoire scribens ; Ecole Polytechnique de Montréal (EPM)</contributor>
<description>International audience</description>
<source>17th Biennial Conference of the International Graphonomics Society</source>
<coverage>Pointe-à-Pitre, Guadeloupe</coverage>
<contributor>International Graphonomics Society (IGS)</contributor>
<contributor>Université des Antilles (UAG)</contributor>
<contributor>Céline Rémi</contributor>
<contributor>Lionel Prévost</contributor>
<contributor>Eric Anquetil</contributor>
<identifier>hal-01165910</identifier>
<identifier>https://hal.univ-antilles.fr/hal-01165910</identifier>
<identifier>https://hal.univ-antilles.fr/hal-01165910/document</identifier>
<identifier>https://hal.univ-antilles.fr/hal-01165910/file/IGS_2015_submission_28.pdf</identifier>
<source>https://hal.univ-antilles.fr/hal-01165910</source>
<source>Céline Rémi; Lionel Prévost; Eric Anquetil. 17th Biennial Conference of the International Graphonomics Society, Jun 2015, Pointe-à-Pitre, Guadeloupe. pp.79-82, 2015, Proceedings of IGS'2015 "Drawing, Handwriting Processing Analysis: New Advances and Challenges"</source>
<language>en</language>
<subject lang=en>sigma-lognormal</subject>
<subject lang=en>kinematic dimension</subject>
<subject>[INFO] Computer Science [cs]</subject>
<type>info:eu-repo/semantics/conferenceObject</type>
<type>Conference papers</type>
<description lang=en>This paper deals with the study of the kinematic dimension of scribbling activities executed by kindergarten children aged from 3 to 6 years old from three grades. For this purpose, three sigma-lognormal features, six classical ones and one hybrid feature related to visuo-motor skills are extracted from scribbles realized using five different Type Grib. The statistical analysis of these data illustrates that sigma-lognormal modeling can satisfactorily reconstruct kindergarten children’s scribbles. Moreover, this preliminary study confirms that there are significant differences between grades with respect to six of the features we studied, regardless of the nature of the scribbling movement made by children. These features are related to rapidity, fluidity and precision of linear and curvilinear movements used for scribbling tasks.</description>
<date>2015-06-21</date>
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