Multimodal Acquisition and Analysis of Children Handwriting for the Study of the Efficiency of Their Handwriting Movements: The @MaGma Challenge

Céline Rémi 1 Jimmy Nagau 1 Jean Vaillant 2 Dorville A. 3 Réjean Plamondon 4
1 LAMIA - Laboratoire de Mathématiques Informatique et Applications
2 UAG - Université des Antilles et de la Guyane
3 @comme@apprendre
4 Laboratoire scribens
Abstract : Handwriting is a fundamental skill that each pupil should master for successfully completing his instructions. However, for a certain number of children, after a successful phase of handwriting learning an unexplained rough deterioration of their efficiency on paper is observed during the phase of customization of their handwriting. In this context, our goal is to make a comprehensive study of the evolution and the difficulties of children handwriting learning according to handwriting teaching approaches involved in school. To achieve such a challenge, it is necessary to collect in a secured way and to analyze a large amount of various contextualized online and offline handwritten data produced in real scholar situations by numerous pupils from kindergarten up to middle school. This is the purpose of the ongoing @MaGma project that was defined with the Academic direction of the Guadeloupian Region. In this paper, we specify the problems handled in @Magma and depict the general principles which will have to govern the collaborative infrastructure of acquisition and treatment of children’s writing, based on 2 frameworks: Copilotr@ce and Dekattras. Next, we report the preliminary results of the comparative sigmalognormal and dynamic analysis of a set of children scribbles acquired thanks to this infrastructure.We conclude by deve oping how these first results obtained in a real scholar acquisition context confirm the xperimental results previously obtained in more clinical contexts, pointing out the fact that the Personalized Digital Bodyguard concept and vision is realizable.
Keywords : tactile tablets handwriting features extraction
Document type :
Poster communications
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https://hal.univ-antilles.fr/hal-01952403
Contributor : Celine Remi <>
Submitted on : Wednesday, December 12, 2018 - 10:50:04 AM
Last modification on : Tuesday, September 17, 2019 - 9:39:02 AM

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Céline Rémi, Jimmy Nagau, Jean Vaillant, Dorville A., Réjean Plamondon. Multimodal Acquisition and Analysis of Children Handwriting for the Study of the Efficiency of Their Handwriting Movements: The @MaGma Challenge. ICFHR 2018 The 16th International Conference on Frontiers in Handwriting Recognition, Aug 2018, Niagara Falls, United States. pp.459-464, 2008, Proceedings 2018 16th International Conference on Frontiers in Handwriting Recognition ICFHR 2018. ⟨hal-01952403⟩

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