Can the sigma-lognormal modeling help to monitor Chid’s graphomotor skills ?

Abstract : This work deals with the study of the relevance of the use of the Kinematic Theory as a conceptual basis to identify some reliable variables and to define an approach for the monitoring of children’s graphomotor progress all over their scholarship from kindergarten up to the stage when they manage cursive handwriting efficiently. It is focused on cursive handwriting of usual isolated words. Its first results underline the capacity of the sigma-lognormal modelling to reproduce movements produced by children at primary school and the interest of the studied variables to contribute to the discrimination between the pupils’ scholar grades
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Communication dans un congrès
International Conference on Pattern Recognition and Artifical Intelligence ICPRAI2018, May 2018, Montréal, Canada. Proceedings of the International Conference on Pattern Recognition and Artifical Intelligence, pp.780-783, 2018
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https://hal.archives-ouvertes.fr/hal-01813002
Contributeur : Celine Remi <>
Soumis le : mardi 12 juin 2018 - 04:43:48
Dernière modification le : mercredi 18 juillet 2018 - 20:11:27

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  • HAL Id : hal-01813002, version 1

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Céline Rémi, Jean Vaillant, Jimmy Nagau, Rejean Plamondon. Can the sigma-lognormal modeling help to monitor Chid’s graphomotor skills ?. International Conference on Pattern Recognition and Artifical Intelligence ICPRAI2018, May 2018, Montréal, Canada. Proceedings of the International Conference on Pattern Recognition and Artifical Intelligence, pp.780-783, 2018. 〈hal-01813002〉

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