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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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Submitted on : Tuesday, June 12, 2018 - 4:43:48 AM
Last modification on : Tuesday, September 17, 2019 - 9:39:34 AM

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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. pp.780-783. ⟨hal-01813002⟩

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