Preliminary study of t0 , a sigma-lognormal parameter extracted from young children’s controlled scribbles

Abstract : This work deals with the interest of using the sigma-lognormal model for the analysis of children graphomotricity. The sigma-lognormal paradigm defines a complex movement as an optimal sequential combination of elementary lognormal movements more or less superimposed which are sequentially triggered by the central nervous system. Assuming the validity of this postulate in the case of children’s controlled scribbles, this preliminary work investigates the distribution of the values of the parameter t0 with regard to the lognormal strokes that contribute to the reconstruction of scribbling movements. We consider two types of controlled scribble: the spontaneous and the curvilinear ones. Our exploratory approach shows that, globally and regardless of the scribble type, the values of t0 are mainly concentrated at the beginning of the onset phase of the previous elementary movement, that is at the beginning of the ascending period of its associated lognormal. Moreover, there is a localization prevalence of the t0 values on the contiguous previous elementary movement.
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Claudio De Stefano; Angelo Marcelli 18th Conference of the International Graphonomics Society, IGS2017, Jun 2017, Gaeta, Italy. Graphonomics for e-Citizens: e-Health, e-Society, e-Education Proceedings of the 18th Conference of the International Graphonomics Society, pp.109-113, 2017
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https://hal.archives-ouvertes.fr/hal-01712799
Contributeur : Celine Remi <>
Soumis le : lundi 19 février 2018 - 18:00:14
Dernière modification le : lundi 14 mai 2018 - 13:36:01

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  • HAL Id : hal-01712799, version 1

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Céline Rémi, Jimmy Nagau, Jean Vaillant, Rejean Plamondon. Preliminary study of t0 , a sigma-lognormal parameter extracted from young children’s controlled scribbles. Claudio De Stefano; Angelo Marcelli 18th Conference of the International Graphonomics Society, IGS2017, Jun 2017, Gaeta, Italy. Graphonomics for e-Citizens: e-Health, e-Society, e-Education Proceedings of the 18th Conference of the International Graphonomics Society, pp.109-113, 2017. 〈hal-01712799〉

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