Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/120468
Título: Comparison Between Two Sigma-Lognormal Extractors with Primary Schools Students Handwriting
Autores/as: Faci, Nadir
Carmona-Duarte, Cristina 
Diaz, Moises 
Ferrer, Miguel A. 
Plamondon, Réjean
Clasificación UNESCO: 3307 Tecnología electrónica
Palabras clave: Children Handwriting
Fine Motor Control
Idelog
Kinematic Analysis
Kinematic Theory Of Human Movements, et al.
Fecha de publicación: 2022
Editor/a: Springer 
Publicación seriada: Lecture Notes in Computer Science 
Conferencia: 20th International Conference of the International Graphonomics Society, (IGS 2021)
Resumen: In this study, we examine the differences between two Sigma-Lognormal extractors. ScriptStudio is used to extract the Sigma-Lognormal parameters based on the velocity, and iDeLog is used for extracting the parameters based on both the velocity and the trajectory. The iDeLog software is tested with and without smoothing the data. Handwriting data are used to compare both types of extractor (algorithm for parameters extraction). The data consist of triangles drawn on a Wacom Cintiq 13HD by healthy children aged between six and thirteen years old. Globally, ScriptStudio Extract the data with the best SNR for the trajectory (SNRt) and the velocity (SNRv). Moreover, it used slightly more lognormals for the reconstruction than iDeLog with smoothing (iDeLog ws), and nearly half of the number of lognormals used in iDeLog without smoothing (iDeLog ns). Finally, iDeLog without smoothing has a better reconstruction of the velocity and the trajectory than iDeLog with smoothing.
URI: http://hdl.handle.net/10553/120468
ISBN: 9783031197444
ISSN: 0302-9743
DOI: 10.1007/978-3-031-19745-1_8
Fuente: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 13424 LNCS, p. 105-113, (Enero 2022)
Colección:Actas de congresos
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