Literature DB >> 23369774

Development, maturation and learning influence on handwriting kinematics.

Agostino P Accardo1, Mariangela Genna, Michela Borean.   

Abstract

Handwriting is the result of a process in which linguistic, psychomotor and biomechanical factors interact with physical maturation, cognitive development and learning. Digital tablets, which record the writing in real time, allow a kinematic analysis of written trace: the implemented algorithms analyze parameters as length, duration and speed of the components (trace between two pen-lifts) and strokes (trace between two minima of curvilinear velocity). The purpose of this work is to fill, at least for Italy, the lack of normative data on typical handwriting processes. This cross-sectional study will present data on 218 right-handed and Italian mother-tongue students, attending classes from 2nd to 8th grade. They performed specific tasks (tests of writing speed; transcription of a sentence accurately vs. speedily) by a digital tablet. The analysis showed many changes of the considered parameters across the classes, as in the horizontal, curvilinear mean and peak velocities of components and strokes, with higher values in the last years of schooling and a parallel decrease in the number of strokes/letter (improvement of automation). In conclusion, some of these parameters are useful for studying development and learning of writing and their values can be used as references to evaluate samples with different characteristics.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2013        PMID: 23369774     DOI: 10.1016/j.humov.2012.10.004

Source DB:  PubMed          Journal:  Hum Mov Sci        ISSN: 0167-9457            Impact factor:   2.161


  9 in total

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2.  Evaluation of Handwriting Movement Kinematics: From an Ecological to a Magnetic Resonance Environment.

Authors:  Ambra Bisio; Ludovico Pedullà; Laura Bonzano; Piero Ruggeri; Giampaolo Brichetto; Marco Bove
Journal:  Front Hum Neurosci       Date:  2016-09-29       Impact factor: 3.169

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Authors:  Elena Pagliarini; Lisa Scocchia; Mirta Vernice; Marina Zoppello; Umberto Balottin; Sana Bouamama; Maria Teresa Guasti; Natale Stucchi
Journal:  Sci Rep       Date:  2017-07-17       Impact factor: 4.379

4.  Psychological and Physiological Processes in Figure-Tracing Abilities Measured Using a Tablet Computer: A Study with 7 and 9 Years Old Children.

Authors:  Enrico Giammarco; Sergio Di Sano; Tiziana Aureli; Paola Cerratti; Giorgio Fanò-Illic; Tiziana Pietrangelo
Journal:  Front Psychol       Date:  2016-10-18

5.  Psychometric Properties of Screening Questionnaires for Children With Handwriting Issues.

Authors:  Katarína Šafárová; Jiri Mekyska; Vojtěch Zvončák; Zoltán Galáž; Pavlína Francová; Barbora Čechová; Barbora Losenická; Zdeněk Smékal; Tomáš Urbánek; Jana Marie Havigerová; Sara Rosenblum
Journal:  Front Psychol       Date:  2020-01-21

6.  "It Is Not the Robot Who Learns, It Is Me." Treating Severe Dysgraphia Using Child-Robot Interaction.

Authors:  Thomas Gargot; Thibault Asselborn; Ingrid Zammouri; Julie Brunelle; Wafa Johal; Pierre Dillenbourg; Dominique Archambault; Mohamed Chetouani; David Cohen; Salvatore M Anzalone
Journal:  Front Psychiatry       Date:  2021-02-23       Impact factor: 4.157

7.  Learning Handwriting: Factors Affecting Pen-Movement Fluency in Beginning Writers.

Authors:  Camilla L Fitjar; Vibeke Rønneberg; Guido Nottbusch; Mark Torrance
Journal:  Front Psychol       Date:  2021-05-20

8.  Is Handwriting Performance Affected by the Writing Surface? Comparing Preschoolers', Second Graders', and Adults' Writing Performance on a Tablet vs. Paper.

Authors:  Sabrina Gerth; Annegret Klassert; Thomas Dolk; Michael Fliesser; Martin H Fischer; Guido Nottbusch; Julia Festman
Journal:  Front Psychol       Date:  2016-09-12

9.  Extending the Spectrum of Dysgraphia: A Data Driven Strategy to Estimate Handwriting Quality.

Authors:  Thibault Asselborn; Mateo Chapatte; Pierre Dillenbourg
Journal:  Sci Rep       Date:  2020-02-21       Impact factor: 4.379

  9 in total

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