A Composite Methodology for Supporting Early-Detection of Handwriting Dysgraphia via Big Data Analysis Techniques-Reference-Cited by-同舟云学术

A Composite Methodology for Supporting Early-Detection of Handwriting Dysgraphia via Big Data Analysis Techniques

Published:2017-05-28 Issue: Volume: Page:241-253
ISSN:2190-3018
Container-title:Intelligent Interactive Multimedia Systems and Services 2017
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Author:

D’Antrassi Pierluigi,Perrone Iolanda,Cuzzocrea Alfredo,Accardo Agostino

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-59480-4_25

Reference50 articles.

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3. Rubin, N., Henderson, S.E.: Two sides of the same coin: variation in teaching methods and failure to learn to write. Spec. Educ. Forw. Trends 9, 17–24 (1982)

4. Smits-Engelsman, B.C., Niemeijer, A.S., Van Galen, G.P.: Fine motor deficiencies in children diagnosed as DCD on poor grapho-motor ability. Hum. Mov. Sci. 20, 161–182 (2001)

5. Karlsdottir, R., Stefansson, T.: Problems in developing functional handwriting. Percept. Mot. Skills 94, 623–662 (2002)

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