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Extraction of dynamic features from hand drawn data for the identification of children with handwriting difficulty

Khalid, Puspa Inayat and Yunus, Jasmy and Adnan, Robiah (2010) Extraction of dynamic features from hand drawn data for the identification of children with handwriting difficulty. Research in Developmental Disabilities , 31 (1). 256 -262. ISSN 0891-4222

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Official URL: http://dx.doi.org/10.1016/j.ridd.2009.09.009

Abstract

Studies have shown that differences between children with and without handwriting difficulties lie not only in the written product (static data) but also in dynamic data of handwriting process. Since writing system varies among countries and individuals, this study was conducted to determine the feasibility of using quantitative outcome measures of children's drawing to identify children who are at risk of handwriting difficulties. A sample of 143 first graders of a normal primary school was investigated regarding their handwriting ability. The children were divided into two groups: test and control. Ten children from test group and 40 children from control group were individually tested for their Visual Motor Integration skills. Analysis on dynamic data indicated significant differences between the two groups in temporal and spatial measures of the drawing task performance. Thus, kinematic analysis of children's drawing is feasible to provide performance characteristic of handwriting ability, supporting its use in screening for handwriting difficulty.

Item Type:Article
Uncontrolled Keywords:handwriting difficulty, dynamic features, visual motor skills, school-age children, computer analysis
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:26152
Deposited By: Liza Porijo
Deposited On:27 Jun 2012 08:35
Last Modified:24 Aug 2014 08:47

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