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从手绘数据中提取动态特征,以识别有书写困难的儿童。

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

机构信息

Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Skudai, Johor, Malaysia.

出版信息

Res Dev Disabil. 2010 Jan-Feb;31(1):256-62. doi: 10.1016/j.ridd.2009.09.009. Epub 2009 Oct 24.

DOI:10.1016/j.ridd.2009.09.009
PMID:19854613
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.

摘要

研究表明,有书写困难和无书写困难儿童之间的差异不仅存在于书写产物(静态数据)中,而且存在于书写过程的动态数据中。由于书写系统在国家和个体之间存在差异,因此本研究旨在确定使用儿童绘画的定量结果测量来识别有书写困难风险的儿童的可行性。对一所普通小学的 143 名一年级学生进行了书写能力调查。将儿童分为两组:实验组和对照组。实验组的 10 名儿童和对照组的 40 名儿童分别进行视觉运动整合技能的个体测试。对动态数据的分析表明,两组在绘画任务表现的时间和空间测量方面存在显著差异。因此,儿童绘画的运动学分析是可行的,可以提供书写能力的表现特征,支持其在手写困难筛查中的应用。

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