Can the Sigma-lognormal Modelling Help to Monitor Child Graphomotor Skill Progress ?

PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE (ICPRAI 2018)(2018)

引用 0|浏览3
暂无评分
摘要
This work deals with the study of the relevance of the use of the Kinematic Theory as a conceptual basis to identify some reliable variables and to define an approach for the monitoring of children's graphomotor progress all over their scholarship from kindergarten up to the stage when they manage cursive handwriting efficiently. It is focused on cursive handwriting of usual isolated words. Its first results underline the capacity of the sigma-lognormal modelling to reproduce movements produced by children at primary school and the interest of the studied variables to contribute to the discrimination between the pupils' scholar grades.
更多
查看译文
关键词
Handwriting learning, primary school, children, Kinematic theory, Sigma-lognormal analysis, fine motor control modelling, graphomotor movement control, monitoring
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要