An assessment tool for judging the overall appearance of Chinese handwriting based on opinions from occupational therapists

Ka Ki Li, Howard Leung, Sutie Lam, Wai Ping Cecilia Tsang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

6 Citations (Scopus)

Abstract

Children's handwriting performance is a part of concern by parents, teachers and researchers, because learning to write is a major and critical task for children. An assessment tool capable of evaluating students' handwriting automatically can help teachers to provide feedback to students and to find out more objectively the specific problems identified. In this paper, we propose an assessment tool for judging the overall appearance of the student's Chinese handwriting by finding different geometric transformed parameters of a Chinese character with respect to a template character. By cross-validation with a team of occupational therapists who are more experienced in assessment of handwriting performance, it is hoped that a more reliable handwriting evaluation is received. The proposed tool has been integrated into a web-based system for assisting children to write correctly and precisely.
Original languageEnglish
Title of host publicationAdvances in Web Based Learning - ICWL 2007 - 6th International Conference, Revised Papers
Pages288-299
Number of pages12
DOIs
Publication statusPublished - 7 Apr 2008
Event6th International Conference on Advances in Web Based Learning, ICWL 2007 - Edinburgh, United Kingdom
Duration: 15 Aug 200717 Aug 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4823 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Conference on Advances in Web Based Learning, ICWL 2007
Country/TerritoryUnited Kingdom
CityEdinburgh
Period15/08/0717/08/07

Keywords

  • Chinese handwriting education
  • Handwriting analysis
  • Handwriting difficulty
  • Pattern recognition

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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