Detecting handwriting errors with visual feedback in early childhood for Chinese characters

Will W W Tang, Hong Va Leong, Grace Ngai, Stephen C F Chan

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

2 Citations (Scopus)


This paper presents KID, an interactive app on a smart device, designed to facilitate and encourage young children to learn and practice Chinese characters. It relies on pen dynamics to extract the strokes and map the written character to the proper one. The stroke orientation is also analyzed for ordering and spatial alignment features that pinpoint common errors. A visual pictorial feedback is then provided to motivate children and to arouse their interest. We iterate the prototype design and implementation upon collecting feedback from focus group interviews, from where the system is greeted with positive comments.
Original languageEnglish
Title of host publicationIDC 2014 - Proceedings of the 2014 Conference on Interaction Design and Children
PublisherAssociation for Computing Machinery
Number of pages4
ISBN (Print)9781450322720
Publication statusPublished - 1 Jan 2014
Event13th International Conference on Interaction Design and Children, IDC 2014 - Aarhus, Denmark
Duration: 17 Jun 201420 Jun 2014


Conference13th International Conference on Interaction Design and Children, IDC 2014


  • Learning to write
  • Pictographic feedback
  • Stroke alignment
  • Stroke analysis

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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