Skill Level Recognition in Writing for Elementary School Students in Thailand Using Image Processing Technology

dc.contributor.authorJarusitratti, Nattwat
dc.contributor.authorLaohakul, Krittatee
dc.contributor.authorAnuntachai, Anuntapat
dc.date.accessioned2026-08-06T10:43:26Z
dc.date.available2026-08-06T10:43:26Z
dc.date.issued2024-01-01
dc.description.abstractIn the current context, the problem of developmental writing difficulties in children is of great importance for school-age children. Diagnosing whether a child has developmental writing difficulties requires the use of writing skills assessments. These assessments are used by professionals to evaluate and diagnose any abnormalities in a child's writing development. However, there are limitations in terms of format, as they often rely on expert physicians for diagnosis. This creates a significant need for human resources. To address this, we have designed a method for scoring based on writing skills assessments, utilizing image processing technology and criteria from existing standards. The scoring criteria include three aspects: article writing position, article format, and copying speed. For article writing position, we find the centroid of the text. Article format is assessed based on the aesthetics of the written article, which should form a parallelogram. Lastly, copying speed is determined by the number of lines visible on the paper, using pixel frequency analysis.
dc.identifier.citationInternational Conference on Control Automation and Systems, 590-595, 2024
dc.identifier.doi10.23919/ICCAS63016.2024.10773088
dc.identifier.issn15987833
dc.identifier.other2-s2.0-85214352773
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/14937
dc.sourceInternational Conference on Control Automation and Systems
dc.subjectExercise: Posture Analysis
dc.subjectImage Processing
dc.titleSkill Level Recognition in Writing for Elementary School Students in Thailand Using Image Processing Technology
dc.typeConference Paper

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