Innovation Owner
Mr. KRITTATEE LAOHAKUL
Student
Details
This project utilizes image processing technology to classify children's writing skill levels, addressing the reliance on medical experts for diagnosing developmental writing disabilities. The system evaluates writing based on position, format, and speed via a web application.
Currently, the issue of developmental writing disabilities in children is a matter of great importance for school-age children. Diagnosing whether a child has developmental writing disabilities relies on writing skill assessments, which are administered to those seeking diagnosis and evaluated by medical professionals or experts.
However, there are still limitations in the diagnostic process, which depends heavily on expert physicians, leading to a high demand for human resources. To address this, we have developed a method for scoring writing skill assessments using image processing technology, based on existing scoring criteria. Currently, three criteria are used for scoring:
- Writing position
- Article format
- Copying speed
We have also created a web application to make the system more accessible and easier to use.
Objective
To develop a system for classifying children's writing skills, assist relevant personnel in identifying developmental writing disabilities, and foster further research in medical and psychological fields.
- To create a system for classifying children's writing skill levels.
- To enable relevant personnel to utilize the results for further assessment of developmental writing disabilities.
- To facilitate further research and development in the fields of medicine and psychology.