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What is Handwriting Analysis for Dysgraphia Detection about?
This project aims to develop a method for identifying developmental dysgraphia through handwriting analysis. The researchers collected handwriting data using a digitizing tablet and extracted kinematic parameters related to pressure and tilt patterns. They used a random forest classifier on the normalized data, achieving 96% accuracy in identifying dysgraphia. The parameters could also estimate a child
- Author
- subhajit bose
- Language
- EN