HIGHLIGHTS
- who: BEEI from the Laboratory LABSI, Faculty of Sciences, Ibn Zohr University have published the research: Bulletin of Electrical Engineering and Informatics, in the Journal: (JOURNAL) of Aug/17,/2022
- what: The aim of this work is to present a dysgraphia detection tool that is quick, reliable, and accurate and only requires digital handwriting as input. The authors can see that the model fits well for both inputs, with a slightly higher loss when only digital handwriting features are used as model input. (a) (b) Regardless of the dataset imbalance, where 78% of the subjects . . .
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