DYSGRAPHIA SCREENING AMONG CHILDREN USING MACHINE LEARNING. DYSGRAPHIA SCREENING

      Аннотация: Dysgraphia is a learning disability that affects a child's ability to write. It can have a number of different causes and can manifest in different ways. Children with dysgraphia may struggle to hold a pencil or pen or to make legible marks on paper. Various machine learning models are developed to screen dysgraphia in children. The model which detects dysgraphia in early stages can be implemented by considering handwriting datasets containing wide range of features which are related to handwriting movement and training the model using an efficient machine learning algorithm.

Ключевые слова: Dysgraphia, Convolutional neural networks, AdaBoost, chart-processed