Arab Kids Tutor (AKT) System For Handwriting Stroke Errors Detection
Ahmed El-Sawy, Mohamed Loey, Hazem Mokhtar El-Bakry · International Journal of Technology Enhancements and Emerging Engineering Research · 2016
This paper presents the architecture, components and evaluation of Arab kids tutor (AKT), an intelligent tutor system for learning handwriting Arabic alphabets. Today, children suffer from handwriting difficulty, so tutors hope to get rid of negative impact of traditional learning system. Our system contains an immediate feedback with error detection that can check multiple kinds of handwriting errors and provide an intelligent feedback to our children. Moreover, AKT use freeman chain code and mathematical algorithms to detect order and direction errors. Through the work, we indicate the children level of understanding of learning handwriting character using fuzzy sets. Experimental results indicate that the AKT successfully detect handwriting strokes errors with automatic feedback.