Design of a machine vision applied to educational board game

This paper proposes the architecture and the procedure for the design of a new computer vision based educational board game, which is an automated tutor oriented to special education institutions. For practical demonstration of the proposed system, we applied machine vision to educational board game focused on Braille math operations two-dimensional. The performance evaluation of machine vision based on cross-correlation algorithm obtained a success rate of 94.6 %. The result of this work will serve to implement a tool low-cost, fast and non-intrusive to automate tutoring of educational board games in special education institutions.

• Auteur principal: Quezada Sarmiento, P. (author)
• Autres auteurs: Guajala Michay, M. (author), Calderon Cordova, C. (author), Barba Guaman, L. (author)
• Format: article
• Publié: 2016
• Sujets: Automated tutor; Educational board game; Machine vision; Visually impaired children
• Accès en ligne: http://dspace.utpl.edu.ec/handle/123456789/18816