ISBN: 978-981-11-0008-6 DOI: 10.18178/wcse.2016.06.146
Design of a machine vision applied to educational board game
Abstract— 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.
Index Terms— Automated tutor, educational board game, machine vision, visually impaired children
Carlos Calderon-Cordova, Rodrigo Barba-Guaman, Pablo Quezada-Sarmiento
Department of Computer Science and Electronics, Technical University of Loja, ECUADOR
María Guajala-Michay
Department of Architecture and Arts, Technical University of Loja, ECUADOR
Cite: Carlos Calderon-Cordova, María Guajala-Michay, Rodrigo Barba-Guaman, Pablo Quezada-Sarmiento, "Design of a machine vision applied to educational board game," Proceedings of 2016 6th International Workshop on Computer Science and Engineering, pp. 808-811, Tokyo, 17-19 June, 2016.