Proceedings of the Fuzzy System Symposium
23rd Fuzzy System Symposium
Session ID : FE1-3
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A Study on Automatic Generation of Templates for e-learning System Using Evolutionary Computation
*Yuuki Naganawa, Hiroharu Kawanaka, Tsuyoshi Shinogi, Shinji Tsuruoka
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Abstract
Recently, e-Learning system, which is not depended upon place and time for learning, commonly has been used as a great learning method. e-Learning means taking lessons on the computer through the networks, and it can be generally classified into an asynchronous type and a synchronous type. The asynchronous type mainly uses documents and the synchronous type does images and the movies for lessons. Previously, authors proposed a method for taking the appropriate images of written area on the blackboard. In the method, the blackboard is segmentalized into several areas and template matching method is used to acquire the high-resolution images of the written area. It is however, difficult to acquire appropriate rules or search areas for template matching method. This makes decision of template size and matching areas more difficult with high accuracy. This paper, propose the new method to decide the desired templates and matching areas automatically by using Evolutionary Computation. The experiments were conducted to confirm the effectiveness of the proposed method and created templates are discussed.
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© 2007 Japan Society for Fuzzy Theory and Intelligent Informatics
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