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Integrating 3D Animated Characters with Adaptative Tests

机译:将3D动画角色与自适应测试相集成

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In this paper we present a 3D animated character developed with Blender that evaluates the knowledge of a user in a particular subject using an adaptive test. The avatar was built with the Game Engine of Blender and Python. Our adaptive test is based on XML as data manager and CLIPS as inference engine. Both are connected with a new library in Python that we had to develop for this purpose. Some characteristic of our project include: a) mesh deformation in real time (dynamic creation and edition of IpoCurves in Game Engine), b) Interaction with external applications to Blender (such as CLIPS) using pipes, c) use of threads for concurrent execution of tasks, d) use of Text to Speech.
机译:在本文中,我们介绍了使用Blender开发的3D动画角色,该角色使用自适应测试来评估特定主题中用户的知识。该头像是使用Blender和Python的游戏引擎构建的。我们的自适应测试基于XML作为数据管理器以及CLIPS作为推理引擎。两者都与我们为此目的必须开发的Python新库相关联。我们项目的某些特征包括:a)实时进行网格变形(在Game Engine中动态创建和编辑IpoCurves版本),b)使用管道与Blender的外部应用程序(例如CLIPS)进行交互,c)使用线程进行并发执行d)使用文字转语音。

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