一个简单的板材弯曲识别增强二维标记响应分析仪

Motoki Miura, Tei Sui
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引用次数: 1

摘要

传统的响应分析仪使用各种学生设备,如点击器和移动设备,这需要额外的充电和管理负担。已经提出了基于基准标记的响应分析来减轻这些负担。基准标记的id和旋转用于识别学生和他们各自的答案。基于标记的方法很简单,但是可传输的数据仅限于ID和旋转。为了提高数据的可移植性,我们引入了一种提取标记片曲线的方法。由于纸张具有弹性,学生可以直观地控制纸张的形状。通过对传统的基准标记识别器进行改进,验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A simple sheet bending recognition for augmenting a two-dimensional marker-based response analyzer
Conventional response analyzers use various student devices such as clickers and mobile devices, which require the additional burdens of charging and managing. Fiducial marker-based response analyzers have been proposed to relieve these burdens. The IDs and rotations of the fiducial markers are used to identify students and their respective answers. The marker-based approach is straightforward, but transferrable data are limited to the ID and the rotations. To enhance the transferrable data, we introduce a method of extracting curves of the marker sheet. Since a paper sheet is flexible, students can control the shape of the sheet intuitively. We have implemented our method by modifying a conventional fiducial marker recognizer and confirmed its effectiveness.
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