ar辅助儿童书籍智能教学和学习土耳其字母

Q1 Computer Science
Ahmed L. Alyousify , Ramadhan J. Mstafa
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引用次数: 6

摘要

增强现实(AR)、虚拟现实(VR)和远程控制设备正在推动对更好的5G基础设施的需求,以支持更快的数据传输。在这项研究中,移动增强现实被强调为一种可行且广泛的解决方案,可以很容易地扩展到数百万最终用户和教育工作者,因为它重量轻,成本低,可以以跨平台的方式实现。低效率的智能设备和通过常规移动网络进行实时交互的高延迟是AR在教育中使用的主要障碍。新的5G蜂窝网络可以通过网络切片、设备对设备通信和移动边缘计算来缓解其中的一些问题。方法在本研究中,我们采用了一种新的技术来解决这些问题。所提出的软件监控印刷书籍上的图像目标,并呈现3D对象和字母模型。此外,该应用程序还考虑语音。一旦检测到图像目标,就会播放字母的声音(语音)和3D表示。土耳其字母的3D模型是通过使用Adobe Photoshop与Unity3D和Vuforia SDK创建的。该应用程序通过使用3D对象模型、3D字母和3D短语(包括字母和声音)来教授土耳其语字母和语音。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AR-assisted children book for smart teaching and learning of Turkish alphabets

Background

Augmented reality (AR), virtual reality (VR), and remote-controlled devices are driving the need for a better 5G infrastructure to support faster data transmission. In this study, mobile AR is emphasized as a viable and widespread solution that can be easily scaled to millions of end-users and educators because it is lightweight and low-cost and can be implemented in a cross-platform manner. Low-efficiency smart devices and high latencies for real-time interactions via regular mobile networks are primary barriers to the use of AR in education. New 5G cellular networks can mitigate some of these issues via network slicing, device-to-device communication, and mobile edge computing.

Methods

In this study, we use a new technology to solve some of these problems. The proposed software monitors image targets on a printed book and renders 3D objects and alphabetic models. In addition, the application considers phonetics. The sound (phonetic) and 3D representation of a letter are played as soon as the image target is detected. 3D models of the Turkish alphabet are created by using Adobe Photoshop with Unity3D and Vuforia SDK.

Results

The proposed application teaches Turkish alphabets and phonetics by using 3D object models, 3D letters, and 3D phrases, including letters and sounds.

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来源期刊
Virtual Reality  Intelligent Hardware
Virtual Reality Intelligent Hardware Computer Science-Computer Graphics and Computer-Aided Design
CiteScore
6.40
自引率
0.00%
发文量
35
审稿时长
12 weeks
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