基于增强现实技术的程序化疏散路线实现

M. E. Perdomo, María José Fuentes, Dennis Roberto Banegas
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引用次数: 0

摘要

使用Unity 2020与Vuforia一起创建了一个基于AR的二级应用程序,用于一般机构疏散。它的功能包括作为物理表征的标记,手机可以识别这些标记来引导用户。设计了不同图案的标记,使其具有唯一性,从而使应用程序能够正确识别。实施的目的是分析预定的一般疏散中RA的整合,即不使用应用程序和使用应用程序的疏散时间的比较。在此基础上,制定疏散计划,确定疏散时间、疏散人员、疏散标志的位置、疏散时间的收集。疏散完成后,采用双样本t检验、Dunnett比较、多元回归分析等方法进行统计分析。结果是,在有很多人的疏散中,在使用应用程序和不使用应用程序的疏散时间之间没有统计学差异。在实施过程中观察到的影响疏散时间的一些方面是每个用户手机的处理能力、照明、触发位置和用户的行走速度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation of Evacuation Routes with Augmented Reality in a Programmed Evacuation
An AR second level-based application for general institutional evacuations was created with Unity 2020 in conjunction with Vuforia. Its function consisted of markers that serve as physical representations that mobile phones can identify to guide the user. The markers were designed with different patterns to be unique and thus be correctly recognized by the application. The objective of the implementation was to analyze the integration of RA in a scheduled general evacuation, namely, the comparison of evacuation times without application use and with application use. Based on the above, the evacuation was planned to define time, personnel, location of the markers, and time collection. Once the evacuation was completed, the statistical analysis was carried out using two sample T-tests, Dunnett's comparison, multiple regression analysis, and others. The result was that in an evacuation with many people, there was no statistical difference in the times between an evacuation with the use of the application and without the use of the application. Some of the aspects observed during the implementation that affected the evacuation time werethe processing capacity of each user's cell phone, the lighting, the trigger position, and the user's walking speed.
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