Navigation and Interaction in a CAVE through Microsoft Kinect Device Integration

Lauro Victor Ramos Cavadas, J. Oliveira
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Abstract

This work presents the development and validation of a natural interaction method in an immersive CAVE environment. The Microsoft Kinect was used to track the user actions, but only the infrared camera of the device was used, through a gesture recognition model developed by (LEITE, 2015). From such gesture recognition, a nre grammer was defined, as needed for an immersive environment such a the CAVE. Our study shows that the results were satisfactory, specially with regard to the "system usability", which was mentioned by users as something they could get used to use daily.
通过微软Kinect设备集成在洞穴中的导航和交互
这项工作展示了在沉浸式洞穴环境中自然交互方法的开发和验证。使用微软Kinect来跟踪用户的动作,但仅使用该设备的红外摄像头,通过(LEITE, 2015)开发的手势识别模型。从这样的手势识别中,定义了一个新的语法,这是像CAVE这样的沉浸式环境所需要的。我们的研究表明,结果是令人满意的,特别是在“系统可用性”方面,用户提到了他们可以习惯日常使用的东西。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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