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Physical Object Interaction in First Responder Mixed Reality Training

机译:急救人员混合现实训练中的物理对象交互

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Virtual Reality (VR) systems can improve the training of first responders and soldiers in multi-domain operations in a number of ways. Realistic simulation of physical objects, however, is challenging. The huge variety of equipment pieces and other objects specialists in first responder units - and in particular CBRN-troops - interact with further increases the effort. In this paper, we present a novel and flexible Mixed Reality (MR) training system for first responders that enables the integration of physical objects by using Augmented Virtuality (AV) and "binary tracking". A Head Mounted Display (HMD) immerses the user in VR, while augmenting the visualization with 3D imagery of real objects, captured by an RGB-D sensor. In addition, a RFID-reader at the user's hand detects the presence or absence (binary response) of certain equipment items. Our proposed MR system fuses this information with data of an inertial motion capture suit to an approximate global object pose and distributes it. Our solution provides a wide range of options for physical object interaction and collaboration in a multi-user MR environment. In addition, we demonstrate the training capabilities of our proposed system with a multi-user training scenario, simulating a CBRN crisis. Results from our technical and quantitative user evaluation with 13 experts in CBRN response from the Austrian Armed Forces (National Defense Academy & Competence Center NBC Defense) indicate strong applicability and user acceptance. Over 80% of the participants found it easy or very easy to interact with physical objects and liked the multi-user training much or very much.
机译:虚拟现实(VR)系统可以通过多种方式改善多领域作战中对第一响应者和士兵的训练。然而,现实中对物理对象的模拟具有挑战性。急救人员中各种设备零件和其他物体专家-尤其是CBRN部队-相互影响,进一步增加了工作量。在本文中,我们为急救人员提供了一种新颖而灵活的混合现实(MR)训练系统,该系统可以通过使用增强虚拟化(AV)和“二进制跟踪”来集成物理对象。头戴式显示器(HMD)使用户沉浸在VR中,同时通过RGB-D传感器捕获的真实物体的3D图像增强可视化效果。此外,用户手边的RFID阅读器会检测某些设备项目的存在或不存在(二进制响应)。我们提出的MR系统将此信息与惯性运动捕获服的数据融合到一个近似的全局对象姿态并进行分布。我们的解决方案为多用户MR环境中的物理对象交互和协作提供了广泛的选择。另外,我们通过模拟CBRN危机,在多用户培训场景中展示了我们提出的系统的培训能力。我们的技术和定量用户评估结果来自奥地利武装部队(国防科学院和能力中心NBC国防部)的13名CBRN响应专家,这些结果表明该方法具有很高的适用性和用户接受度。超过80%的参与者发现与物理对象进行交互非常容易或非常容易,并且非常或非常喜欢多用户培训。

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