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Extending Embodied Interactions in Mixed Reality Environments

机译:在混合现实环境中扩展体现的互动

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The recent advances in mixed reality (MR) technologies provide a great opportunity to support deployment and use of MR applications for training and education. Users can interact with virtual objects that can help them be more engaged and acquire more information compared to the more traditional approaches. MR devices, such as the Microsoft HoloLens device, use spatial mapping to place virtual objects in the surrounding space and support embodied interaction with those objects. However, some applications may require an extended range of embodied interactions that are beyond the capabilities of the MR device. For instance, interaction with virtual objects using arms, legs, and body almost the same way we interact with physical objects. We describe an approach to extend the functionality of Microsoft HoloLens to support an extended range of embodied interactions in an MR space by using the Microsoft Kinect V2 sensor device. Based on that approach, we developed a system that maps the captured skeletal data from the Kinect device to the HoloLens device coordinate system. We have measured the overall delay of the developed system to evaluate its effect on application responsiveness. The described system is currently being used for the development of a HoloLens application for nurse aide certification in the Commonwealth of Virginia.
机译:混合现实(MR)技术的最新进展为支持MR应用程序在培训和教育中的部署和使用提供了巨大的机会。与更传统的方法相比,用户可以与虚拟对象进行交互,从而可以帮助他们更加参与并获得更多信息。 MR设备(例如Microsoft HoloLens设备)使用空间映射将虚拟对象放置在周围空间中,并支持与这些对象的具体交互。但是,某些应用程序可能需要超出MR设备功能范围的扩展的交互作用。例如,使用手臂,腿部和身体与虚拟对象进行交互的方式几乎与我们与物理对象进行交互的方式相同。我们描述了一种扩展Microsoft HoloLens功能的方法,以通过使用Microsoft Kinect V2传感器设备来支持MR空间中扩展的体现交互。基于该方法,我们开发了一个系统,该系统可将捕获的骨骼数据从Kinect设备映射到HoloLens设备坐标系。我们已经测量了已开发系统的总体延迟,以评估其对应用程序响应能力的影响。所描述的系统当前正用于开发HoloLens应用程序,用于弗吉尼亚州的护士助理认证。

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