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Open Access Virtual Reality for Sensor Data Visualization and Analysis

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The visualization and analysis of sensor data is an important aspect of geovisualization, and Virtual Reality-related technology is increasingly used in this context. Here we present the results of a student project which supports users in recording data (such as environment temperature, humidity and light intensity) with a Texas Instruments SensorTag® and subsequently visualizing the data on a smartphone using mobile Virtual Reality technology. The project resulted in two different applications, which both employ a 2D component for data localization and recording, as well as a 3D component to explore the data on a smartphone. In this paper, we describe our results and summarize our experiences regarding the creation and usage of such software and mobile VR environments.
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Document Type: Research Article

Publication date: January 28, 2018

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  • For more than 30 years, the Electronic Imaging Symposium has been serving those in the broad community - from academia and industry - who work on imaging science and digital technologies. The breadth of the Symposium covers the entire imaging science ecosystem, from capture (sensors, camera) through image processing (image quality, color and appearance) to how we and our surrogate machines see and interpret images. Applications covered include augmented reality, autonomous vehicles, machine vision, data analysis, digital and mobile photography, security, virtual reality, and human vision. IS&T began sole sponsorship of the meeting in 2016. All papers presented at EIs 20+ conferences are open access.

    Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual paper for details.

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