Toumpalidis, I;
Cheliotis, K;
Roumpani, F;
Hudson-Smith, A;
(2018)
VR binoculars: An immersive visualization framework for IoT data streams.
In:
Proceedings of the IEEE Living in the Internet of Things: Cybersecurity of the IoT - 2018.
(pp. pp. 1-7).
IEEE
Preview |
Text
Cheliotis_VR binoculars. An immersive visualization framework for IoT data streams_AAM.pdf - Accepted Version Download (2MB) | Preview |
Abstract
Every day we find ourselves moving through a blend of material spaces and immaterial networks. This invisible layer created from the millions of the data streams and network connections that take place around us tends to get denser with the recent development and deployment of the IoT devices in the urban space. In our work we aim to explore how the available technology of Mixed Reality spectrum can be applied to provide us an immerse view of the information that exist within the invisible layer of the “cyberspace” [1]. To this extend, we propose “VR Binoculars”, a digital visualization framework that operates in real time.The available Virtual (VR), Augmented (AR), and Mixed Reality (MR) technology is used as a medium to unveil the information that exist in our surrounding space. Specifically, we situate the user within an environment where the digital data visualizations and the physical space are matched together, providing to the user the ability to interact, orient themselves and navigate naturally.For us the proposed framework it is able to promote a better understanding of the IoT ecosystem, it can justify the use of sensors in the public space, and it can raise awareness about privacy and data sharing. Using different urban environments as test cases (indoor, outdoor) we present our methodology and our first results.
Type: | Proceedings paper |
---|---|
Title: | VR binoculars: An immersive visualization framework for IoT data streams |
Event: | Living in the Internet of Things: Cybersecurity of the IoT - 2018 |
Location: | London, UK |
Dates: | 28th-29th March 2018 |
ISBN-13: | 978-1-78561-843-7 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1049/cp.2018.0039 |
Publisher version: | https://doi.org/10.1049/cp.2018.0039 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | augmented reality, data visualisation, Internet of Things, virtual reality |
UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Centre for Advanced Spatial Analysis |
URI: | https://discovery.ucl.ac.uk/id/eprint/10067497 |
Archive Staff Only
View Item |