MULTIMODAL VISUALIZATION USING AUGMENTED REALITY AND LARGE DISPLAYS

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Butler, E. (2017). MULTIMODAL VISUALIZATION USING AUGMENTED REALITY AND LARGE DISPLAYS. Unc Charlotte Electronic Theses And Dissertations.
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Author

Butler, Erik

Title

MULTIMODAL VISUALIZATION USING AUGMENTED REALITY AND LARGE DISPLAYS

Physical Description

1 online resource (44 pages) : PDF

Date

2017

Degree Granting Institution

University of North Carolina at Charlotte

Abstract

We are living in an age where technology has allowed data collection to encompass every aspect of our day to day lives. With quintillions of bits of data being created daily, we are under constant pressure to advance our supercomputers and machine learning techniques, as we search for answers to questions that we may not have even known to ask yet.However, simply connecting the hidden dots within the data is not enough. We need to be able to represent the connections we find in ways that allow us to derive meaning from them. As we push the boundaries of data processing techniques, we should advance our visual analytic techniques as well. Breakthrough advancements in augmented reality (AR) technology have provided us the opportunity to do just that.In this thesis, I have developed a platform that uses augmented reality to represent data in a way which is more intuitive, and bound by less restrictions. The platform incorporates a multimodal approach, utilizing augmented reality devices (Microsoft’s HoloLens in our case) and several large displays. The platform uses AR technology to display interactive data visualizations corresponding to information on the displays, with the perception that these visualizations exist in the real world. With the world as your rendering space, you gain tremendous scale-ability, dimensionality, and the ability to incorporate any real world object into the scope of your visualization.

Genre

masters theses

Subjects--Topics

Computer science

Degree

M.S.

Subject Area

Computer Science

Advisor(s)

Lu, Aidong

Committee Members

Shaikh, Samira
Wang, Weichao

Degree Note

Thesis (M.S.)--University of North Carolina at Charlotte, 2017.

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Rights Holder Information

Copyright is held by the author unless otherwise indicated.

Identifier

Butler_uncc_0694N_11518

Permalink

http://hdl.handle.net/20.500.13093/etd:466