3D Interaction Techniques for Immersive Data Engagement (May or may not run in 2020)

Description

Emerging areas in data science such as augmented and virtual reality and new methods in data complexity reduction offer opportunities to explore highly dimensional and data rich domains and derive new knowledge. This project will explore new forms of immersive interaction techniques that assist researchers in navigating, filtering and understanding large genomics data sets. Initial application areas include agriculture and cancer research.

This project may or may not run in 2020

Goals

Explore existing immersive data platforms/interactions. Develop new AR/VR interaction techniques. Investigate effectiveness of new interaction techniques.

Requirements

• Computer programming
• Computer graphics
• Computer vision
• Machine/deep learning

 

 

This project may or may not run in 2020

Keywords

Explore existing immersive data platforms/interactions. Develop new AR/VR interaction techniques. Investigate effectiveness of new interaction techniques.

Updated:  1 June 2019/Responsible Officer:  Dean, CECS/Page Contact:  CECS Marketing