Linkage Projects - Grant ID: LP140100995

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/LP140100995

Funding Status
Closed

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Funded Activity Summary

Computational Intelligence for Complex Structured Data. This project aims to use computational intelligence techniques to reliably learn adaptive natural human pointing and gestures to control an interface on a pseudo-3D display. Highly complex data with interconnections between elements is hard to visualise on screens. Most current tools are operated using point/click/drag on 2D screens. The physical technology to capture appropriate human behaviours exists already, but not the adaptive learning of the syntax and semantics of individual gestures and actions, nor the multi-gesture information fusion required for understanding, which could significantly enhance efficiency, for example, in sorting through named entities in an investigation. All of this is done naturally by most human beings, using biological neural networks.

Funded Activity Details

Start Date: 11-06-2015

End Date: 10-06-2020

Funding Scheme: Linkage Projects

Funding Amount: $275,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Neural, Evolutionary and Fuzzy Computation | Human Information Behaviour | Artificial Intelligence and Image Processing | Computer-Human Interaction

ANZSRC Socio-Economic Objective (SEO)

Electronic Information Storage and Retrieval Services |

Other Keywords

Artificial Intelligence and Image Processing | Computer-Human Interaction | Electronic Information Storage and Retrieval Services | Human Information Behaviour | Neural, Evolutionary and Fuzzy Computation

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