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Modelling Parkinson's disease using control models

This project aims at developing control models of posture, balance and gait in humans. The models will be used to produce objective measures of movement disorders in patients suffer more...

Supervisor(s): Leong, Philip (Professor), Jin, Craig (Associate Professor), McEwan, Alistair (Professor)

Mapping 2D Images to 3D Shape

The future of personal audio devices relies on the ability to extract 3D ear shape from 2D photographic images using morphable models of ear shape and techniques of multiple view ge more...

Supervisor(s): Jin, Craig (Associate Professor), Leong, Philip (Professor), McEwan, Alistair (Professor)

New technique for studying human brain activity

This project investigates stimulus reconstruction from surface EEG neural activity. Improvements to surface EEG recordings may proceed with the development of skull impedance modell more...

Supervisor(s): Jin, Craig (Associate Professor), Leong, Philip (Professor), McEwan, Alistair (Professor)

Next Generation Audio Coding

Next generation audio coding involves the reproduction of spatial audio at increasing spatial resolution. For example, we would like to be able to extract second-order signals from more...

Supervisor(s): Jin, Craig (Associate Professor), Leong, Philip (Professor), McEwan, Alistair (Professor)

Spherical multi-modal scene analysis

The next generation of webcam is likely to be a multi-modal spherical scene analysis device that improves human-computer interaction. This research project explores how to successfu more...

Supervisor(s): Jin, Craig (Associate Professor), Leong, Philip (Professor), McEwan, Alistair (Professor)

Statistical models of ear shape and ear acoustics

The future of personal audio devices relies on statistical shape analysis of ears and ear acoustics. We have the world’s largest database of head-ear meshes together with ear more...

Supervisor(s): Jin, Craig (Associate Professor), Leong, Philip (Professor), McEwan, Alistair (Professor)

Floating Point FPGA Architectures

This project involves the development of FPGA architectures which are optimised for floating point applications. more...

Supervisor(s): Leong, Philip (Professor), Jin, Craig (Associate Professor), McEwan, Alistair (Professor)

Placement-aware Hardware Description Languages

This project aims to develop hardware description languages for expressing spatially parallel hardware. more...

Supervisor(s): Leong, Philip (Professor), Jin, Craig (Associate Professor), McEwan, Alistair (Professor)

Scalable vision machines

NICTA has established a project with a goal of developing technology to map high level descriptions of computer vision algorithms to heterogeneous parallel hardware architectures. T more...

Supervisor(s): Leong, Philip (Professor), Jin, Craig (Associate Professor), McEwan, Alistair (Professor)

Improving long-term outcomes following lower moror neurone facial nerve paralysis

Communication is one of the main functions of the human face. We interact with others through facial expressions which occur as a reponse to social situations and environmental stim more...

Supervisor(s): Coulson, Susan (Dr)