World-Class Universal Motion Simulator (UMS)
The UMS is the first haptically-enabled robot-based motion simulator in the world. It is a motion simulator that gives a realistic sense of motion without causing simulator sickness. The UMS allows the subject to experience situations in their entirety including a full range of motion that can be adjusted to suit many forms of training which are not capable in reality.
Human performance measures in interactive virtual training systems
World-leading operations are increasingly relying on modelling and simulation to develop more efficient systems to produce higher quality products and services. Modelling and simulation allows scientists and engineers to better understand 3D and time-dependent phenomena, as well as providing a platform for predicting future behaviour. Virtual training systems using advanced virtual reality technology are important in areas such as aerospace, engineering, medicine and education. This research examines ways to evaluate the efficiency of such technology, while altering technology design to achieve more effective learning outcomes.
Image fusion algorithm and metric duality index
Current image fusion metrics fail to suit all fusion algorithms as some need to be evaluated with specially designed metrics. Using counter examples, this research identifies the compatibility challenges facing image fusion metrics with respect to a certain fusion algorithm.
Colour map and histogram fusion
The main objective of multi-domain image fusion is to incorporate captured information from sensors observing certain phenomena from different viewpoints. This allows the observer to understand the whole situation.
Optimal multi-sensor data fusion
Multi-sensor data fusion refers to the process of combining data from different resources to improve the quality of information and accuracy of measurements. It is used in a range of applications, including smart buildings, bridges and satellites. The main challenge with multi-sensor data fusion is that it is highly dependent on the quality of measurements obtained from each sensor. Since these sensors operate in real environments, there is no guarantee the outputs of the sensors are accurate. This research aims to incorporate the possibility of missing measurements in the data fusion process and obtain the optimal data fusion for systems which have this problem.
Robust filtering for uncertain systems
This research addresses the problem of system modelling when the system under consideration suffers from uncertainties. It also provides the design of a new filter that allows for the optimal filtering of systems under uncertainties without prior knowledge about the uncertainty values.
Robust rapid MRI
Despite the advantages of MRI (Magnetic Resonance Imaging) machines, they come along with problems. The MRI scanning process is time-consuming and sensitive to movements, which may cause the patient having to repeat the scan. This research investigates how to increase the speed of the MRI scanning process using a novel measurement sampling technique. This technique guarantees the minimum number of acquired measurements without compromising the scan quality.
3D sparse-feature model using short-baseline stereo and multiple view registration
This research investigates a method for generating a distinctive object representation offline. IISRI are using short-baseline stereo fundamentals to triangulate highly descriptive object features in multiple pairs of stereo images.
Intelligent 3D programmable surface
Creating a highly programmable surface operating in real-time at a relatively high speed presents many challenges. This research investigates various system designs, modularity, programmability and system control intelligence. Such a system has applications in the field of optical telescopes, product manufacturing, and 3D-screens and billboards for advertising and artwork.
Vox Lumen – motion simulation in dance
As part of Melbourne’s White Night 2015, Vox Lumen: People into Light transformed Federation Square into an interactive world. It involved stunning abstract digital projections, dancer-driven live motion capture, and interactive content that tracked the movement of crowds across Melbourne's biggest night of arts and culture. The event was a combination of live performance and audience interactivity.
The fusion of live performance and technology featured dancer/choreographer Steph Hutchison, who wore IISRI's high-tech Xsens motion capture suit.
This marker-less, full-body suit allows researchers to go mobile, taking a technology that is usually limited to a commercial lab setting into the heart of the city. The inertial-based suit measures the movement of the dancer using an internal gyroscope, so that every movement directly affects the content on the screen.