An autonomously controlled ankle exoskeleton for gait rehabilitation. This project addresses a critical problem in gait rehabilitation; predicting unstable locomotion and designing interventions to augment limb-joint function. The project will develop an autonomous ankle-foot assistive device to actively increase ground clearance when high-risk foot trajectory is detected. Using wearable sensor data, machine learning algorithms will predict high-risk gait and compute an actuator-induced ankle to ....An autonomously controlled ankle exoskeleton for gait rehabilitation. This project addresses a critical problem in gait rehabilitation; predicting unstable locomotion and designing interventions to augment limb-joint function. The project will develop an autonomous ankle-foot assistive device to actively increase ground clearance when high-risk foot trajectory is detected. Using wearable sensor data, machine learning algorithms will predict high-risk gait and compute an actuator-induced ankle torque to maintain safe foot-ground clearance. A wearable autonomous joint-actuation system will contribute significantly to rehabilitation across a range of gait-impaired populations. The project's scientific and technological innovations will provide the opportunity for future developments in assistive technologies. Read moreRead less
How do past actions and rewards bias goal directed movement? This project aims to identify how different aspects of our past experience affect the accuracy of movements, and study the underlying brain mechanisms. This project will use timing methods and brain recordings to test how the history of movements we have executed in the past, and the rewards associated with those movements, interact to affect subsequent movement execution. The project should advance basic understanding of how the human ....How do past actions and rewards bias goal directed movement? This project aims to identify how different aspects of our past experience affect the accuracy of movements, and study the underlying brain mechanisms. This project will use timing methods and brain recordings to test how the history of movements we have executed in the past, and the rewards associated with those movements, interact to affect subsequent movement execution. The project should advance basic understanding of how the human brain controls movement, and provide theoretical foundations needed to improve the design of human-machine interfaces, and training approaches in industry, rehabilitation and sport.Read moreRead less
The implications of resistance training for the control of movement. Resistance training (or weight lifting) is an essential element of comprehensive rehabilitation programs in a wide range of clinical settings. However, because we know little about how the organization of the nervous system is affected by training with high loads, the consequences of resistance training for our ability to control functional movements are unclear. The ultimate goal of this research is to generate basic knowledge ....The implications of resistance training for the control of movement. Resistance training (or weight lifting) is an essential element of comprehensive rehabilitation programs in a wide range of clinical settings. However, because we know little about how the organization of the nervous system is affected by training with high loads, the consequences of resistance training for our ability to control functional movements are unclear. The ultimate goal of this research is to generate basic knowledge about the impact of resistance training on nervous system function. The research will lead to the design of injury prevention and rehabilitation programs that are maximally effective, and provide a genuine benefit to the community.Read moreRead less
Taking risks with safety gear: Biomechanical and psychological perspectives on risk compensation. This project uniquely combines objective and subjective measures in investigating whether and how people take more risks in the face of safety interventions. Investigating changes in behaviour with safety gear in sport is of benefit because it (a) allows comprehensive measurement of risk-taking behaviour and (b) can result in significant health benefits. These health benefits include reducing sports ....Taking risks with safety gear: Biomechanical and psychological perspectives on risk compensation. This project uniquely combines objective and subjective measures in investigating whether and how people take more risks in the face of safety interventions. Investigating changes in behaviour with safety gear in sport is of benefit because it (a) allows comprehensive measurement of risk-taking behaviour and (b) can result in significant health benefits. These health benefits include reducing sports injuries through improving the efficacy of safety gear, and applications to risk-taking in other health domains, such as patient safety, occupational safety, and transport safety. Through improved methodology, the project should advance international research practice on this controversial topic.Read moreRead less
Understanding influences on physical activity and sedentary behaviour from preschool to preadolescence. While promotion of optimal levels of physical activity and sedentary behaviours during childhood is important for health, much remains unknown in this field. This study will extend an existing cohort of children, recruited at ages three to five years and followed up at six to eight years by reassessing these children at nine to eleven years. Novel additions to the cohort include long term foll ....Understanding influences on physical activity and sedentary behaviour from preschool to preadolescence. While promotion of optimal levels of physical activity and sedentary behaviours during childhood is important for health, much remains unknown in this field. This study will extend an existing cohort of children, recruited at ages three to five years and followed up at six to eight years by reassessing these children at nine to eleven years. Novel additions to the cohort include long term follow-up spanning preschool to preadolescence, application of an ecological framework, and collection of objective neighbourhood data using a Geographical Information System. Findings will provide important information for policy and interventions focused at the individual, family and neighbourhood level, to improve physical activity and sedentary behaviour levels across childhood.Read moreRead less
Structural and neural determinants of stress and strain in human muscle. This project aims to further our understanding of the biomechanical stress and strains experienced by contracting human muscles. Using innovative imaging techniques such as microendoscopy and supersonic shear imaging, we expect to generate new significant evidence on the structural and neural factors that lead to areas of high stress in human muscles. Outcomes of this project include not only a new understanding of muscle d ....Structural and neural determinants of stress and strain in human muscle. This project aims to further our understanding of the biomechanical stress and strains experienced by contracting human muscles. Using innovative imaging techniques such as microendoscopy and supersonic shear imaging, we expect to generate new significant evidence on the structural and neural factors that lead to areas of high stress in human muscles. Outcomes of this project include not only a new understanding of muscle design on multi-scale level, but also of muscle function and adaptation. This should provide significant benefits in better predicting muscle injury and prescribing safe exercise, knowledge that would benefit biomechanical engineers and sport and exercise professionals.Read moreRead less
A common sub-cortical system for human eye and limb control. This project aims to discover how the human brain controls reaching movements via structures and control mechanisms used for rapid eye movements, and for prey capture by lower vertebrates such as fish. Fast and accurate visually-guided movement was crucial for survival long before animals evolved a cerebral cortex, suggesting that basic control systems may be conserved across species. The notion that primitive sub-cortical systems can ....A common sub-cortical system for human eye and limb control. This project aims to discover how the human brain controls reaching movements via structures and control mechanisms used for rapid eye movements, and for prey capture by lower vertebrates such as fish. Fast and accurate visually-guided movement was crucial for survival long before animals evolved a cerebral cortex, suggesting that basic control systems may be conserved across species. The notion that primitive sub-cortical systems can control complex, human limb movements challenges conventional thinking about movement-related brain activity, and has important implications for the design of human-machine interfaces and training protocols in rehabilitation, industry and sport.Read moreRead less
Passive mechanical properties of human muscles. Australia has a strong record in the discipline of biomechanics. The proposed studies will help maintain Australia's standing in the discipline. They will provide fundamental new data on the properties of human muscles and basic insights into muscle growth and adaptation. The data will be used to develop more refined biomechanical models than is currently possible. The studies will also provide training in world-leading research methods for two PhD ....Passive mechanical properties of human muscles. Australia has a strong record in the discipline of biomechanics. The proposed studies will help maintain Australia's standing in the discipline. They will provide fundamental new data on the properties of human muscles and basic insights into muscle growth and adaptation. The data will be used to develop more refined biomechanical models than is currently possible. The studies will also provide training in world-leading research methods for two PhD students and a research associate.Read moreRead less
Robust Data-Driven Control for Safety-Critical Systems. This project aims to develop new approaches to controlling robotic and cyber-physical systems in safety-critical applications. This project expects to generate new knowledge in how to harness the power of machine learning for robot control, while guaranteeing safety and stability at all times. The outcomes of this project will be new algorithms and a deeper understanding of the interplay of data, learning, and models, as well as experimenta ....Robust Data-Driven Control for Safety-Critical Systems. This project aims to develop new approaches to controlling robotic and cyber-physical systems in safety-critical applications. This project expects to generate new knowledge in how to harness the power of machine learning for robot control, while guaranteeing safety and stability at all times. The outcomes of this project will be new algorithms and a deeper understanding of the interplay of data, learning, and models, as well as experimental validation on a surgical robot and a bipedal walking robot. This project will provide significant benefits by dramatically increasing the range of applications in which the power of machine learning can be safely applied to advance the capabilities and uptake of robotics.Read moreRead less
Dynamics of Locomotion: Visualisation in skill acquisition & rehabilitation. How does visual information and attention determine the control and coordination of locomotion? Using large-screen projection of computer graphics and immersive virtual reality, we will examine the influence of visual information on driver training, gait in the elderly, cardiorespiratory control, and the attentional interference of mobile phones on driving. Experiments will be based on principles from dynamical and comp ....Dynamics of Locomotion: Visualisation in skill acquisition & rehabilitation. How does visual information and attention determine the control and coordination of locomotion? Using large-screen projection of computer graphics and immersive virtual reality, we will examine the influence of visual information on driver training, gait in the elderly, cardiorespiratory control, and the attentional interference of mobile phones on driving. Experiments will be based on principles from dynamical and complex systems theory and will inform the design of innovative algorithms for autonomous mobile robots. Expected outcomes include improved road safety, new methods for the rehabilitation of those with gait disorders, and a deeper understanding of the physiological response to virtual exercise.Read moreRead less