Early Career Industry Fellowships - Grant ID: IE230100135
Funder
Australian Research Council
Funding Amount
$448,222.00
Summary
Developing strong, robust and high performing women football players. Women drop out of Australian football at a higher rate than men, often due to concerns about their physical capabilities and performance. Yet, coaches do not prioritise developing physical capacity (eg strength), due to perceived lack of relevance to football. In community Australian football players, this study will identify physical capacity elements relevant for football performance, assess the change across a typical seaso ....Developing strong, robust and high performing women football players. Women drop out of Australian football at a higher rate than men, often due to concerns about their physical capabilities and performance. Yet, coaches do not prioritise developing physical capacity (eg strength), due to perceived lack of relevance to football. In community Australian football players, this study will identify physical capacity elements relevant for football performance, assess the change across a typical season and the influence of gender and age. Combining sport science and engineering, smartphone videos and open-access software will be utilised to develop cost-effective methods to assess tackling skill. Findings will inform better training strategies for women, reducing injury, enhancing retention and physical activity. Read moreRead less
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
Elucidating the mechanics of facet dislocation and fracture in the neck. This project aims to address shortcomings in understanding the mechanics of neck trauma. Understanding the mechanical factors leading to cervical facet dislocation and fracture is necessary to improve injury prevention strategies and their assessment. This project expects to generate new knowledge in the area of spinal injury biomechanics, developing and using new experimental techniques. The project expects to provide know ....Elucidating the mechanics of facet dislocation and fracture in the neck. This project aims to address shortcomings in understanding the mechanics of neck trauma. Understanding the mechanical factors leading to cervical facet dislocation and fracture is necessary to improve injury prevention strategies and their assessment. This project expects to generate new knowledge in the area of spinal injury biomechanics, developing and using new experimental techniques. The project expects to provide knowledge necessary to improve crash test dummy design, associated injury criteria, and computational models, which provide the potential for improved injury prevention measures and methods for assessing existing and new technologies. The anticipated benefits of this project will be significant in reducing the personal and economic burden of spinal injuries.Read moreRead less
Addressing significant product safety knowledge gaps for older Australians . This project addresses significant gaps in contemporary knowledge of consumer product safety risks for older persons, with 25 years since the last Australian product safety research found older persons are at high risk of product-related injury/death. Products have evolved substantially and aged care models have changed in that time. This project generates contemporary knowledge of unsafe products causing injuries/death ....Addressing significant product safety knowledge gaps for older Australians . This project addresses significant gaps in contemporary knowledge of consumer product safety risks for older persons, with 25 years since the last Australian product safety research found older persons are at high risk of product-related injury/death. Products have evolved substantially and aged care models have changed in that time. This project generates contemporary knowledge of unsafe products causing injuries/deaths, risk factors/behaviours, and human rights issues. Outcomes benefiting the Australian community are improved prediction/characterisation of product safety issues for older Australians informing safer product design and use, targetted regulatory responses, ageing-in-place strategies, and creating safer home environments.Read moreRead less
Predictive Biomechanics for Modelling Gait Stability and Falls Prediction. Efficient, adaptive locomotion is critical to our independence, but it is adversely affected by neuromuscular disorders due to trauma, ageing and other impairments that increase the risk of balance loss and falling. This project investigates the extraordinary possibilities of advancing from the traditional laboratory-based, retrospective, gait research paradigm, to real-world gait monitoring using predictive biomechanics. ....Predictive Biomechanics for Modelling Gait Stability and Falls Prediction. Efficient, adaptive locomotion is critical to our independence, but it is adversely affected by neuromuscular disorders due to trauma, ageing and other impairments that increase the risk of balance loss and falling. This project investigates the extraordinary possibilities of advancing from the traditional laboratory-based, retrospective, gait research paradigm, to real-world gait monitoring using predictive biomechanics. By employing artificial intelligence, wearable sensors' data will predict balance loss and alert the user. The outcome will be fundamental knowledge for developing wearable systems to reduce the catastrophic impact of falls, with public health cost savings and improved quality of life for people with restricted mobility.Read moreRead less
Brain-skull interface: discovering the missing piece of head biomechanics. Overall objective of this project is to measure, mathematically describe and implement in software mechanical properties of brain-skull interface – a critical component of current large and sophisticated computational models of the brain and the last missing piece of brain biomechanics knowledge. This will allow increased reliability of comprehensive biomechanical models used to simulate realistic injury and surgery scena ....Brain-skull interface: discovering the missing piece of head biomechanics. Overall objective of this project is to measure, mathematically describe and implement in software mechanical properties of brain-skull interface – a critical component of current large and sophisticated computational models of the brain and the last missing piece of brain biomechanics knowledge. This will allow increased reliability of comprehensive biomechanical models used to simulate realistic injury and surgery scenarios.
The problem is significant and urgent. Every year in Australia, there are over 22,000 cases of traumatic brain injury, some of which could be prevented by better passive and active countermeasures; and over 12,000 neurosurgical procedures that surgical simulation could make more accurate and therefore safer.Read moreRead less
The Safer Scooting Study. E-scooters are a new transport option experiencing rapid uptake, but many people are concerned about their safety. This project aims to provide an understanding of how and why people use e-scooters and how rider behaviour and safety outcomes change with experience. The anticipated goal of this project is to harness the potential benefits of e-scooters as an efficient replacement for short car trips and a way of improving access to public transport, while minimising the ....The Safer Scooting Study. E-scooters are a new transport option experiencing rapid uptake, but many people are concerned about their safety. This project aims to provide an understanding of how and why people use e-scooters and how rider behaviour and safety outcomes change with experience. The anticipated goal of this project is to harness the potential benefits of e-scooters as an efficient replacement for short car trips and a way of improving access to public transport, while minimising the dangers to riders and pedestrians. This knowledge is expected to inform governments at all levels, industry and riders on how to optimise e-scooter design, use and regulation to contribute to improvements in transport, health and environmental outcomes for all Australians.Read moreRead less
Ageing drivers: Cognitive ageing and technology. This project aims to enhance our understanding of whether cognitive changes associated with ageing impacts older drivers' use of emerging vehicle automation and assistive technologies. Through analysis of insurance claims databases, a large consumer survey and a naturalistic driving study, evidence will be obtained on how ageing and cognition interact with assistive technology. Findings will inform older drivers, government policy makers and indus ....Ageing drivers: Cognitive ageing and technology. This project aims to enhance our understanding of whether cognitive changes associated with ageing impacts older drivers' use of emerging vehicle automation and assistive technologies. Through analysis of insurance claims databases, a large consumer survey and a naturalistic driving study, evidence will be obtained on how ageing and cognition interact with assistive technology. Findings will inform older drivers, government policy makers and industry on ageing, cognitive changes and the use of assistive technology in vehicles. This will provide benefits for older drivers by promoting optimal driving which will enhance social engagement as well as safety. Read moreRead less
Visual field impairment and injury: A population-based study. This project aims to link a large-scale ophthalmic database of visual field tests to population-based injury data which includes police-reported crash data, hospitalisation, death and trauma data in people aged over 60 years. The identification of individuals with high risk visual fields will enable the development of targeted interventions at the local, national and international level to prevent injuries due to visual field loss. Si ....Visual field impairment and injury: A population-based study. This project aims to link a large-scale ophthalmic database of visual field tests to population-based injury data which includes police-reported crash data, hospitalisation, death and trauma data in people aged over 60 years. The identification of individuals with high risk visual fields will enable the development of targeted interventions at the local, national and international level to prevent injuries due to visual field loss. Significant benefits include a reduction in the number of injuries and consequent reductions in personal harm and health care demands.Read moreRead less
Improving the performance of Australian social insurance schemes. Applying methods from computational social science, this project aims to develop a novel, multi-level modeling framework to assist transport injury, workplace injury and disability insurance schemes consistently achieve and maintain standards of high performance as recognised by international benchmarks. By creating a virtual laboratory for policy-makers and scheme managers, it expects to generate a comprehensive understanding of ....Improving the performance of Australian social insurance schemes. Applying methods from computational social science, this project aims to develop a novel, multi-level modeling framework to assist transport injury, workplace injury and disability insurance schemes consistently achieve and maintain standards of high performance as recognised by international benchmarks. By creating a virtual laboratory for policy-makers and scheme managers, it expects to generate a comprehensive understanding of mechanisms driving insurance scheme performance, enabling comparison of anticipated outcomes in response to legislative changes, policy changes and management decisions. The project aims to help schemes avoid human and financial failure, benefitting people with injuries and disabilities while reducing scheme costs.Read moreRead less