Sitting Less And Moving More: Population Health Research To Understand And Influence Sedentary Behaviour
Funder
National Health and Medical Research Council
Funding Amount
$6,367,518.00
Summary
The majority of Australian adults spend most of their waking hours sitting: at home, at work, and in their cars; most do not participate in exercise or sport. This leads to weight gain and to diseases of inactivity (particularly diabetes, heart disease, cancer and depression). New research will measure sitting time and the physical activity in people's daily lives, what factors encourage inactivity, and how to increase activity levels, especially among the ageing 'baby boomer' population.
TELEPHONE COUNSELLING FOR MAINTENANCE OF PHYSICAL ACTIVITY, WEIGHT LOSS And GLYCAEMIC CONTROL IN TYPE 2 DIABETES
Funder
National Health and Medical Research Council
Funding Amount
$1,285,894.00
Summary
Regular exercise, a healthy diet and weight loss are key to managing type 2 diabetes, yet these are major challenges for most people with diabetes. This study will evaluate the impact of a telephone counselling program to assist people with type 2 diabetes to exercise, eat a healthy diet and lose weight, with the goal of helping them to sustain these changes over the long-term. It is expected that these lifestyle changes will also result in improved blood glucose control and quality of life.
A Multi-setting Intervention To Reduce Sedentary Behaviour, Promote Physical Activity And Improve Childrens Health
Funder
National Health and Medical Research Council
Funding Amount
$860,343.00
Summary
Sedentary behaviours and physical inactivity play a major role in the rising prevalence of obesity among children in Australia. This intervention study will take place in the school and family settings which play a critical role in shaping children's health behaviours. The objective is to determine whether a 2-year behavioural intervention reduces sedentary behaviour and promotes physical activity and results in improved health among 8-9 year old children.
A Novel Automatic Neural Network Feature Extractor. This project aims to study feature extraction abilities of convolutional as well as traditional neural networks and develop a generic feature extractor which can be applied to wide variety of real-world image and non-image data. New concepts for automatic feature extraction, feature explanation, hybrid evolutionary algorithms and non-iterative ensemble learning will be introduced and evaluated. The expected outcomes are a generic feature extrac ....A Novel Automatic Neural Network Feature Extractor. This project aims to study feature extraction abilities of convolutional as well as traditional neural networks and develop a generic feature extractor which can be applied to wide variety of real-world image and non-image data. New concepts for automatic feature extraction, feature explanation, hybrid evolutionary algorithms and non-iterative ensemble learning will be introduced and evaluated. The expected outcomes are a generic feature extractor for automatically extracting features, an optimiser for finding optimal parameters and non-iterative ensemble learning technique for classification of features into classes. The impact of this project will be automatic feature extractors and classifiers for real-world applications.Read moreRead less
Two-way Auslan: Automatic Machine Translation of Australian Sign Language. This project aims to develop an automatic two-way machine-translation system between Auslan (Australian Sign Language) and English by researching and leveraging advanced computer vision and machine learning technology. The project expects to advance research in AI technology on topics including visual recognition, language processing and deep learning. This will boost Australia's national research capacity and global com ....Two-way Auslan: Automatic Machine Translation of Australian Sign Language. This project aims to develop an automatic two-way machine-translation system between Auslan (Australian Sign Language) and English by researching and leveraging advanced computer vision and machine learning technology. The project expects to advance research in AI technology on topics including visual recognition, language processing and deep learning. This will boost Australia's national research capacity and global competitiveness. Expected outcomes of this project will help to break the communication barriers between the Deaf and hearing population. This should provide significant benefits to Deaf communities through enhanced communication and improved quality-of-life, leading to a fair, more inclusive and resilient Australian society.Read moreRead less
ARC Centre of Excellence for Integrative Brain Function. The Centre of Excellence for Integrative Brain Function will address one of the greatest scientific challenges of the 21st century to understand how the brain works. We will investigate complex functions such as attention, prediction and decision-making, which require the coordination of information processing by many areas of the brain. This will require a highly collaborative approach involving neurobiologists, cognitive scientists, eng ....ARC Centre of Excellence for Integrative Brain Function. The Centre of Excellence for Integrative Brain Function will address one of the greatest scientific challenges of the 21st century to understand how the brain works. We will investigate complex functions such as attention, prediction and decision-making, which require the coordination of information processing by many areas of the brain. This will require a highly collaborative approach involving neurobiologists, cognitive scientists, engineers and physicists, allowing us to translate our discoveries into novel technologies for the social and economic benefit of all Australians. We will also train a new generation of multidisciplinary researchers, and contribute our expertise to a range of public education and awareness programs.Read moreRead less