Making eMaking Accessible for People with Intellectual Disabilities. This interdisciplinary research will create an evidence based eMaking program that empowers people with Intellectual Disabilities. eMaking benefits include collaborative problem solving and employment pathways; however, people with disabilities are often excluded. Through a unique, inclusive, outreach van, strategies to build accessible eMaking will be generated. Project outcomes include replicable, scalable eMaking activities ....Making eMaking Accessible for People with Intellectual Disabilities. This interdisciplinary research will create an evidence based eMaking program that empowers people with Intellectual Disabilities. eMaking benefits include collaborative problem solving and employment pathways; however, people with disabilities are often excluded. Through a unique, inclusive, outreach van, strategies to build accessible eMaking will be generated. Project outcomes include replicable, scalable eMaking activities and toolkits to facilitate Science, Technology, Engineering and Mathematics for all. Project benefits include opportunities for people with Intellectual Disability to participate in meaningful recreational or work-focused eMaking, and changing community attitudes through shared eMaking participation.Read moreRead less
Optimising the spring in your step to enhance footwear design. This project aims to examine how the nervous system adjusts the mechanical function of our feet across a spectrum of speeds, from slow running through to maximal effort sprinting. The proposed research will explore how the nervous system controls the function of the foot to meet the ever-varying demands of locomotion in the real-world. Expected outcomes of this project are to determine if running shoes help or hinder the natural spri ....Optimising the spring in your step to enhance footwear design. This project aims to examine how the nervous system adjusts the mechanical function of our feet across a spectrum of speeds, from slow running through to maximal effort sprinting. The proposed research will explore how the nervous system controls the function of the foot to meet the ever-varying demands of locomotion in the real-world. Expected outcomes of this project are to determine if running shoes help or hinder the natural spring-like function of the foot. It will explain a conceptually novel design allowing shoes to support our feet, whilst harnessing the energetic benefits of the foot's spring-like function. This research has the potential to revolutionise athletic footwear design and has direct implications for enhanced performance in running athletes.Read moreRead less
Enabling Disability? Autonomous Technologies & CaLD persons with disability. Over 1 million disabled Australians are from culturally and linguistically diverse (CaLD) communities, the majority of whom are ineligible for disability and multicultural services. CaLD persons with disability significantly rely on digital information systems, devices and platforms to secure their economic, social and cultural inclusion. Evidence to date documents the continual exclusionary impact of artificial intelli ....Enabling Disability? Autonomous Technologies & CaLD persons with disability. Over 1 million disabled Australians are from culturally and linguistically diverse (CaLD) communities, the majority of whom are ineligible for disability and multicultural services. CaLD persons with disability significantly rely on digital information systems, devices and platforms to secure their economic, social and cultural inclusion. Evidence to date documents the continual exclusionary impact of artificial intelligence (AI) behind such technologies in addition to its inaccessibility to complex end-users. Yet, AI is now central to socio-economic well being and inclusion. In partnership with community and industry, this project will inform future AI developments and policy increasing its adaptability, accessibility and affordability.
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Machine Learning for Fracture Risk Assessment from Simple Radiography. This project aims to develop a novel, reliable, low-cost system to detect poor bone health and assess fracture risk to help to prevent and manage osteoporosis-related fractures. Currently, osteoporosis-related fractures cost our health system millions of dollars annually and costs are increasing with our ageing population. Early detection of poor bone health will improve the effectiveness of preventive measures and ease this ....Machine Learning for Fracture Risk Assessment from Simple Radiography. This project aims to develop a novel, reliable, low-cost system to detect poor bone health and assess fracture risk to help to prevent and manage osteoporosis-related fractures. Currently, osteoporosis-related fractures cost our health system millions of dollars annually and costs are increasing with our ageing population. Early detection of poor bone health will improve the effectiveness of preventive measures and ease this burden. Current methods include unreliable, crude clinical and visual guides that suggest osteoporosis screening. The project plans to develop a novel system by applying machine learning algorithms to radiology data which is commonly captured for diagnosing other conditions.Read moreRead less