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