A digital twin framework for human mobility measurement in the home setting. Mobility is essential to maintain quality of life and healthy ageing, yet we do not have the capability to perform accurate long-term mobility assessments of a person in their home or community. This project will overcome this engineering challenge by developing a user-friendly ‘digital twin’ that combines wearable sensors, 3D mapping and artificial intelligence to predict and visualise real-time human joint motion and ....A digital twin framework for human mobility measurement in the home setting. Mobility is essential to maintain quality of life and healthy ageing, yet we do not have the capability to perform accurate long-term mobility assessments of a person in their home or community. This project will overcome this engineering challenge by developing a user-friendly ‘digital twin’ that combines wearable sensors, 3D mapping and artificial intelligence to predict and visualise real-time human joint motion and mobility in any location. This digital twin framework will benefit next-generation healthcare for older Australians, including telemedicine and remote rehabilitation for isolated communities, performance monitoring of elite athletes and military personnel, and the gaming and film/animation industries.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