Advancing human movement evaluation using artificial intelligence. Human movement disorders affect one-third of Australians; however, conventional approaches to assessing joint motion are costly and largely clinic- or laboratory-based. This project aims to combine biomechanical modelling and advanced machine learning to non-invasively produce accurate, low-cost, user-friendly shoulder and elbow joint angle measurements using wearable inertial sensors. The technology will enable a non-expert to o ....Advancing human movement evaluation using artificial intelligence. Human movement disorders affect one-third of Australians; however, conventional approaches to assessing joint motion are costly and largely clinic- or laboratory-based. This project aims to combine biomechanical modelling and advanced machine learning to non-invasively produce accurate, low-cost, user-friendly shoulder and elbow joint angle measurements using wearable inertial sensors. The technology will enable a non-expert to obtain reliable kinematics data in any location. Accurate, wearable motion measurement will benefit next-generation healthcare 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
The grand challenge of predicting human movement energetics. This Project aims to advance our understanding of how the neuromuscular system uses energy during movement by exploring the interplay of different factors that influence movement energetics. The Project will explore different levels of organisation; from how muscle fibres consume energy to how those fibres interact and are subsequently controlled within a complex neuromuscular system. Expected outcomes of this Project will be an improv ....The grand challenge of predicting human movement energetics. This Project aims to advance our understanding of how the neuromuscular system uses energy during movement by exploring the interplay of different factors that influence movement energetics. The Project will explore different levels of organisation; from how muscle fibres consume energy to how those fibres interact and are subsequently controlled within a complex neuromuscular system. Expected outcomes of this Project will be an improved capacity to predict energy expenditure of the vast array of movements that humans perform. This will enable accurate monitoring of human energy expenditure and will provide benefits for individualised exercise prescription, enhancing work productivity or designing devices to augment human performance.Read moreRead less