How do mechanics, neural drive and muscle architecture interact in muscles? This project will determine how an individual person’s muscle activity, muscle structure and mechanical properties, and the local mechanical conditions around the muscle interact as muscles move and deform, by using experiments and personalised computational models that can examine these factors and their interactions concurrently. To achieve this, we will develop novel magnetic resonance imaging methods to measure the m ....How do mechanics, neural drive and muscle architecture interact in muscles? This project will determine how an individual person’s muscle activity, muscle structure and mechanical properties, and the local mechanical conditions around the muscle interact as muscles move and deform, by using experiments and personalised computational models that can examine these factors and their interactions concurrently. To achieve this, we will develop novel magnetic resonance imaging methods to measure the mechanical properties of muscles in humans and methods for modelling muscles. As well as answering fundamental scientific questions about muscle function, these new techniques will provide a platform for studying other muscles, and for future development of muscle training methods and technologies to optimise muscle function.Read moreRead less
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