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
Discovery Early Career Researcher Award - Grant ID: DE220101249
Funder
Australian Research Council
Funding Amount
$468,582.00
Summary
Fusing wearables and advanced computational models for real world analysis. This project aims to solve a major technological problem: our inability to study human skeletal, muscular, and neural function in the real world. This project expects to, for the first time globally, integrate wearable sensors with neuromusculoskeletal computational models and artificial intelligence, and validate this technology. Expected project outcomes include an integrated system for future commercialisation and new ....Fusing wearables and advanced computational models for real world analysis. This project aims to solve a major technological problem: our inability to study human skeletal, muscular, and neural function in the real world. This project expects to, for the first time globally, integrate wearable sensors with neuromusculoskeletal computational models and artificial intelligence, and validate this technology. Expected project outcomes include an integrated system for future commercialisation and new understanding of how whole-body behavioural choices affect tissue mechanics during daily and sporting activities. Project outcomes should provide significant benefits, such as the ability to escape the laboratory to understand human performance for defence, sport, industrial, and health settings.Read moreRead less