Intelligent training (iTraining) for the human Achilles tendon. The project aims to improve understanding of the mechanical environment of the Achilles tendon. The Achilles tendon plays a crucial role in human motor function and is also a structure that is commonly injured and notoriously difficult to treat. A major barrier to improving Achilles tendon function, preventing tendon injury and enhancing tendon repair is a poor understanding of the mechanical environment of the Achilles tendon durin ....Intelligent training (iTraining) for the human Achilles tendon. The project aims to improve understanding of the mechanical environment of the Achilles tendon. The Achilles tendon plays a crucial role in human motor function and is also a structure that is commonly injured and notoriously difficult to treat. A major barrier to improving Achilles tendon function, preventing tendon injury and enhancing tendon repair is a poor understanding of the mechanical environment of the Achilles tendon during training and rehabilitation. The project aims to develop a better understanding of the loading conditions that optimise tendon metabolism. Based on this, it then intends to develop new technologies to estimate the mechanical behaviour of the human Achilles tendon in real time based on integrated use of wearable technology, and new training guidelines that will optimise human tendon adaptation.Read moreRead less
Non-invasive and safe human-machine interface (HMI) systems . This project aims to establish novel non-invasive human-machine interface systems based on multi-modal sensing and machine learning to intuitively command and control robotic and autonomous systems safely interacting and cooperating with humans. This will be achieved by harnessing the synergies across design optimisation, multi-modal sensing, additive manufacturing, machine learning, and assistive and cooperative robotic devices. Expe ....Non-invasive and safe human-machine interface (HMI) systems . This project aims to establish novel non-invasive human-machine interface systems based on multi-modal sensing and machine learning to intuitively command and control robotic and autonomous systems safely interacting and cooperating with humans. This will be achieved by harnessing the synergies across design optimisation, multi-modal sensing, additive manufacturing, machine learning, and assistive and cooperative robotic devices. Expected outcomes are a novel human-machine interface methodology, a new multi-purpose wearable data glove, and function and application-specific machine learning methods for cutting-edge applications in assistive robotic devices such as a prosthetic hand, advanced manufacturing, construction and agriculture.Read moreRead less