QUANTUM MATERIALS HAVE THE POTENTIAL TOREVOLUTIONISE PROSTHETICS – QUANTUM TECHNOLOGY SUPERSENSORS Electronic devices are becoming increasingly pervasive in our everyday lives in an ever-increasingly connected world. Utilizing these new ‘smarter’ and multi-functional enviro-friendly Quantum Materials that harness control of quantum conduction mechanisms will enable significant generational advances for simplified and more economically viable sensingsolutions. Control […]

Speaker: Helen Lindner Date and time: December 9, 15:00-16:30 Helen Lindner is a senior lecturer in occupational therapy at Örebro University in Sweden. She has over 14 years of clinical experience working with people who have physical and cognitive impairments. Her PhD project (2013) was to develop a clinical assessment test for upper limb myoelectric […]

TWI Hellas (a fully owned subsidiary of TWI Ltd, UK), in the context of SocketSense project, develops state-of-the-art algorithms based on AI tools, performs model-driven data analysis and builds digital simulation models, in order to design a socket having improved fitness and greater comfort. TWI-Hellas, also has the role of the technical manager of SocketSense […]

The Quantum physics world is an exciting one where seemingly impossible things happen all the time. One of the most perplexing aspects is the movement of electrons through seemingly impenetrable barriers. Harnessing these sub-atomic quantum conduction mechanisms in Quantum Materials in order to drive environmental and societal change through innovation is taking place in the […]

The SocketSense project is halfway through! Dear Colleague, Partner or Supporter Welcome to the third SocketSense newsletter.We are now in the second phase of the project. The work has been focused on the finalization of component design and the technology integration. However, due to various restrictions caused by current COVID-19 pandemics and the worldwide lockdown, […]

The pressure sensors developed in the SocketSense project thus far are in the form of strips consisting of several sensing elements (sensels), an example is shown in Figure 1. Due to hardware limitations, the system can connect up to five sensor strips with eight sensels per strip. It is therefore important to identify which regions […]