Social prescribing promises to shake up the way we think about healthcare, while digital technologies have transformed the way we live and work. How can the two be used to complement each other, and improve the health and wellbeing of all?
We are developing new technology to provide manual workers with a natural, hands-free, mobile interface to facilitate data capture and retrieval from enterprise information systems.
This project investigated various ways in which low-cost condition monitoring systems, typically used in manufacturing, can be easily repurposed for non-critical IoT-based support in hospital environments.
This project supported stipends, equipment, and mentoring for 8 students to explore IoT projects during the summer for 4 weeks, from 14 June to 9 July 2021. Following on from last year’s very successful student placements, this year we partnered with Barnsley Digital Media Centre to embed our students in Barnsley, exploring IoT product concepts.
In this project, we developed and delivered a series of online training sessions/webinars addressing the most important aspects of digital healthcare development. These sessions were followed by a co-design 'hackathon' at which participants were able to put into practice some of the lessons learned.
The project produced a detailed report of the current skills deficit around IoT and related Fourth Industrial Revolution (4IR) Revolution technologies, as well as an analysis of what skills will be required in the workplace of 2030.
‘IoT for care’ is an emerging field that faces its own specific barriers as well as those common to all IoT domains. This project draws upon experiences of those at the forefront of the field to develop resources and plot a course towards widespread adoption of IoT for care.
Developing an IoT predictive maintenance solution for legacy manufacturing processes to reduce costly manual inspections for SMEs.
Developers are dealing with a vast collection of existing and emerging technology. This project aims to establish a methodology to identify, classify and select technologies compliant with low-cost digital ("Shoestring") Solutions.
This project aims to develop a tool that helps manufacturers determine what types of goods could be more suitable for Internet of Things (IoT) - driven personalisation versus those where human intelligence needs to drive customisation.