Health Technology Research and Innovation

At the University, we are investigating the development and use of humanoid and companion robots, and other digital devices, such as voice activated assistants, to transform the provision of health and care, from assistive living and health monitoring to cognitive training and social engagement. Enabled by artificial intelligence and machine learning these technologies are able to interact with and respond to people, adapting to their behaviour, emotions and needs to better support their health and wellbeing.

Professor Tony Belpaeme , Professor Emmanuel Ifeachor , Dr Giovanni Masala, Dr Marco Palomino , Dr Swen Gaudl , Professor Wendy Moyle

Our research and innovation on the design, development, evaluation and application of online and mobile digital technologies, products, services and digitally enabled approaches across health, care and wellbeing. From remote monitoring of health conditions and patient self-care management to supporting lifestyle behaviour change and managing appointments we work with NHS, care organisations, businesses and patient groups to deliver digital innovations of relevance to the needs of clinicians, patients and public.

Dr Craig Newman, Professor Arunangsu Chatterjee , Professor Ray Jones , Dr Shirley Atkinson , Professor Nathan Clarke , Professor Jill Shawe

Research at the University of Plymouth into behaviour change and the implementation of technology is central to the successful design, development, validation and adoption of health technologies, from human-computer interaction and patient experience to imagery, motivation and understanding barriers to adoption. Our strengths in this area are reflected in the training of our students in the healthcare professions to be digital health champions.

Professor Jackie Andrade , Professor Jon May , Professor Sara Demain , Professor Rod Sheaff , Professor Katharine Willis , Professor Michael Punt , Dr Alyson Norman , Professor Jill Shawe , Dr Alison Warren , Professor Adrian Taylor , Professor Arunangsu Chatterjee , Professor David Kavanagh

The University is a pioneer in the development of Brain-Computer Music Interfaces (BCMI) to enable people with severe motor-impairment to make music by means of brain signals. We are championing the development innovative intelligent systems that can monitor affective state, and induce specific affective states through music, automatically and adaptively. We are harnessing Artificial Intelligence to adapt and personalise live radio, by seamlessly remixing live digital broadcast, with the aim of transforming life for people living alone with dementia. Listeners will receive personalised reminders, information and music according to monitored behaviour and real-time physiological measurements.

Academic expertise:

Professor Eduardo Miranda , Dr Alexis Kirke , Dr Edward Braund