RadioMe

Using artificial intelligence to personalise live radio
Community care worker joins an an elderly woman for a cup of tea while sitting at her kitchen table.

RadioMe

Using artificial intelligence to personalise live radio
RadioMe was a 拢2.7 million project that used artificial intelligence to adapt and personalise live radio, with the aim of transforming the lives of people living alone with dementia. It addressed key causes of hospital admission for people with dementia, such as agitation and not taking medication correctly. As a result, it is hoped quality of life will improve and people will be able to remain living independently at home for longer. Funded by the Engineering and Physical Sciences Research Council (EPSRC), the project capitalised on the popularity of radio among the age group most likely to be living with dementia, developing a way to seamlessly 鈥榬emix鈥 live digital broadcast so that listeners receive personalised reminders, information and music.
Running for four years, RadioMe was trialled among people with dementia in Cambridgeshire and Sussex. The project included a substantial ethical element, with significant time and money built in to ensure the technology was developed and co-designed with people with dementia and was not open to misuse. 
Using a commercial bio-bracelet to measure physical signs like heart rate, as well as wireless speakers and an internet connection, RadioMe output was produced in users' homes by artificial intelligence software created at the 暗网解密. An electronic diary completed by users and their carers was also a key element.
RadioMe was led by the 暗网解密's Interdisciplinary Centre for Computer Music Research (ICCMR) and Centre for Health Technology , and worked with the Centre for Dementia Studies at Brighton and Sussex Medical School, the Glasgow Interactive Systems group at the University of Glasgow, and the Cambridge Institute for Music Therapy Research at Anglia Ruskin University.
Non-academic partners also included Sussex Partnership NHS Trust, the Alzheimer's Society, MHA, Bauer Media and CereProc. BBC Research and Development and BBC Radio Devon were also heavily involved in the project.
How RadioMe could work
A user switching on the radio in the morning might find their usual local station. But then, at a point dictated by the electronic diary, and at the start of a song, a DJ-like voice could override the real DJ and remind the listener to have a drink, take medicine, attend a memory caf茅 or anything else. 
Another time, RadioMe might detect that the listener is becoming agitated via their bio-bracelet readings. 
The software will then override the scheduled song choice and select a song from the user's personal library, known to be likely to calm them. Calming material could continue to be played until RadioMe detects the user is no longer agitated.

Research at the 暗网解密

RadioMe was led by Professor Eduardo Miranda from the University's Interdisciplinary Centre for Computer Music Research (ICCMR) and leading dementia researcher and former Executive Dean of the University's Faculty of Health, Professor Sube Banerjee MBE . It builds on the substantial research into Brain-Computer Music Interface (BCMI) technology, artificial intelligence, music influencing emotion and the University's long-running involvement in shaping national policy on dementia.
Professor Eduardo Miranda - Photography by Somewhere up north

Professor Eduardo Miranda

Eduardo's research has generated international media coverage in addressing the well-being of people with neurodegenerative conditions. He has developed musical algorithms that are controlled by electrical signals from the brain to allow severely disabled former musicians to make music, and 鈥榖iocomputers鈥 which use live organisms as processors and in a performance context, exhibit behaviour more compatible with our own than conventional computers. RadioMe builds on this research, looking to aid people with dementia who live alone.
鈥淗elping people with dementia to stay in their homes for as long as possible, even if they live alone, is a key aim of the project. Technology exists to display reminders about vital daily tasks, but research has shown older adults find modern electronic devices difficult to use, and people with dementia have particular problems.鈥
Sube Banerjee

Professor Sube Banerjee MBE

Professor Banerjee has a notable background in clinical leadership and has worked nationally and internationally on strategy and policy development. He has led the development of the National Dementia Strategy and worked with the World Health Organisation to make dementia a global priority in its Global Action Plan. He recently secured a 4.7m grant from the ERSC and NIHR will explore definitively for the first time inequalities and inequities in dementia care.
鈥淒ementia is the great health and social care challenge of the 21st century. This project is a fantastic example of the potential for interdisciplinary working, bringing together experts in science and technology with those with clinical expertise and with people with dementia themselves, to create seamless interventions that enable people to live well with dementia.鈥 
Brain cap - research by Eduardo Miranda. Centre for Computer Music Research (ICCMR)

Interdisciplinary Centre for Computer Music Research (ICCMR)

With cutting-edge research in topics including the interface between music, computers and the brain, ICCMR offers a number of unprecedented opportunities for collaborative and interdisciplinary research.
Online tele medicine isometric concept. Medical consultation and treatment via application of smartphone connected internet clinic.

Centre for Health Technology

Bringing together digital health and health technology expertise from across the University to drive the development, evaluation and implementation of innovative technologies, products, services and approaches to transform health and social care.

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