Mobile robots, working in conjunction with smart sensors, offer proactive initiative to prompt and support a person wherever they are, offering increased availability, awareness and access, as compared to a static system.
A robot as the interface also has the potential to offer a more social and entertaining interaction experience. The use of voice and gesture recognition, speech synthesis and sensor information from ambient intelligent environments and smart garments, enable a robotic assistive system to offer more natural interactions.
At the BRL, the Robotic Ambient Assisted Living Studio is an in-house facility to develop, test and implement assistive robots and heterogeneous sensor systems in a realistic environment, bringing together our expertise in robotics, human-robot interaction, intelligent learning systems and user-centred design. This helps to ensure real-world applicability of our research.
An Integrated Intelligent Home Environment for the Provision of Health, Nutrition and Mobility Services to Older Adults
We are working with a European team of universities, research institutes, commercial companies and care organisations, on a new type of helper: a robot assistant for older adults. Integrated together with smart garments and vision systems, this social robot works in partnership with them, reminding them about eating, drinking and medicines, offering structure throughout the day, and helping people stay fit by suggesting a variety of activities. The main goal of the MOBISERV project is not only to keep people independent and boost their quality of life, but also to support and empower their social carer, often a partner, in providing care. For more details visit the MOBISERV page.
SAM – Self-help for Anxiety Management
Developed as a mobile app, this app has been designed to help people manage and monitor their anxiety. It is a contribution to the university’s support for the student experience at UWE.
We are currently considering the potential of delivering these self-help services via a mobile robot that can learn and sense a person’s anxiety levels from their physiological data and behaviour in different contexts and environments. For more details visit the SAM page.
According to a population projection by the UK National Statistics Office, the numbers of 65+ will rise to over 16 million in the next 20 years. A recent Department for Business Innovation and Skills Report , states that up to 75% of people above the age of 75 will suffer from chronic disease by 2030. Many people want to stay in their own homes as they age, however lack of adequate support can be a barrier to this. Creative, affordable and pragmatic solutions are needed, and there is potential for intelligent technologies to support independent living in later life.
CASA is a nine-month pilot project funded by the UK's innovation agency, the Technology Strategy Board. The project aims to develop personalised packages of innovative products and services to help people maintain enjoyable, independent lives in later life.
This project will develop a novel secure, multi-application network of shared sensors for use in assisted living, energy efficiency and home security. It will show a platform for: (1) the secure sharing of sensors by multiple services, and (2) local, autonomous processing which eliminates human interaction, enables sensor monitoring and repurposing, and generates actionable data for use by both humans and machines.
Other related projects
- Dr Praminda
Tel: +44 (0) 117 32 83178