Technology to Support an Ageing Community - CompanionAble

Prof. Atta Badii (IMSS, University of Reading) presents the work of the European Ambient Assisted Living initiative

Thursday 26 November 2009

18:30 - 20:00

TH 102, Penrhyn Road Campus, Kingston University, Kingston. Location Map (building 8 on  the bottom campus map)


There are widely acknowledged imperatives for helping the elderly live at home (semi)-independently for as long as possible. Without cognitive stimulation support the elderly dementia and depression sufferers can deteriorate rapidly and the carers will face a more demanding task. Both groups are increasingly at the risk of social exclusion.

CompanionAble will provide the synergy of Robotics and Ambient Intelligence technologies and their semantic integration to provide for a care-giver's assistive environment. This will support the cognitive stimulation and therapy management of the care-recipient. This is mediated by a robotic companion (mobile facilitation) working collaboratively with a smart home environment (stationary facilitation).

The distinguishing advantages of the CompanionAble Framework Architecture arise from the objective of graceful, scalable and cost-effective integration. Thus CompanionAble addresses the issues of social inclusion and homecare of persons suffering from chronic cognitive disabilities prevalent among the increasing European older population. A participative and inclusive co-design and scenario validation approach will drive the RTD efforts in CompanionAble; involving care recipients and their close carers as well as the wider stakeholders. This is to ensure end-to-end systemic viability, flexibility, modularity and affordability as well as a focus on overall care support governance and integration with quality of experience issues such as dignity-privacy-security preserving responsibilities fully considered.

CompanionAble will be evaluated at a number of testbeds representing a diverse European user-base as the proving ground for its socio-technical-ethical validation. The collaboration of leading gerontologists, specialist elderly care institutions, industrial and academic RTD partners, including a strong cognitive robotics and smart-house capability makes for an excellent confluence of expertise for this innovative project.

The Speaker:

Atta Badii

(Director, Intelligent Media Systems & Services Research Centre, Hon. Chairman & Research Director, e2e Research Ltd, East of England Telematics Development Trust (EETDT).

Atta Badii is the high spirited director of Intelligent Media Systems & Services Research Centre of University of Reading. He has a multi-disciplinary academic and industrial research experience involving the fields of Distributed Intelligent Systems, Enterprise Application Integration and Knowledge Management. He is also a member of the UK Committee of Information Systems Professors and is co-opted to the Board of UKAIS.

Atta has over twenty years of industrial and academic research experience in Informatics and Computing. His research has tackled challenges in semantic architecting, integration and evaluation of distributed intelligence systems. This work has been supported by the UK DTI-EPSRC as well as the Aerospace and Telecommunications industries. Some of his past projects have involved hybrid Neural Networks and AI-based solutions tackling complex task domains such as real-time computer speech recognition, dynamic AI contingency planning/scheduling representation and control.

Prof. Atta Badii's Presentation (PDF)