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SAFELab

Title: Services for Assistance and Function Enhancement Lab

Coordinator: Luis Pablo del Árbol Pérez, e-mail: lpap (at) tid.es

Involved countries: Spain, Italy, Greece, Switzerland, Finland

 

Abstract

Network service infrastructures nowadays require more personalization for easy acceptance and social penetration, as citizens are progressively more exigent and technologically savvier. SAFELab specifically focuses on services for promoting the enhancing of personal autonomy of elder citizens, as Europe is affected by a progressive ageing process. SAFELab focus on services to extend quality of life by including smart and intelligent assistive services in their preferred environment. It is difficult to characterize typical profiles of people at preferred environments: as each person has his/her own preferences and specifics, services and configurations should adapt and evolve to fit the user needs and preferences via ubiquitous sensing, external advice and/or specific commands from users or caregivers. This adaptation information may be correlated with existing information on the user to create typical user profiles that can be used by healthcare professionals and assistive technologists to improve the new services, evaluate people condition and evolution and possibly modify the assistive devices at any given place as well as to detect potentially hazardous situations. Furthermore, information can be also used to generate digital libraries for easier configuration convergence and reality based virtual environments where students and system designers can learn from the interaction between people and technology, modify conditions and check their effect in a safe way. SAFELab therefore aims to meet the need for a new generation of user driven assistive devices that should be easily accepted by the people that need them most. To this respect, it will offer a set of assistive services in typical test environments and their interaction with users will be used to fine tune these services, detect the need for new ones, generate meaningful information for target populations and store the most relevant data into digital libraries that can be consulted to adequate services to new environments and to train the next generation of caregivers and technologists on eAssistance.