Contextualizing Tasks in Tele-Rehabilitation Systems for Older People

Nowadays, one of the most important issues in developed countries is the progressive aging of the population. Thus, governments are irrevocably forced to invest more and more money to take care of their citizens. Regarding healthcare, the attention is focused on those aspects derived from the physical and cognitive problems associated to older adults. Fortunately, fields of research, such as Gerontechnology, are showing promising results for improving quality of life of older people. These works have given rise to remarkable advances in tele-rehabilitation due to the appearance of new technologies and a better understanding of users and their diseases. However, to optimize the development process of these new systems and to take into account user’s features and the surrounding environment, existing modeling languages must evolve. Tele-rehabilitation systems cannot behave in the same way with every user and under every condition, rather they must be able to adapt themselves to the user needs, according to the condition of the environment. In this work, a context meta-model is presented which allows analysts to specify users’ features, devices and the environment, as well as relevant states for the system. Moreover, the relationship between context and task model is also addressed by a CSRML-based task meta-model.