Much research has focused recently on the development of smart environments and services for human-centered applications for personalized care and improved quality of life. This is especially relevant to support the elderly to lead an active and independent life. Recent efforts exploited the state of art development in the Internet of Things, Smart Sensors grid, Embedded and Wearable systems as well as Cloud Computing to build mathematical models of personal behavior and lifestyle largely driven by big data analytics. In order to overcome the range of challenges associated with the size and heterogeneity of the related data, hardware and software, as well as of the human and social factors involved, a context-aware architecture appropriate for smart environments is needed. This paper describes ACTiVAGE (ACTiVe AGeing sErvices), a conceptual framework for developing Personalized Elderly Care services that leverage big data analytics for context-awareness in smart environments
