Big data fusion for eHealth and Ambient Assisted Living Cloud Applications

Abstract

Senior citizens may suffer from a number of diseases, including but not limited to mild dementia and cognitive disabilities, which require either the institutionalization or the constant support from care-givers. To successfully help the senior citizens, usually a monitoring system is needed that can gather and process data from various sensors about the healthcare condition of the user and environment parameters (noise level, light, humidity and temperature). In this paper we describe a cloud-based approach for monitoring the healthcare condition of senior citizens and the fusion of big data from heterogeneous information flows coming from the sensors. Furthermore, because context understanding is not easily done with a single source of metadata, we analyze metadata available from various online sources, aiming to understand the context of its users, in order to offer them personalized eHealth services.