Key result
A cloud-based approach for monitoring senior citizens using big data fusion from heterogeneous sensors and online metadata aims to offer personalized eHealth services.
The paper proposes a cloud-based big data fusion system to monitor senior citizens and provide personalized eHealth services.
Proposed cloud-based monitoring may aid personalized senior eHealth; leaves open prospective validation before clinical adoption.
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.
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Suciu et al. (2015) studied Mild dementia and cognitive disabilities in senior citizens. Cloud-based approach for monitoring and big data fusion was evaluated. A cloud-based approach for monitoring senior citizens using big data fusion from heterogeneous sensors and online metadata aims to offer personalized eHealth services.
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