Big data fusion for eHealth and Ambient Assisted Living Cloud Applications

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 ca...

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Bibliographic Details
Published in2015 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom) pp. 102 - 106
Main Authors Suciu, George, Vulpe, Alexandru, Craciunescu, Razvan, Butca, Cristina, Suciu, Victor
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2015
Subjects
ambient assisted living
big data
cloud
Clouds
Conferences
data fusion
eHealth
Monitoring
Software
Temperature measurement
Temperature sensors
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Summary: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.
DOI:10.1109/BlackSeaCom.2015.7185095