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dc.contributor.authorLi, Chung-Sheng
dc.date.accessioned2009-08-23T04:43:59Z
dc.date.accessioned2020-05-25T06:50:20Z-
dc.date.available2009-08-23T04:43:59Z
dc.date.available2020-05-25T06:50:20Z-
dc.date.issued2008-11-10T07:27:04Z
dc.date.submitted2007-01-01
dc.identifier.urihttp://dspace.lib.fcu.edu.tw/handle/2377/10953-
dc.description.abstractActivity monitoring has received increasing attention due to the strong environmental and public health needs as well as the rapid advances in both hardware and software technologies. In this paper, we re-view a number of such activity monitoring scenarios and describe the architecture and implementation of the Epi-SPIRE prototype, which is a novel health activity monitoring system that generates alerts from environ-mental, behavioral, and public health data sources. A model-based approach is used to develop environ-mental, disease and behavior models from multi-modal heterogeneous data sources. This system has been successfully applied to various genuine and simulated environmental events such as wild land fires and dis-eases outbreaks scenarios1.
dc.format.extent8p.
dc.relation.isversionofVol17
dc.relation.isversionofNo4
dc.subjectHealth activity monitoring
dc.subjectEnvironmental activity monitoring
dc.subjectEvent driven architecture
dc.titleActivity Monitoring for Environmental and Public Health Events
分類:Journal of Computers第17卷

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