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An Approach for Dynamic Personal Monitoring based on Mobile Complex Event Processing

In this paper we present a novel approach for dynamic remote activity monitoring based on mobile complex event processing that has been used in a use case in the eHealth domain. Using complex event processing (CEP) in mobile environment enables a more flexible and efficient processing of personal sensor data and environment data, which are detected by sensors embedded in a mobile device. The main advantages of our approach are: an efficient combination of the mobile and server-side event processing through the semantic event model, optimal usage of mobile resources through dynamic management of mobile event processing and modelling of complex situations by using more expressive knowledge representation formalism. We present the settings for the use case and the results from the preliminary evaluation.