Enabling Cloud-Based and Personalized Sensors in Assisted Living Environments

Enabling Cloud-Based and Personalized Sensors in Assisted Living Environments

Martin Franke (Technische Universität Dresden, Dresden, Germany), Ingo Keller (Technische Universität Dresden, Dresden, Germany) and Thomas Schlegel (Technische Universität Dresden, Dresden, Germany)
DOI: 10.4018/ijoci.2014100101
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Abstract

In this work, the authors combine the field of cloud computing with assisted living to improve activity classification. The proposed system addresses the challenge of enabling heterogeneous, cloud-based sensors in domestic environments. With a semantic and model-based approach, the authors seamlessly integrate web services as virtual sensors and, therefore, increasing the accuracy of human activity classifiers. They solve the most important compelling issue of interoperability, by using generated wrapper classes and semantically unify all heterogeneous sensor events within the system. Their approach is evaluated with a test installation by means of the requirements for Sensor Web Infrastructures combined with the one for assisted living environments.
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2. State Of The Art

We identified multiple approaches related to our work, classifying activities in assisted living environments as well as enabling virtual, cloud-based sensors as a global sensor web. However, none of these approaches combine both fields.

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