KNX-based sensor monitoring for user activity detection in AAL-environments

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Abstract

We present an approach to monitor user activity by utilizing commercially and readily available home automation technology. Varying user constitutions demand an adaptive system that involves components from several device-families, which are not particularly designed to work together as an entity. We introduce the concept of a modular gateway architecture to meet these challenges. To evaluate our research with field studies, a prototype apartment, that uses largely but not exclusively KNX-based components has been implemented. Within the scope of this paper we focus on the integration of those devices into a larger OSGi-based framework.

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APA

Märker, M., Wolf, S., Scharf, O., Plorin, D., & Teich, T. (2014). KNX-based sensor monitoring for user activity detection in AAL-environments. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8868, 18–25. https://doi.org/10.1007/978-3-319-13105-4_4

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