2011 | OriginalPaper | Buchkapitel
Benefits of Dynamically Reconfigurable Activity Recognition in Distributed Sensing Environments
verfasst von : Clemens Lombriser, Oliver Amft, Piero Zappi, Luca Benini, Gerhard Tröster
Erschienen in: Activity Recognition in Pervasive Intelligent Environments
Verlag: Atlantis Press
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The automatic detection of complex human activities in daily life using distributed ambient and on-body sensors is still an open research challenge. A key issue is to construct scalable systems that can capture the large diversity and variety of human activities. Dynamic system reconfiguration is a possible solution to adaptively focus on the current scene and thus reduce recognition complexity. In this work, we evaluate potential energy savings and performance gains of dynamic reconfiguration in a case study using 28 sensors recording 78 activities performed within four settings. Our results show that reconfiguration improves recognition performance by up to 11.48 %, while reducing energy consumption when turning off unneeded sensors by 74.8 %. The granularity of reconfiguration trades off recognition performance for energy savings.