Advertisement
Published in:
2011 | OriginalPaper | Chapter
Benefits of Dynamically Reconfigurable Activity Recognition in Distributed Sensing Environments
Authors : Clemens Lombriser, Oliver Amft, Piero Zappi, Luca Benini, Gerhard Tröster
Published in: Activity Recognition in Pervasive Intelligent Environments
Publisher: Atlantis Press
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
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.