Recognition of user activity sequences using distributed event detection

Publication Type Conference Paper
Authors Oliver Amft, Clemens Lombriser, Thomas Stiefmeier, Gerhard Tröster
Title Recognition of user activity sequences using distributed event detection
Abstract We describe and evaluate a distributed architecture for the online recognition of user activity sequences. In a lower layer, simple heterogeneous atomic activities were recognised on multiple on-body and environmental sensor-detector nodes. The atomic activities were grouped in detection events, depending on the detector location. In a second layer, the recognition of composite activities was performed by an integrator. The approach minimises network communication by local activity aggregation at the detector nodes and transforms the temporal activity sequence into a spatial representation for simplified composite recognition. Metrics for a general description of the architecture are presented. We evaluated the architecture in a worker assembly scenario using 12 sensor-detector nodes. An overall recall and precision of 77% and 79% was achieved for 11 different composite activities. The architecture can be scaled in the number of sensor-detectors, activity events and sequences while being adequately quantified by the presented metrics.
Date October 2007
Proceedings Title EuroSSC 2007: Proceedings of the 2nd European Conference on Smart Sensing and Context
Publisher Springer
Volume 4793
Pages 126–141
Series Lecture Notes in Computer Science
DOI 10.1007/978-3-540-75696-5_8
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Friedrich-Alexander-Universität Erlangen-Nürnberg