Publications

Automatic Event-based Synchronization of Multimodal Data Streams from Wearable and Ambient Sensors

Publication Type Conference Paper
Authors David Bannach, Oliver Amft, Paul Lukowicz
Title Automatic Event-based Synchronization of Multimodal Data Streams from Wearable and Ambient Sensors
Abstract A major challenge in using multi-modal, distributed sensor systems for activity recognition is to maintain a temporal synchronization between individually recorded data streams. A common approach is to use well defined 'synchronization actions' performed by the user to generate, easily identifiable pattern events in all recorded data streams. The events are then used to manually align data streams. This paper proposes an automatic method for this synchronization. We demonstrate that synchronization actions can be automatically identified and used for stream synchronization across widely different sensors such as acceleration, sound, force, and a motion tracking system. We describe fundamental properties and bounds of our event-based synchronization approach. In particular, we show that the event timing relation is transitive for sensor groups with shared members. We analyzed our synchronization approach in three studies. For a large dataset of 5 users and totally 308 data stream minutes we achieved a synchronization error of 0.3 s for more than 80% of the stream.
Date 2009
Proceedings Title EuroSSC 2009: Proceedings of the European Conference on Smart Sensing and Context
Publisher Springer
Volume 5741
Pages 135–148
Series Lecture Note in Computer Science
DOI 10.1007/978-3-642-04471-7_11
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Friedrich-Alexander-Universität Erlangen-Nürnberg