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Automatic Synchronization of Wearable Sensors and Video-Cameras for Ground Truth Annotation – A Practical Approach

Lookup NU author(s): Dr Thomas Ploetz, Nils Hammerla


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The common practice of manual synchronization of body- worn, logging accelerometers and video cameras is imprac- tical for integration into everyday practice for applications such as real-world behavior analysis. We significantly ex- tend an existing technique for automatic cross-modal syn- chronization and evaluate its performance in a realistic ex- perimental setting. Distinctive gestures, captured by a cam- era, are matched with recorded acceleration signal(s) using cross-correlation based time-delay estimation. PCA-based data pre-processing makes the procedure robust against ori- entation mismatches between the marking gesture and the camera plane. We evaluated five different marker gestures and report very promising results for actual use.

Publication metadata

Author(s): Ploetz T, Chen C, Hammerla N, Abowd G

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 16th Annual International Symposium on Wearable Computing (ISWC)

Year of Conference: 2012