Browse by author
Lookup NU author(s): Dr Thomas Ploetz, Nils Hammerla
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
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.
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
