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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| Author(s) | | Ploetz T, Chen C, Hammerla N, Abowd G |
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| Publication type | | Conference Proceedings (inc. Abstract) |
| Conference Name | | 16th Annual International Symposium on Wearable Computing (ISWC) |
| Conference Location | | Newcastle upon Tyne, UK |
| Year of Conference | | 2012 |
| Date | | 18-22 June 2012 |
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| Full text for this publication is not currently held within this repository. Alternative links are provided below where available. |
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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. |
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