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The common practice of manual synchronization of body-worn, logging accelerometers and video cameras is impractical for integration into everyday practice for applications such as real-world behavior analysis. We significantly extend an existing technique for automatic cross-modal synchronization and evaluate its performance in a realistic experimental setting. Distinctive gestures, captured by a camera, are matched with recorded acceleration signal(s) using cross-correlation based time-delay estimation. PCA-based data pre-processing makes the procedure robust against orientation mismatches between the marking gesture and the camera plane. We evaluated five different marker gestures and report very promising results for actual use.
Plötz et al. (Fri,) studied this question.