Towards a unified system for multimodal activity spotting
Long-Van Nguyen-Dinh, Alberto Calatroni, Gerhard Tröster · 2014
In the existing multimodal systems for activity recognition, there is no single method to process different sensor modalities at different on-body positions. Moreover, sensor types are often selected and optimized so as to accord with the goal of application. The complexity makes those systems infeasible to be deployed for new settings. This paper proposes a unified system which works with any available wearable sensors placed on user's body to spot activities. Each data stream is treated uniformly through our proposed template matching WarpingLCSS to spot activities. With the uniformity in extracting activity-specific patterns from raw sensor signals, our proposed system is compatible with respect to modalities and body-worn positions.