Behavior-Aware Design, Optimization and Information Mining in Wearable Sensing Systems

The proposed methodology is used to design unsupervised data mining techniques to extract information such as frequent or rare events and patterns from collected multi-dimensional time series data of wearable sensing devices, where high level of noise and uncertainty is inherent.