Mobile sensor-based systems are emerging as promising platforms for healthcare monitoring. An important goal of these systems is to extract physiological information about the subj...
In recent years, mobile elements (MEs) have been proposed as mechanical carriers of data to prolong the lifetime of sensor networks and to overcome network partitioning problem. A...
Many practical data streams are typically composed of several states known as regimes. In this paper, we invoke phase space reconstruction methods from non-linear time series and ...
: Ubiquitous integrated computing makes possible new workflow processes and business models which can meet the challenges from the fast growing digital convergence. An integrated i...
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract a person’s activities and significant plac...