Visualizations of human activities in sensor-enabled ubiquitous environments
Brian J. d’Auriol, Xuan Hung Le, Sungyoung Lee, Young-Koo Lee · 2009
Sensor network ubiquitous environments may generate a lot of data including heterogeneous `raw' sensor data, low-level feature and/or trend data and higher-level context and inferenced information. This paper considers the visualization of such large, heterogeneous and complex integrated information, especially for real-time deployments facilitating rapid understanding leading to decision making. Visualizations are contextually structured according to the newly proposed serviceable visualizations paradigm for service-based and cloud-enabled visualizations. Specific visualizations of human activities are subsequently developed. These visualizations are based on the data provided via a secured WSN-integrated cloud computing for u-Health Care (SC3) architecture that is under development.