Visualizations of human activities in sensor-enabled ubiquitous environments

Abstract--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 cloudenabled 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.

• Type: Journal
• Year: 2009
• Where: ICUMT
• Authors: Brian J. d'Auriol, Le Xuan Hung, Sungyoung Lee, Young-Koo Lee
• Keywords: Cloudenabled Visualizations, Communications, ICUMT 2009, Serviceable Visualizations Paradigm, Specific Visualizations