Title :
Flexible and customizable visualization of data generated within Intelligent Environments
Author :
Synnott, J. ; Chen, Luo-nan ; Nugent, Chris D. ; Moore, G.
Author_Institution :
Sch. of Comput. & Math., Univ. of Ulster, Newtownabbey, UK
fDate :
Aug. 28 2012-Sept. 1 2012
Abstract :
This paper outlines a tool for the visualization of data generated within Intelligent Environments. This tool has been designed with a focus on flexibility and customizability hence facilitating application to a range of areas including institutionalized or home-based healthcare monitoring. Through the use of an object toolbox, non-technical users can rapidly re-create a visual representation (aka a “Scene”) of an intelligent environment and connect this scene to an active data repository. Data generated within the environment can be visualized in real-time, or summarized using a density ring visualization format that can be customized based on user defined rules to highlight events of particular interest. The tool was tested within a smart lab used as an active research environment. Collection of data over a one week period resulted in 3840 sensor activations. Visualization of this dataset illustrates the potential of the tool to highlight normal and abnormal activity trends within the environment.
Keywords :
biology computing; data visualisation; health care; Intelligent Environment; customizable data visualization; data repository; density ring visualization format; flexible data visualization; home based healthcare monitoring; institutionalized healthcare monitoring; object toolbox; smart lab; Data visualization; Market research; Measurement; Medical services; Monitoring; Real-time systems; Visualization; Data Collection; Monitoring, Physiologic;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
DOI :
10.1109/EMBC.2012.6347317