Abstract
Availability of datasets generated by Intelligent Environments for the testing of new approaches may be limited due to constraints including time, space, and money. The use of simulated Intelligent Environments offers a method of creating datasets with maximum control and minimal costs and constraints. Such datasets facilitate the testing of novel approaches to areas such as activity recognition and ambient assisted living. IE Sim is a flexible feature-rich approach that supports graphical interactive construction and simulation of virtual Intelligent Environments This paper discusses the key features of IE Sim and discusses the results of a software evaluation performed by 21 international researchers with an interest in such datasets. Results from the evaluation rated IE Sim highly in terms of ease of use and usefulness in research and identified key requirements for future developments.
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Synnott, J., Chen, L., Nugent, C., Moore, G. (2012). IE Sim – A Flexible Tool for the Simulation of Data Generated within Intelligent Environments. In: Paternò, F., de Ruyter, B., Markopoulos, P., Santoro, C., van Loenen, E., Luyten, K. (eds) Ambient Intelligence. AmI 2012. Lecture Notes in Computer Science, vol 7683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34898-3_29
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DOI: https://doi.org/10.1007/978-3-642-34898-3_29
Publisher Name: Springer, Berlin, Heidelberg
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