Helal, Sumi and Lee, J.W. and Hossain, S. and Kim, E. and Hagras, H. and Cook, D. (2011) Persim-simulator for human activities in pervasive spaces. In: Intelligent Environments (IE), 2011 7th International Conference on. IEEE, pp. 192-199. ISBN 9781457708305
Full text not available from this repository.Abstract
Activity recognition research relies heavily on test data to verify the modeling technique and the performance of the activity recognition algorithm. But data from real deployments are expensive and time consuming to obtain. And even if cost is not an issue, regulatory limitations on the use of human subjects prohibit the collection of extensive datasets that can test all scenarios, under all circumstances. A powerful and verifiable simulation tool is needed to accelerate research on human activity recognition. We present Persim, an event driven simulator of human activities in pervasive spaces. Persim is capable of capturing elements of space, sensors, behaviors (activities), and their inter-relationships. We focus on presenting the five main use cases for Persim addressing dataset synthesis, reuse and extension of existing datasets, sharing of data and simulation projects, as well as data validation. © 2011 IEEE.