Research Repository

A fuzzy based verification agent for the Persim human activity simulator in Ambient Intelligent Environments

Elfaham, A and Hagras, H and Helal, S and Hossain, S and Lee, JW and Cook, D (2010) A fuzzy based verification agent for the Persim human activity simulator in Ambient Intelligent Environments. In: UNSPECIFIED, ? - ?.

Full text not available from this repository.


The generation of useful sensory data from real-world deployments of Ambient Intelligent Environments (AIEs) is challenging because of the high cost, significant groundwork and lack of access to human subjects. This situation can be improved by providing efficient simulators that can produce realistic simulation of the data collection from AIEs. One of the main problems for developing AIE simulators lies in the ability to verify how close the simulated data are to the real world data. In this paper, we present a fuzzy based verification agent for Persim - an event driven simulator for human activities in AIEs. The employed fuzzy based verification agent builds a data model that mimics the operation of Persim which allows for the latter's objective and subjective verification. We have conducted the verification on real world data captured from an actual smart apartment deployment. The results show the effectiveness of the fuzzy based verification agent in analyzing and comparing the Persim simulated data with the real world collected data. We also demonstrate how the verification agent is able to pinpoint specific changes to the simulation model to increase the realism of the simulation. © 2010 IEEE.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: 2010 IEEE World Congress on Computational Intelligence, WCCI 2010
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Users 161 not found.
Date Deposited: 10 Jan 2013 16:26
Last Modified: 23 Jan 2019 00:17

Actions (login required)

View Item View Item