Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - A fuzzy based verification agent for the Persim human activity simulator in Ambient Intelligent Environments
AU - Elfaham, A.
AU - Hagras, H.
AU - Helal, Sumi
AU - Hossain, S.
AU - Lee, J.W.
AU - Cook, D.
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
KW - Ambient intelligent
KW - Data collection
KW - Data models
KW - Event-driven simulators
KW - High costs
KW - Human activities
KW - Human subjects
KW - Real world data
KW - Real-world
KW - Realistic simulation
KW - Sensory data
KW - Simulated data
KW - Simulation model
KW - Verification agents
KW - Artificial intelligence
KW - Intelligent agents
KW - Simulators
U2 - 10.1109/FUZZY.2010.5584151
DO - 10.1109/FUZZY.2010.5584151
M3 - Conference contribution/Paper
SN - 9781424469192
BT - 2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010
PB - IEEE
ER -