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Persim-simulator for human activities in pervasive spaces

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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Persim-simulator for human activities in pervasive spaces. / Helal, Sumi; Lee, J.W.; Hossain, S. et al.
Intelligent Environments (IE), 2011 7th International Conference on. IEEE, 2011. p. 192-199.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Helal, S, Lee, JW, Hossain, S, Kim, E, Hagras, H & Cook, D 2011, Persim-simulator for human activities in pervasive spaces. in Intelligent Environments (IE), 2011 7th International Conference on. IEEE, pp. 192-199. https://doi.org/10.1109/IE.2011.34

APA

Helal, S., Lee, J. W., Hossain, S., Kim, E., Hagras, H., & Cook, D. (2011). Persim-simulator for human activities in pervasive spaces. In Intelligent Environments (IE), 2011 7th International Conference on (pp. 192-199). IEEE. https://doi.org/10.1109/IE.2011.34

Vancouver

Helal S, Lee JW, Hossain S, Kim E, Hagras H, Cook D. Persim-simulator for human activities in pervasive spaces. In Intelligent Environments (IE), 2011 7th International Conference on. IEEE. 2011. p. 192-199 doi: 10.1109/IE.2011.34

Author

Helal, Sumi ; Lee, J.W. ; Hossain, S. et al. / Persim-simulator for human activities in pervasive spaces. Intelligent Environments (IE), 2011 7th International Conference on. IEEE, 2011. pp. 192-199

Bibtex

@inproceedings{878f3d766e0946228a2672c0bec456f7,
title = "Persim-simulator for human activities in pervasive spaces",
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. {\textcopyright} 2011 IEEE.",
keywords = "activity recognition algorithms, human activity simulation, Pervasive system simulation, sensory dataset synthesis, simulation model, standard sensory dataset representation, Activity recognition, Data sets, Human activity simulation, Pervasive systems, Simulation model, Algorithms, Computer simulation, Intelligent agents",
author = "Sumi Helal and J.W. Lee and S. Hossain and E. Kim and H. Hagras and D. Cook",
year = "2011",
doi = "10.1109/IE.2011.34",
language = "English",
isbn = "9781457708305",
pages = "192--199",
booktitle = "Intelligent Environments (IE), 2011 7th International Conference on",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Persim-simulator for human activities in pervasive spaces

AU - Helal, Sumi

AU - Lee, J.W.

AU - Hossain, S.

AU - Kim, E.

AU - Hagras, H.

AU - Cook, D.

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

KW - activity recognition algorithms

KW - human activity simulation

KW - Pervasive system simulation

KW - sensory dataset synthesis

KW - simulation model

KW - standard sensory dataset representation

KW - Activity recognition

KW - Data sets

KW - Human activity simulation

KW - Pervasive systems

KW - Simulation model

KW - Algorithms

KW - Computer simulation

KW - Intelligent agents

U2 - 10.1109/IE.2011.34

DO - 10.1109/IE.2011.34

M3 - Conference contribution/Paper

SN - 9781457708305

SP - 192

EP - 199

BT - Intelligent Environments (IE), 2011 7th International Conference on

PB - IEEE

ER -