Environment Simulation for the Promotion of the Open Data Initiative

Jonathan Synnott; Chris Nugent; Shuai Zhang; Alberto Calzada; Ian Cleland; Macarena Espinilla; Javier Medina Quero; Jens Lundstrom

doi:10.1109/SMARTCOMP.2016.7501690

Environment Simulation for the Promotion of the Open Data Initiative

Jonathan Synnott, Chris Nugent, Shuai Zhang, Alberto Calzada, Ian Cleland, Macarena Espinilla, Javier Medina Quero, Jens Lundstrom

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

10 Citations (Scopus)

86 Downloads (Pure)

Abstract

The development, testing and evaluation of novel approaches to Intelligent Environment data processing require access to datasets which are of high quality, validated and annotated. Access to such datasets is limited due to issues including cost, flexibility, practicality, and a lack of a globally standardized data format. These limitations are detrimental to the progress of research. This paper provides an overview of the Open Data Initiative and the use of simulation software (IE Sim) to provide a platform for the objective assessment and comparison of activity recognition solutions. To demonstrate the approach, a dataset was generated and distributed to 3 international research organizations. Results from this study demonstrate that the approach is capable of providing a platform for benchmarking and comparison of novel approaches.

Original language	English
Title of host publication	Unknown Host Publication
Publisher	IEEE
Pages	1-6
Number of pages	6
ISBN (Print)	978-1-5090-0898-8
DOIs	https://doi.org/10.1109/SMARTCOMP.2016.7501690
Publication status	Published online - 30 Jun 2016
Event	Smart Computing (SMARTCOMP), 2016 IEEE International Conference on - St. Louis, Missouri, USA Duration: 30 Jun 2016 → …

Conference

Conference	Smart Computing (SMARTCOMP), 2016 IEEE International Conference on
Period	30/06/16 → …

Keywords

simulation
intelligent environments
data sharing
activity recognition

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10.1109/SMARTCOMP.2016.7501690

SMARTCOMP 2016 paper 135Author Accepted Manuscript, 837 KB

Cite this

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title = "Environment Simulation for the Promotion of the Open Data Initiative",

abstract = "The development, testing and evaluation of novel approaches to Intelligent Environment data processing require access to datasets which are of high quality, validated and annotated. Access to such datasets is limited due to issues including cost, flexibility, practicality, and a lack of a globally standardized data format. These limitations are detrimental to the progress of research. This paper provides an overview of the Open Data Initiative and the use of simulation software (IE Sim) to provide a platform for the objective assessment and comparison of activity recognition solutions. To demonstrate the approach, a dataset was generated and distributed to 3 international research organizations. Results from this study demonstrate that the approach is capable of providing a platform for benchmarking and comparison of novel approaches.",

keywords = "simulation, intelligent environments, data sharing, activity recognition",

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T1 - Environment Simulation for the Promotion of the Open Data Initiative

AU - Synnott, Jonathan

AU - Nugent, Chris

AU - Zhang, Shuai

AU - Calzada, Alberto

AU - Cleland, Ian

AU - Espinilla, Macarena

AU - Quero, Javier Medina

AU - Lundstrom, Jens

PY - 2016/6/30

Y1 - 2016/6/30

N2 - The development, testing and evaluation of novel approaches to Intelligent Environment data processing require access to datasets which are of high quality, validated and annotated. Access to such datasets is limited due to issues including cost, flexibility, practicality, and a lack of a globally standardized data format. These limitations are detrimental to the progress of research. This paper provides an overview of the Open Data Initiative and the use of simulation software (IE Sim) to provide a platform for the objective assessment and comparison of activity recognition solutions. To demonstrate the approach, a dataset was generated and distributed to 3 international research organizations. Results from this study demonstrate that the approach is capable of providing a platform for benchmarking and comparison of novel approaches.

AB - The development, testing and evaluation of novel approaches to Intelligent Environment data processing require access to datasets which are of high quality, validated and annotated. Access to such datasets is limited due to issues including cost, flexibility, practicality, and a lack of a globally standardized data format. These limitations are detrimental to the progress of research. This paper provides an overview of the Open Data Initiative and the use of simulation software (IE Sim) to provide a platform for the objective assessment and comparison of activity recognition solutions. To demonstrate the approach, a dataset was generated and distributed to 3 international research organizations. Results from this study demonstrate that the approach is capable of providing a platform for benchmarking and comparison of novel approaches.

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KW - intelligent environments

KW - data sharing

KW - activity recognition

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DO - 10.1109/SMARTCOMP.2016.7501690

M3 - Conference contribution

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PB - IEEE

T2 - Smart Computing (SMARTCOMP), 2016 IEEE International Conference on

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ER -

Environment Simulation for the Promotion of the Open Data Initiative

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