OpenSHS: Open Smart Home Simulator
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SEDKY, Mohamed (2017) OpenSHS: Open Smart Home Simulator. Sensors, 17 (5). ISSN 1424-8220
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sensors-17-01003.pdf - Publisher's typeset copy Available under License Creative Commons Attribution 4.0 International (CC BY 4.0) . Download (1MB) | Preview |
Abstract or description
This paper develops a new hybrid, open-source, cross-platform 3D smart home simulator, OpenSHS, for dataset generation. OpenSHS offers an opportunity for researchers in the field of Internet of Things (IoT), machine learning and smart home simulation to test and evaluate their models. Following a hybrid approach, a OpenSHS combines advantages from both interactive and model-based approaches. This approach reduces the time and efforts required to generate simulated smart home datasets. We have designed a replication algorithm for extending and expanding a dataset. A small sample dataset produced, by OpenSHS, can be extended without affecting the logical order of the events. The replication provides a solution for generating large representative smart home datasets. We have built an extensible library of smart devices that facilitates the simulation of current and future smart home environments. Our tool divides the dataset generation process into three distinct phases: first design, the researcher designs the initial virtual environment by building the home, importing smart devices and creating contexts; second simulation, the participant simulates his/her context-specific events; and third aggregation, the researcher applies the replication algorithm to generate the final dataset. We conducted a study to asses the ease of use of our tool on the System Usability Scale (SUS).
| Item Type: | Article |
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| Faculty: | School of Computing and Digital Technologies > Computing |
| Depositing User: | Mohamed SEDKY |
| Date Deposited: | 03 Jul 2017 13:51 |
| Last Modified: | 23 Nov 2020 15:42 |
| URI: | https://eprints.staffs.ac.uk/id/eprint/3622 |
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