Modeling of building occupation using motion sensor data
dc.contributor.author | Martinsen, Jørund | |
dc.date.accessioned | 2020-03-02T12:36:58Z | |
dc.date.available | 2020-03-02T12:36:58Z | |
dc.date.issued | 2019 | |
dc.identifier.uri | https://hdl.handle.net/11250/2644656 | |
dc.description.abstract | As SMART house technology has emerged, the need to estimate position of residents has been important for several cases. In this project, a model of PIR sensor data is presented. The model should be able to predict occupation status, now or in the near future. This does not include the location inside the house. Previous work in this area is summarized in [3]. Here, several approaches and methods are reviewed. Some of these are touched upon here and also implemented in the model. The software is written in WPF, C#, using the Unified Process as a development process. Documentation is done using UML schemes. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | University of South-Eastern Norway | en_US |
dc.subject | system development | en_US |
dc.subject | PIRMod | en_US |
dc.subject | Software development | en_US |
dc.subject | smart houses | en_US |
dc.title | Modeling of building occupation using motion sensor data | en_US |
dc.type | Master thesis | en_US |
dc.rights.holder | Copyright of the author | en_US |
dc.source.pagenumber | 124 | en_US |