Context-aware inference in ubiquitous residential environments
Residential ubiquitous computing environments have focused on interconnecting environmental controls using a home network and the management of sensor data rather than a context-aware inference. Building upon previous research, this paper proposes a novel sensor-based context-aware system with a foc...
| Main Authors: | , , , , |
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| Format: | Journal Article |
| Published: |
ELSEVIER
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/38648 |
| _version_ | 1848755377469915136 |
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| author | Lee, J. Lee, H. Kim, M. Wang, Xiangyu Love, Peter |
| author_facet | Lee, J. Lee, H. Kim, M. Wang, Xiangyu Love, Peter |
| author_sort | Lee, J. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Residential ubiquitous computing environments have focused on interconnecting environmental controls using a home network and the management of sensor data rather than a context-aware inference. Building upon previous research, this paper proposes a novel sensor-based context-aware system with a focus on three inference processes: rule, inference and pattern driven. Using pattern data derived from five families for a working week and establishing rules and inferences, the proposed context-aware system is demonstrated using electrical lighting as an example. The processes to develop an intelligent house are described so as to ameliorate personalized services in response to inhabitants’ needs. |
| first_indexed | 2025-11-14T08:55:20Z |
| format | Journal Article |
| id | curtin-20.500.11937-38648 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:55:20Z |
| publishDate | 2014 |
| publisher | ELSEVIER |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-386482017-09-13T15:59:40Z Context-aware inference in ubiquitous residential environments Lee, J. Lee, H. Kim, M. Wang, Xiangyu Love, Peter Residential ubiquitous computing environments have focused on interconnecting environmental controls using a home network and the management of sensor data rather than a context-aware inference. Building upon previous research, this paper proposes a novel sensor-based context-aware system with a focus on three inference processes: rule, inference and pattern driven. Using pattern data derived from five families for a working week and establishing rules and inferences, the proposed context-aware system is demonstrated using electrical lighting as an example. The processes to develop an intelligent house are described so as to ameliorate personalized services in response to inhabitants’ needs. 2014 Journal Article http://hdl.handle.net/20.500.11937/38648 10.1016/j.compind.2013.08.005 ELSEVIER restricted |
| spellingShingle | Lee, J. Lee, H. Kim, M. Wang, Xiangyu Love, Peter Context-aware inference in ubiquitous residential environments |
| title | Context-aware inference in ubiquitous residential environments |
| title_full | Context-aware inference in ubiquitous residential environments |
| title_fullStr | Context-aware inference in ubiquitous residential environments |
| title_full_unstemmed | Context-aware inference in ubiquitous residential environments |
| title_short | Context-aware inference in ubiquitous residential environments |
| title_sort | context-aware inference in ubiquitous residential environments |
| url | http://hdl.handle.net/20.500.11937/38648 |