Context-aware Inference in Ubiquitous Residential Environments
- Authors
- Lee, Ju Hyun; Lee, Hyunsoo; Kim, Mi Jeong; Wang, Xiangyu; Love, Peter E. D.
- Issue Date
- Jan-2014
- Publisher
- ELSEVIER
- Keywords
- Ubiquitous residential environment; Context-aware inference; Smart home; Sensor network; Lighting Intelligent environment
- Citation
- COMPUTERS IN INDUSTRY, v.65, no.1, pp.148 - 157
- Indexed
- SCIE
SCOPUS
- Journal Title
- COMPUTERS IN INDUSTRY
- Volume
- 65
- Number
- 1
- Start Page
- 148
- End Page
- 157
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/160836
- DOI
- 10.1016/j.compind.2013.08.005
- ISSN
- 0166-3615
- Abstract
- 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.
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