Context-aware inference in ubiquitous residential environments |
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Authors: | Ju Hyun Lee Hyunsoo Lee Mi Jeong Kim Xiangyu Wang Peter ED Love |
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Affiliation: | 1. School of Architecture and Built Environment, University of Newcastle, NSW 2308, Australia;2. Department of Interior Architecture and Built Environment, Yonsei University, Republic of Korea;3. Department of Housing and Interior Design, Kyung Hee University, Republic of Korea;4. School of Built Environment, Curtin University, Australia |
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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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Keywords: | Ubiquitous residential environment Context-aware inference Smart home Sensor network Lighting Intelligent environment |
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