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.
|Number of pages||10|
|Journal||Computers in Industry|
|Publication status||Published - 2014 Jan|
Bibliographical noteFunding Information:
Dr. Ju Hyun Lee is a post doc research fellow in the School of Architecture and Built Environment, University of Newcastle, Australia. He received his BS, MS, and PhD from Yonsei University, Korea. A majority of Dr. Lee's research is in the area of applying novel technologies. He has developed ‘Context-aware DBMS’, ‘RFID Application’, ‘CAME (Context Aware Mobile Engine)’ and ‘Context-Aware Inference Engine’ since 2003. This research has been presented at CAADRiA, CAADFutures, ISARC, ACM C&C and ANZAScA. He has acted as a reviewer for international conferences & journals, and for grants of National Research Foundation of Korea and the Netherlands Organisation for Scientific Research. His research has aimed to merge physical and virtual design factors into an embodied architectural space.
Dr. Mi Jeong Kim is an Assistant Professor of Housing and Interior Design at Kyung Hee University, Republic of Korea. She received her Ph.D. (2007) in the Key Centre of Design Computing and Cognition at the University of Sydney. She worked as a postdoc fellowship in the Department of Engineering Research Support Organization in UC Berkeley before joining Kyung Hee University. Her current research interest includes Design Studies, Housing Studies, and Human-Computer Interaction. Her email address is email@example.com and her postal address is Department of Housing and Interior Design, College of Human Ecology, Kyung Hee University, Hoegi-dong, Dongdaemun-gu, Seoul 130-701, Republic of Korea.
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (no. 2012-0007654 ).
All Science Journal Classification (ASJC) codes
- Computer Science(all)