Context-aware inference in ubiquitous residential environments

• We develop a framework of sensor-based context-aware system in a residential environment.
• The URE constitutes three layers of context node, behaviour node and service node.
• The system utilizes a mixed inference method comprising of three reasoning processes.
• The reasoning methods could be applied selectively according to the situation.
• The unique reasoning is pattern driven inference to focus on residents’ behaviour.

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.