Authors:
Jiaqi Zhu
1
;
Lee Vwen Yen
1
;
Jit Biswas
1
;
Mounir Mokhtari
2
;
Thibaut Tiberghien
2
and
Hamdi Aloulou
2
Affiliations:
1
Institute for Infocomm Research (I2R), Singapore
;
2
Image & Pervasive Access Lab (IPAL), I2R and A*STAR, Singapore
Keyword(s):
Context-aware, Reasoning engine, High level knowledge, Smart home, Sensor network, Pervasive environment, Ambient assistive.
Related
Ontology
Subjects/Areas/Topics:
Ambient Intelligence
;
Context
;
Context-Aware Applications
;
Mobile and Pervasive Computing
;
Paradigm Trends
;
Pervasive Health
;
Software Engineering
;
Telecommunications
;
Ubiquitous Computing Systems and Services
Abstract:
We are interested in providing people living or working in smart home environment with sensor network based assistive technology. We propose a novel rule-based reasoning engine that could be used in ubiquitous environments to infer logical consequences from events received over a sensor network. We introduce methods for rule design with high level knowledge input and using minimum information to infer micro-context. Personalised profiles can be introduced into the reasoning engine to customise features for a particular user using our rule refinement and generation module. New mechanism for sensor-engine communication is also introduced. As a proof of concept, a prototype system (using DROOLS) has been developed to demonstrate the functionalities of our reasoning engine in a simulated smart home environment.