Context-Aware Computing System for Heterogeneous Applications
Yoshinori Isoda, Shoji Kurakake, Kazuo Imai · 2005
Abstract — It is a very important to develop context-aware systems that can handle, at the same time, multiple heterogeneous applications that require different contexts with different levels of abstraction. This paper proposes a framework for such systems. To handle the heterogeneity of the context required by the applications, we introduce a user activity context detection method based on the combination of a multi spatio-temporal description of measured sensor data, a description of detected context with multiple levels of abstraction, and an order-sensitive description of the context model required by an application. We also introduce an algorithm that implements the context detection method by reflecting the context detection capabilities of any given environment. We build a prototype system by embedding sensors into an experimental house; evaluations show it promise. Index Terms — context recognition, decision tree, spatio-temporal representation, ubiquitous C I.