Context Inference Engine (CiE): Inferring Context

Umar Mahmud and Mohammed Younus Javed
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Umar Mahmud: Department of Computer Software Engineering, Military College of Signals, National University of Sciences & Technology(NUST), Islamabad, Pakistan
Mohammed Younus Javed: Dean of Faculty of Engineering, College of Electrical & Mechanical Engineering, National University of Sciences & Technology(NUST), Islamabad, Pakistan

International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC), 2012, vol. 4, issue 3, 13-41

Abstract: Context Awareness is the task of inferring contextual data acquired through sensors present in the environment. ‘Context’ encompasses all knowledge bounded by a scope and includes attributes of machines and users. A general context aware system is composed of context gathering and context inference modules. This paper proposes a Context Inference Engine (CiE) that classifies the current context as one of several recorded context activities. The engine follows a distance measure based classification approach with standard deviation based ranks to identify likely activities. The paper presents the algorithm and some results of the context classification process.

Date: 2012
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