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Context Inference Engine (CiE): Inferring Context

Author

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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)

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.

Suggested Citation

  • Umar Mahmud & Mohammed Younus Javed, 2012. "Context Inference Engine (CiE): Inferring Context," International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC), IGI Global, vol. 4(3), pages 13-41, July.
    • Handle: RePEc:igg:japuc0:v:4:y:2012:i:3:p:13-41
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