Context Inference Engine (CiE): Inferring Context

  • Authors:
  • Umar Mahmud;Mohammed Younus Javed

  • Affiliations:
  • Department of Computer Software Engineering, Military College of Signals, National University of Sciences & Technology(NUST), Islamabad, Pakistan;Dean of Faculty of Engineering, College of Electrical & Mechanical Engineering, National University of Sciences & Technology(NUST), Islamabad, Pakistan

  • Venue:
  • International Journal of Advanced Pervasive and Ubiquitous Computing
  • Year:
  • 2012

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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.