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Bayesian Network-Based High-Level Context Recognition for Mobile Context Sharing in Cyber-Physical System

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  • Han-Saem Park
  • Keunhyun Oh
  • Sung-Bae Cho

Abstract

With the recent proliferation of smart phones, they become useful tools to implement high-confidence cyber-physical systems. Among many applications, context sharing systems in mobile environment attract attention with the popularization of social media. Mobile context sharing systems can share more information than web-based social network services because they can use a variety of information from mobile sensors. To share high-level contexts such as activity, emotion, and user relationship, a user had to annotate them manually in previous works. This paper proposes a mobile context sharing system that can recognize high-level contexts automatically by using Bayesian networks based on mobile logs. We have developed a ContextViewer application which consists of a phonebook and a map browser to show the feasibility of the system. Experiments of evaluating Bayesian networks and performing the SUS test confirm that the proposed system is useful.

Suggested Citation

  • Han-Saem Park & Keunhyun Oh & Sung-Bae Cho, 2011. "Bayesian Network-Based High-Level Context Recognition for Mobile Context Sharing in Cyber-Physical System," International Journal of Distributed Sensor Networks, , vol. 7(1), pages 650387-6503, September.
    • Handle: RePEc:sae:intdis:v:7:y:2011:i:1:p:650387
    DOI: 10.1155/2011/650387
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