Bayesian network-based high-level context recognition for mobile context sharing in cyber-physical system

Han Saem Park, Keunhyun Oh, Sung Bae Cho

Research output: Contribution to journalArticle

20 Citations (Scopus)


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.

Original languageEnglish
Article number650387
JournalInternational Journal of Distributed Sensor Networks
Publication statusPublished - 2011 Nov 24


All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Computer Networks and Communications

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