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International Journal of Distributed Sensor Networks
Volume 2011 (2011), Article ID 650387, 10 pages
Research Article

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

Department of Computer Science, Yonsei University, 262 Seongsanno, Sudaemoon-gu, Seoul 120-749, Republic of Korea

Received 10 February 2011; Revised 8 June 2011; Accepted 11 July 2011

Copyright © 2011 Han-Saem Park et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.