Journal
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
Volume -, Issue -, Pages -Publisher
SAGE PUBLICATIONS INC
DOI: 10.1155/2011/650387
Keywords
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Funding
- National Research Foundation of Korea (NRF)
- Ministry of Education, Science and Technology [2010-0018948]
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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 amap 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.
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