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

Han-Saem Park, Keunhyun Oh and Sung-Bae Cho

International Journal of Distributed Sensor Networks, 2011, vol. 7, issue 1, 650387

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.

Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:7:y:2011:i:1:p:650387

DOI: 10.1155/2011/650387

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