Bayesian Network-Based High-Level Context Recognition for Mobile Context Sharing in Cyber-Physical System
Bayesian Network-Based High-Level Context Recognition for Mobile Context Sharing in Cyber-Physical System
复制标题
基于贝叶斯网络的高级上下文识别，用于网络物理系统中的移动上下文共享
DOI：
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发表时间：
2011
期刊：
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通讯作者：
Sung
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文献类型：
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作者：
Han;Keunhyun Oh;Sung
随着最近智能手机的普及，它们成为实现高置信度网络物理系统的有用工具。在众多的应用中，随着社会媒体的普及，移动的环境下的上下文共享系统引起了人们的关注。移动的上下文共享系统可以比基于web的社交网络服务共享更多的信息，因为它们可以使用来自移动的传感器的各种信息。为了共享活动、情感和用户关系等高级上下文，用户必须在以前的作品中手动注释它们。提出了一种移动的上下文共享系统，该系统基于移动的日志，利用贝叶斯网络自动识别高层上下文。我们已经开发了一个ContextViewer应用程序，其中包括一个电话簿和一个地图浏览器，以显示系统的可行性。贝叶斯网络的评估和SUS测试的实验证实了该系统是有用的。
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.