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Human Mobility Trace Acquisition and Social Interactions Monitoring for Business Intelligence Using Smartphones

机译:使用智能手机进行商务智能的人员流动追踪获取和社交互动监控

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摘要

Human mobility monitoring and respective traces are important for understanding human behavior, respective patterns and associated context. Such data can be potentially used in business intelligence-oriented systems, for providing added value commercial services or insight to internal enterprise procedures. At the same time, smart phones are rapidly becoming an indispensable tool for our everyday life, while their advanced networking and computing capabilities are increasingly being used as enablers for new applications. We discuss here a system using a stable computing and networking infrastructure along with smart phone applications, based on commodity technologies, meant to be deployed rapidly and provide analytics almost in real-time for such aspects. We also discuss a related scenario in order to provide insight as to where our system could be used. We briefly present the deployment of our system in two settings, an office building and a research exhibition event, along with our experiences. Our findings show that it is feasible and efficient to deploy and operate our system relatively easy, producing meaningful data.
机译:人体活动性监测和相应的痕迹对于理解人类行为,相应的模式和相关的环境非常重要。此类数据可能会在面向商业智能的系统中使用,以提供增值的商业服务或对内部企业程序的洞察。同时,智能电话正迅速成为我们日常生活中必不可少的工具,而其先进的网络和计算功能正越来越多地被用作新应用的支持者。我们在此讨论一种基于商品技术的,使用稳定的计算和网络基础架构以及智能手机应用程序的系统,该系统旨在快速部署并针对这些方面几乎实时地提供分析。我们还讨论了一个相关方案,以提供有关在哪里可以使用我们的系统的见解。我们简要介绍了我们的系统在两种环境中的部署情况:办公大楼和研究展览活动,以及我们的经验。我们的发现表明,相对容易地部署和操作我们的系统是可行且有效的,从而产生有意义的数据。

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