基于智能手机的商业智能人类移动轨迹获取和社会互动监测

A. Antoniou, E. Theodoridis, I. Chatzigiannakis, Georgios Mylonas
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引用次数: 2

摘要

人类活动监测和各自的轨迹对于理解人类行为、各自的模式和相关的环境非常重要。这些数据可以潜在地用于面向商业智能的系统,以提供附加价值的商业服务或对企业内部流程的洞察。与此同时,智能手机正迅速成为我们日常生活中不可或缺的工具,而其先进的网络和计算能力正越来越多地被用作新应用的推动者。我们在这里讨论一个使用稳定的计算和网络基础设施以及基于商品技术的智能手机应用程序的系统,旨在快速部署并为这些方面提供几乎实时的分析。我们还讨论了一个相关的场景,以便深入了解可以在何处使用我们的系统。我们简要介绍了我们的系统在办公大楼和研究展览活动两种场景下的部署,以及我们的经验。我们的研究结果表明,部署和操作我们的系统相对容易,产生有意义的数据是可行和有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Human Mobility Trace Acquisition and Social Interactions Monitoring for Business Intelligence Using Smartphones
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.
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