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【目的】为移动环境下数据采集与分析提供一种基于情境感知技术(Context Awareness)的设计框架,以优化移动数据自动化采集过程。【应用背景】尽管基于移动端的情景感知数据采集较之传统网络环境下的人工与半自动方式有所发展,但利用移动端底层传感器直接获取实时用户信息,实现实时、动态、全面的数据采集与挖掘进而达到主动提供服务的目的,这方面的应用仍处于发展阶段。【方法】利用Android自带的众多传感器,设计了客户端自动采集、服务器主动接收的数据采集框架。在实证与评价方面,设计了一个通过动态情境感知推荐高层服务的实例。【结果】实证结果表明:该系统能够针对某一情境采集移动用户数据,为高层推荐服务提供良好支持。【局限】采集到的数据具有较大的冗余度,未进行多角度、全面、深度的情境推理,需要在以后的研究中针对用户数据进行深入分析。【结论】基于情境感知的移动数据自动采集系统能够进行移动数据的主动采集,并依据采集结果对个体或群体进行推送服务,对移动环境下用户行为研究与情境计算研究都起到较好的支撑作用。
[Objective] To provide a Context Awareness-based design framework for data acquisition and analysis in mobile environment to optimize the mobile data acquisition process. [Background] Although mobile-based context-aware data acquisition has evolved over both manual and semi-automatic methods in traditional network environments, the real-time, dynamic and comprehensive data collection and mining So as to achieve the purpose of proactively providing services. Applications in this area are still in the development stage. 【Method】 Using the many sensors that comes with Android, a data acquisition framework designed by the client for automatic acquisition and server initiative reception was designed. In terms of demonstration and evaluation, an example of recommending high-level service through dynamic situational awareness was designed. 【Result】 The empirical results show that the system can collect mobile user data for a certain situation and provide good support for the high-level recommendation service. [Limitations] The collected data has greater redundancy, without multi-angle, comprehensive and in-depth situational reasoning, and needs further analysis of user data in future research. 【Conclusion】 Context-aware mobile data acquisition system can actively collect mobile data and push individuals or groups based on the results of the collection, which all play a good role in the research of user behavior and situation calculation in mobile environment effect.