Comparison of User Presence Information from Mobile Phone and Sensor Data

Solohaja Rabenjamina, Razvan Stanica, Oana-Teodora Iova, H. Rivano
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引用次数: 1

Abstract

Data collected from mobile phones or from motion detection sensors are regularly used as a proxy for user presence in networking studies. However, little attention was paid to the actual accuracy of these data sources, which present certain biases, in capturing actual human presence in a given geographical area. In this work, we conduct the first comparison between mobile phone data collected by an operator and human presence data collected by motion detection sensors in the same geographical area. Through a detailed spatio-temporal analysis, we show that a significant correlation exists between the two datasets, which can be seen as a cross validation of the two data sources. However, we also detect some significant differences at certain times and places, raising questions regarding the data used in certain studies in the literature. For example, we notice that the most important daily mobility peaks detected in mobile phone data are not actually detected by on ground sensors, or that the end of the work-day activities in the considered area is not synchronised between the two data sources. Our results allow to distinguish the metrics and the scenarios where user presence information is confirmed by both mobile phone and sensor data.
来自手机和传感器数据的用户状态信息的比较
在网络研究中,从移动电话或运动检测传感器收集的数据经常被用作用户存在的代理。但是,很少注意这些数据源的实际准确性,因为它们在捕捉某一地理区域的实际人类活动时存在某些偏差。在这项工作中,我们首次对同一地理区域内由运营商收集的手机数据和由运动检测传感器收集的人的存在数据进行了比较。通过详细的时空分析,我们发现两个数据集之间存在显著的相关性,这可以看作是两个数据源的交叉验证。然而,我们也在某些时间和地点发现了一些显著的差异,这就对文献中某些研究使用的数据提出了质疑。例如,我们注意到,在移动电话数据中检测到的最重要的每日移动峰值实际上并没有被地面传感器检测到,或者在考虑区域的工作日活动结束时没有在两个数据源之间同步。我们的结果允许区分度量和场景,其中用户存在信息由移动电话和传感器数据确认。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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