MobiCamp: a Campus-wide Testbed for Studying Mobile Physical Activities

Mengyu Zhou, Kaixin Sui, Minghua Ma, Youjian Zhao, Dan Pei, T. Moscibroda
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引用次数: 14

Abstract

Ubiquitous WiFi infrastructure and smart phones offer a great opportunity to study physical activities. In this paper, we present MobiCamp, a large-scale testbed for studying mobility-related activities of residents on a campus. MobiCamp consists of ~2,700 APs, ~95,000 smart phones, and an App with ~2,300 opt-in volunteer users. More specifically, we capture how mobile users interact with different types of buildings, with other users, and with classroom courses, etc. To achieve this goal, we first obtain a relatively complete coverage of the users' mobility traces by utilizing four types of information from SNMP and by relaxing the location granularity to roughly at the room level. Then the popular App provides user attributes (grade, gender, etc.) and fine-grained behavior information (phone usages, course timetables, etc.) of the sampled population. These detailed mobile data is then correlated with the mobility traces from the SNMP to estimate the entire campus population's physical activities. We use two applications to show the power of MobiCamp.
MobiCamp:一个校园范围内研究移动体育活动的测试平台
无处不在的WiFi基础设施和智能手机为研究体育活动提供了很好的机会。在本文中,我们提出了MobiCamp,一个大规模的测试平台,用于研究校园内居民的移动相关活动。MobiCamp由约2700台ap、约9.5万部智能手机和一个拥有约2300名自愿用户的应用程序组成。更具体地说,我们捕捉移动用户如何与不同类型的建筑物、与其他用户以及与课堂课程等进行交互。为了实现这一目标,我们首先利用来自SNMP的四种类型的信息,并将位置粒度放宽到大致在房间级别,从而获得用户移动跟踪的相对完整的覆盖。然后热门App提供样本人群的用户属性(年级、性别等)和细粒度行为信息(手机使用情况、课程时间表等)。然后将这些详细的移动数据与来自SNMP的移动轨迹相关联,以估计整个校园人口的身体活动。我们使用两个应用程序来展示MobiCamp的强大功能。
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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