Authors
Mengyu Zhou, Kaixin Sui, Minghua Ma, Youjian Zhao, Dan Pei, Thomas Moscibroda
Publication date
2016/6/26
Book
Proceedings of the 3rd International on Workshop on Physical Analytics
Pages
1-6
Description
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 …
Total citations
20162017201820192020202120221254113
Scholar articles
M Zhou, K Sui, M Ma, Y Zhao, D Pei, T Moscibroda - Proceedings of the 3rd International on Workshop on …, 2016