Work2016

SocialProbe

Hande Hong · Chengwen Luo · Mun Choon Chan

50 citations0/0 files storedEAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous)

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Human Mobility and Location-Based Analysis Indoor and Outdoor Localization Technologies Opportunistic and Delay-Tolerant Networks

Abstract

In this paper, we present an approach to extract social behavior and interaction patterns of mobile users by passively monitoring WiFi probe requests and null data frames that are sent by smartphones for network control/management purposes. By analyzing the temporal and spatial correlations of the Receive Signal Strength Indicators (RSSI) of packets from these low rate transmissions, we are able to discover proximity relationships, occupancy patterns, and social interactions among users.

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References

2013A New Dimension of Health Care: Systematic Review of the Uses, Benefits, and Limitations of Social Media for Health Communication 2021Predicting Depression via Social Media 2015The Extended iSelf: The Impact of iPhone Separation on Cognition, Emotion, and Physiology 1986Social Patterns of Distress 2012Tracking unmodified smartphones using wi-fi monitors 2014Analysis methods for extracting knowledge from large-scale WiFi monitoring to inform building facility planning 2013Signals from the crowd 2013WiFiPi: Involuntary tracking of visitors at mass events

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2018Large-scale Automatic Depression Screening Using Meta-data from WiFi Infrastructure 2018SNOW: Detecting Shopping Groups Using WiFi 2018CrowdProbe 2018Identifying Movements in Noisy Crowd Analytics Data 2020BaG: Behavior-Aware Group Detection in Crowded Urban Spaces Using WiFi Probes 2019BaG: Behavior-aware Group Detection in Crowded Urban Spaces using WiFi Probes

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