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- W2898085939 abstract "Capturing individual mobility patterns has become a crucial issue for a tremendous number of applications, often requiring the use of privacy-invasive or energy-consuming sensors and online services. In parallel to this, the proliferation of wireless network access points (APs), scattered in a very dense manner in many geographical areas, is now opening up new technological opportunities. In this work, we demonstrate the use of network discovery data passively collected from Wi-Fi APs to infer mobility indicators. This local approach can potentially be implemented on any device with a communication interface, and allows for continuous and long-term data collection. The demo showcases a multi-platform mobile app (DISCO) and is presented alongside an extended desktop analysis toolbox. Additional material can be found online1." @default.
- W2898085939 created "2018-11-02" @default.
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- W2898085939 date "2018-11-04" @default.
- W2898085939 modified "2023-09-26" @default.
- W2898085939 title "DISCO" @default.
- W2898085939 cites W2285540181 @default.
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- W2898085939 doi "https://doi.org/10.1145/3274783.3275173" @default.
- W2898085939 hasPublicationYear "2018" @default.
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