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Data Science in R by Deborah Nolan, Duncan Temple Lang

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Chapter 1

Predicting Location via Indoor Positioning Systems

Deborah Nolan

University of California, Berkeley

Duncan Temple Lang

University of California, Davis

1.1 Introduction

The growth of wireless networking has generated commercial and research interests in statistical methods to reliably track people and things inside stores, hospitals, warehouses, and factories. Global positioning systems (GPS) do not work reliably inside buildings, but with the proliferation of wireless local area networks (LANs), indoor positioning systems (IPS) can utilize WiFi signals detected from network access points to answer questions such as: where is a piece of equipment in a hospital? where am I? and who are my neighbors? Ideally, with minimal training, calibration, ...

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