Abstract

With the increasing popularity of smart phones, knowing the accurate position of a user has become critical to many context-aware applications. In outdoor environments, standardized Global Positioning System (GPS) is often used. However, for indoor environments such as airports, hospitals or shopping malls GPS signals are usually unavailable or unreliable. Most of the existing indoor positioning solutions try to address this problem by utilizing existing infrastructures such as Wi-Fi access points or Bluetooth beacons.

Keywords

Global Position System Sensor Reading Statistical Machine Translation True Displacement Park Building 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2012

Authors and Affiliations

  • Le T. Nguyen
    • 1
  • Ying Zhang
    • 1
  1. 1.Carnegie Mellon UniversityMoffett FieldUSA

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