Indoor-Outdoor Detection Using a Smart Phone Sensor.

ABSTRACT: In the era of mobile internet, Location Based Services (LBS) have developed dramatically. Seamless Indoor and Outdoor Navigation and Localization (SNAL) has attracted a lot of attention. No single positioning technology was capable of meeting the various positioning requirements in different environments. Selecting different positioning techniques for different environments is an alternative method. Detecting the users' current environment is crucial for this technique. In this paper, we proposed to detect the indoor/outdoor environment automatically without high energy consumption. The basic idea was simple: we applied a machine learning algorithm to classify the neighboring Global System for Mobile (GSM) communication cellular base station's signal strength in different environments, and

SUBMITTER: Wang W 

PROVIDER: S-EPMC5087352 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature