Research Article
Coarse In-Building Localization with Smartphones
@INPROCEEDINGS{10.1007/978-3-642-12607-9_25, author={Avinash Parnandi and Ken Le and Pradeep Vaghela and Aalaya Kolli and Karthik Dantu and Sameera Poduri and Gaurav Sukhatme}, title={Coarse In-Building Localization with Smartphones}, proceedings={1st International ICST Workshop on Innovative Mobile User Interactivity}, proceedings_a={IMUI}, year={2012}, month={10}, keywords={}, doi={10.1007/978-3-642-12607-9_25} }- Avinash Parnandi
Ken Le
Pradeep Vaghela
Aalaya Kolli
Karthik Dantu
Sameera Poduri
Gaurav Sukhatme
Year: 2012
Coarse In-Building Localization with Smartphones
IMUI
Springer
DOI: 10.1007/978-3-642-12607-9_25
Abstract
Geographic location of a person is important contextual information that can be used in a variety of scenarios like disaster relief, directional assistance, context-based advertisements, . GPS provides accurate localization outdoors but is not useful inside buildings. We propose an coarse indoor localization approach that exploits the ubiquity of smart phones with embedded sensors. GPS is used to find the building in which the user is present. The Accelerometers are used to recognize the user’s dynamic activities (going up or down stairs or an elevator) to determine his/her location within the building. We demonstrate the ability to estimate the floor-level of a user. We compare two techniques for activity classification, one is naive Bayes classifier and the other is based on dynamic time warping. The design and implementation of a localization application on the HTC G1 platform running Google Android is also presented.
