%0 Book Section %1 springerlink:10.1007/978-3-642-12607-9_25 %A Parnandi, Avinash %A Le, Ken %A Vaghela, Pradeep %A Kolli, Aalaya %A Dantu, Karthik %A Poduri, Sameera %A Sukhatme, Gaurav S. %B Mobile Computing, Applications, and Services %D 2010 %E Akan, Ozgur %E Bellavista, Paolo %E Cao, Jiannong %E Dressler, Falko %E Ferrari, Domenico %E Gerla, Mario %E Kobayashi, Hisashi %E Palazzo, Sergio %E Sahni, Sartaj %E Shen, Xuemin (Sherman) %E Stan, Mircea %E Xiaohua, Jia %E Zomaya, Albert %E Coulson, Geoffrey %E Phan, Thomas %E Montanari, Rebecca %E Zerfos, Petros %I Springer Berlin Heidelberg %K wlanpos %P 343-354 %T Coarse In-Building Localization with Smartphones %U http://dx.doi.org/10.1007/978-3-642-12607-9_25 %V 35 %X 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, etc. 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. %@ 978-3-642-12607-9

@incollection{springerlink: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, etc. 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.}, added-at = {2010-10-13T11:53:07.000+0200}, affiliation = {University of Southern California Ming Hsieh Department of Electrical Engineering Los Angeles CA 90089 USA}, author = {Parnandi, Avinash and Le, Ken and Vaghela, Pradeep and Kolli, Aalaya and Dantu, Karthik and Poduri, Sameera and Sukhatme, Gaurav S.}, biburl = {https://www.bibsonomy.org/bibtex/2dc014fde04c1e38102b1950f95e51ea3/kw}, booktitle = {Mobile Computing, Applications, and Services}, editor = {Akan, Ozgur and Bellavista, Paolo and Cao, Jiannong and Dressler, Falko and Ferrari, Domenico and Gerla, Mario and Kobayashi, Hisashi and Palazzo, Sergio and Sahni, Sartaj and Shen, Xuemin (Sherman) and Stan, Mircea and Xiaohua, Jia and Zomaya, Albert and Coulson, Geoffrey and Phan, Thomas and Montanari, Rebecca and Zerfos, Petros}, interhash = {2406f1a3e20bb03df65ed5150e63d491}, intrahash = {dc014fde04c1e38102b1950f95e51ea3}, isbn = {978-3-642-12607-9}, keyword = {Computer Science}, keywords = {wlanpos}, note = {10.1007/978-3-642-12607-9_25}, pages = {343-354}, publisher = {Springer Berlin Heidelberg}, series = {Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering}, timestamp = {2010-10-13T11:53:07.000+0200}, title = {Coarse In-Building Localization with Smartphones}, url = {http://dx.doi.org/10.1007/978-3-642-12607-9_25}, volume = 35, year = 2010 }