@inproceedings{inproceedingsi,
title = {Estimate a User’s Location Using Smartphone’s Barometer on a Subway},
author = {Satoshi Hyuga and Masaki Ito and Masayuki Iwai and Kaoru Sezaki},
doi = {10.1145/2830571.2830576},
isbn = {9781450339681},
year = {2015},
date = {2015-11-01},
booktitle = {Proceedings of the 5th International Workshop on Mobile Entity Localization and Tracking in GPS-less Environments (MELT '15) },
pages = {1-4},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
series = {MELT ’15},
abstract = {Knowing the location of a train is necessary to develop a useful service for train passengers. However, popular localization methods such as GPS and Wi-Fi are not accurate especially on a subway. As an alternative method, estimation of motion state and stop station by using sensors on a smartphone is being studied for subway passengers. This paper proposes a localization method that uses only a barometer on a smartphone. We estimate motion state from the change of elevation, and also estimate latest stop station by the similarity of a series of elevations recorded when the train stopped and actual elevations of stations. By estimation of the motion state and the latest stop station, development of various context-aware services for subway passengers becomes possible. Through experiments in four lines of subway in Tokyo, we demonstrated that the accuracy of estimation of the motion state is 86%, and estimation of the stop station is 58%.},
keywords = {barometer, location estimation, smartphone, subway},
pubstate = {published},
tppubtype = {inproceedings}
}