Publication

@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}

}

@inproceedings{10.1145/2638728.2641670,

title = {Beyond Horizontal Location Context: Measuring Elevation Using Smartphone’s Barometer},

author = {Guangwen Liu and Masayuki Iwai and Yoshito Tobe and Dunstan Matekenya and Khan Muhammad Asif Hossain and Masaki Ito and Kaoru Sezaki},

url = {https://doi.org/10.1145/2638728.2641670},

doi = {10.1145/2638728.2641670},

isbn = {9781450330473},

year  = {2014},

date = {2014-01-01},

booktitle = {Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication},

pages = {459–468},

publisher = {Association for Computing Machinery},

address = {Seattle, Washington},

series = {UbiComp ’14 Adjunct},

keywords = {altitude, barometer, elevation measurement, floor localization, Smartphone sensors},

pubstate = {published},

tppubtype = {inproceedings}

}