イワイ マサユキ   IWAI Masayuki
  岩井 将行
   所属   東京電機大学  未来科学部 情報メディア学科
   東京電機大学大学院  先端科学技術研究科 情報通信メディア工学専攻
   東京電機大学大学院  未来科学研究科 情報メディア学専攻
   職種   准教授
発表年月日 2015/11/03
発表テーマ Estimate a User’s Location Using Smartphone’s Barometer on a Subway
会議名 MELT 2015 (ACM SIGSPATIAL 2015)
主催者 ACM SIGSPATIAL 2015
学会区分 国際学会
発表形式 口頭(一般)
単独共同区分 共同
開催地名 Seattle, Washington, USA
発表者・共同発表者 Satoshi Hyuga,Masaki Ito,Masayuki Iwai,Kaoru Sezaki
概要 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%.