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
言語種別 英語
発行・発表の年月 2016/11
形態種別 国際会議論文
標題 Estimate a User’s Location Using Smartphone’s Barometer on a Subway
執筆形態 共著
掲載誌名 MELT 2015 (ACM SIGSPATIAL 2015)
掲載区分国内
著者・共著者 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