Estimate a User's Location Using Smartphone's Barometer on a Subway
Estimate a User's Location Using Smartphone's Barometer on a Subway
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在地铁上使用智能手机的气压计估计用户的位置
DOI：
10.1145/2830571.2830576
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Masayuki Iwai and Kaoru Sezaki,
中科院分区：
文献类型：
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作者：
Satoshi Hyuga;Masaki Ito;Masayuki Iwai and Kaoru Sezaki,
了解火车的位置对于为火车乘客提供有用的服务是必要的。然而，GPS和Wi-Fi等流行的定位方法并不准确，尤其是在地铁上。作为一种替代方法，正在研究利用智能手机上的传感器来估计地铁乘客的运动状态和车站。本文提出了一种在智能手机上仅使用气压计的定位方法。我们通过高程的变化来估计运动状态，并通过列车停车时记录的一系列高程与车站实际高程的相似性来估计最近的站点。通过对运动状态和最新站点的估计，为地铁乘客开发各种情境感知服务成为可能。通过对东京地铁4条线路的实验，我们证明了运动状态估计的准确率为86%，站点估计的准确率为58%。
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%.