title: Using multiple barometers to detect the floor location of smart phones with built-in barometric sensors for indoor positioning.
abstract: Following the popularity of smart phones and the development of mobile Internet, the demands for accurate indoor positioning have grown rapidly in recent years. Previous indoor positioning methods focused on plane locations on a floor and did not provide accurate floor positioning. In this paper, we propose a method that uses multiple barometers as references for the floor positioning of smart phones with built-in barometric sensors. Some related studies used barometric formula to investigate the altitude of mobile devices and compared the altitude with the height of the floors in a building to obtain the floor number. These studies assume that the accurate height of each floor is known, which is not always the case. They also did not consider the difference in the barometric-pressure pattern at different floors, which may lead to errors in the altitude computation. Our method does not require knowledge of the accurate heights of buildings and stories. It is robust and less sensitive to factors such as temperature and humidity and considers the difference in the barometric-pressure change trends at different floors. We performed a series of experiments to validate the effectiveness of this method. The results are encouraging.
authors.affiliation: The Institute of Remote Sensing and Digital Earth, No.20 Datun Road, Chaoyang District, Beijing 100101, China. haocool.xia@foxmail.com.
authors.forename: Hao
authors.initials: H
authors.lastname: Xia
authors.affiliation: Sichuan Geological Survey, No.25 Renmin Road, Chengdu 610081, China. rshunter@126.com.
authors.forename: Xiaogang
authors.initials: X
authors.lastname: Wang
authors.affiliation: The Institute of Remote Sensing and Digital Earth, No.20 Datun Road, Chaoyang District, Beijing 100101, China. qiaoyy@radi.ac.cn.
authors.forename: Yanyou
authors.initials: Y
authors.lastname: Qiao
authors.affiliation: The Institute of Remote Sensing and Digital Earth, No.20 Datun Road, Chaoyang District, Beijing 100101, China. jianjun@radi.ac.cn.
authors.forename: Jun
authors.initials: J
authors.lastname: Jian
authors.affiliation: The Institute of Remote Sensing and Digital Earth, No.20 Datun Road, Chaoyang District, Beijing 100101, China. changyf@radi.ac.cn.
authors.forename: Yuanfei
authors.initials: Y
authors.lastname: Chang
references.citation: Sensors (Basel). 2013 Nov 18;13(11):15692-707
references.pmid: 24253189
references.citation: Sensors (Basel). 2014;14(8):13324-47
references.pmid: 25061835
references.citation: Conf Proc IEEE Eng Med Biol Soc. 2013;2013:4738-41
references.pmid: 24110793
references.citation: Sensors (Basel). 2014 Jun 20;14(6):11001-15
references.pmid: 24955944
references.citation: Med Eng Phys. 2014 Jun;36(6):739-44
references.pmid: 24485500