使用智能手机的旋转矢量传感器估算建筑物上下楼梯的距离

Masaki Nishizaka, Kenta Okina, H. Morino
{"title":"使用智能手机的旋转矢量传感器估算建筑物上下楼梯的距离","authors":"Masaki Nishizaka, Kenta Okina, H. Morino","doi":"10.23919/ICMU.2018.8653597","DOIUrl":null,"url":null,"abstract":"Localization of persons in the building after a disaster occurs is one of prominent issues for rescuing them and also it is technically challenging, considering that communication infrastructures such as cellular or WiFi would be often unavailable due to the severe damage or heavy traffic concentration. This paper focuses on estimating person’s moving distance in the stairs and presents a scheme to estimate only with rotation vector sensor, being typically installed in the recent smartphone. Performance evaluation by experiments shows that the proposed scheme can estimate the number of floors by which the person moved with error of almost zero.","PeriodicalId":398108,"journal":{"name":"2018 Eleventh International Conference on Mobile Computing and Ubiquitous Network (ICMU)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Estimating Distance of Going Up and down Stairs in a Building Using the Smartphone’s Rotation Vector Sensor\",\"authors\":\"Masaki Nishizaka, Kenta Okina, H. Morino\",\"doi\":\"10.23919/ICMU.2018.8653597\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Localization of persons in the building after a disaster occurs is one of prominent issues for rescuing them and also it is technically challenging, considering that communication infrastructures such as cellular or WiFi would be often unavailable due to the severe damage or heavy traffic concentration. This paper focuses on estimating person’s moving distance in the stairs and presents a scheme to estimate only with rotation vector sensor, being typically installed in the recent smartphone. Performance evaluation by experiments shows that the proposed scheme can estimate the number of floors by which the person moved with error of almost zero.\",\"PeriodicalId\":398108,\"journal\":{\"name\":\"2018 Eleventh International Conference on Mobile Computing and Ubiquitous Network (ICMU)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Eleventh International Conference on Mobile Computing and Ubiquitous Network (ICMU)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/ICMU.2018.8653597\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Eleventh International Conference on Mobile Computing and Ubiquitous Network (ICMU)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ICMU.2018.8653597","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

灾难发生后,建筑物内人员的定位是救援人员的突出问题之一,也是技术上的挑战,因为由于严重破坏或交通拥挤,蜂窝或WiFi等通信基础设施往往无法使用。本文主要研究人在楼梯上的移动距离估计问题,并提出了一种仅使用旋转矢量传感器进行估计的方案,该方案通常安装在最近的智能手机中。实验结果表明,该算法可以估计出人移动的楼层数,误差几乎为零。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Estimating Distance of Going Up and down Stairs in a Building Using the Smartphone’s Rotation Vector Sensor
Localization of persons in the building after a disaster occurs is one of prominent issues for rescuing them and also it is technically challenging, considering that communication infrastructures such as cellular or WiFi would be often unavailable due to the severe damage or heavy traffic concentration. This paper focuses on estimating person’s moving distance in the stairs and presents a scheme to estimate only with rotation vector sensor, being typically installed in the recent smartphone. Performance evaluation by experiments shows that the proposed scheme can estimate the number of floors by which the person moved with error of almost zero.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Modelling and Analysing Overlay Networks by Ambients with Wormholes VR Classroom: Enhancing Learning Experience with Virtual Class Rooms [Copyright notice] ICMU 2018 Committees Deep Reinforcement Learning-Based Method of Mobile Data Offloading
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1