Tian Zhou, Yue Zhang, Xinlei Chen, Pei Zhang, Lin Zhang
{"title":"E-loc: indoor localization through building electric wiring: poster abstract","authors":"Tian Zhou, Yue Zhang, Xinlei Chen, Pei Zhang, Lin Zhang","doi":"10.1145/3055031.3055064","DOIUrl":null,"url":null,"abstract":"E-Loc is an indoor localization system, which, through using existing indoor electric wiring, detects occupants' location. While many indoor localization technologies require intensive infrastructural supports, E-Loc obtain locations by injecting a signal into the protected earth line of existing residential power network. Caused by human body inside a room, the electromagnetic character changes can be detected to deduce a resident's location. We evaluate our system through experiments inside multiple rooms and our system is able to reach meter-level accuracy.","PeriodicalId":206082,"journal":{"name":"Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3055031.3055064","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
E-Loc is an indoor localization system, which, through using existing indoor electric wiring, detects occupants' location. While many indoor localization technologies require intensive infrastructural supports, E-Loc obtain locations by injecting a signal into the protected earth line of existing residential power network. Caused by human body inside a room, the electromagnetic character changes can be detected to deduce a resident's location. We evaluate our system through experiments inside multiple rooms and our system is able to reach meter-level accuracy.