B. Shin, Seok Lee, Chulki Kim, Jaehun Kim, Taikjin Lee, C. Kee, Sujeong Heo, Heonsoo Rhee
{"title":"基于智能手机的运动与头部混合分类器3D PDR系统的实现与性能分析","authors":"B. Shin, Seok Lee, Chulki Kim, Jaehun Kim, Taikjin Lee, C. Kee, Sujeong Heo, Heonsoo Rhee","doi":"10.1109/PLANS.2014.6851376","DOIUrl":null,"url":null,"abstract":"In this paper, we present a motion recognition based pedestrian dead reckoning (PDR) system. The difference of smartphone-based PDR system and inertial measurement unit (IMU)-based PDR is that axes of smartphone sensor are changed dependently by pedestrian motions, but IMU-based PDR does not that. To solve this issue, we firstly detect a performed motion and operate a proper PDR algorithm according to the detected motion. We apply this system to many persons to identify its applicability. Especially, a heading classifier having 45 degree resolution is applied. We performed a real field test and analyzed a performance of this system.","PeriodicalId":371808,"journal":{"name":"2014 IEEE/ION Position, Location and Navigation Symposium - PLANS 2014","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Implementation and performance analysis of smartphone-based 3D PDR system with hybrid motion and heading classifier\",\"authors\":\"B. Shin, Seok Lee, Chulki Kim, Jaehun Kim, Taikjin Lee, C. Kee, Sujeong Heo, Heonsoo Rhee\",\"doi\":\"10.1109/PLANS.2014.6851376\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present a motion recognition based pedestrian dead reckoning (PDR) system. The difference of smartphone-based PDR system and inertial measurement unit (IMU)-based PDR is that axes of smartphone sensor are changed dependently by pedestrian motions, but IMU-based PDR does not that. To solve this issue, we firstly detect a performed motion and operate a proper PDR algorithm according to the detected motion. We apply this system to many persons to identify its applicability. Especially, a heading classifier having 45 degree resolution is applied. We performed a real field test and analyzed a performance of this system.\",\"PeriodicalId\":371808,\"journal\":{\"name\":\"2014 IEEE/ION Position, Location and Navigation Symposium - PLANS 2014\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE/ION Position, Location and Navigation Symposium - PLANS 2014\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PLANS.2014.6851376\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE/ION Position, Location and Navigation Symposium - PLANS 2014","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PLANS.2014.6851376","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Implementation and performance analysis of smartphone-based 3D PDR system with hybrid motion and heading classifier
In this paper, we present a motion recognition based pedestrian dead reckoning (PDR) system. The difference of smartphone-based PDR system and inertial measurement unit (IMU)-based PDR is that axes of smartphone sensor are changed dependently by pedestrian motions, but IMU-based PDR does not that. To solve this issue, we firstly detect a performed motion and operate a proper PDR algorithm according to the detected motion. We apply this system to many persons to identify its applicability. Especially, a heading classifier having 45 degree resolution is applied. We performed a real field test and analyzed a performance of this system.