{"title":"A wearable augmented reality system with personal positioning based on walking locomotion analysis","authors":"M. Kourogi, T. Kurata","doi":"10.1109/ISMAR.2003.1240751","DOIUrl":null,"url":null,"abstract":"In this paper, we present a wearable augmented reality (AR) system with personal positioning based on walking locomotion analysis that allows a user to freely mover around indoors and outdoors. The user is equipped with self-contained sensors, a wearable camera, an inertial head tracker and display. The system is based on the sensor fusion of estimates for relative displacement caused by human walking locomotion and estimates for absolute position and orientation within a Kalman filtering framework. The former is based on intensive analysis of human walking behavior using self-contained sensors. The latter is based on image matching of video frames from a wearable camera with an image database that was prepared beforehand.","PeriodicalId":296266,"journal":{"name":"The Second IEEE and ACM International Symposium on Mixed and Augmented Reality, 2003. Proceedings.","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Second IEEE and ACM International Symposium on Mixed and Augmented Reality, 2003. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISMAR.2003.1240751","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17
Abstract
In this paper, we present a wearable augmented reality (AR) system with personal positioning based on walking locomotion analysis that allows a user to freely mover around indoors and outdoors. The user is equipped with self-contained sensors, a wearable camera, an inertial head tracker and display. The system is based on the sensor fusion of estimates for relative displacement caused by human walking locomotion and estimates for absolute position and orientation within a Kalman filtering framework. The former is based on intensive analysis of human walking behavior using self-contained sensors. The latter is based on image matching of video frames from a wearable camera with an image database that was prepared beforehand.
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