{"title":"Incremental motion-based location recognition","authors":"Seon-Woo Lee, K. Mase","doi":"10.1109/ISWC.2001.962113","DOIUrl":null,"url":null,"abstract":"This paper describes a method to recognize the current location of a user using a few simple sensors. The proposed method is based on the integration of incremental motions (e.g., walking) over time to determine location transitions. To handle uncertainty, a fuzzy reasoning method is introduced. The paper also describes a prototype location recognition system that uses a set of inexpensive and wearable sensors, a bi-axial accelerometer and a digital compass. The system uses a reliable motion recognition method featuring only two directional acceleration measurements. The effectiveness of the proposed method is demonstrated by experiments at six locations in an indoor environment.","PeriodicalId":239921,"journal":{"name":"Proceedings Fifth International Symposium on Wearable Computers","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"29","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Fifth International Symposium on Wearable Computers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISWC.2001.962113","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 29
Abstract
This paper describes a method to recognize the current location of a user using a few simple sensors. The proposed method is based on the integration of incremental motions (e.g., walking) over time to determine location transitions. To handle uncertainty, a fuzzy reasoning method is introduced. The paper also describes a prototype location recognition system that uses a set of inexpensive and wearable sensors, a bi-axial accelerometer and a digital compass. The system uses a reliable motion recognition method featuring only two directional acceleration measurements. The effectiveness of the proposed method is demonstrated by experiments at six locations in an indoor environment.