Daeho Kim, Taegyu Hwang, Sanghoon Choi, Ikhyun Cho, Jiman Hong
{"title":"HILF:混合室内定位框架","authors":"Daeho Kim, Taegyu Hwang, Sanghoon Choi, Ikhyun Cho, Jiman Hong","doi":"10.1145/2663761.2664196","DOIUrl":null,"url":null,"abstract":"As smart devices with sensors have become increasingly common, several studies on indoor location tracking techniques used with smart devices have been conducted. However, current studies of indoor locating techniques possess weaknesses based on the type of resources these techniques employ. In this paper, we propose a hybrid indoor locating framework for tracking a device's current location by using step detection and Wi-Fi fingerprinting. The framework thus introduces a technique that combines the use of two resources.","PeriodicalId":120340,"journal":{"name":"Research in Adaptive and Convergent Systems","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"HILF: hybrid indoor locating framework\",\"authors\":\"Daeho Kim, Taegyu Hwang, Sanghoon Choi, Ikhyun Cho, Jiman Hong\",\"doi\":\"10.1145/2663761.2664196\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As smart devices with sensors have become increasingly common, several studies on indoor location tracking techniques used with smart devices have been conducted. However, current studies of indoor locating techniques possess weaknesses based on the type of resources these techniques employ. In this paper, we propose a hybrid indoor locating framework for tracking a device's current location by using step detection and Wi-Fi fingerprinting. The framework thus introduces a technique that combines the use of two resources.\",\"PeriodicalId\":120340,\"journal\":{\"name\":\"Research in Adaptive and Convergent Systems\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Research in Adaptive and Convergent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2663761.2664196\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research in Adaptive and Convergent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2663761.2664196","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
As smart devices with sensors have become increasingly common, several studies on indoor location tracking techniques used with smart devices have been conducted. However, current studies of indoor locating techniques possess weaknesses based on the type of resources these techniques employ. In this paper, we propose a hybrid indoor locating framework for tracking a device's current location by using step detection and Wi-Fi fingerprinting. The framework thus introduces a technique that combines the use of two resources.
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