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http://dx.doi.org/10.5573/ieie.2015.52.6.095

Stay Point Extraction Method that Improve Accuracy of Location and to Distinguish Between Indoors & Outdoors  

Park, Jin-Gwan (Dept. Computer Engineering, Mokpo National University)
Lee, Seong-Ro (Dept. of Electronics Engineering, Mokpo National University)
Jung, Min-A (Dept. Computer Engineering, Mokpo National University)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.52, no.6, 2015 , pp. 95-104 More about this Journal
Abstract
Recently, collecting and analyzing method of users location has been studied due to the development of mobile devices. There is analyzing method using Semantic Location History in order to identify of characteristics and extract pattern and predict trajectory of users. We should extraction of Stay Point in order to use Semantic Location History. The Conventional extraction method of Stay Point is not accuracy of location of Stay Points because it does not specify the GPS log of users. Also, Conventional extraction method of Stay Point cannot distinguish indoors and outdoors. In this paper, we implement extraction method of Stay Point in which specify the GPS log of users and extraction of Stay Point at indoors only. Stay Point(nearSP) specifies the nearest GPS log of users from generated Stay Point by conventional extraction method. And, Stay Point(indoorSP) specifies the GPS log of users that user get into the building. Our experimental results, accuracy of Stay Point is improved, and capacity of output data decrease than Conventional extraction method. Also, we were able to distinguish Stay Point of indoors and outdoors.
Keywords
Stay Point; GPS Trajectory; Semantic Location; MinUS; nearSP; indoorSP;
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