{"title":"Recognizing user location context for car navigation devices","authors":"Seiji Matsuyama, Yuichi Tokunaga, R. Kiyohara","doi":"10.1109/ISCE.2016.7797391","DOIUrl":null,"url":null,"abstract":"Many people use on-vehicle information devices on a daily basis. These devices have many useful functions for route guidance, audio services, and gathering traffic information. In addition, smartphones are being used as on-vehicle information devices because of the ubiquity of low-priced applications that can be used. Location context is one of the recognized contexts in our proposed system. The context shows the degree of driving experience with a specific location. Our proposed system requires driver's location context because the context plays an important role in correctly guessing which function is required by a user at any given time. Therefore, we are researching a method for recognizing location context. In the primary stage, we implemented a prototype system based on a simple hypothesis that the familiarity of roads for a user and the frequency of his/her travel are in relative proportion. In this paper, we present an improved method for recognizing the location context.","PeriodicalId":193736,"journal":{"name":"2016 IEEE International Symposium on Consumer Electronics (ISCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Symposium on Consumer Electronics (ISCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCE.2016.7797391","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Many people use on-vehicle information devices on a daily basis. These devices have many useful functions for route guidance, audio services, and gathering traffic information. In addition, smartphones are being used as on-vehicle information devices because of the ubiquity of low-priced applications that can be used. Location context is one of the recognized contexts in our proposed system. The context shows the degree of driving experience with a specific location. Our proposed system requires driver's location context because the context plays an important role in correctly guessing which function is required by a user at any given time. Therefore, we are researching a method for recognizing location context. In the primary stage, we implemented a prototype system based on a simple hypothesis that the familiarity of roads for a user and the frequency of his/her travel are in relative proportion. In this paper, we present an improved method for recognizing the location context.