{"title":"海报:移动电话的虚拟传感框架","authors":"J. Hammer, Tingxin Yan","doi":"10.1145/2594368.2601457","DOIUrl":null,"url":null,"abstract":"This work presents a virtual sensing framework by exploiting operating system events for energy efficient context inference. Specifically, we present a novel set of features that can be extracted from virtual sensors and used to infer the logical status of mobile users, such as isWorking, isSocial, and isStressful. The preliminary results indicate promising inference performance and suggest a wide range of applications of the proposed framework.","PeriodicalId":131209,"journal":{"name":"Proceedings of the 12th annual international conference on Mobile systems, applications, and services","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Poster: A virtual sensing framework for mobile phones\",\"authors\":\"J. Hammer, Tingxin Yan\",\"doi\":\"10.1145/2594368.2601457\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work presents a virtual sensing framework by exploiting operating system events for energy efficient context inference. Specifically, we present a novel set of features that can be extracted from virtual sensors and used to infer the logical status of mobile users, such as isWorking, isSocial, and isStressful. The preliminary results indicate promising inference performance and suggest a wide range of applications of the proposed framework.\",\"PeriodicalId\":131209,\"journal\":{\"name\":\"Proceedings of the 12th annual international conference on Mobile systems, applications, and services\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 12th annual international conference on Mobile systems, applications, and services\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2594368.2601457\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 12th annual international conference on Mobile systems, applications, and services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2594368.2601457","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Poster: A virtual sensing framework for mobile phones
This work presents a virtual sensing framework by exploiting operating system events for energy efficient context inference. Specifically, we present a novel set of features that can be extracted from virtual sensors and used to infer the logical status of mobile users, such as isWorking, isSocial, and isStressful. The preliminary results indicate promising inference performance and suggest a wide range of applications of the proposed framework.