{"title":"hSpy: An intelligent framework for context and predictive analysis for smarter health devices","authors":"E. Oliveira, M. Kirley, Elena Vanz, Kiev Gama","doi":"10.1109/ICTC.2014.6983083","DOIUrl":null,"url":null,"abstract":"The world is experiencing an unprecedented explosion in the number of smart devices and mobile apps available. In particular in health area devices and technologies related to market place are often restricted to proprietary platforms, typically working in isolation with fixed hardware settings. Gaining access to high-quality data - including aggregated data from existing sensors, gadgets and smart devices is one important challenge. This article explores the idea of hSpy, an intelligent framework to support context and predictive analysis based on the integration of distributed and heterogeneous mobile sensor data for smarter health devices. hSpy aims to help users monitoring their current health status via the acquisition of meaningful and accurate information.","PeriodicalId":299228,"journal":{"name":"2014 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Information and Communication Technology Convergence (ICTC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTC.2014.6983083","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The world is experiencing an unprecedented explosion in the number of smart devices and mobile apps available. In particular in health area devices and technologies related to market place are often restricted to proprietary platforms, typically working in isolation with fixed hardware settings. Gaining access to high-quality data - including aggregated data from existing sensors, gadgets and smart devices is one important challenge. This article explores the idea of hSpy, an intelligent framework to support context and predictive analysis based on the integration of distributed and heterogeneous mobile sensor data for smarter health devices. hSpy aims to help users monitoring their current health status via the acquisition of meaningful and accurate information.