{"title":"Smart health monitoring system with IoT","authors":"Siriwan Kajornkasirat, Napat Chanapai, Benjawan Hnusuwan","doi":"10.1109/ISCAIE.2018.8405471","DOIUrl":null,"url":null,"abstract":"This research aim to develop a Smarth Health Monitoring System with Internet of Thing (IoT). The system was designed for collecting data on health through wearable device using API technology. The data composed of energy metabolism, heart rate and moments of sleep. The system was designed to be a web and mobile application. Database system was designed using MySQL software, programming with PHP-script, JavaScript, Java and HTML5. Android studio was used to develop mobile application. Data mining technique with Rule Induction algorithm was used to find an association rules for recommendation system. The results show that the system provided the user profile page for editing user information. The system also provide basic health recommendation to users via mobile application.","PeriodicalId":333327,"journal":{"name":"2018 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCAIE.2018.8405471","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14
Abstract
This research aim to develop a Smarth Health Monitoring System with Internet of Thing (IoT). The system was designed for collecting data on health through wearable device using API technology. The data composed of energy metabolism, heart rate and moments of sleep. The system was designed to be a web and mobile application. Database system was designed using MySQL software, programming with PHP-script, JavaScript, Java and HTML5. Android studio was used to develop mobile application. Data mining technique with Rule Induction algorithm was used to find an association rules for recommendation system. The results show that the system provided the user profile page for editing user information. The system also provide basic health recommendation to users via mobile application.
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