{"title":"上下文感知练习系统的设计论文","authors":"Wen-Fong Wang, Wei-Jing Liou","doi":"10.1109/ISIC.2012.6449713","DOIUrl":null,"url":null,"abstract":"Recently, context aware has become a popular topic in ubiquitous computing. Most context-aware research combines embedded system devices with context-aware systems to realize a ubiquitous environment. This study proposes a Daily Exercise Context Aware Ontology Model (DEOCAM) and builds a Context Aware Exercise System (CAES), which is free of space limitation. CAES is composed of three parts: Personal Exercise Management System (PEMS), Context Aware System (CAS) and Context Sharing Network Platform (CSNP). The purpose of the system is to recognize the daily activities of users, which is helpful in exercise monitoring for health management. Our experimental results show that the system is effective and feasible for daily activity contexts recognition and moving distance computation.","PeriodicalId":393653,"journal":{"name":"2012 International Conference on Information Security and Intelligent Control","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design of a Context Aware Exercise System paper\",\"authors\":\"Wen-Fong Wang, Wei-Jing Liou\",\"doi\":\"10.1109/ISIC.2012.6449713\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recently, context aware has become a popular topic in ubiquitous computing. Most context-aware research combines embedded system devices with context-aware systems to realize a ubiquitous environment. This study proposes a Daily Exercise Context Aware Ontology Model (DEOCAM) and builds a Context Aware Exercise System (CAES), which is free of space limitation. CAES is composed of three parts: Personal Exercise Management System (PEMS), Context Aware System (CAS) and Context Sharing Network Platform (CSNP). The purpose of the system is to recognize the daily activities of users, which is helpful in exercise monitoring for health management. Our experimental results show that the system is effective and feasible for daily activity contexts recognition and moving distance computation.\",\"PeriodicalId\":393653,\"journal\":{\"name\":\"2012 International Conference on Information Security and Intelligent Control\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Conference on Information Security and Intelligent Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISIC.2012.6449713\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Information Security and Intelligent Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIC.2012.6449713","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Recently, context aware has become a popular topic in ubiquitous computing. Most context-aware research combines embedded system devices with context-aware systems to realize a ubiquitous environment. This study proposes a Daily Exercise Context Aware Ontology Model (DEOCAM) and builds a Context Aware Exercise System (CAES), which is free of space limitation. CAES is composed of three parts: Personal Exercise Management System (PEMS), Context Aware System (CAS) and Context Sharing Network Platform (CSNP). The purpose of the system is to recognize the daily activities of users, which is helpful in exercise monitoring for health management. Our experimental results show that the system is effective and feasible for daily activity contexts recognition and moving distance computation.