{"title":"基于Apple iOS平台的健康提醒系统设计与实现","authors":"Shi Ge, Huichao Huang, Jing-Chiou Liou","doi":"10.1109/icaice54393.2021.00118","DOIUrl":null,"url":null,"abstract":"This study provides a preliminary understanding of the effectiveness of wearable devices used for health information monitoring and alerting on health hazards. The article designs a health reminder system tracking client based on platform of Apple's iOS system, and it downloads scientific exercise prescriptions from health cloud via iOS system-based intelligent mobile terminal device. These suggestions on scientific exercise are proposed by comprehensively calculating personal information of users, and through wearable devices, physiological data of users in obeying exercise prescriptions can be monitored. In accordance with build-in coprocessor of Apple mobile devices, basic exercise data of users is obtained, which facilitates tracking and evaluating execution intensity and progress of exercise prescriptions, so as to achieve scientific and effective health reminders.","PeriodicalId":388444,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On Design and Implementation of Health Reminder System Based on Apple iOS Platform\",\"authors\":\"Shi Ge, Huichao Huang, Jing-Chiou Liou\",\"doi\":\"10.1109/icaice54393.2021.00118\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study provides a preliminary understanding of the effectiveness of wearable devices used for health information monitoring and alerting on health hazards. The article designs a health reminder system tracking client based on platform of Apple's iOS system, and it downloads scientific exercise prescriptions from health cloud via iOS system-based intelligent mobile terminal device. These suggestions on scientific exercise are proposed by comprehensively calculating personal information of users, and through wearable devices, physiological data of users in obeying exercise prescriptions can be monitored. In accordance with build-in coprocessor of Apple mobile devices, basic exercise data of users is obtained, which facilitates tracking and evaluating execution intensity and progress of exercise prescriptions, so as to achieve scientific and effective health reminders.\",\"PeriodicalId\":388444,\"journal\":{\"name\":\"2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE)\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/icaice54393.2021.00118\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icaice54393.2021.00118","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On Design and Implementation of Health Reminder System Based on Apple iOS Platform
This study provides a preliminary understanding of the effectiveness of wearable devices used for health information monitoring and alerting on health hazards. The article designs a health reminder system tracking client based on platform of Apple's iOS system, and it downloads scientific exercise prescriptions from health cloud via iOS system-based intelligent mobile terminal device. These suggestions on scientific exercise are proposed by comprehensively calculating personal information of users, and through wearable devices, physiological data of users in obeying exercise prescriptions can be monitored. In accordance with build-in coprocessor of Apple mobile devices, basic exercise data of users is obtained, which facilitates tracking and evaluating execution intensity and progress of exercise prescriptions, so as to achieve scientific and effective health reminders.