{"title":"The Study of Smart Elderly Care System","authors":"Yu-Hung Lu, Chung-Chih Lin","doi":"10.1109/ICIST.2018.8426110","DOIUrl":null,"url":null,"abstract":"The rapid aging of the global population has become a topic valued by all countries. At the same time, it also makes the issue of elderly care increasingly important. This paper focuses on elderly care institutions and proposes four care indicators. The four indicators are physiological function tracking, activity domain monitoring, fall prevention, and emergency help. This paper mainly uses smart clothes, BLE components and indoor positioning algorithm for smart elderly care system to collect the data from the residents in their daily life. After collecting the data, we will analyze the data to figure out the indicators we mention above. BLE components also have wearable detection, low power and signal loss warnings from preventing the device problem. Currently, this smart elderly care system is already imported to Taiwan's long-term care institutions.","PeriodicalId":331555,"journal":{"name":"2018 Eighth International Conference on Information Science and Technology (ICIST)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Eighth International Conference on Information Science and Technology (ICIST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIST.2018.8426110","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
The rapid aging of the global population has become a topic valued by all countries. At the same time, it also makes the issue of elderly care increasingly important. This paper focuses on elderly care institutions and proposes four care indicators. The four indicators are physiological function tracking, activity domain monitoring, fall prevention, and emergency help. This paper mainly uses smart clothes, BLE components and indoor positioning algorithm for smart elderly care system to collect the data from the residents in their daily life. After collecting the data, we will analyze the data to figure out the indicators we mention above. BLE components also have wearable detection, low power and signal loss warnings from preventing the device problem. Currently, this smart elderly care system is already imported to Taiwan's long-term care institutions.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
