M. S. Astriani, R. Bahana, A. Kurniawan, Lee Huey Yi
{"title":"Pervasive Health Monitoring System for Activity Detection","authors":"M. S. Astriani, R. Bahana, A. Kurniawan, Lee Huey Yi","doi":"10.1109/ICIMTech50083.2020.9211140","DOIUrl":null,"url":null,"abstract":"The increasing in aging population and long-life for elderly to maintaining mobility is becoming increasingly critical. However, sometimes there are situations where no one can accompany, especially if they are going out so that the person is out of control. Time limitations are often seen as the main cause of the absence of people accompanying them, so the availability of a system that can detect human activities or falls automatically becomes very important. Pervasive computing implemented by using smartphone can improve the quality of service by monitoring the user. Pervasive health monitory system provides activity detection and activity monitoring features to help user to see their activity profile, give suggestion to user, and notify the family or caretaker if the user fallen or show unusual activity. This proposed solution has a great impact for elderly to avoid more deadly risks rather than not using this solution because no one knows about the incident.","PeriodicalId":407765,"journal":{"name":"2020 International Conference on Information Management and Technology (ICIMTech)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Information Management and Technology (ICIMTech)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIMTech50083.2020.9211140","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The increasing in aging population and long-life for elderly to maintaining mobility is becoming increasingly critical. However, sometimes there are situations where no one can accompany, especially if they are going out so that the person is out of control. Time limitations are often seen as the main cause of the absence of people accompanying them, so the availability of a system that can detect human activities or falls automatically becomes very important. Pervasive computing implemented by using smartphone can improve the quality of service by monitoring the user. Pervasive health monitory system provides activity detection and activity monitoring features to help user to see their activity profile, give suggestion to user, and notify the family or caretaker if the user fallen or show unusual activity. This proposed solution has a great impact for elderly to avoid more deadly risks rather than not using this solution because no one knows about the incident.