Noureddine Staifi, Said Brahimi, R. Maamri, Meriem Belguidoum
{"title":"Towards a Smart Home for Elder Healthcare","authors":"Noureddine Staifi, Said Brahimi, R. Maamri, Meriem Belguidoum","doi":"10.1109/FiCloud.2019.00039","DOIUrl":null,"url":null,"abstract":"Smart homes play an important role in e-health monitoring, using the various components and devices that intercommunicate with the home system. Thus, it has a huge impact on medical processes, healthcare practices and safety of elder people. Existing e-health monitoring systems do not include optimized techniques which learn the precise patient's behavior to predict future important changes. In this work, we propose a new context-aware system, which monitors daily living activities and evaluates dependency based on the Functional Autonomy Measurement System (SMAF). In fact, our system evaluates a person's dependency, predicts its health condition, detects abnormal situations and risky behavioral changes and offers adapted services.","PeriodicalId":268882,"journal":{"name":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FiCloud.2019.00039","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Smart homes play an important role in e-health monitoring, using the various components and devices that intercommunicate with the home system. Thus, it has a huge impact on medical processes, healthcare practices and safety of elder people. Existing e-health monitoring systems do not include optimized techniques which learn the precise patient's behavior to predict future important changes. In this work, we propose a new context-aware system, which monitors daily living activities and evaluates dependency based on the Functional Autonomy Measurement System (SMAF). In fact, our system evaluates a person's dependency, predicts its health condition, detects abnormal situations and risky behavioral changes and offers adapted services.