{"title":"Introducing a low-cost ambient monitoring system for activity recognition","authors":"S. Chiriac, B. Saurer, Gabi Stummer, C. Kunze","doi":"10.4108/ICST.PERVASIVEHEALTH.2011.246003","DOIUrl":null,"url":null,"abstract":"Within an aging society new approaches to support elderly people to live on their own are gaining a lot of attention. In the context of ambient assisted living we developed a low-cost ambient monitoring system for activity recognition. The system is based on smart meter technology and home automation sensors. First test installations in a living lab environment and in non-target group households showed promising results regarding the projected rollout in 100 households. Reference data is collected through assessments and self documentation. We established a central web platform to connect the monitoring data with assessment results. In the future researchers will get access to the database to develop and test new assistive systems.","PeriodicalId":444978,"journal":{"name":"2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH.2011.246003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
Within an aging society new approaches to support elderly people to live on their own are gaining a lot of attention. In the context of ambient assisted living we developed a low-cost ambient monitoring system for activity recognition. The system is based on smart meter technology and home automation sensors. First test installations in a living lab environment and in non-target group households showed promising results regarding the projected rollout in 100 households. Reference data is collected through assessments and self documentation. We established a central web platform to connect the monitoring data with assessment results. In the future researchers will get access to the database to develop and test new assistive systems.