A. O'Brien, Kevin McDaid, John Loane, Julie Doyle, B. O'Mullane
{"title":"Visualisation of movement of older adults within their homes based on PIR sensor data","authors":"A. O'Brien, Kevin McDaid, John Loane, Julie Doyle, B. O'Mullane","doi":"10.4108/ICST.PERVASIVEHEALTH.2012.248621","DOIUrl":null,"url":null,"abstract":"As the population lives longer, the number of people beyond the age of retirement is rising. Additional support is required to monitor the health of this aging population to ensure early detection of age related illnesses and accordingly to maintain wellbeing. Ambient sensors, such as those used in Great Northern Haven (GNH) residences, allow for continuous monitoring in an unobtrusive manner. In this paper we present visualisations of sensor data drawn from passive infra red (PIR) sensors located in three areas, i.e. the living room, hallway and main bedroom, in each of twelve independent living apartments. This representation of residents' movement can be used to infer changes in movement patterns over time.","PeriodicalId":119950,"journal":{"name":"2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","volume":"216 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4108/ICST.PERVASIVEHEALTH.2012.248621","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 22
Abstract
As the population lives longer, the number of people beyond the age of retirement is rising. Additional support is required to monitor the health of this aging population to ensure early detection of age related illnesses and accordingly to maintain wellbeing. Ambient sensors, such as those used in Great Northern Haven (GNH) residences, allow for continuous monitoring in an unobtrusive manner. In this paper we present visualisations of sensor data drawn from passive infra red (PIR) sensors located in three areas, i.e. the living room, hallway and main bedroom, in each of twelve independent living apartments. This representation of residents' movement can be used to infer changes in movement patterns over time.