{"title":"ElderSense, an IoT system for the elderly living independently","authors":"Zhong Han Kong, C. Yeo","doi":"10.1109/ISCE.2018.8408920","DOIUrl":null,"url":null,"abstract":"This paper describes the implementation of an inexpensive ‘do-it-yourself (DIY)’ smart home system which allows for an unobtrusive and non-invasive monitoring system of the elderly's well-being in their own home using motion sensors. The system gathers the data from the sensors to learn and understand the behaviors of elderlies throughout the day. The activities will be presented to family members in a user-friendly manner via Android apps so that they can make better informed decisions with regards to ensuring the elderlies' safety and well-being. Alerts will be sent to both the elderly's mobile as well as that of family member when the system detects anomalies. The implementation involves the use of Passive Infrared (PIR) Sensors, connected to a Raspberry Pi (RPi 3). Data is stored at a backend for processing. The elderly's activities and alerts displayed or sent to a mobile application developed for this purpose.","PeriodicalId":114660,"journal":{"name":"2018 International Symposium on Consumer Technologies (ISCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Symposium on Consumer Technologies (ISCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCE.2018.8408920","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
This paper describes the implementation of an inexpensive ‘do-it-yourself (DIY)’ smart home system which allows for an unobtrusive and non-invasive monitoring system of the elderly's well-being in their own home using motion sensors. The system gathers the data from the sensors to learn and understand the behaviors of elderlies throughout the day. The activities will be presented to family members in a user-friendly manner via Android apps so that they can make better informed decisions with regards to ensuring the elderlies' safety and well-being. Alerts will be sent to both the elderly's mobile as well as that of family member when the system detects anomalies. The implementation involves the use of Passive Infrared (PIR) Sensors, connected to a Raspberry Pi (RPi 3). Data is stored at a backend for processing. The elderly's activities and alerts displayed or sent to a mobile application developed for this purpose.