Ng Ming Fung, Jackson Wong Sing Ann, Yew Hoe Tung, Chung Seng Kheau, A. Chekima
{"title":"Elderly Fall Detection and Location Tracking System Using Heterogeneous Wireless Networks","authors":"Ng Ming Fung, Jackson Wong Sing Ann, Yew Hoe Tung, Chung Seng Kheau, A. Chekima","doi":"10.1109/ISCAIE.2019.8743664","DOIUrl":null,"url":null,"abstract":"Elderly may encounter problems if they are living alone with their poor health condition at their old age. In this paper, a prototype of elderly fall detection and location tracking system is developed by using the Global Positioning System (GPS), Global System for Mobile communications (GSM), Wi-Fi and Arduino technologies. The proposed system is a wearable hardware equipped with cellular network and Wi-Fi connectivity for sending an emergency alert in multiples ways such as Short Message Services (SMS) and email in case of fall detected. The location coordinate is extracted from a GPS module and sent together with emergency alerts in the form of Google Map link to caretaker for immediate action. The prototype is tested. It sends emergency SMS and Email via GSM and cloud server, respectively, if a fall is detected. Moreover, the proposed system stored the fall event details on cloud server and display on a webpage.","PeriodicalId":369098,"journal":{"name":"2019 IEEE 9th Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 9th Symposium on Computer Applications & Industrial Electronics (ISCAIE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCAIE.2019.8743664","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
Elderly may encounter problems if they are living alone with their poor health condition at their old age. In this paper, a prototype of elderly fall detection and location tracking system is developed by using the Global Positioning System (GPS), Global System for Mobile communications (GSM), Wi-Fi and Arduino technologies. The proposed system is a wearable hardware equipped with cellular network and Wi-Fi connectivity for sending an emergency alert in multiples ways such as Short Message Services (SMS) and email in case of fall detected. The location coordinate is extracted from a GPS module and sent together with emergency alerts in the form of Google Map link to caretaker for immediate action. The prototype is tested. It sends emergency SMS and Email via GSM and cloud server, respectively, if a fall is detected. Moreover, the proposed system stored the fall event details on cloud server and display on a webpage.