{"title":"Diet monitoring and management of diabetic patient using robot assistant based on Internet of Things","authors":"Shreejay Mall, Mansi Gupta, Rahul Chauhan","doi":"10.1109/ICETCCT.2017.8280339","DOIUrl":null,"url":null,"abstract":"This paper is presented to improve the eHealth care platform by using Robots which are connected through IoT for providing personalized multiple-care approach particularly to a diabetic patient. The architecture of this model is such that it makes use of Internet of Things for Disease Management Hub web-centric platform which is then wirelessly connected to the robot. The robot has a chain of capillary networks in it which contains medicals sensors and sensor for dietary monitoring of the diabetic patient and thus provides them with fully multidimensional-care. The architecture of software is built so simply that even a person with little knowledge of platform can develop various applications out of it. This is possible by using the multi-layer approach which is working on the principle of automatic service delivery and object virtualization.","PeriodicalId":436902,"journal":{"name":"2017 International Conference on Emerging Trends in Computing and Communication Technologies (ICETCCT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Emerging Trends in Computing and Communication Technologies (ICETCCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICETCCT.2017.8280339","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
This paper is presented to improve the eHealth care platform by using Robots which are connected through IoT for providing personalized multiple-care approach particularly to a diabetic patient. The architecture of this model is such that it makes use of Internet of Things for Disease Management Hub web-centric platform which is then wirelessly connected to the robot. The robot has a chain of capillary networks in it which contains medicals sensors and sensor for dietary monitoring of the diabetic patient and thus provides them with fully multidimensional-care. The architecture of software is built so simply that even a person with little knowledge of platform can develop various applications out of it. This is possible by using the multi-layer approach which is working on the principle of automatic service delivery and object virtualization.