{"title":"Design and Realization of Alzheimer's Artificial Intelligence Technologies (AAIT) System","authors":"Anna Zhang, Ker-Jiun Wang, Zhihong Mao","doi":"10.1109/FiCloud.2018.00028","DOIUrl":null,"url":null,"abstract":"This paper provides an innovative way of improving the quality of the lives of those living with Alzheimer's by designing and implementing a cost-effective Alzheimer's Artificial Intelligence Technologies (AAIT) system. Specifically, this paper describes the solution architecture as well as the design, deployment, and realization of an artificial intelligence enabled system with Internet of Things services, alert services, big data collection, scenarios, and patient data analysis tools. In order to create a faster prototype system for AAIT, a sandbox based approach is presented to leverage workflow automation and Internet services connection platforms. Finally, the conclusions and future directions of AAIT are presented.","PeriodicalId":174838,"journal":{"name":"2018 IEEE 6th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 6th International Conference on Future Internet of Things and Cloud (FiCloud)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FiCloud.2018.00028","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper provides an innovative way of improving the quality of the lives of those living with Alzheimer's by designing and implementing a cost-effective Alzheimer's Artificial Intelligence Technologies (AAIT) system. Specifically, this paper describes the solution architecture as well as the design, deployment, and realization of an artificial intelligence enabled system with Internet of Things services, alert services, big data collection, scenarios, and patient data analysis tools. In order to create a faster prototype system for AAIT, a sandbox based approach is presented to leverage workflow automation and Internet services connection platforms. Finally, the conclusions and future directions of AAIT are presented.