{"title":"在线内容传递平台的生物特征识别框架","authors":"M. Marras, G. Fenu","doi":"10.1145/3399715.3399969","DOIUrl":null,"url":null,"abstract":"In this paper, we introduce a modular framework that aims to empower online platforms with biometric-related capabilities, minimizing the user's interaction cost. First, we describe core concepts and architectural aspects characterizing the proposed framework. Then, as a use case, we integrate it in an e-learning platform to provide biometric recognition at the time of login and continuous identity verification in well-rounded areas of the platform.","PeriodicalId":149902,"journal":{"name":"Proceedings of the International Conference on Advanced Visual Interfaces","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Framework for Biometric Recognition in Online Content Delivery Platforms\",\"authors\":\"M. Marras, G. Fenu\",\"doi\":\"10.1145/3399715.3399969\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we introduce a modular framework that aims to empower online platforms with biometric-related capabilities, minimizing the user's interaction cost. First, we describe core concepts and architectural aspects characterizing the proposed framework. Then, as a use case, we integrate it in an e-learning platform to provide biometric recognition at the time of login and continuous identity verification in well-rounded areas of the platform.\",\"PeriodicalId\":149902,\"journal\":{\"name\":\"Proceedings of the International Conference on Advanced Visual Interfaces\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the International Conference on Advanced Visual Interfaces\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3399715.3399969\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the International Conference on Advanced Visual Interfaces","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3399715.3399969","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Framework for Biometric Recognition in Online Content Delivery Platforms
In this paper, we introduce a modular framework that aims to empower online platforms with biometric-related capabilities, minimizing the user's interaction cost. First, we describe core concepts and architectural aspects characterizing the proposed framework. Then, as a use case, we integrate it in an e-learning platform to provide biometric recognition at the time of login and continuous identity verification in well-rounded areas of the platform.
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