{"title":"使用具有关键点的图形密码的基于注视的身份验证方法","authors":"Yuki Yamato, Shin Takahashi","doi":"10.1145/3520495.3520527","DOIUrl":null,"url":null,"abstract":"We propose a gaze-based authentication method using a new type of graphical password. After registering keypoints in an image as a secret, the user can unlock the device by gazing at them in the registered order on a randomly displayed image. We present the design and implementation of our authentication method and report the results of a feasibility study utilizing mobile devices. Our prototype implementation achieved an acceptance rate of 86.0%.","PeriodicalId":290959,"journal":{"name":"Proceedings of the 33rd Australian Conference on Human-Computer Interaction","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Gaze-Based Authentication Method Using Graphical Passwords Featuring Keypoints\",\"authors\":\"Yuki Yamato, Shin Takahashi\",\"doi\":\"10.1145/3520495.3520527\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a gaze-based authentication method using a new type of graphical password. After registering keypoints in an image as a secret, the user can unlock the device by gazing at them in the registered order on a randomly displayed image. We present the design and implementation of our authentication method and report the results of a feasibility study utilizing mobile devices. Our prototype implementation achieved an acceptance rate of 86.0%.\",\"PeriodicalId\":290959,\"journal\":{\"name\":\"Proceedings of the 33rd Australian Conference on Human-Computer Interaction\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 33rd Australian Conference on Human-Computer Interaction\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3520495.3520527\",\"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 33rd Australian Conference on Human-Computer Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3520495.3520527","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Gaze-Based Authentication Method Using Graphical Passwords Featuring Keypoints
We propose a gaze-based authentication method using a new type of graphical password. After registering keypoints in an image as a secret, the user can unlock the device by gazing at them in the registered order on a randomly displayed image. We present the design and implementation of our authentication method and report the results of a feasibility study utilizing mobile devices. Our prototype implementation achieved an acceptance rate of 86.0%.
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