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公开(公告)号:US10157273B2
公开(公告)日:2018-12-18
申请号:US15362450
申请日:2016-11-28
Applicant: INTEL CORPORATION
Inventor: Eran Birk , Shai Kavas , Michal Jacob , Omer Ben-Shalom
Abstract: Embodiments of methods, apparatuses, and storage mediums associated with eye movement based knowledge demonstration, having a particular application to authentication, are disclosed. In embodiments, a computing device may determine whether a received input of a pattern of eye movements is consistent with an expected pattern of eye movements of a user when the user attempts to visually locate a piece of information embedded in a display. In embodiments, the expected pattern of eye movements may include patterns related to fixations and/or other statistical patterns, however, may not be limited to such patterns. In applications, determining consistency or correlation with the expected pattern of eye movements may identify the user by simultaneously verifying at least factors of authentication—that of biometric criteria related to a user's pattern of eye movements and a password or other information known to the user.
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公开(公告)号:US20170116404A1
公开(公告)日:2017-04-27
申请号:US15362450
申请日:2016-11-28
Applicant: INTEL CORPORATION
Inventor: Eran Birk , Shai Kavas , Michal Jacob , Omer Ben-Shalom
CPC classification number: G06F21/32 , G06F21/36 , G06K9/00604 , G06K9/00617
Abstract: Embodiments of methods, apparatuses, and storage mediums associated with eye movement based knowledge demonstration, having a particular application to authentication, are disclosed. In embodiments, a computing device may determine whether a received input of a pattern of eye movements is consistent with an expected pattern of eye movements of a user when the user attempts to visually locate a piece of information embedded in a display. In embodiments, the expected pattern of eye movements may include patterns related to fixations and/or other statistical patterns, however, may not be limited to such patterns. In applications, determining consistency or correlation with the expected pattern of eye movements may identify the user by simultaneously verifying at least factors of authentication—that of biometric criteria related to a user's pattern of eye movements and a password or other information known to the user.
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