Eye movement based knowledge demonstration

    公开(公告)号:US10157273B2

    公开(公告)日:2018-12-18

    申请号:US15362450

    申请日:2016-11-28

    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.

    EYE MOVEMENT BASED KNOWLEDGE DEMONSTRATION
    2.
    发明申请

    公开(公告)号:US20170116404A1

    公开(公告)日:2017-04-27

    申请号:US15362450

    申请日:2016-11-28

    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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