Abstract: A method for detecting adverse conditions associated with a device includes receiving, at one or more processing devices at one or more locations, one or more image frames; receiving a set of signals representing outputs of one or more sensors of a device; estimating, based on the one or more image frames, a first set of one or more motion values; estimating, based on the set of signals, a second set of one or more motion values; determining that a degree of correlation between (i) a first motion represented by the first set of one or more motion values and (ii) a second motion represented by the second set of one or more motion values fails to satisfy a threshold condition; and in response to determining that the degree of correlation fails to satisfy the threshold condition, determining presence of an adverse condition associated with the device.

Abstract: This specification includes a method that includes receiving, at one or more processing devices at one or more locations, one or more image frames; receiving a set of signals representing outputs of one or more sensors of a device; estimating, based on the one or more image frames, a first set of one or more motion values; estimating, based on the set of signals, a second set of one or more motion values; determining that a degree of correlation between (i) a first motion represented by the first set of one or more motion values and (ii) a second motion represented by the second set of one or more motion values fails to satisfy a threshold condition; and in response to determining that the degree of correlation fails to satisfy the threshold condition, determining presence of an adverse condition associated with the device.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for authenticating a user based on passive affective and knowledge-based authentication (AKBA). In one aspect, a method includes data associated with eye movements and ocular dynamics of the user are captured with a camera as the user looks at a graphical user interface (GUI) of a device; an AKBA signature of the user is determined based on the captured data; the user is authenticated based on a comparison of the AKBA signature with an AKBA template associated with the user; and an access to a subset of functions of an application is granted.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for authenticating a user based on passive affective and knowledge-based authentication (AKBA). In one aspect, a method includes data associated with eye movements and ocular dynamics of the user are captured with a camera as the user looks at a graphical user interface (GUI) of a device; an AKBA signature of the user is determined based on the captured data; the user is authenticated based on a comparison of the AKBA signature with an AKBA template associated with the user; and an access to a subset of functions of an application is granted.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for authenticating a user based on passive affective and knowledge-based authentication (AKBA). In one aspect, a method includes data associated with eye movements and ocular dynamics of the user are captured with a camera as the user looks at a graphical user interface (GUI) of a device; an AKBA signature of the user is determined based on the captured data; the user is authenticated based on a comparison of the AKBA signature with an AKBA template associated with the user; and an access to a subset of functions of an application is granted.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for biometric identity authentication. In one aspect, a method comprises: determining: (i) a plurality of first interest points in a first image of an eye of a first user, and (ii) a plurality of second interest points in a second image of an eye of a second user; determining a plurality of interest point pairs; processing a network input comprising the interest point pairs using an inlier neural network to generate a network output comprising a plurality of inlier scores; and determining whether an identity of the first user matches an identity of the second user based on the inlier scores.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for continuous identity authentication based on gesture data. In one aspect, a method includes receiving gesture data corresponding to one or more gestures received on a touch screen of the mobile device from an individual, generating specific features extracted from the one more gestures, comparing the specific features with gesture data collected on the mobile device from a user previously interacting with the mobile device, and verifying that an identity of the individual matches an identity of the previous user.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for authenticating a user based on passive affective and knowledge-based authentication (AKBA). In one aspect, a method includes data associated with eye movements and ocular dynamics of the user are captured with a camera as the user looks at a graphical user interface (GUI) of a device; an AKBA signature of the user is determined based on the captured data; the user is authenticated based on a comparison of the AKBA signature with an AKBA template associated with the user; and an access to a subset of functions of an application is granted.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for biometric identity authentication. In one aspect, a method comprises: determining: (i) a plurality of first interest points in a first image of an eye of a first user, and (ii) a plurality of second interest points in a second image of an eye of a second user; determining a plurality of interest point pairs; processing a network input comprising the interest point pairs using an inlier neural network to generate a network output comprising a plurality of inlier scores; and determining whether an identity of the first user matches an identity of the second user based on the inlier scores.

Abstract: Methods and systems for eye gaze tracking are provided, in which a plurality of images of at least one eye are received and, for each image of the eye(s), a plurality of stable vascular points associated with a vasculature of the eye(s) are identified. Based on the identified stable vascular points in the received images of the eye(s), a gaze angle of the eye(s) is determined.

Abstract: Methods and systems for eye gaze tracking are provided, in which a plurality of images of at least one eye are received and, for each image of the eye(s), a plurality of stable vascular points associated with a vasculature of the eye(s) are identified. Based on the identified stable vascular points in the received images of the eye(s), a gaze angle of the eye(s) is determined.