An control method executed by a computer, the control method includes acquiring a plurality of captured images captured by cameras in an area; presuming a movement state of a first candidate of candidates for persons who have entered the area based on facial images included in the plurality of acquired captured images; determining whether or not a similarity between a past movement state of the first candidate of candidates and the presumed movement state, meets a criterion by reference to a memory that stores past movement states of the candidates for persons who have entered the area; selecting a candidate list that includes the first candidate of candidates among candidate lists of the persons who have entered the area in the past when the similarity meets the criterion; and reading out biometric information included in the selected candidate list from a biometric information database to the memory.

The disclosure is inputting a first image obtained by capturing an object of authentication moving in a specific direction; inputting a second image at least for one eye obtained by capturing a right eye or a left eye of the object; determining whether the second image is of the left eye or the right eye of the object, based on information including the first image, and outputting a determination result associated with the second image as left/right information; comparing characteristic information relevant to the left/right information, the characteristic information being acquired from a memory that stores the characteristic information of a right eye and a left eye pertaining to object to be authenticated, with characteristic information associated with the left/right information, and calculating a verification score; and authenticating the object captured in the first image and the second image, based on the verification score, and outputting an authentication result.

The disclosure is inputting a first image obtained by capturing an object of authentication moving in a specific direction; inputting a second image at least for one eye obtained by capturing a right eye or a left eye of the object; determining whether the second image is of the left eye or the right eye of the object, based on information including the first image, and outputting a determination result associated with the second image as left/right information; comparing characteristic information relevant to the left/right information, the characteristic information being acquired from a memory that stores the characteristic information of a right eye and a left eye pertaining to object to be authenticated, with characteristic information associated with the left/right information, and calculating a verification score; and authenticating the object captured in the first image and the second image, based on the verification score, and outputting an authentication result.

A computing device, such as a wearable device, may include a light source and a photodetector array. The photodetector array may be used to determine a touch event of a user that occurs during a time interval. A subset of the plurality of photodetectors associated with the touch event may provide detection signals at each of a plurality of times within the time interval, which may be aggregated to obtain a time series of aggregated detection signals. Biometric data of the user may be generated, based on the time series of aggregated detection signals.

Systems and methods are provided for recommending media content to users with disabilities. In response to determining that a user has a disability, a type of the disability is determined. A media content item to recommend to the user is determined, among a plurality of media content items, based on the determined type of disability and a favorability factor of the media content item for the determined type of disability. The favorability factor of the media content item corresponds to an ability of a user with the determined type of disability to comprehend the media content item. An identifier of the determined media content item is generated for presentation.

Systems and methods are provided for recommending media content to users with disabilities. In response to determining that a user has a disability, a type of the disability is determined. A media content item to recommend to the user is determined, among a plurality of media content items, based on the determined type of disability and a favorability factor of the media content item for the determined type of disability. The favorability factor of the media content item corresponds to an ability of a user with the determined type of disability to comprehend the media content item. An identifier of the determined media content item is generated for presentation.

A system, method, and media for providing web-based security to a workflow process is presented. Data may be processed in a web-based workflow management system. The system may detect the transfer of high-level security data through the workflow. Upon detection of the data transfers the system may request review and approval in the form of a biometric input from an approved user to allow the data to be transferred.

A region recommendation device determines one or more recommended regions to be recommended to a target person from a plurality of target regions in a target space. The region recommendation device includes a region information acquiring unit that acquires region information regarding the target regions, a recommended region determining unit that determines the one or more recommended regions based on the region information, and a presenting unit. The presenting unit presents, to the target person, the one or more recommended regions and a recommendation reason used to determine the one or more recommended regions.

Introduced here are approaches to authenticating the identity of speakers based on the “liveness” of the input. To prevent spoofing, an authentication platform may establish the likelihood that a voice sample represents a recording of word(s) uttered by a speaker whose identity is to be authenticated and then, based on the likelihood, determine whether to authenticate the speaker.

Introduced here are approaches to authenticating the identity of speakers based on the “liveness” of the input. To prevent spoofing, an authentication platform may establish the likelihood that a voice sample represents a recording of word(s) uttered by a speaker whose identity is to be authenticated and then, based on the likelihood, determine whether to authenticate the speaker.