Data encryption and Human Pose Estimation based on imaging a body segment. A key for encrypting a data file is generated based on image data that represent a unique biometric feature of a body segment of a user or motion of the user. An image engine executes artificial intelligence to identify matching image data for decrypting the data file. The image engine is further trained to predict changes in image data due to aging, stress, and the like. An avatar associated with the user, which is generated based on a movement pattern of the user, is configurable for generating an encryption key and for use in an avatar-based language.

A control method includes obtaining feature data using at least one sensor, the feature data being acquired by the terminal using the at least one sensor, generating an action instruction based on the feature data and a decision-making mechanism of the terminal, and executing the action instruction. In this application, various aspects of feature data are acquired using a plurality of sensors, data analysis is performed on the feature data, and a corresponding action instruction is then generated based on a corresponding decision-making mechanism to implement interactive control.

A system for remote identity verification including a computing device configured to capture a first image of the user a first distance and capture a second image at a second distance and then processing the images to create one or more facemaps. The facemaps are processed to verify that the images were captured from a live person. If the facemaps represents a live person, the facemaps and a user identifying code are sent to a trusted image server. The rusted image server configured to, using the user ID code, retrieve a trusted image from a database and generate a trusted image facemaps. Then, compare captured image facemaps to the trusted image facemaps. Responsive to a match between the captured image facemaps and the trusted image facemaps, send a message to the computing device, a third-party server, or both providing notice of the match.

A system for remote identity verification including a computing device configured to capture a first image of the user a first distance and capture a second image at a second distance and then processing the images to create one or more facemaps. The facemaps are processed to verify that the images were captured from a live person. If the facemaps represents a live person, the facemaps and a user identifying code are sent to a trusted image server. The rusted image server configured to, using the user ID code, retrieve a trusted image from a database and generate a trusted image facemaps. Then, compare captured image facemaps to the trusted image facemaps. Responsive to a match between the captured image facemaps and the trusted image facemaps, send a message to the computing device, a third-party server, or both providing notice of the match.

Systems and methods for customizing an output based on user data are described herein. An example method for customizing an output based on user data may commence with continuously capturing, by at least one sensor, the user data. The method may continue with analyzing, by at least one computing resource, the user data received from the at least one sensor and determining dependencies between the user data and output data. The method may further include determining, based on predetermined criteria, that an amount of the user data and the dependencies is sufficient to customize the output data. The method may continue with continuously customizing, by an adaptive interface, the output data using at least one machine learning technique based on the analysis of the user data. The customized output data may be intended to elicit a personalized change.

Techniques are described herein for dialog-based enrollment of individual users for single- and/or multi-modal recognition by an automated assistant, as well as determining how to respond to a particular user's request based on the particular user being enrolled and/or recognized. Rather than requiring operation of a graphical user interface for individual enrollment, dialog-based enrollment enables users to enroll themselves (or others) by way of a human-to-computer dialog with the automated assistant.

Techniques are described herein for dialog-based enrollment of individual users for single- and/or multi-modal recognition by an automated assistant, as well as determining how to respond to a particular user's request based on the particular user being enrolled and/or recognized. Rather than requiring operation of a graphical user interface for individual enrollment, dialog-based enrollment enables users to enroll themselves (or others) by way of a human-to-computer dialog with the automated assistant.

An information processing apparatus (100) includes an acquisition unit (122) that acquires a first image from which person region feature information regarding a region including other than a face of a retrieval target person is extracted, a second image in which a collation result with the person region feature information indicates a match, and a facial region is detected, and result information indicating a collation result between face information stored in a storage unit and face information extracted from the facial region, and a display processing unit (130) that displays at least two of the first image, the second image, and the result information on an identical screen.

An information processing apparatus (100) includes an acquisition unit (122) that acquires a first image from which person region feature information regarding a region including other than a face of a retrieval target person is extracted, a second image in which a collation result with the person region feature information indicates a match, and a facial region is detected, and result information indicating a collation result between face information stored in a storage unit and face information extracted from the facial region, and a display processing unit (130) that displays at least two of the first image, the second image, and the result information on an identical screen.

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.