Abstract: A computer-implemented method comprises: obtaining, by the settlement device, a biometric feature of the user; determining, by the settlement device, that the obtained biometric feature matches a stored biometric feature, wherein the stored biometric feature corresponds to an account identifier; and in response to determining that the obtained biometric feature matches the stored biometric feature, performing, by the settlement device, a settlement of an account associated with the account identifier that corresponds to the stored biometric feature.

Abstract: A method includes: receiving, at a server and from an augmented reality device, user information of a user using the augmented reality device; generating, by the server, a picture feature sample sub-library corresponding to the user information, including screening out, from a preset picture feature sample library, picture feature samples associated with the user information; and providing, to the augmented reality device, the picture feature sample sub-library, wherein the picture feature sample sub-library can be configured to be used by the augmented reality device to perform, during image scanning of an offline environment of the user, image recognition of images scanned from the offline environment by comparing the scanned images to picture features in the picture feature sample sub-library.

Abstract: A method for offline-service multi-user interaction based on augmented reality (AR) includes scanning, by an AR client terminal of a user, an offline service label at an offline service site. Information of the offline service label is transmitted to a server terminal. Based on the information of the offline service label, the server terminal establishes a service group including the user and a second user that scanned the offline service label. In response to transmitting the information of the offline service label, service data is received from the server terminal. The service data includes information related to the user and information related to the second user. Based on the service data, a service interactive interface is outputted. The service interactive interface displays the information related to the user and the information related to the second user at a position corresponding to the offline service label in an AR scene.

Abstract: An augmented reality (AR) client terminal identifies initial location information for a location of a user. A scene picture associated with the location of the user is captured. Image matching is performed between the captured scene picture and scene pictures in a scene picture set. The scene picture set is generated based on the initial location information. Each scene picture in the scene picture set is associated with detailed location information. In response to the captured scene picture matching a particular scene picture in the scene picture set, refined location information for the location of the user is determined based on the detailed location information of the particular scene picture.

Abstract: Interaction characteristics of a user interacting with a virtual reality (VR) terminal are obtained through preset sensing hardware in response to a request for execution of a target task requiring user identity verification. The obtained interaction characteristics of the user are compared with preset interaction characteristics of an authorized user of the VR terminal to verify identity of the user. The target task is executed and the user is authenticated as an identity-verified user of the VR terminal based on a successful user identity verification.

Abstract: A method for service control and user identity authentication includes recognizing a voice command of a virtual reality (VR) device user for initiating a service supported by a VR application, using a biometric sensor to collect one or more biometric characteristics of the VR device user, performing user identity authentication based on the collected one or more biometric characteristics, and communicating with a server that provides the service for performing the service if the user identity authentication is successful.

Abstract: A method for user identity authentication using virtual reality includes presenting one or more virtual elements on a virtual reality (VR) scenario of a VR application for initiating a service, identifying, using one or more sensors communicably coupled to the VR device, one or more interactive operations of a user of the VR device with the one or more virtual elements, determining whether the one or more interactive operations match one or more predetermined operations for selecting the one or more virtual elements to initiate the service and trigger biometric authentication for user identity authentication, invoking biometric authentication if the one or more interactive operations match one or more predetermined operations, presenting a virtual guidance in the VR scenario for guiding the user to perform the biometric authentication, and presenting a service interface to the user if the biometric authentication is successful.

Abstract: A statistics-based machine translation method is disclosed. The method generates probabilities of translation from a sentence to be translated to candidate translated texts based on features of the candidate translated texts that affect the probabilities of translation and a pre-generated translation probability prediction model. The features that affect probabilities of translation include at least degrees of semantic similarity between the sentence to be translated and the candidate translated texts. A preset number of candidate translated texts with highly ranked probabilities of translation are selected to serve as translated texts of the sentence to be translated. The method is able to go deep into a semantic level of a natural language when a machine translation model is constructed to avoid a semantic deviation of a translated text from an original text, thereby achieving the effect of improving the quality of translation.

Abstract: Novel and advantageous systems and methods for performing nanometer-scale microscopy using graphene plasmons (GPs) are provided. Sub-diffraction microscopy can be achieved, taking advantage of the extremely small plasmon wavelength and low dissipation of GPs. Nanometer-scale resolution can be obtained under very weak light intensity, which is especially important in the imaging of biological systems.