589 results about "Registered user" patented technology

The invention discloses an AI virtual coach training system based on standard action matching and deviation feedback, which relates to the technical field of AI virtual coach training systems and comprises a user modeling module, an action acquisition module, a template matching module, a deviation calculation module, a feedback generation module, an interactive presentation module and a learning optimization module. The user modeling module is used for modeling a registered user by adopting a body parameter acquisition and health data analysis method to obtain a user personalized feature vector; the action acquisition module is used for capturing actions executed by a user in real time by adopting a multi-source sensor fusion method to obtain a time sequence containing key point coordinates; and the template matching module is used for comparing the time sequence of the key point coordinates with corresponding actions in a preset standard action template library by adopting an improved dynamic time warping (DTW) algorithm to obtain an optimal matching path and a corresponding minimum matching cost.

A System for providing Interactive Transaction Frameworks, utilizing biometric authentication and semantic web technologies is disclosed. The system registers users with a unique biometric-based identifier, and employs ontologies, schemas, and knowledge graphs to create a semantic foundation. A Large Language Model integrated with the Knowledge Graph Module enables intelligent processing of Interactive Transaction data. The system composes Interactive Transactions with fields mapped to semantic triples, maintains them in an Interactive Transaction Library, and manages user permissions. A Transaction Publishing Platform facilitates Interactive Transaction distribution and submission-response cycles. The system refines inputs and responses, determining outcomes based on these interactions. The system offers a sophisticated, secure, and adaptable approach to Interactive Transaction management and processing across various domains.

The invention discloses an analysis method and device for screening a target customer group, equipment and a medium, and relates to the technical field of customer data analysis. The method comprises the following steps: constructing registered user behavior data into a triple graph structure comprising user nodes, behavior nodes and entity nodes, and injecting domain knowledge for semantic enhancement; 24 hours are divided into periodic time periods, time period embedding vectors are generated, and Transform modeling cross-time behavior dependence is sensed through the time periods. According to the method, a triple graph structure is constructed, domain knowledge is injected, periodic time period modeling and multi-modal feature fusion are combined, behavior semantic association and time sequence dependence are deeply mined, and the effect of capturing hidden demands of a user is achieved; customer layering is optimized through local multi-source data cross validation, four-level division is defined, reinforcement learning and dynamic threshold decision are associated, and the effect of improving layering precision is achieved.

A computer-implemented method of secure quantum safe (QS) payments using a quantum cloud payment platform, the method, performed by the quantum cloud payment platform, comprising: receiving one or more quantum safe deposit payment transactions from one or more endpoint devices of one or more registered users, each QS deposit payment transaction of a user comprising data representative of a deposit fiat cash value; transferring each of the deposit fiat cash values from a bank account associated with a user and linked to the QS payment account of the user to a quantum cloud account for pooling each of the deposit fiat cash values; for each deposit fiat cash value transferred in relation to a user of an endpoint device, performing: converting said each deposit fiat cash value to a corresponding number of quantum money tokens; linking said number of quantum money tokens to the QS payment account of the user; and sending said number of quantum money tokens to the endpoint device of the user for updating an electronic wallet of said user.

The invention relates to the technical field of data processing, and discloses an adaptive VAD parameter adjustment method and system based on voiceprint recognition, and the method comprises the steps: obtaining an audio signal through an audio collection device, carrying out the preprocessing of the audio signal, extracting voiceprint features, mapping the voiceprint features to a user voiceprint model, and carrying out the recognition of the voiceprint model; comparing the voiceprint model of the current user with a storage model in a voiceprint library, and judging whether the current user is a registered user or not; determining a VAD parameter according to whether the VAD parameter is a registered user; when it is judged that the user is a non-registered user, VAD parameters are adjusted in real time through feature fluctuation detection of a mute segment and a voice segment; and storing the adjusted VAD parameters in a voiceprint library. The VAD parameter adjusting method can adapt to different user characteristics and environment changes, and shows higher robustness and adaptability in a complex scene.

The invention discloses a multi-modal-based multi-language custom instruction identification method and system, and the method comprises the steps: S1, constructing a multi-modal large model, and training the model, the multi-modal large model constructing a support input processing unit, a query input processing unit and a measurement discriminator; s2, on the basis of the step S1, registering a user-defined voice instruction; wherein a support feature vector of a user registration instruction is acquired and stored through the support input processing unit trained in the step S1; s3, user voice is obtained, and reasoning and instruction recognition are conducted through the model generated in the step S2; wherein the trained query input processing unit is used for processing the user voice to output a query vector, and the matching degree of the query vector and a pre-stored support feature vector is calculated, so that a user voice instruction is recognized. According to the method, efficient and extensible multi-language self-defined instruction recognition is realized based on a multi-modal fusion and metric learning framework.

The invention provides a voiceprint recognition method and system, a terminal and a medium, and the method comprises the steps: carrying out the logarithmic Mel spectrum feature extraction of to-be-recognized voice data of a current speaker, further carrying out the embedded feature extraction based on a speaker classification model, generating an embedded feature vector, and carrying out the recognition of a voiceprint. Carrying out similarity calculation on the current speaker and template embedded feature vectors of one or more registered users, and verifying whether the current speaker is the registered user or not; the speaker classification model can adaptively adjust the attention to different frequency features by introducing a frequency self-attention mechanism, accurately identify key frequency information, and significantly improve the expressive force and accuracy of the model in feature learning; a multi-dimensional hybrid convolution strategy is introduced, so that the model has double capabilities of capturing frequency details and modeling time sequence dependence at the same time; and through a channel-by-channel separation convolution strategy, the calculation complexity and parameter quantity of the model are reduced, and the calculation cost is reduced.

The present disclosure relates to a method of enrolling an individual at a secure server and subsequently authenticating and identifying the individual at an authenticating party using an authentication token created during the enrolment and a secure server performing the method. The method comprises engaging, via a user device, in an enrolment process with the individual, registering the user device by receiving a public key, the public key being created by the user device along with a private key corresponding to the public key, acquiring a trusted identifier of the individual, associating the acquired trusted identifier of the individual with at least one database index to create an authentication token, the database index being utilized for look-up at the secure server, signing the authentication token, and sending the signed authentication token to the user device, while deleting the acquired trusted identifier at the secure server.

The invention relates to the technical field of biological feature recognition, in particular to a single-factor revocable face template protection method and system, and the method comprises the steps: generating a registered user face Hash code through a face Hash code generation algorithm, carrying out the XOR operation of the registered user face Hash code and a random binary bit string to generate a user specific secret key, and storing the user specific secret key in a database; performing one-time permutation hash operation on the random binary bit string to obtain a registered user face template, and storing the user specific key and the corresponding registered user face template to a face template database; a target face hash code of a to-be-authenticated user is generated through a face hash code generation algorithm, XOR operation is performed on the target face hash code and a user specific key in a face template database to obtain a corresponding middle bit string, and one-time permutation hash operation is performed on the middle bit string to obtain a query face template of the to-be-authenticated user. And judging whether the to-be-authenticated user passes authentication or not through similarity matching. According to the invention, the problem of potential safety hazards in a two-factor revocable face template protection method can be effectively avoided.

The invention discloses a personalized cross-domain recommendation method and system based on federal learning, and the method provides a personalized cross-domain recommendation service for a user on the premise that original data of interaction between the user and an article and user parameters are kept locally. The method comprises two stages of federated training: stage 1, intra-domain users cooperatively train a single-domain score prediction model by using a neural collaborative filtering method; in the second stage, overlapping users of the two domains cooperatively train a migration module based on a multi-layer neural network to capture a mapping relation represented by potential user features between the two domains; besides, each layer of network of the cross-domain recommendation model is decomposed into a base vector and a personalized vector which respectively represent common knowledge among different users and unique knowledge of the users, and a local model obtained by final training can provide personalized recommendation services for registered users in a target domain, so that the recommendation efficiency is improved, and the user experience is improved. Meanwhile, the global model obtained through training provides effective initial recommendation for new users in the target domain, and the cold start problem in a recommendation algorithm is effectively relieved.

A computer-implemented method of registering a user identifier in a public key infrastructure comprising a trusted device and a server is provided. The method includes the steps: receiving the user identifier as an input to the trusted device; obtaining a hash value of the user identifier; the trusted device obtaining biometric data comprising a facial image of the user; generating a public key and a privacy preserving data structure using the biometric data, encrypting the user identifier using the public key, and storing the encrypted user identifier as metadata in the privacy preserving data structure, wherein a private key for decrypting the encrypted user identifier can be generated from the privacy preserving data structure using subsequently acquired biometric data comprising the facial image of the user; generating a device token corresponding to the trusted device and obtaining a hash value of the device token, the server storing the privacy preserving data structure uniquely indexed by the hash value of the device token while using the hash value of the user identifier as a primary key, and the trusted device storing the device token.

Methods and systems are presented for using blockchain technologies to establish and manage personal profiles for users. A credential system registers a user by generating a token associated with a blockchain for the user, and storing authentication data associated with the user in the blockchain. The authentication data may include encoded data that represents an identification document and biometric data. After registering the user with the credential system, a verifier device can authenticate the user via the credential system using the authentication data stored on the user device. Additional information, such as interaction data associated with the user's interaction with various computer system can be added to the blockchain using the token generated for the user. The interaction data of the user with various computer systems, collectively, forms a universal personal profile of the user, and can be used by the various computer systems to manage the user.

The invention discloses an identification-based industrial map data registration method and system. The method comprises the following steps: 1) an industrial map data registration system distributes a unique user id for each registered user; then generating a character string according to the feature value of the to-be-registered graph data filled by the user and the user id; the feature value comprises a picture name, a picture path, a storage server ip, a superior node id and a child node id; 2) encrypting the character string to generate a ciphertext as an identifier of the graph data; 3) receiving a data source access permission set by a user for the graph data; when duplicate checking judgment is carried out on the graph data, an identifier of the graph data is analyzed, and according to a picture storage path of the analyzed graph data, the storage server ip obtains an absolute path of a storage position of the graph data and accesses the data for comparison duplicate checking; and 4) updating the registered knowledge graph of the user by identifying the superior node id and the child node id of the analyzed graph data.

The techniques herein include solutions for dual steering across different 3rd generations partnership project (3GPP) networks. A device may have multiple subscriptions and be capable of dual steering. The device may register a user equipment (UE) with a first 3GPP network for dual steering and indicate a capability for dual steering. The first 3GPP network may register the UE for dual steering and provide the UE with rules and policies for dual steering. The rules and policies may be based on preferences, capabilities, and network subscriptions of the UE. The device may register another UE with a second 3GPP network for dual steering, and the first and second 3GPP networks may coordinate to associate the duel steering registrations at the first and second 3GPP networks. The device may proceed to engage in traffic steering and network switching based on the dual steering rules and policies.

The invention discloses a message transmission method and device, and belongs to the technical field of security. The method is applied to a security module of a server, the server is used for providing a target service for a client, and the client is a registered user of the target service. The method comprises the following steps: receiving a target service message which is sent by a client and is used for accessing a target service, wherein a destination address of the target service message comprises a verification field; verifying the destination address of the target service message according to the verification field to determine that the destination address of the target service message is a pre-configured address; and sending the target service message to the server. Wherein the pre-configured address is an IPv6 address configured for the client and used for accessing the target service. According to the method, an access address is allocated to a server providing a target service by using a huge address space of IPv6, so that an attack source cannot directly perform DDOS segment scanning attack on the target service.

A system for generating passwords in real-time based on biometric factors is disclosed. The system registers users by computing a Secret-Key from biometric samples, generating a Public-Key, and storing them securely. User authentication involves capturing a real-time biometric sample, generating a Secret-Key, and comparing a computed Real-Time-Unique-Number with a stored Unique-Number. For password setting, the system detects application requirements, authenticates the user, generates a password by computing a Unique-Number using a stored Random-Number and the Secret-Key, and submits the password. For login, the system authenticates the user, retrieves the stored Random-Number, computes the Unique-Number, regenerates the password, and submits it. This biometric-based password generation system provides secure, user-friendly access without requiring password memorization. The method offers a novel approach to password management, enhancing security and user experience.

A controlling system of an endoscopic surgical robot based on head tracking is disclosed. The system includes a host, the robot and a complex camera. The robot holds an endoscope at a specific position through a specific gesture. The complex camera includes a 2D camera for obtaining facial features of a doctor to identify whether the doctor is a registered user. The complex camera includes a 3D camera for obtaining depth information of the doctor's head. The host estimates a 2D space information and a 3D space information of the doctor's head according to the facial features and the depth information, and transforms the 2D space information and 3D space information to a robot moving information by a transformation matrix to control the robot to move.

A technique is provided for providing a platform to enable social collaboration and resource sharing. The technique includes registering users on the platform and receiving location codes of interest to a user, basis which a set of users within a pre-defined area are identified. The identification is based on a correlation of location codes of the user and remaining registered users. Based on inputs received from the user, posts comprising information relating to the location codes are created automatically created based on artificial intelligence (AI). The created posts are shared with the identified set of users in a newsfeed to enable collaboration in sharing of resources between the user and users from the set. From a second user from the set of users, responses associated with the posts are received and a collaborative sharing of resources between the user and the second user is enabled.

An entry system includes: a detection unit configured to detect a target person approaching a moving body; and an authentication unit configured to authenticate that the target person is a registered user based on a face image of the target person, and the detection unit measures illuminance around the moving body when an object which has entered a range of a prescribed distance from the moving body is detected, and selects a sensor to be used to determine whether or not the object is the target person according to the illuminance.

The invention provides a voiceprint recognition method and system based on wavelet transform convolution, a terminal and a medium. The method comprises the steps of obtaining a to-be-recognized voice of a current speaker; extracting Mel-frequency cepstral coefficient features based on the voiceprint features of the voice to be recognized; inputting the Mel-frequency cepstral coefficient features into a trained voiceprint recognition model so as to perform feature extraction on the Mel-frequency cepstral coefficient features, and obtaining voiceprint feature embedding vectors; and identifying the voiceprint feature embedded vector to judge whether the current speaker is a registered user or not. According to the method, the multi-dimensional hybrid wavelet transform convolution, the attention mechanism and the Res2Net network structure are organically combined, the capturing capability of different frequency features is remarkably improved, a multi-segment voice similarity calculation strategy is further adopted, the adaptability to complex environments and noise is improved, and the recognition precision of voiceprint features is effectively enhanced.

Systems and processes for delegating tasks to electronic devices based on intents and associated applications are provided. An example method includes, at an electronic device: receiving an input at the electronic device from a user, wherein the input is associated with an intent; determining, if the user is a registered user; in accordance with a determination that the user is a registered user: determining an application associated with the intent based on the input and a stored set of applications associated with the registered user; determining a target device associated with the determined application; and in accordance with determining the target device: sending instructions to the target device to handle the intent.

A network entity is proposed for controlling the use, by a user equipment, of network slices of a communication network comprising a plurality of slice support areas. Each slice support area comprises at least one cell, and all cells of a given slice support area support the same network slices. A registration area for the registration of the user equipment with the communication network comprises at least one slice support area. The network entity is adapted to transmit, to the user equipment, slice support information for at least one slice support area of the communication network. The slice support information for a given slice support area indicates at least one network slice supported by the given slice support area and / or at least one network slice not supported by the given slice support area.

The invention discloses a multi-user emotion recognition and digital human feedback method based on behavior data, and belongs to the field of artificial intelligence emotion calculation. Sensing user approaching, identifying and confirming the identity of a registered user, distributing an identifier, distributing an identifier for a visitor, and establishing an independent session channel in a multi-user scene; capturing time sequence dialogue behavior data containing voice rhythm features, dialogue interaction modes and linguistic features in real time; inputting the data into a sequence information processing model based on a state space theory and provided with a data dependence selection mechanism and an emotion analysis model spliced by static context features, and outputting multi-dimensional emotion and cognitive state tags; generating an emotion support strategy through a decision-making model in combination with the personal file of the user; and generating a multi-mode control instruction, and driving the digital human to synchronously present special effects such as expressions and the like. According to the method, privacy concerns are eliminated through non-intrusive collection, the method is adaptive to multi-user scenes, deep cognitive states can be recognized, and interaction effectiveness is improved for a long time.

A system and method for decentralized identifier-based ticketing is provided. [Solution] A method for decentralized identifier-based ticketing includes a step in which a user device uploads a decentralized identification (DID) and a DID document to a Verifiable Data Registry (VDR) and registers the DID; a step in which the user device transmits the DID and requests the issuance of a verifiable credential (VC) for the purchased ticket; a step in which an issuer device obtains the DID document from the VDR via the DID; a step in which the issuer device interacts with the user device to authenticate ownership of the DID using an authentication method included in the DID document; and a step in which the issuer device issues a verifiable credential corresponding to the DID to the user device if the issuer device successfully authenticates ownership of the DID.

The invention relates to a blowing-based screen operation method, system and equipment and a medium, and belongs to the field of blowing detection. The method comprises the following steps: acquiring a blowing audio and a face image of a user, and performing face contour detection on the face image based on a face contour recognition algorithm; when the face contour of the user meets a preset detection condition, whether the mouth shape of the user in the face image is a blowing mouth shape or not is judged based on a blowing mouth shape recognition algorithm; when the user is in the blowing nozzle type, the identity of the user is recognized according to the blowing audio of the user based on a blowing voiceprint recognition algorithm; wherein the identity of the user comprises a registered user and a non-registered user; when the identity of the user is a registered user, acquiring a sight focus from the face image based on an eyeball focus recognition algorithm; and executing an operation of the corresponding screen area according to the sight focus. The accuracy of blowing behavior detection is greatly improved, and effective blowing interaction between the screen and the user is achieved.

The invention relates to a quantum key management method and system for satellite internet biological characteristics, and the method comprises the following steps: carrying out the registration of biological characteristics and the initialization of communication protocol parameters for a user terminal which is accessed for the first time; for the registered user terminal, before initiating communication each time, binding the real-time biological characteristics with the quantum key, and carrying out encrypted transmission of the session key by using the bound quantum key, so as to carry out encrypted transmission of satellite internet transmission data by using the session key; and in the encryption transmission process of the satellite internet transmission data, according to a preset period, performing satellite link security level adjustment and quantum key dynamic updating. According to the invention, identity authentication and terminal authentication in a high-delay and narrow-bandwidth application scene can be realized, the security problems of identity counterfeiting, key leakage and the like are solved, and the method can be applied to satellite internet scenes such as emergency communication, field operation and the like, and has the advantages of strong compatibility, low deployment cost and the like.

Provided is a method for securing a biometric recognition of a user to be recognized against one or more templates and a non zero integer, corresponding to registered users identities, using a biometric sample of said user, in a biometric recognition system comprising a plurality of computation devices, a global scoring computation device and a recognition device. Each of said templates is split, using an additive splitting modulo a predetermined integer N, into a plurality of template shares stored in said computation devices, with i in [0, n-1] and n a non zero integer. A global scoring is computed for said at least one template by combining said shares of the global scoring computed for said template by said plurality of computation devices according to a formula. Other embodiments disclosed.

The present application belongs to the technical field of security, and discloses a message transmission method and apparatus. The method is applied to a security module of a server, the server being used to provide a target service for a client, and the client being a registered user of the target service. The method comprises: receiving a target service message which is sent by a client and used to access a target service, the destination address of the target service message comprising a verification field; on the basis of the verification field, verifying the destination address of the target service message, so as to determine that the destination address of the target service message is a pre-configured address; and sending the target service message to the server. The pre-configured address is an IPv6 address which is configured for the client and is used to access the target service. The described method uses a huge IPv6 address space to allocate an access address to the server providing the target service, so that an attack source cannot directly carry out a DDoS scanning attack on the target service.

The invention discloses a browser interaction event backtracking method and system and a medium, and relates to the technical field of browsers, the method comprises the following steps: registering a to-be-monitored user interaction event after page loading is completed, capturing user operation to obtain target interaction event data, and recording page state information at the same time; optimizing and compressing the data and the information to obtain compressed event data and storing the compressed event data; reading and analyzing the compressed event data, restoring the page state, and obtaining the target interaction event data and the page state information again; and triggering the two in sequence to perform interaction event backtracking. According to the method and the device, the technical problem that in the prior art, when errors occur in software platform application, quick positioning and backtracking are difficult is solved, when errors occur in the software platform application, specific user operation and page states can be quickly positioned, browser interaction events can be completely recorded and accurately backtracked, and the user experience is improved. The browser optimization is promoted; and the user experience is improved.

The invention discloses a method and device for improving speech recognition accuracy, computer equipment and a storage medium, and the method comprises the steps: obtaining to-be-recognized speech data, and extracting speech features corresponding to the to-be-recognized speech data; inputting the voice features into a pre-trained voice classification model to obtain human voice data; matching the human voice data with voiceprint features of a pre-registered user; and if the matching is successful, identifying to obtain a voice instruction corresponding to the human voice data, and executing a corresponding operation based on the voice instruction. The voice data and other interference sounds (such as song sounds, navigation broadcast sounds and engine noise sounds) can be accurately distinguished, so that pure voice data can be obtained. And interference factors in a complex voice environment are effectively filtered. And the unique voiceprint feature of the target user is utilized to identify and execute the voice instruction of the specific person, so that a more stable and accurate voice interaction service is provided for the user.