701 results about "Biometric data" patented technology

The invention provides a method and system for preventing identity spoofing during digital authentication processes using artificial intelligence (AI)-driven pattern recognition. The system receives an input data stream from a user attempting to authenticate, which may include biometric data, device behavior data, or user interaction data. An AI-based pattern recognition model processes this data to analyze user behavior patterns and detect any anomalies that may indicate potential spoofing attempts. The system compares the processed data against a pre-established user profile to generate an authentication decision. If anomalies are detected, the system can flag the authentication for further review or trigger additional verification steps, such as multi-factor authentication (MFA) or one-time password (OTP) prompts. The system continuously learns from user interaction data and dynamically updates the user profile to improve the accuracy of identity verification.

The invention relates to the technical field of intelligent decision making, can be applied to business scenes of financial science and technology, medical health and the like, and discloses a multi-modal data-based event analysis method, which comprises the following steps of: obtaining attribute data, monitoring data, environment data and biological characteristic data of a user, and performing standardization processing on the attribute data, the monitoring data, the environment data and the biological characteristic data; combining semantic analysis and structured fusion of the text records to form a unified input data set; and performing multi-modal fusion modeling on the unified input data set by using an intelligent decision model, generating a potential event analysis result of an individual state, generating a visual report containing potential event levels, main influence factors and intervention suggestions based on the result, and finally sending the report to a user terminal. According to the method, the multi-source structured data and the multi-source unstructured data are integrated, and the intelligent decision-making model is introduced to realize feature level fusion and semantic enhancement modeling, so that the accuracy and timeliness of individual state analysis are effectively improved, and the personalized expression of an analysis result is enhanced.

The invention relates to an intelligent dialogue system and method based on an AI multi-mode large model. The method comprises the following steps: collecting biological characteristic data of a user in real time; cloning a personalized expression mode of the user by using the generative adversarial network; driving the audio avatar to perform multi-round dialogue interaction with the user, capturing a real-time physiological signal of the user through an expression recognition module, and generating a dynamic response content suggestion in combination with a dialogue context; and analyzing the interaction process based on the reinforcement learning model. The multi-modal deep fusion of the voice rhythm features, the language structure features and the facial dynamic features is realized, so that the limitation of single-modal or simple feature splicing in the prior art is broken through, the emotional state of the user can be accurately and comprehensively captured, the intention is expressed and the fine physiological reaction is expressed, and the user experience is improved. And a solid foundation is laid for constructing high-fidelity user representation.

According to various embodiments, a system and method for verifying a user's identity using both document-based and biometric data is disclosed. The system may prompt a user to upload an image of a government-issued identification document and extract user information from the image using optical character recognition (OCR). The system may also extract the embedded face image from the ID and prompt the user to take a real-time selfie while performing one or more randomized actions or poses. A facial recognition engine may compare the extracted ID image to the live selfie to determine a similarity score. Based on this match, along with optional document authenticity checks, the system may confirm the user's identity in real-time for use cases such as account access, onboarding, and regulatory KYC compliance.

The invention relates to the technical field of computers, in particular to a multi-modal model fusion-based water decision-making system, which comprises a virtual digital human interaction module, an intelligent agent business middle table and a large model technology base, and is characterized in that the virtual digital human interaction module is used for monitoring a voice instruction of a user; the method comprises the following steps: acquiring a voice instruction of a user, acquiring biological characteristic data of the user by using a multi-modal sensor, identifying relevance characteristics between the voice instruction and the biological characteristic data through a water conservancy emergency scene emotion identification model, acquiring indication information, and sending the indication information to an intelligent agent service middle station; the agent business middle platform performs task chain analysis on the indication information based on a water conservancy professional term intention recognition model to obtain different task requirements, and calls a large model technology base to make a decision based on the different task requirements to obtain decision information; a water conservancy large model trained based on a domain mechanism model library is integrated on the large model technology base. According to the invention, more efficient and intelligent services can be provided.

Examples relate to a fatigue detection system to monitor and assess pilot fatigue levels during flight operations. An example system includes a wearable biometric sensor (WBS) integrated into a wristband that captures biometric data from the pilot. A processor analyzes the captured data to determine the pilot's fatigue level. When this level exceeds a predetermined threshold, the system provides an alert to the pilot through a haptic feedback mechanism in the wristband. Additionally, the system generates personalized fatigue mitigation advice, which is displayed on an electronic flight bag (EFB) application accessible to the pilot. The advice may include recommendations for taking a controlled rest, consuming caffeine, or engaging in physical activity. The system enhances flight safety by providing real-time alerts and actionable advice to combat pilot fatigue.

A system and method for generating patient care instructions based on real-time sensor and medical data. The method includes receiving time-stamped sensor data from a sensor network comprising motion, occupancy, and environmental sensors, and receiving medical data associated with a patient, including medical conditions, treatment history, medication data, and biometric data. The sensor data is enriched with room-specific information, and activity pattern data is generated in real time using a pattern recognition model. The activity pattern data includes mobility, sleep patterns, medication adherence, statistical measures, temporal patterns, and correlations with medical data. Anomalies indicating potential health risks are detected by comparing current activity patterns with baseline data. A prediction model, trained on historical patient data, assesses the patient's health and generates care instructions accordingly. The care instructions are securely delivered to patient devices, caregiver applications, or automated medication dispensing systems, enabling timely interventions and continuous patient monitoring.

Systems and methods for performing zero knowledge proofs to prove a user's possession of secret data and / or biometric data without exposing such data. The methods can include receiving a certificate signing request and biometric data associated with a user; creating a stable key based at least in part on the biometric data; creating a private key based at least in part on the stable key; transmitting the private key to the user device for local storage thereon; creating a public key based at least in part on the private key; and forwarding the certificate signing request to an issuer.

The invention relates to the technical field of artificial intelligence and biological characteristic analysis, in particular to an AI-based personalized postpartum rehabilitation medical beauty evaluation system and method. The method comprises the following steps: generating a standardized action sequence according to a rehabilitation stage and a historical record of a user and guiding execution; collecting dynamic biological characteristic data in real time; aligning data and distributing dynamic weights by using a multi-modal fusion model guided by time sequence semantics, constructing a three-dimensional response graph by combining a tension response function, a collaborative exponential function and a stable fluctuation function, and generating individual embedded vectors through a graph neural network; identifying a potential high-risk time period through map potential energy offset analysis and disturbance sensitivity factors; integrating a user state, a historical response and an intervention knowledge graph, recommending a dynamically adaptive intervention scheme by using a multi-channel attention network, and continuously optimizing through a feedback closed loop; precise evaluation and personalized intervention recommendation of the postpartum rehabilitation process are realized through multi-modal fusion and dynamic modeling, and the rehabilitation efficiency and safety are improved.

The invention relates to the technical field of additive manufacturing, and discloses an additive manufacturing lens surface optimization method based on real-time feedback control. The method comprises the following steps: firstly, acquiring eye biometric data and personalized visual demand parameters of a wearer, establishing a personalized optical model of eyeballs according to the eye biometric data and the personalized visual demand parameters, and deducing a retina defocusing amount distribution map; and determining spatial arrangement and geometric morphology parameters of the distributed out-of-focus microstructure layer on the lens according to the atlas. In the additive manufacturing process, the optical material is deposited and solidified layer by layer, and the three-dimensional shape information of the surface of the optical material is obtained in real time after deposition of each layer. And comparing and analyzing the morphology information with a theoretical model to generate a morphology deviation result. And then, a correction instruction of the printing parameters is calculated by using the correction model, and the printing parameters of the additive manufacturing equipment are adjusted in real time, so that real-time compensation and optimization of the morphology deviation are realized, and finally, a high-precision lens product meeting personalized optical design requirements is manufactured.

The present disclosure is related to blockchain technologies, tokenization and non-fungible token (NFT) technologies, identity verification, account verification, information security (InfoSec), and fraud prevention technologies, and in particular, to technologies for creating NFT identities (IDs) for individuals and / or organizations. An NFT ID service interacts with users to obtain ID information such as ID documents, biographical data, biometric data, and / or any other suitable data. The NFT ID service includes an NFT ID engine that generates an NFT-based form of digitized and / or tokenized ID, using blockchain technology, smart contracts, distributed ledgers, digital wallets, and the ID information. Other embodiments may be described and / or claimed.

Methods and apparatus for biometric data maintenance, access and distribution across two or more experiential and / or network domains. In one embodiment, a 5G NR-based network architecture is provided which allows ultra-low latency and effectively user-imperceptible biometric data use for e.g., authentication and maintenance of user state across multiple domains via multiple constituent user devices (e.g., UEs). The network architecture includes both (i) a distributed biometric database (BDB) model wherein relevant biometric data for individuals / UEs is intelligently cached in various portions of the distributed database, and (ii) centralized and local BAEs (biometric analytics entities) which manage the aforementioned intelligent caching, as well as network configuration using one or both of 5G NR network “slicing” and CU / DU split options to optimize end-user biometric-related applications such as those providing identification / authentication, AR functions, VR functions or yet others.

The invention relates to the technical field of communication network security, and particularly discloses a distributed communication network security verification method and system, which comprises a two-factor identity authentication module, a dynamic key arrangement and encryption module and a cross-node integrity verification module, and the dynamic key arrangement is respectively connected with the two-factor identity authentication module, the encryption module and the cross-node integrity verification module. Through combination of biological feature anchoring and secure multi-party calculation, on the premise of protecting privacy of original biological data, deep binding of biological features and public keys is realized, and biological uniqueness is given to identity authentication; and dynamic authentication interaction is fused with a timestamp, a biological characteristic entropy value and zero knowledge proof, replay attacks are resisted, 'human-equipment-identity 'consistency is accurately verified, a public key fragment is updated after authentication is passed, an identity trust chain is continuously reinforced, and it is ensured that node identities are true and credible from the source.

The invention provides a preschool child emotion intelligent adjusting system based on multi-modal biological recognition, and the system comprises a multi-modal data obtaining module which is used for obtaining the multi-modal biological data of a target child, and carrying out the data preprocessing of the multi-modal biological data, and obtaining a multi-modal data set; the hierarchical feature extraction module is used for performing hierarchical feature extraction on the multi-modal data set to generate a hierarchical vector set; the cross-modal fusion module is used for performing time sequence alignment and dynamic weight fusion on the hierarchical vector set to generate a joint emotion representation vector; the emotion recognition module is used for performing emotion classification processing based on the joint emotion representation vector to generate an emotion recognition result; and the emotion adjustment execution module is used for generating a feedback instruction according to the emotion recognition result, and the feedback instruction is used for indicating the intelligent adjustment device to execute an adjustment strategy matched with the emotion recognition result. The system can effectively capture the hierarchical association of the emotion of the child, and improves the emotion recognition accuracy and the emotion intelligent adjustment pertinence.

This disclosure describes embodiments of a closed, permission-only based system that provides a highly secure, identity verification platform that enables users or consumers to protect and manage their own identity related data without relying on a third party source. In general, the system includes a server having a processor, an input interface in communication with the processor, a network interface in communication with the processor, and a processor readable medium in communication with the processor. The processor readable medium stores processor executable instructions. The processor executable instructions, when executed, cause the processor to take the steps of: receiving user data including an image of at least one document; receiving biometric data of the user from a user device of the user; performing validation of said at least one document using said biometric data; and encrypting the user data with an encryption key obtained from the biometric data.

A decentralized digital identity exchange (IDX) is provided. In response to receiving a request for identity verification of a user, the IDX transmits, to a digital wallet associated with the user, a request for current biometric data. The current biometric data is received from the digital wallet and a biometric liveness check is performed. In response to the biometric liveness check succeeding, the IDX generates a verification transaction ID (VTID) and a verifiable credential for the user. The VTID is a unique identifier that comprises a representation of when the identity of the user was verified by the IDX. The verifiable credential and VTID are transmitted to the digital wallet which sends them to a relying party computing system to verify the identity of the user to the relying party computing system.

The present disclosure relates generally to implementing biometric authentication, including providing user interfaces for: while the electronic device is in a first state in which a respective function of the electronic device is disabled, detecting one or more activations of the button; and in response to detecting the one or more activations of the button: capturing, with the one or more biometric sensors that are separate from the button, biometric data; if the biometric data satisfies biometric authentication criteria, transitioning the electronic device to a second state in which the respective function of the electronic device is enabled; and if the biometric data does not satisfy the biometric authentication criteria, maintaining the electronic device in the first state and displaying, on the display, an indication that biometric authentication has failed.

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.

Systems and methods for validating and securing transactions are provided. A registration process can include receiving, via a short-range communication antenna of a mobile device, encrypted data from a contactless card, successfully decrypting the encrypted data to authenticate the contactless card, receiving, via the mobile device, first biometric data, and storing the first biometric data in a biometric profile of a customer account associated with the contactless card. An authorization process can include transmitting a solicitation message to the mobile device responsive to receiving a request to authorize a digital transaction in connection with the customer account, receiving, via the mobile device, second biometric data responsive to the solicitation message, comparing the second biometric data with the biometric profile, authorizing the digital transaction when the second biometric data matches the biometric profile, and denying the digital transaction when the second biometric data fails to match the biometric profile.

The invention provides an automobile cabin end side model multi-modal perception enhancement method, which comprises the following steps: S1) deploying an RGB camera in a cabin, and collecting facial biological characteristic data, hand interaction behavior data and cabin overall environment data of a driver; s2) adjusting image illumination and contrast by adopting an algorithm, dynamically focusing a key area through a target detection frame to process a shielding problem, and eliminating static redundant information; s3) constructing a neural network, extracting facial biological features and the like in parallel, and outputting low-dimensional feature vectors; s4) time sequence association is established, key area feature weights are enhanced through a space attention mechanism, and a logic relationship among different features is explicitly modeled; s5) aggregating the weighted feature maps by using feature attention pooling, and retaining a core feature channel in combination with a channel pruning technology to realize model compression; s6) dynamically adjusting the calculation priority and weight distribution of each feature extraction branch; and S7) the end side uploads the sample to the cloud side, and the cloud side generates an update package and pushes the update package to the end side to complete model iteration.

A system for authenticating a user includes a memory device, and a processor. The processor is configured to receive a first biometric sample associated with a user from a biometric measurement device, and receive, substantially contemporaneously with receiving the first biometric sample, an image of a user credential, where the image includes credential data, such as any of a variety of personally identifiable information. The processor may also be configured to compare the received first biometric sample to at least one of: i) a second biometric sample included in the credential data, or ii) a third biometric sample stored by an authentication database in association with the user. Likewise, in at least some embodiments, the processor may determine whether to authenticate the user, such as based upon the comparison.

An authentication system for verifying creation of digital content includes a machine learning classifier configured to analyze data points related to a content creation process, a programmatic rules-based analysis component configured to apply predefined criteria to the data points, and a human-viewable replay component configured to provide a visual representation of the content creation process. The authentication system is configured to determine whether the digital content was created by a human or generated by artificial intelligence (AI) based on outputs from the machine learning classifier, the programmatic rules-based analysis component, and the human-viewable replay component. The data points may include keystroke dynamics, syntax and style analysis, error patterns and corrections, content revision history, behavioral data, content creation timeline, gestures and touch interactions, brushstrokes and drawing patterns, voice and audio analysis, physical interaction with devices, eye tracking and gaze patterns, and biometric data.

A method and system are disclosed for creating a graphic element representing encoded biometric data that represents the facial biometrics of two or more individuals. The method includes capturing facial images of each person, generating non-reversible face-derived feature vector data, and embedding this data into a graphic on the item. To validate that the graphic is derived from the people presenting the graphic, the graphic is processed to extract corresponding feature vector data, which is compared to the data derived from newly collected facial images of the presenting people. Validation indicators are based on threshold comparisons. The system supports verification using photographs on the item and enables secure association through trusted entities and cryptographic signatures. The graphic may encode alpha-numeric strings representing biometric and document data. The graphic may be applied to any document or item, including driver's licenses, passports, titles, ballots, and financial instruments.

Disclosed are example methods, systems, and devices that allow for secure digital authorization via generated datasets. The techniques include receiving a first dataset of a first user and a second dataset of a second user and generating a first set of identity elements and a second set of identity elements based on the first dataset and the second dataset, respectively. A linkage definition can be generated based on the first and second datasets, which can be associated with a set of activation elements. The techniques include determining that a set of inputs satisfy one or more of the set of activation elements and, in response, generating a set of security access tokens based on the linkage condition. The security access tokens can be transmitted to a computing device upon analyzing and verifying biometric data received from that computing device.

The invention relates to the technical field of fatigue driving detection, in particular to a fatigue driving early warning method and system based on combination of instantaneous oil consumption and biofeedback, comprehensive analysis is carried out in combination with the vehicle running state and the biological characteristic data of a driver, the fatigue state of the driver can be judged more accurately, and misjudgment and missed judgment are reduced. According to the method, a dynamic time warping algorithm is adopted to eliminate time sequence deviation of multi-source data, a nonlinear mapping relation between an instantaneous oil consumption fluctuation curve and an eye movement frequency curve is constructed, and the problem of time sequence deviation of physiological signals and operation signals is solved.

Systems and techniques are disclosed for authorizing users based on biometric data. Images are collected from an authorized user are used to generate three-dimensional representations of the user that are stored for use in authorization operations. Images accompanying a request for authorization are first processed using liveness detection operations and then, if the images are associated with a live person, a three-dimensional representation of the person is generated using the images. If a correspondence to a verified user's three-dimensional representation is identified for the three-dimensional representation of the person requesting authorization, the request is granted.

The invention relates to the technical field of communication, and discloses a mobile phone terminal detection gating method and system in a communication management and control area, and the method comprises the steps: dividing the management and control area, and setting a security level, determining whether the terminal is a legal terminal or an illegal terminal according to the security level, the international mobile subscriber identity, the equipment fingerprint value, the behavior mode score and the biological characteristic data; the method comprises the following steps: monitoring electromagnetic signals in a region through distributed sensing nodes, determining equipment types of illegal equipment signals in the electromagnetic signals, and generating an interference strategy according to the equipment types, illegal equipment signal characteristics and positions; according to the invention, accurate identity recognition is carried out on the terminal through multi-dimensional feature analysis, the recognition accuracy is improved, and counterfeiting and counterfeit behaviors are effectively prevented; the adaptive interference confrontation technology is adopted, the optimal interference strategy can be automatically selected according to the illegal equipment type, accurate interference is achieved, and legal communication is protected from being affected.

The invention relates to the field of artificial intelligence and digital medical treatment, discloses a multi-mode intelligent inquiry method and device, computer equipment and a storage medium, and can be applied to inquiry processing of families, drugstores and medical institutions. The method comprises the following steps: receiving biological characteristic data sent by a user terminal to verify a user identity, and obtaining a historical medical record of a user according to the user identity; receiving chief complaint symptoms and multi-modal physiological data, uploaded by the user terminal, of the user; fusing the chief complaint symptoms, the multi-modal physiological data and historical medical records, and constructing a dynamic knowledge graph; and generating a medication suggestion based on the dynamic knowledge graph and feeding back the medication suggestion to the user terminal. According to the method, the chief complaint symptom and the multi-modal physiological data are collected through the user terminal, intelligent monitoring of the user symptom is achieved, the dynamic knowledge graph is constructed by fusing the chief complaint symptom, the multi-modal physiological data and the historical medical records, efficient diagnosis decision is achieved, and the progress of medical digitization is promoted.

The invention provides a vehicle self-adaptive control method and device, relates to the technical field of vehicle control, and automatically triggers a vehicle to enter a meditation control mode by monitoring that at least one of target vehicle operation data and target user biological characteristic data meets a meditation triggering condition, initiatively intervenes in an abnormal early stage, and avoids risk accumulation. Moreover, non-intrusive guidance is output by driving a preset execution mechanism of the vehicle, and driving operation and meditation guidance are synchronously fused, so that the user gradually transits from a bad driving state to a relaxed positive state on the premise of not dispersing the attention of a road. The physical and mental pressure can be effectively relieved, the driving safety can be improved, and the problem of conflict between meditation intervention and driving is solved fundamentally.

The system includes a processor that works with a full-body fitting garment equipped with internal sensors and low-frequency pads. It collects biometric data, connects wirelessly to an external device via a control unit, and uses an AI module to visualize the user's relaxation state. Based on this, it generates instructions to optimize relaxation and controls the pads accordingly.