348 results about "Biometric data" patented technology

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.

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.

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.

A method for generating reference biometric data based on a bending of a flexible device is described. In one aspect, a method includes forming training data includes bending estimates of a flexible device worn by a first user, training a model based on the training data, and generating reference biometric data for the first user based on the model.

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.

Systems and techniques may be used for multiple biometric data authentication. An example technique may include receiving first biometric data and second biometric data, optionally combining the first biometric data and the second biometric data into combined biometric data, and comparing the first and second or the combined biometric data to stored biometric reference data associated with an account of a user to generate a similarity score. The example technique may include determining whether the similarity score exceeds a threshold value, and in response to determining that the similarity score exceeds the threshold value, outputting an indication.

A system for authenticating a sender of a response to an authentication request includes an authentication server, an identity server configured to receive biometric data of a user, a central ID system configured to create or receive a username and / or password, and a first user device associated with a first user. The first user device is configured to create a first user ID that includes at least a first username and a first biometric data. When an authentication request is sent to a user device by the authentication server the user device responds with a user ID. The authentication server then queries at least one or both of the central ID system and the identity server to certify the accuracy of the user ID to assure it matches the first user ID before (1) accepting the response, or (2) permitting the first user to access confidential information. The systems and methods may also include blockchain authentication or tuple space authentication.

A system and method authenticate payment transactions using risk based analysis modeling when multiple payment accounts are identified by input biometric data. An authentication request includes the biometric data associated with a user. Multiple user payment accounts associated with the biometric data are identified. A confidence score is generated for each of the multiple user payment accounts based on context data associated with the payment transaction. The payment account with the highest confidence score is selected. The selected payment account is authenticated for use in processing the payment transaction to ensure payment transactions are performed on the correct payment account.

The invention discloses a drug activity prediction method and system based on multi-modal medical big data, and relates to the technical field of artificial intelligence. The method comprises the steps of obtaining multi-modal medical big data, and performing multi-modal coverage collection based on the multi-modal medical big data to obtain a multi-modal data set; carrying out biological feature recognition based on the multi-modal data set and carrying out clustering analysis to determine a plurality of biological feature classes; performing drug activity influence analysis according to the biological characteristic classes, and constructing a characteristic-activity mapping list to screen target candidate drugs; and extracting biological characteristic data prediction activity based on the target candidate drugs, and generating drug activity report feedback optimization data. The technical problems of inaccurate prediction result and poor generalization ability caused by dependence on single-modal data and lack of correlation analysis on complex biological characteristics of a traditional drug activity prediction method are solved, and high-precision prediction of drug activity is realized by utilizing multi-modal fusion and biological characteristic clustering analysis, so that the method is suitable for large-scale popularization and application. And the medicine screening efficiency and the intelligent level are improved.

Provided herein are systems and methods for authenticating users during payment transactions and other types of interaction events using biometric information. The disclosed systems involve a biometric orchestration platform that receives biometric data of a user from a biometric module or device, intelligently routes this data to a biometric verification service, and retrieves a positive identification if a match is found. This identification is then used in various ways, e.g., to retrieve a payment card token linked to the user's authorized payment method.

Some methods may involve determining an authentication rule to authenticate a user of a device, wherein the authentication rule includes liveness criteria and authentication criteria. Some methods may involve determining satisfaction of the liveness criteria based on sensor data captured by one or more sensors of the device. Some methods may involve determining user interaction with one or more biometric sensors of the device in accordance with operation parameters specified by the authentication criteria. Some methods may involve, based on the user interaction in accordance with the operation parameters specified by the authentication criteria, providing biometric data obtained from the one or more biometric sensors for authentication.

One or more embodiments described herein relate to predicting, using adaptive artificial intelligence techniques, typical and aberrant physiological reactions of a patient to psychiatric counseling. Treatment plans can be determined and calculated based on previously-gathered demographic and / or biometric data, and / or modifications to treatment plans can be determined and / or implemented based on emergent recognition of reaction types, such as reclassifying reactions that would previously have been deemed typical as aberrant (or vice versa).

In various embodiments, enhancements for low-touch biometric systems include obtaining winnowing information when a biometric probe unsuccessfully matches against a subset gallery. The winnowing information is used to obtain biometric data from an associated group of people and the biometric probe is then compared against the biometric data. If this also fails, identity information may be obtained and used to obtain a corresponding biometric template to match the biometric probe against. In some embodiments, enhancements for low-touch biometric systems determining a dominant by selecting the largest live face in an image then performing one or more actions using the dominant. Such one or more actions may include selecting the dominant for capture, performing exposure control and / or gain control on the dominant as opposed to the rest of an image, determining guidance to provide for biometric capture based at least on a position of the dominant, providing such guidance, etc.

An object of the system according to the embodiment is to provide personalized and prompt support to a patient having a mental symptom.SOLUTION: A system includes an emotion note interpretation part, a feedback provision part, a biological data analysis part, a rest promotion part, a virtual environment provision part, and a social support part. The emotional note interpretation unit interprets an emotional note. The feedback provider may provide feedback based on a result of the interpretation by the emotion note interpreter. The biological data analysis unit analyzes biological data obtained using the smart glasses. The rest prompting unit prompts a rest on the basis of the result analyzed by the biological data analyzing unit. The virtual environment providing unit may provide a virtual environment using AR or VR technology. The social support unit facilitates connection between users.SELECTED DRAWING: Figure 1

The invention relates to a method (100) for encoding biometric data represented by a reference image (PI0) using two-dimensional symbolism, designed to be implemented by an identity document production system (10). Such a method includes a step (130) of downsampling the reference image (PI0) to produce a first resampled image (PI1i) prior to implementing a step (140) of compressing the latter. It includes a step (150) of upsampling the compressed image (PI2i) to produce a second resampled image (PI3i) of the same dimensions as the reference image (PI0) to produce a similarity measure (SSIMi) between said second resampled image (PI1i, PI3i) and the reference image (PI0).The encoding (180) of the compressed image (PI2i) as a single two-dimensional symbol (20) is implemented only if (120y) the similarity measure (SSIMi) satisfies (170) a specified selection criterion. Figure to be published with the abbreviation: Fig 7.

A method for enhancing the security of voice biometric data is provided that includes receiving, by an electronic device, voice biometric data of a user captured while the user was speaking and analyzing the context in which the received voice biometric data was captured. The context includes environmental and situational factors. The method also includes analyzing characteristics of the received voice biometric data to detect anomalies associated with synthetic speech, and conducting a biometric authentication transaction based on the voice biometric data in response to determining the received voice biometric data is free of anomalies. In response to successfully authenticating the user, the method includes updating record voice biometric data of the user with the received voice biometric data. Moreover, the method includes modifying the updated record voice biometric data and securely storing the modified updated record voice biometric data.

Systems and methods are disclosed for biometric authentication using an Integrated Sensing and Communication (ISAC) system. In one embodiment, a method performed by one or more network nodes of a wireless communications system enabled to perform ISAC comprises receiving, from an authentication service, a request to invoke ISAC-based biometric authentication for a subscriber, determining a location of the subscriber within a coverage area of the wireless communications system, and selecting a ISAC system comprising one or more Radio Access Network (RAN) nodes of the wireless communications system, based on the location of the subscriber within the coverage area of the wireless communications system. The method further comprises configuring the ISAC system for collection of biometric data for the subscriber and requesting the ISAC system to collect biometric data for the subscriber. In this manner, ISAC based biometrics authentication using ISAC collected biometric data is enabled.

A system comprises a memory communicatively coupled to at least one processor. The at least one processor is configured to execute a machine learning algorithm to determine type information associated with the biometric data, assign evaluation of the biometric data to multiple nodes in a decentralized network based at least in part upon the type information, determine, in the decentralized network, whether the biometric data comprises a predefined format corresponding to the type information, transmit the biometric data to a deep learning network configured to perform multiple anomaly detection operations that evaluate authenticity of the biometric data in response to determining that the biometric data comprises the predefined format corresponding to the type information, and flag the biometric data as being associated with suspicious activity in response to determining that an overall pattern of the biometric data matches at least one portion of a suspicious pattern.

The present invention relates to a weighing scale (100) for monitoring biometric data of a user (180). The weighing scale (100) comprises a first set and a second set of multiple electrodes disposed on one or more handles (120) for making contact with a first hand and a second hand of the user (180). The weighing scale (100) further comprises a base (140) for supporting the user (180) and determining a weight of the user (180). A first portion of a top surface of the base (140) comprises a third set of multiple electrodes for making contact with a first foot of the user (180) and a second portion of the top surface of the base (140) comprises a fourth set of multiple electrodes for making contact with a second foot of the user (180). The weighing scale (100) further comprises processing circuitry for obtaining a plurality of biometric signals and determining a pulse wave velocity (PWV) of the first hand and the second hand and the first foot and the second foot of the user (180) based on the plurality of biometric signals to estimate a peripheral arterial disease (PAD) risk of the user (180).

Apparatus, systems, and methods for controlling device states based on consent indicators are disclosed herein. An example apparatus includes a state controller to manage a state of a device, wherein a first state includes a biometric data function being disabled and an object recognition function being enabled; a second state includes the biometric data function being enabled; and a third state includes the device or an application of the device being unlocked; an indicator detector to, when the device is in the first state, analyze sensor data using the object recognition function to determine whether a user of the device provided an indicator, wherein the state controller is to set the device to the second state in response to the indicator detector detecting the indicator; and an authenticator to, when in the second state, perform the biometric data function to determine whether the user is authorized to use the device.

A computer-implemented method is disclosed. The method includes: enabling an access control for a data record, wherein enabling the access control comprises imposing a set of restrictions on accessing the data record; receiving at least one biometric data capture for a user and a digital form of at least one identification document associated with the user; obtaining verification results representing an identity verification status of the user based on a document verification process using the at least one biometric data capture and the digital form; in response to determining that the verification results satisfy first conditions, selectively disabling the access control for the data record by disabling a first subset of the imposed restrictions on the data record, wherein selection of the first subset depends on the verification results. The document verification process may include performing image recognition on the at least one biometric data capture and the digital form.

A system and method are disclosed for generating personalized motivational, wellness, educational, and entertainment multimedia content using multimodal artificial intelligence. The system constructs an Emotion State Vector (ESV) from user inputs, diaries, biometric data, and context. A Modality Script Generator (MSG) defines time-coded orchestration across music, narration, captions, and visuals. Scripts execute via a Model-Agnostic Adapter Layer (MAAL) across heterogeneous Al engines. A Synchronization Graph (SyncGraph) maintains acceptable inter-modal drift, while a Dynamic Media Formatter (DMF) applies bounded repair policies and packages synchronized outputs with timed metadata. A Policy / Constraint Graph enforces rights and provenance, logged in a Transform Manifest.

To provide a terminal and a data processing system for collecting biological data of a user.SOLUTION: The terminal device determines a value of an importance index which is an index indicating an importance degree in the wearer's activity calculated based on output data of each of the camera 42, the sensor 39, and the microphone 38. A control unit configured to set a storage mode for storing each piece of output data in a specific memory and execute control for recording each piece of output data according to the set storage mode in the memory, wherein the control unit sets the storage mode such that the output data is stored in a large capacity when the calculated value of the importance index is high and sets the storage mode such that the output data is stored in a small capacity when the calculated value of the importance index is low, when it is difficult to calculate the value of the importance index, the saving mode is set so that the output data is saved with a capacity between the large capacity and the small capacity.SELECTED DRAWING: Figure 4

This invention discloses a method for evaluating the credibility of personal passwords by integrating biometrics and a rule engine, relating to the field of password evaluation technology. The method includes the following steps: acquiring the user's biometric data and password input data, and parsing the password input data to obtain password structure switching points; isolating and identifying the biometric data based on the password structure switching points to obtain a first isolation zone; extracting biometric change feature sequences from the first isolation zone, and recombining the judgment rules in a preset rule engine based on the biometric change feature sequences to obtain a password structure rule group; evaluating the credibility of the personal password based on the password structure rule group, and outputting the password credibility evaluation result. This solves the problem that existing technologies fail to correlate password structure changes with the natural fluctuations of biometrics during the input process, leading to reduced accuracy in evaluating the credibility of the password input process.

This application relates to methods for operating a multi-modal sensor device and associated apparatus. The invention provides a BMD that has multiple device modes depending on the operating conditions of the device, such as motion intensity, device placement, and / or activity type, which are associated with various data processing algorithms. In some embodiments, the BMD is implemented as a wrist-worn or arm-worn device. In some embodiments, methods are provided for tracking physiological metrics using the BMD. In some embodiments, the process and the BMD apply time-domain analysis to data provided by the sensors of the BMD when the data has high signal (e.g., high signal-to-noise ratio), and apply frequency-domain analysis to the data when the data has low signal, which facilitates improved accuracy and speed of biometric data.

Embodiments described herein relate to a wearable device for monitoring a user's sleep metrics and adjusting the user's sleep conditions or environment. In some embodiments, the wearable device may include earbuds worn in each ear of a user, each earbud including one or more sensors for measuring biometric data related to a user's sleep. The wearable device may interface with and / or communicate with a supplemental device. In some embodiments, the supplemental device may be a charging case that may be capable of charging the earbuds. Biometric data collected using the wearable device may be used to determine sleep information including a user's sleep state and / or a sleep stage. In some embodiments, an audio output of the wearable device may be adjusted to improve a user's sleep conditions. In some embodiments, a beside speaker may be used in addition to or instead of the wearable device to improve a user's sleep.

Provided are an identity authentication method, an identity authentication device, and an identity authentication system. The identity authentication method may include transmitting, in response to receiving an authentication signal, a status update request signal to a server to trigger collection of authentication-purpose biometric data, downloading, in response to receiving a message about the collection of the authentication-purpose biometric data, the authentication-purpose biometric data from the server, and comparing the downloaded authentication-purpose biometric data with registered biometric data.

An object of the system according to the embodiment is to grasp movement of a line of sight or consciousness of an athlete or an instructor in detail and to compare the movement with that of the athlete or the instructor.SOLUTION: A system includes a line-of-sight recording unit, an analysis unit, an acquisition unit, and a comparison unit. The line-of-sight recording unit records the movement of the line of sight. The analysis unit analyzes the data recorded by the line-of-sight recording unit. The acquisition unit acquires biological information data of a user. The comparison unit compares the analysis result obtained by the analysis unit with the biological information data of the user.SELECTED DRAWING: Figure 1

The present disclosure provides a method and computer apparatus for analyzing biometric data to generate diagnostic information about a user, and a program therefor. The method according to an embodiment of the present disclosure comprises the steps of: analyzing biometric data on the basis of a pre-trained neural network model to determine a user's condition; on the basis of the user's condition and feature information corresponding to the biometric data, acquiring, from a pre-established database, context data that assists in explaining the user's condition; and generating a prompt on the basis of the context data, and providing the prompt to a language model to generate diagnostic information regarding the user's condition.