375 results about "Biometric trait" patented technology

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.

We provide the system. [Solution] In large-scale facilities, a means of acquiring visitors' biometric information upon entry, A means for comparing collected biometric information with image data acquired from a video device, A means of issuing a warning when matching biometric information is detected based on the matching process, A means of notifying facility staff who receive a warning of the current location of the discovered visitor, A means of identifying and protecting visitors using real-time video from multiple cameras, A means of notifying the visitor's guardian of the location information of a protected visitor, A system that includes this.

The present disclosure relates to a method for calculating the calibration sensitivity of a sensor for insertion into the body and, more particularly, to a method for calculating calibration sensitivity, wherein a biometric value of a user can be accurately calibrated by overcoming an error in a biometric value measured through a sensor for insertion into the body, or an error in a reference biometric value measured through a biometric information measurement device, by storing past sensitivities and using at least one of the past sensitivities and a currently calculated sensitivity to calculate a calibration sensitivity of the sensor for insertion into the body, and the calibration sensitivity of the sensor for insertion into the body can be accurately calculated, even if there is an error in the reference biometric value or the reference biometric value temporarily deviates from the range of normal biometric values of the user, by determining whether the reference biometric value used to calculate the calibration sensitivity is within an allowable range.

This invention discloses a method for generating public credit information reports, aiming to solve the problems of existing credit report query and generation systems, such as limited query dimensions, lack of security mechanisms for sensitive information queries, and inconvenience in report sharing and reuse. The method is executed by a server, including receiving report generation requests from user terminals and identifying query type identifiers; if it is a "domain-date query," the method obtains and verifies the target query domain and date range, determines whether it contains sensitive domains, requires biometric verification before querying and caching results, and directly queries non-sensitive domains. Credit information is obtained in parallel and integrated to generate a special report with a unique identifier, which is then notified to the user for download; if it is an "authorization code query," the method verifies the validity of the authorization code, and if valid, retrieves the associated already generated report. This invention supports flexible and accurate queries, ensures the security of sensitive information, achieves efficient report reuse through authorization codes, and reduces user burden and system load.

User enrollment to a biometric identification system begins with a pre-enrollment process on selected general input devices (GID) such as smartphones. The user may enter identification data such as their name and use a camera of the GID to acquire first image data, such as of their hand. The first image data is processed to determine a first representation. Upon presentation of a hand at a biometric input device, second image data is acquired. The second image data is processed to determine a second representation. If the second representation is deemed to be associated with the first representation, the enrollment process may be completed by storing the second representation for subsequent use.

Certain biometric authentication and verification methods use multiple biometric modalities of a given user in order to enhance their security. Circumvention of such methods sometimes involves presenting multiple biometrics as if they come from a single user when, in fact, they arise from more than one person. To thwart such attacks, it is necessary to bind multiple biometric modalities to each other. One binding method captures physiological signals of a user, such as pulse rate, in conjunction with the capture of each biometric. When the physiological signals associated with each of the biometric modalities match, the biometrics are bound. Another binding method captures an intermediate biometric when capturing each of the multiple biometric modalities. When the intermediate biometrics match, the multiple biometric modalities are bound. For example, for face and finger biometrics, a palm intermediate biometric may be used.

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.

Techniques are disclosed for authenticating a person based on the person's individual makeup application techniques (MATs) for secured access purposes. As combinations of MATs are highly individualized and may even be unique between different people, the disclosed techniques leverage MAT signatures as an authentication factor. For example, various makeup application technique footprints produced by corresponding MATs which were utilized to apply makeup to a subject person may be extracted from a captured image in which the subject person is depicted. One or more combinations of the extracted footprints may be compared to a MAT signature registry to thereby authorize the identity of the subject person or otherwise deny authorization of the subject person. MAT-based authentication may be combined with other authentication factors (such as biometric identification techniques) to provide increased levels of security.

An Artificial Intelligence Gaze Interface Sensor (AI GIS) system and method for precisely tracking human gaze on a digital or projected view plane without head-mounted hardware. A context camera detects a user's face and matches it against stored biometric profiles using AI facial recognition, automatically loading personalized eye geometry, inter-pupillary distance and gaze calibration data. A conditional activation controller initializes a second Peregrine Foveal Camera (PFC), modeled after the dual-fovea retina of the Falco peregrinus, only upon confirmed eye detection. An AI algorithm triggers visual effects, hidden content, animations, gaze-based engagements and semantically mapped audio on the digital or projected plane based on gaze coordinate outputs, from a dedicated computational pipeline, correlated to the digital or projected plane. This invention serves as the sensing layer for U.S. application Ser. No. 18 / 395,290.

Provided is an information processing method that generates information by using a trained model.　The information processing method includes a data acquisition step for acquiring input data, a biometric information acquisition step for acquiring biometric information of a user, a preprocessing step for preprocessing the input data on the basis of the biometric information, and a generation step for generating, on the basis of the preprocessed input data, information to be provided to the user. In the preprocessing step, a region of interest is identified from the input data on the basis of the biometric information, and the input data is preprocessed so as to include more information from the region of interest or to reduce the amount of information from areas other than the region of interest.

Even when multiple individuals are present in the monitoring area, the system efficiently monitors individuals and their biometric information or status. [Solution] The person analysis system comprises a radar device installed in the monitoring area at least once and outputting observation data including the results of observing the monitoring area using a radar system, and a person analysis device that performs the following based on the observation data: detecting the location of each of the multiple people present in the monitoring area and estimating the vital signs of each of the detected multiple people, and displays an area map corresponding to the monitoring area on a predetermined display device, displays pictograms at each of the detected multiple people on the area map, and displays information regarding the vital signs or behavior of a representative person among the multiple people.

According to an embodiment of the disclosure, a method for providing privacy enabled eye tracking performed by an electronic device may be provided. The method may include obtaining a first image of at least one eye of a user. The method may include extracting gaze information of the at least one eye, based on the first image. The method may include generating an image prompt based on the gaze information of the user. The method may include providing the image prompt with the gaze information to a pre-trained artificial intelligence (AI) model to generate a second image of the at least one eye of the user. The biometric information of the at least one of the user may be anonymized in the second image.

An information processing device (2) executes processing using a first learning model (7) and a second learning model (8). The information processing device (2) comprises: an acquisition unit (102) that acquires a reflected reception signal strength; a first estimation unit (104) that estimates a user attribute of an estimation target user by inputting the reflected reception signal strength to the first learning model (7); and a second estimation unit (106) that estimates biological information of the estimation target user by inputting the reflected reception signal strength and the user attribute of the estimation target user estimated by the first estimation unit (104) to the second learning model (8).

The application discloses a biological feature acquisition device, a storage device and an interaction method of the storage device, and belongs to the technical field of storage devices. The biological feature acquisition device is applied to the storage device and comprises a first detection module, a second light receiver and an interaction module. The first detection module comprises a first light emitter, a second light emitter and a first light receiver. The first light emitter is used for emitting first-waveband light. The second light emitter is used for emitting second-waveband light. The first light receiver is used for receiving the first-waveband light reflected by a target part and determining target position information based on the reflected first-waveband light. The second light receiver is arranged on one side of the first detection module. The second light receiver and the first detection module are located in an acquisition window. The second light receiver is used for receiving the second-waveband light reflected by the target part and performing biological feature detection based on the reflected second-waveband light. The first light receiver is used for sending an instruction for outputting interaction information to the interaction module based on the target position information.

A biometric information acquisition device includes an acquisition section that obtains first information based on a light amount of the red light received by the first light receiving element, second information based on a light amount of the infrared light received by the second light receiving element, and third information based on a light amount of the green light received by the third light receiving element; and the drive control section that controls a drive and a stop of each of the first light emitting element, the second light emitting element, and the third light emitting element; wherein the biometric information acquisition device measures first biometric information based on the first information and the second information, and second biometric information based on the third information, and the drive control section performs at least one of a first process, which stops the light emission of the first light emitting element and the second light emitting element when a measurement period for measuring the first biometric information reaches the first time period T1, and a second process, which stops the light emission of the third light emitting element when the measurement period for measuring the second biometric information reaches the second time period T2.

The Biometric Recognition and Transaction Engine Apparatuses, Processes and Systems (“BRTE”) transforms enrollment input, authentication input datastructure / inputs via BRTE components into enrollment output, authentication output outputs. A device identifying datastructure associated with a user's device is obtained. A device search is executed on a device graph database to determine a device record corresponding to the device and a device token is retrieved. A user identifying media datastructure structured as a media stream is obtained. A face print datastructure and a voice print datastructure are generated. A user seed identifying datastructure is obtained and analyzed to determine a user token. A set of face token records and a set of voice token records linked with the user token are determined. A face match score and a voice match score are determined and analyzed to authenticate the user. A login token indicating successful authentication is generated and provided for the device.

The application provides an identity verification method based on biometric recognition and a landing port monitoring robot, and relates to the technical field of identity verification and monitoring. Through the identity verification method based on the landing port monitoring robot, the multi-modal biometric features of the personnel to be verified and the current landing port scene parameters are synchronously collected, a dynamic verification strategy adjustment of scene adaptation is realized by combining an adaptive identity verification model, the problem that a fixed verification mode cannot adapt to a complex landing port scene is solved, and the adaptability and accuracy of biometric recognition in different scenes such as different human flows and illuminations are improved; through real-time comparison of the biometric features after recognition processing and a preset identity information database, efficient and accurate verification of the personnel identity is realized, risk level evaluation and differentiated landing port monitoring and control are completed in combination with the identity matching result, the landing port passing efficiency is improved, the accurate prevention and control of high-risk personnel are strengthened, and the safety, accuracy and passing efficiency of the landing port scene identity verification are taken into account.

A system for selecting an intraocular lens (IOL) for implantation in an eye includes a controller adapted to selectively execute a finite element model (FEM) and a machine learning module. The controller is adapted to receive input data including one or more biometric parameters of the eye. Based on the input data, a plurality of capsule parameters are extracted via the machine learning module. The controller is adapted to determine an axial displacement factor, in part, based on the plurality of capsule parameters via the FEM. The axial displacement factor takes into account the predicted axial offset of the IOL after implantation in the eye. When calculating lens constant parameters using the FEM and machine learning module, the axial displacement factor can be incorporated into the final IOL power.

A multi-party password book distribution method based on secret sharing, a sender uploads a password book to an interstellar file system through public key encryption, adopts secret sharing to secret split information obtained by splicing a public key and a Hash of an expected receiver, a receiver obtains a secret share through biological feature recognition technology, and obtains a sender public key through a judgment function to download an original password book from the interstellar file system. According to experimental results and security analysis, the scheme can guarantee high time efficiency and resist impersonation attacks, and guarantee the safe transmission of the password book. The present application solves the security problem of password book distribution by adopting a shamir threshold scheme, changes the threshold for safe password book distribution, dynamically solves the entry and exit of receivers, solves the problem that original covert communication can only perform one-to-one communication, and realizes one-to-many communication.

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.

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.

Methods for performing user authentication based on a similarity scoring technique for devices, such as head-mounted display devices, are disclosed. An image may be captured of an eye and may then be transformed into an iris feature representation. A similarity scoring technique may be determined based on discrimination factors of the iris feature representation and / or discrimination factors of one or more reference iris feature representations associated with a user identifier (ID). The similarity scoring technique may produce a similarity score based on applying a selected or modified scoring algorithm to the iris feature representation and the one or more reference iris feature representations. The similarity score may be compared to a threshold to provide an indication of whether the respective representations constitute a match. An authentication operation based on the user ID and the indication may be performed.

Provided herein may be an electronic device including a processor configured to control, in a selected first mode, one unit pixel among the plurality of unit pixels to emit light, and control the one unit pixel to be sensed, and configured to control, in a selected second mode, one unit pixel among the plurality of unit pixels to emit light, and control another unit pixel that does not emit light among the plurality of unit pixels to be sensed. The electronic device and a method of driving the electronic device in accordance with embodiments may provide a biometric authentication function and a biometric signal sensing function.

We provide the system. [Solution] A data collection means for receiving environmental and biometric information obtained from the user, An analysis means analyzes the data received from the data collection means and determines the user's state, Content generation means that generates virtual reality content based on the user's state determined by the analysis means, A means for transmitting generated virtual reality content to users, An adaptive mechanism that receives user interaction and dynamically adjusts content based on it, A means that enables the generation of virtual reality content related to the surrounding physical environment based on location information, A system that includes this.

Biometric metric wearable systems and methods are disclosed for detecting intended limb motion and invoking pain mitigation. Biometric signal data of a user is sensed by biosensor(s) that form part of respective sensor pod(s) of a biometric wearable device while the user performs an intended limb motion. The sensor pod(s) include biofeedback indicator(s). Processor(s) communicatively connected to the biometric wearable device analyze the biometric signal data to learn in real time or near real time user-specific biosignal pattern(s) detected when the user performs the intended limb motion, and generates therefrom learned user intent data configured for at least one of: (1) visualizing a virtual limb, (2) visually controlling a graphical aspect, and / or (3) visualizing the one or more user-specific biosignal patterns on a display device. The processor(s) then visualize the learned user intent data on the display device for invoking a pain mitigation effect with the user corresponding to the given limb.

A wearable device includes: a housing; a biometric information acquirer disposed on a surface of the housing and acquiring biometric information of a user; a functional material cartridge housed within the housing and storing functional material; a mouthpiece connected to the functional material cartridge and configured to expel the functional material; and a controller that provides recommendations related to the inhalation of the functional material based on the biometric information acquired by the biometric information acquirer.

This invention discloses a digital key authorization method, apparatus, and device based on multimodal biometrics, comprising: acquiring fingerprint, facial, and voiceprint information of a target person through a biometric acquisition device; matching corresponding identity information in a preset biometric database; acquiring the vehicle network status, external environment image, and device operating status of the biometric acquisition device of the target vehicle; determining the authentication environment security score of the target vehicle; determining the initial vehicle control permission level and initial authorization duration of the target person based on the identity information, adjusting them according to the authentication environment security score to obtain the target vehicle control permission level and target authorization duration; and granting digital key authorization to the target person based on the target vehicle control permission level and target authorization duration. This invention improves the accuracy and security of digital key authorization, ensures vehicle security and user experience, and can be applied to the field of security authentication technology.

This invention discloses a text-guided and cross-attention-assisted method and system for re-identifying pedestrians changing clothes. The method includes: preparing a dataset for re-identifying pedestrians changing clothes; resampling using a diversity identity sampler, prioritizing samples with high diversity to construct training batches; building a cross-modal feature representation model based on contrastive language-image pre-training, generating dynamic text prompts, and performing visual and text cross-modal alignment training; extracting key biometric features using pedestrian parsing technology, and constructing a residual-cross-attention mechanism to fuse RGB global features with biometric features; performing a second-stage optimization training by combining identity loss, triplet loss, and adaptive salient feature loss; inputting a query image into the trained model to obtain a list of pedestrian targets ranked by similarity. This invention significantly improves the recognition accuracy and model generalization performance in solving problems such as uneven data distribution and lack of semantic information in clothing-changing scenarios.