Abstract: A cardiac function measuring apparatus, a cardiac function measuring method, and a cardiac function measuring program capable of monitoring cardiac functions are disclosed. The cardiac function measuring apparatus for measuring data for evaluating cardiac functions includes an irradiation unit for irradiating a jugular with light, an imaging unit configured to acquire image data of the jugular, and a vein discriminating part configured to discriminate a shape of the jugular vein in the acquired image data and to calculate a shape complexity level indicating complexity in the shape of the jugular.

Abstract: Methods and systems establish a traffic policy for a personal electronic device based on one or more physical characteristics of the device. In some aspects, a database of traffic policies is maintained. The traffic policies are for accessing a network via a wireless communications link. A network access unit receives a request from a personal electronic device to access the network. The request is analyzed to determine a physical characteristic of the device. A traffic policy is established from the database for the device based, at least in part, on the determined physical characteristic of the device. Transmission of network traffic for the device is then scheduled based at least in part, on the established traffic policy.

Abstract: A fingerprint identification device and a fingerprint identification method are provided. The fingerprint identification device includes a self-emitting display panel, a fingerprint sensor and a processor. The self-emitting display panel displays at least one light pattern in a sensing region. The fingerprint sensor senses a finger object located above the sensing region of the self-emitting display panel to generate a first fingerprint image and a second fingerprint image corresponding to the at least one light pattern. The processor is coupled to the fingerprint sensor. The processor determines whether the first fingerprint image and the second fingerprint image have opposite tones to identify the finger object is a real finger or a fake finger.

Abstract: Robotic devices may be trained by a user guiding the robot along target action trajectory using an input signal. A robotic device may comprise an adaptive controller configured to generate control signal based on one or more of the user guidance, sensory input, performance measure, and/or other information. Training may comprise a plurality of trials, wherein for a given context the user and the robot's controller may collaborate to develop an association between the context and the target action. Upon developing the association, the adaptive controller may be capable of generating the control signal and/or an action indication prior and/or in lieu of user input. The predictive control functionality attained by the controller may enable autonomous operation of robotic devices obviating a need for continuing user guidance.

Abstract: The present invention relates to a method for controlling a device controller of an electronic device comprising a fingerprint sensor to transition from an at least partly active mode to an at least partly in-active mode. The fingerprint sensor itself is used for determining a presence of a finger on the fingerprint sensor, wherein a device controller is maintained in an at least partly active mode if a finger is detected on the fingerprint sensor. The present invention also relates to an electronic device comprising a fingerprint sensor and a device controller.

Abstract: Provided is a method and apparatus for providing a section divided heterogeneous image recognition service in a single image recognition service operating environment.

Abstract: Provided is relative multifactor authentication for interactions between users and one or more entities. Relative multifactor authentication includes monitoring a set of attributes associated with a user during an interaction between the user and the entity. The set of attributes include at least two of a behavioral attribute, a health attribute, a geospatial attribute, and a device attribute. Relative multifactor authentication also include comparing respective parameters of attributes of the set of attributes with expected parameters and determining an authentication status based on the comparison and weighted values assigned to respective attributes of the set of attributes. The user is selectively authenticated to begin to continue the interaction based on the authentication status.

Abstract: The technology described herein discloses systems and methods for upgrading biometric authentication system. The system can receive first biometric information in connection with an authentication request from a user. The system can authenticate the user via a first authentication system by comparing the first biometric information received in connection with the authentication request with second biometric information. The user can be automatically enrolled into a second authentication system using the first biometric information received in connection with the authentication request.

Abstract: A machine learning device provided in a worker management device observes, as state variables representing a current state of an environment, worker external state data indicating an external state of a worker and manufacturing machine state data indicating a state of a manufacturing machine, and acquires, as label data, worker status data indicating a status of the worker. The machine learning device then learns the worker external state data and the manufacturing machine state data in association with the worker status data by performing supervised learning using the observed state variables and the acquired label data.

Abstract: Implementations of the present specification disclose a comparison method and apparatus based on a plurality of face image frames and an electronic device. The method includes: obtaining a plurality of face image frames of a target object; selecting a first face image with a highest quality score from the plurality of face image frames, and adding the first face image to a candidate image set; in response to that a number of images in the candidate image set is less than a predetermined value, iteratively selecting, from the plurality of face image frames, a second face image that has a maximum average difference from all face images in the candidate image set in a predetermined parameter, to add the second face image to the candidate image set; and comparing the face images in the candidate image set with a stored face image of the target object.

Abstract: A usage control method for a medical detection device, a system and a medical detection device. The method includes: receiving, by the medical detection device, an operation instruction inputted by an operator, and prompting the operator to input an authorization file when the operation instruction instructs to perform configuration authorization; receiving an authorization file inputted by the operator, and displaying an operation interface corresponding to the operation instruction when the authorization file passes authentication; where the authorization file is generated by a dongle inserted into the medical detection device according to the number of available times and the device identification; executing, by the medical detection device, configuration content inputted by the operator on the operation interface.

Abstract: Embodiments of the invention provide a laser system including a laser station including at least one laser, at least one processor, and at least one non-transitory computer-readable storage medium in data communication with the at least one processor. The at least one non-transitory computer-readable storage medium includes program instructions executable by the at least one processor, and enabling or operating an exchange of data between the at least one laser station and at least one remote network. The laser system includes at least one GUI display configured and arranged to display operating parameters or functions of the at least one laser and/or any of the data exchanged between the laser station and at least one remote network. The program instructions include instructions that direct the processor to update the at least one GUI display with a plurality of user-selectable graphics arranged around the periphery or circumference of a central display.

Abstract: There is provided a biometric imaging system comprising: a display panel comprising: a plurality of display pixels controllable to form an image in the display and a plurality of individually controllable non-visible light emitting elements configured to the emit non-visible light, the non-visible light emitting elements being configured to form a controllable spatial irradiation pattern within an irradiation zone defined by the plurality of non-visible light emitting elements; and a control unit. The control unit is configured to identify a biometric object facing the display panel; determine a relative location of the biometric object in the irradiation zone; control the plurality of non-visible light emitting elements to form a spatial radiation pattern based on the location of the biometric object in relation to the display panel.

Abstract: A temperature measurement footprint device, a mobile temperature measurement device, and a method for determining a temperature measurement footprint are described. In an implementation, a temperature measurement footprint device includes a thermopile configured to measure a temperature of an object; a camera configured to capture an image of the object, the camera disposed proximate to and in communication with the thermopile; and a light source configured to illuminate the object, the light source disposed proximate to and in communication with the thermopile and the camera.

Abstract: The present teaching relates to method, system, medium, and implementation for biometric authentication in secure data management. Authentication is initiated for a person claiming to be a record owner prior to a transaction between the record owner and a service provider. Biometric based authentication of the person is performed by detecting liveness of the person and authenticating an identity of the person based on biometric information of the person. Upon successful authentication of the person, a trusted party processes a request directed to a trusted entity to validate one or more data items related to the record owner in order to proceed with the transaction and forward a cloaked identifier obtained based on the request, where the cloaked identifier is to be used by the service provider to seek a validation response with regard to the one or more data items from the trusted party.

Abstract: Techniques are described for presenting events detected by a monitoring system. A system receives a selection of a particular time period, identifies security events detected by a monitoring system during the selected time period, and classifies a subset of the identified security events as abnormal events. The system further generates a density of the identified security events over the selected time period, generates a density of the subset of the identified security events classified as abnormal events, and identifies monitoring system data associated with the selected time period. The system additionally generates a graphical representation of the density of the identified security events, the density of the subset of the identified security events classified as abnormal events, and the identified monitoring system data, and provides the graphical representation for display.

Abstract: The present disclosure provides feature data processing methods and devices. One exemplary feature data processing method comprises: classifying features into an important feature set and an auxiliary feature set according to information attribute values of the features; converting features in the auxiliary feature set to hash features; and combining the hash features with features in the important feature set, and setting the combined features as fingerprint features. Training and prediction of to-be-processed data can be performed based on the fingerprint features. With the embodiments of the present disclosure, training dimensions can be more controllable and the amount training data amount can be reduced. Therefore, the efficiency of data processing can be improved.

Abstract: A system (100) for detecting and labeling structures of interest includes a current patient study database (102) containing a current patient study (200) with clinical contextual information (706), a statistical model patient report database (104) containing at least one or more prior patient documents containing clinical contextual information (706), an image metadata processing engine (118) configured to extract metadata for preparing an input for an anatomical structure classifier (608), a natural language processing engine (120) configured to extract clinical context information (706) from the prior patient documents, an anatomical structure detection and labeling engine (718) or processor (112), and a display device (108) configured to display findings from the current patient study.

Abstract: The present disclosure generally relates to generating an automated police report after an accident. For example, a police officer may scan in an insurance card barcode, a VIN barcode, a driver's license number, etc., to populate fields of the automated police report. The automated police report may also include telematics data from an associated vehicle to determine an impact of a collision, a time and location of the collision, etc. A scene of the accident may also be reconstructed using satellite images and/or video taken at the time of the accident. For example, the scene may be reconstructed based on image sensors on the vehicle, weather data at the time of the collision, data communicated vehicle-to-vehicle from another vehicle, telematics data, etc. Images of the reconstructed scene and/or images of the actual scene from the satellite video may be included in the automated police report.

Abstract: Methods and apparatuses for providing security notification based on biometric identifier are described, in which one or more biometric information of a person may be utilized to permit or prohibit the person to access the vehicle. As such, the person may not access (or operate) the vehicle without satisfying security measures based on his/her biometric identifier generated from various biological information collected from the person. When the person is not authorized to access the vehicle, the security measures may transmit a security notification to an owner of the vehicle (e.g., a mobile device of the owner, an account of the owner) such that the owner may take appropriate steps in response to receiving the security notification. Such a notification may include the biometric information of the person, other information collected from the sensing component, a set of options for the owner to select from, among others.

Abstract: A method for generating an acoustic stimulus for use in an ear biometric process on a user, the method comprising: receiving an indication of stimulation frequencies for use in the ear biometric process; grouping the stimulation frequencies into bands of a psychoacoustic scale; generating the acoustic stimulus, the acoustic stimulus comprising a masked bandpass component within each band of the psychoacoustic scale that comprises one or more of the stimulation frequencies.

Abstract: The present disclosure provides a fingerprint identification method and apparatus, a storage medium, and a terminal. The fingerprint identification method includes: collecting a to-be-identified fingerprint image of a to-be-identified fingerprint; calculating an image correlation between the to-be-identified fingerprint image and a standard fingerprint image, wherein the standard fingerprint image is a fingerprint image collected from a standard fingerprint; and determining whether the to-be-identified fingerprint is consistent with the standard fingerprint according to the image correlation. The solution provided by the present disclosure can effectively improve the accuracy of fingerprint identification.

Abstract: Systems and methods of authorizing access to access-controlled environments are provided. In one example, a method includes receiving, passively by a computing device, user behavior authentication information indicative of a behavior of a user of the computing device, comparing, by the computing device, the user behavior authentication information to a stored user identifier associated with the user, calculating, by the computing device, a user identity probability based on the comparison of the user behavior authentication information to the stored user identifier, receiving, by the computing device, a request from the user to execute an access-controlled function, and granting, by the computing device, the request from the user responsive to determining that the user identity probability satisfies a first identity probability threshold associated with the access-controlled function.

Abstract: A server device that is a face image processing device includes a controller, a storage unit, an input unit, an output unit, and a registration database. The identification information of an entering person acquired at an entrance gate is transmitted to the server device and collated with the registration database by the controller, and persons related to the entering person and persons matching the entering person are included in a search range. Search load is reduced, errors are suppressed, and high speed is achieved by narrowing down the search range.

Abstract: Systems and methods are described herein for displaying subjects of a portion of content. Media data of content is analyzed during playback, and a number of action signatures are identified. Each action signature is associated with a particular subject within the content. The action signature is stored, along with a timestamp corresponding to a playback position at which the action signature begins, in association with an identifier of the particular subject. Upon receiving a command, icons representing each of a number of action signatures at or near the current playback position are displayed. Upon receiving user selection of an icon corresponding to a particular signature, a portion of the content corresponding to the action signature is played back.

Abstract: Systems and methods for automatically aggregating, evaluating, and providing a contextually relevant offer or incentive is disclosed. One method obtains a plurality of offers for a customer. Each of the plurality of offers is then evaluated to determine a contextual relevance of each of the plurality of offers. Each of the plurality of offers is then sorted into a best contextually relevant offer to a least contextually relevant offer order. The obtaining, evaluating, and sorting is continuously repeated until a time for using an offer is identified. The system and method then present the best contextually relevant offer.

Abstract: A method for face image processing is provided. The method includes the follows. A face image is recognized to obtain a recognition result. An image adjustment parameter set is obtained according to the recognition result. A deflection angle of a face in the face image relative to a reference face in a reference face image is determined. A target image adjustment parameter is selected from the image adjustment parameter set according to the deflection angle. The face image is processed according to the target image adjustment parameter. A device for face image processing, a storage medium, and an electronic device are further provided.

Abstract: The present invention relates to a convergent biometric authentication method based on a finger joint and a finger vein, and an apparatus therefor, which can solve the phenomenon of recognition rate degradation according to a change in finger positions by matching a fingerprint image of the finger joint and a fingerprint image of the finger vein, and can improve the recognition rate and authentication speed by means of a few number of feature points.

Abstract: A face attribute recognition method, electronic device, and storage medium. The method may include obtaining a face image, inputting the face image into an attribute recognition model, performing a forward calculation on the face image using the attribute recognition model to obtain a plurality of attribute values according to different types of attributes, and outputting the plurality of attribute values, the plurality of attribute values indicating recognition results of a plurality of attributes of the face image. The attribute recognition model may be obtained through training based on a plurality of sample face images, a plurality of sample attribute recognition results of the plurality of sample face images, and the different types of attributes.

Abstract: A method of managing a media file storage relocation and/or editing process that comprises receiving location data indicative a user geographical location of users during a monitored period and a capturing/uploading geographical location and time of each media file, using the file capturing/uploading geographical location and time to identify a spatiotemporal proximity of a group from the users to respective the media file capturing/uploading geographical location of one or more of the media files during a respective the media file capturing/uploading time, detecting member(s) of the group which is imaged in the one or more media files using a recognition function, such as a face and/or voice recognition functions and in response to the detecting, initiating a media file storage relocation process and/or an editing process.

Abstract: Systems and methods for detecting replay attacks on a biometric-based authentication system are disclosed herein. In some embodiments, the method includes generating a command set causing a fingerprint sensor to sequentially conduct a scan of pixels in the fingerprint sensor, wherein the command set includes one or more replay attack detection commands causing the fingerprint sensor to capture replay attack detection data, sending the commands to the fingerprint sensor, receiving fingerprint data, and evaluating the fingerprint data for the replay attack detection data. In some embodiments, the one or more replay attack detection commands include repeating the scan of a selected row of pixels, providing insufficient bias to a selected row of pixels, and/or providing too much bias to a selected row of pixels. In some embodiments, the replay attack detection commands are randomly generated for each scan. Various other aspects of the technology are described herein.

Abstract: Disclosed are an image retrieval method, an image retrieval apparatus, an image retrieval device and a computer-readable storage medium, wherein the image retrieval method including: extracting global features of an input image and obtaining a global feature code based on the global features; extracting content features of the input image and obtaining a content feature code based on the content features; splicing the global feature code with the content feature code to obtain a composite feature code of the input image; comparing the composite feature code with alternative feature codes in a feature code library to obtain an image retrieval result. By comprehensively considering the global features and the content features of the input image in the image retrieval process, the accuracy and retrieval efficiency of the retrieval results can be improved.

Abstract: An input device includes a fingerprint sensor and a processing system. The fingerprint sensor is configured to capture images of a sensing region of the input device. The processing system is configured to acquire a first image of the sensing region, where the first image includes one or more fingerprints. The processing system compares the first image with one or more adjunct templates to determine a similarity score for each of the one or more fingerprints. The processing system further compares at least one of the fingerprints with one or more fingerprints templates to determine a match score, and selectively authenticates the first image based at least in part on the similarity score and the match score.

Abstract: Disclosed is an intelligent terminal, for which the startup authentication includes first performing face authentication and continuing to perform gesture-based virtual password authentication after the face authentication, even if the face authentication is cracked, the gesture-based password authentication is required to perform for logging in, and so the intelligent terminal of the disclosure can effectively improve the security of authentication. Further, the gesture-based virtual password authentication is performed based on a gesture image input by a user in the air, so that since there is no need to perform input operations on a screen of the intelligent terminal, the aesthetics of the intelligent terminal will not be affected.

Abstract: Disclosed is a startup authentication method for an intelligent terminal, including first performing face authentication, and continuing to perform gesture-based virtual password authentication after the face authentication, wherein even if the face authentication is cracked, the gesture-based password authentication is required to perform for logging in, so the disclosure can effectively improve the security of authentication. Further, in the disclosure, the gesture-based virtual password authentication is performed based on a gesture image input by a user in the air, so that since there is no need to perform input operations on a screen of the intelligent terminal, the aesthetics of the intelligent terminal will not be affected. Moreover, in the disclosure, when the virtual password is determined by detecting binary images of fingertips, the disturbance of the binary images of the fingertips is also removed, which can improve the probability and efficiency in subsequent detection of the virtual password.

Abstract: An authentication apparatus includes one or more processors configured to temporally implement a neural network, used to extract a feature value from hidden nodes, that is connected to input nodes to which an electrocardiogram (ECG) signal is input so as to share a weight set with the input nodes, and to match the ECG signal and the extracted feature value to a user for registration.

Abstract: In one embodiment, a method includes receiving a first audio input from a user requesting access to information or a service, sending a request for the information or service to an authentication server, where the request includes first authentication information based on the first audio input and further includes a user identifier associated with the user, receiving a second audio input from a client system of the user, where the second audio input includes a first authentication code to be compared to a second authentication code generated by the authentication server, sending second authentication information based on the second audio input and the user identifier to the authentication server for verification, receiving, from the authentication server, an indication of whether the user is successfully authenticated based on the second authentication information, and providing, to the user, access to the information or service when the user is successfully authenticated.

Abstract: The present invention discloses a method of finger touch authentication through a fingerprint sensor. The method includes obtaining a plurality of touch operations through the fingerprint sensor, detecting a pattern of the plurality of touch operations; comparing the pattern with a registered pattern to generate a comparison result, and authenticating the plurality of touch operations on the basis of the comparison result, wherein the pattern indicates at least one feature, and the fingerprint sensor is capable of authenticating a fingerprint of a user after or before the finger touch authentication.

Abstract: A system includes one or more memory devices storing instructions, and one or more processors configured to execute the instructions to perform steps of a method providing biometric detection of coercion of a user. The system may detect a trigger event associated with a potential transfer of funds and may receive user biometric data. The system may determine, based on stored user biometric data and the detected user biometric data, a confidence level that the stored user biometric data is indicative of biological information representative of a user being in a stressed state. The system may initiate one or more precautionary safety measures.

Abstract: A method for verifying the identity of a user is provided that includes generating, by a computing device, a parameter for each processed frame in a video of biometric data captured from a user. The parameter results from movement of the computing device during capture of the biometric data. Moreover, the method includes generating a signal for the parameter and calculating a confidence score based on the generated signal and a classification model specific to the user. The classification model is generated from other signals generated for the parameter. Furthermore, the method includes verifying the identity of the user as true when the confidence score is at least equal to a threshold score.

Abstract: A fingerprint identification device is provided and includes a substrate, a fingerprint identification sensing component, a first driving assembly, and a control circuit. The fingerprint identification sensing component is disposed on the substrate and configured to receive fingerprint information about a finger of a user. The first driving assembly is disposed on the substrate. The control circuit is configured to transmit a control signal to the first driving assembly. When the finger is placed on the fingerprint identification device, the first driving assembly is configured to deform according to the control signal to drive the fingerprint identification sensing component so that the fingerprint identification sensing component is sequentially moved relative to the substrate in different directions.

Abstract: Disclosed are a print recognition module and a display device. The print recognition module includes a light guide structure including a light guide plate and an optical path adjusting component. The light guide plate includes a light incident surface and a light emergent surface arranged oppositely, and side surfaces connected between the light incident surface and the light emergent surface. A first optical sensor at a side of the light emergent surface, and a second optical sensor arranged corresponding to at least one of the side surfaces are provided. The optical path adjusting component is disposed between the side face and the second optical sensor, and includes a reflector. An included angle between the reflector and the light incident surface is an acute angle, and the reflector reflects at least part of light incident from the light incident side to the second optical sensor.

Abstract: An analytical recognition system includes one or more video cameras configured to capture video and a video analytics module configured to perform real-time video processing and analyzation of the captured video and generate non-video data. The video analytic module includes one or more algorithms configured to identify an abnormal situation. Each abnormal situation alerts the video analytics module to automatically issue an alert and track one or more objects or individuals by utilizing the one or more video cameras. The abnormal situation is selected from the group consisting of action of a particular individual, non-action of a particular individual, a temporal event, and an externally generated event.

Abstract: A webcam account security system that allows a user to require activation of a webcam when accessing an account. The system may prompt a user attempting to access the account to activate the webcam and may deny access to the account or require additional security procedures when access to the webcam is not granted. Additionally, the system may store any images or footage captured by the webcam for analysis in the case a fraud notification is received. The system may further deny access to the account when the webcam is unable to detect the face or an identifying characteristic of the person attempting to access the account.

Abstract: An electronic device includes a chassis, a back plate, a bracket, and a biological characteristic recognition module. The back plate is fixed to a chassis and has a first through hole. The bracket is fixed to a side of the back plate away from the chassis. The bracket has an accommodating slot recessed away from the chassis. The biological characteristic recognition module is located in the first through hole. The biological characteristic recognition module is abutted between the bracket and the chassis. The biological characteristic recognition module has at least one electronic component. The electronic component is accommodated in the accommodating slot.

Abstract: The present disclosure relates to an identity authentication method and a communications terminal. One example method includes: performing, by a terminal, first identity authentication on first user identity feature data; if the first identity authentication succeeds, and the wearable device is in a valid worn state, when receiving an access request for a preset application, obtaining, by the terminal, a service security level of the preset application, and obtaining an authentication time point for second identity authentication and matching accuracy of the second identity authentication; determining whether a difference between a current time point and the authentication time point is less than authentication validity duration corresponding to the service security level and whether the matching accuracy is higher than lowest matching accuracy corresponding to the service security level; and if yes, accepting the access request.

Abstract: An example transaction card may include a sensor to measure movement of the transaction card and one or more processors to monitor the movement of the transaction card via the sensor during a tracking period; determine measurements of a gait of a user during the tracking period from the movement of the transaction card during the tracking period; compare the measurements of the gait of the user during the tracking period and a gait signature associated with the transaction card; and/or perform an action associated with the transaction card based on a result of comparing the measurements of the gait of the user during the tracking period and the gait signature.

Abstract: Methods for realizing the CAPTCHA with 3D models and device thereof comprises following steps: (1) randomly selecting a 3D model from a model repository as an original model; generating two sets of random transformations; (2) applying the target transformations to the original model to generate a target model; generating a target image from rendering the target model; (3) applying the initial transformations to the original model to generate an operating model; displaying the operating model and the target image in two regions in client; (4) changing the property of the operating model through user interactive operation until the state of the operating model is consistent with the target image; generating a final transformations from the initial transformations by means of user interactive operation; (5) comparing the target transformations with the final transformations. It leverages the advantage of perception of 3D space in human beings.

Abstract: A biometric sensing apparatus is employed by a person in order to obtain biometric data regarding the person. Transmitting and receiving antennas are used in order to transmit and receive signals. Measurements of the received signals are correlated with biological activity in order to provide biometric data for the person.

Abstract: This relates to systems and methods for determining one or more physiological signals of a user using ambient light. The systems and methods can include one or more light sensors configured to measure light that has interacted with a user and one or more light sensors configured to measure ambient light. The gain of the one or more light sensors can be adjusted based on the levels of measured ambient light. For example, the gain of the one or more light sensors can be increased when ambient light levels are low (e.g., a low light environment), or the gain of the one or more light sensors can be decreased when ambient light levels are high (e.g., a bright light environment). In some examples, the systems can include a variable opacity element whose transmission properties (e.g., opacity and/or selected one or more wavelengths to pass through) can be varied.