Abstract: A watching monitoring apparatus includes a monitoring camera and a home server, and monitors a watching space in which a watched person exists. The monitoring camera images the watching space. The home server includes a person detector that detects a person from a captured image, and classifies the detected person into a face part and a body part, a processing-drawing part that performs a processing-drawing process with respect to the body part except for the face part, an image synthesizer that creates a synthesized image of an image subjected to the processing-drawing process and the captured image, and a network part through which the synthesized image is transmitted to a display terminal of a watching person. When the detected person has not been registered in face information registration data in which face information of the watched person is registered, the processing-drawing process is not performed with respect to the person.

Abstract: A first period when detection of a detection target body in contact with or proximity to a sensor is performed and a second period when detection of asperities on a surface of the detection target body is performed are set. First regions are set in a detection region of the sensor as input keys for a password. In the first period, one of segmented regions obtained by dividing a second region the center of which corresponds to coordinates of a touch detection position when the touch detection position for inputting of the password is detected in one of the first regions. In the second period, based on priorities set in advance according to the number of feature points of the detection target body, a segmented image detected in the segmented region for the inputting is output, and a certain number of segmented images are synthesized to generate a fingerprint image.

Abstract: User enrollment to a biometric identification system begins on selected general input devices (GID) such as smartphones. The user may enter identification data (e.g. name) and use a red-green-blue (RGB) camera of the GID to acquire a first image (e.g. hand). The first image is processed using both a first model to determine a first representation and a second model to determine a second representation. Upon presentation of a hand at a biometric input device, a second image is acquired using a first modality and a third image is acquired using a second modality. The second image is processed using the first model to determine a third representation. The third image is processed using the second model to determine a fourth representation. Given a match between both the first and third representations, as well as the second and fourth representations, enrollment is completed by storing the third and fourth representations.

Abstract: A video is segmented into a plurality of sequences corresponding to different facial states performed by a patient in the video. For each sequence, displacement of a plurality of groups of landmarks of a face of the patient is tracked, to obtain, for each group of the plurality of groups, one or more displacement measures characterizing positions of the landmarks of the group. The one or more displacement measures corresponding to each group are provided into a corresponding neural network, to obtain a landmark feature. The neural networks corresponding to each group are different from one another. A sequence score for the sequence is determined based on a plurality of landmark features corresponding to the groups. A plurality of sequence scores are provided into a machine learning component, to obtain a patient score. A disease state of the patient is determined based on the patient score.

Abstract: A system for implementing anomaly detection accesses user activities associated with an avatar in a virtual environment. The system extracts features from the user activities, where the features provide information about interactions of the avatar with other avatars and entities in the virtual environment. The system determines a deviation range for each feature, where the deviation range indicates a deviation between the features among the avatars over a certain period. The system determines whether the deviation range for a feature is more than a threshold deviation. If it is determined that a deviation range of a feature is more than the threshold deviation, a confidence score associated with the user is updated based on the deviation range of the feature. If the confidence score is more than a threshold score, the user is not associated with an anomaly. Otherwise, the user is determined to be associated with an anomaly.

Abstract: An activity recognition system is disclosed. A plurality of temporal features is generated from a digital representation of an observed activity using a feature detection algorithm. An observed activity graph comprising one or more clusters of temporal features generated from the digital representation is established, wherein each one of the one or more clusters of temporal features defines a node of the observed activity graph. At least one contextually relevant scoring technique is selected from similarity scoring techniques for known activity graphs, the at least one contextually relevant scoring technique being associated with activity ingestion metadata that satisfies device context criteria defined based on device contextual attributes of the digital representation, and a similarity activity score is calculated for the observed activity graph as a function of the at least one contextually relevant scoring technique, the similarity activity score being relative to at least one known activity graph.

Abstract: The present invention relates to an apparatus and method for verification of data contained in an unstructured data source, such as a supplier invoice. It is very difficult to obtain information from an unstructured data source, such as an invoice, using processing technology, without error. The apparatus and method are arranged to locate a predetermined data element in the invoice, using an optical character recognition application. The predetermined data element may be a company number, such as an ABN. The ABN can then be used to access databases to obtain further information relating to the supplier. For example, account details. The further information can be cross referenced against the unstructured data to confirm that the further information, such as account number is present in the unstructured data.

Abstract: Provided is a personal authentication device capable of simply securing security with little psychological and physical burden of a user to be authenticated. Personal authentication device includes: transmission unit that transmits a first acoustic signal to a user's head; observation unit that observes a second acoustic signal after the first acoustic signal propagation; calculation unit that calculates acoustic characteristics from the first and the second acoustic signal; extraction unit that extracts a feature amount related to a user from the acoustic characteristics; storage control unit that registers the feature amount in the storage unit; identification unit that identifies the user by collating the first feature amount with a second feature amount; and storage unit stores the first feature amount, wherein while identification unit identifies the user as being identical, transmission unit transmits the first acoustic signal every predetermined interval.

Abstract: According to one or more embodiments, an electronic device may include a main body, a sensor exposed to an outside through the main body, a display inside the main body, and configured to output a beam image through a lens exposed through the main body, a posture controller outside the display, and including gimbals configured to change a posture of the display, a driver configured to drive the posture controller, and a processor that is configured to track a user's hand position using the sensor, change the posture of the display based on the tracked hand position, move the lens such that an axis of the lens faces a palm of the user's hand, calculate a distance between the palm and the lens, and control the display to output the beam image generated based on the calculated distance.

Abstract: A biometric authentication device of the present invention includes a light guide layer on which a light diffusion unit for displaying an aerial image representing a design of a living body at a height is formed, a light source that irradiates the light guide layer with light, a polarized beam splitter disposed on an upper surface side of the light guide layer, a retroreflective layer disposed on a bottom surface side of the light guide layer, and an imaging camera that captures an image of a living body superimposed on the aerial image through an opening formed in the retroreflective layer, and performs biometric authentication based on an image captured by an imaging camera.

Abstract: In some implementations, a server device may receive, from a client device, a login credential associated with a user and a request to access a resource. The server device may identify a confidant associated with the user and a confidant device associated with the confidant, wherein the confidant device is different from a user device associated with the user. The server device may transmit, to the confidant device, a request to verify an identity of the user. The server device may determine whether a verification of the identity of the user is received from the confidant device. The server device may grant or deny access to the resource based on determining whether the verification of the identity of the user is received from the confidant device.

Abstract: A method of generating a biometric signature of a user for use in authentication using a neural network, the method comprising: receiving (110) a plurality of biometric samples from a user; extracting at least one feature vector using the plurality of biometric samples; using the elements of the at least one feature vector as inputs for a neural network; extracting the corresponding activations from an output layer of the neural network; and generating a biometric signature of the user using the extracted activations, such that a single biometric signature represents multiple biometric samples from the user.

Abstract: Disclosed are devices, systems, and methods for determining the dipole densities on a cardiac surface using a plurality of electrodes, including electrodes positioned on a torso of a patient.

Abstract: The invention relates to a sensor arrangement (101) configured to detect a motion of an object. The sensor arrangement (101) comprises a motion sensor (101a) configured to detect data about the motion of the object; a vibration sensor (101b) configured to detect a vibration of the sensor arrangement (101), wherein if the vibration is lower than a threshold value, then an output signal of the sensor arrangement (101) signaling the motion of the object is output.

Abstract: An information processing system includes a plurality of vehicle; and a server that is able to communicate with the plurality of vehicles. Each of the plurality of vehicles performs: generating a moving image in which a person outside the vehicle appears; and transmitting the moving image and an imaging time and an imaging position of the moving image to the server. The server performs: specifying two or more target moving images in which the same person appears out of a plurality of moving images received from the plurality of vehicles; detecting behavior of the person from the two or more target moving images; estimating attribute information of the person based on the detected behavior; and transmitting the estimated attribute information of the person and the imaging time and the imaging position of at least one of the target moving images to a client.

Abstract: A method for controlling the authentication of a user by an authentication device, the authentication being implemented by verification, by the authentication device, that a code entered by the user on an interaction interface of the authentication device corresponds to a predetermined code associated with the user is disclosed. A signal representative of a radio signal characteristic of an interaction of the user on the interaction interface of the authentication device is received by the user's terminal. The radio signal is transmitted by an antenna of the authentication device via a channel using electromagnetic wave conduction capacities of the user's body when the user enters the code. It is verified that the radio signal corresponds to a previously stored reference signal, and, in the event of a positive verification, a piece of data representative of the user's identity is transmitted to the authentication device for verification with the user's identity.

Abstract: In order to make user authentication for accessing an access-protected apparatus (10) quicker and more convenient, what is specified is a user authentication method in which a mobile electronic device (8) is used to capture biometric information of a user (9) of the device (8) during a recording interval. A computer system (6) is used to determine a confidence value on the basis of the biometric information. An authentication unit (7) is used to establish that the device is located within predefined surroundings of an apparatus (10). The authentication unit (7) is used to authorize access to the apparatus (10) on the basis of the confidence value.

Abstract: A biometrics authentication device for authenticating a person by comparing biometric features of a body part of the person with pre-stored biometric features of body parts of a plurality of registered persons is configured to: capture image data of the body part of the person; determine from the captured image data at least one characteristic geometric body part property of the body part of the person and biometric features of the body part of the person; limit comparison of the biometric features of the body part of the person to pre-stored biometric features of body parts of the plurality of registered persons which have a predefined similarity level with the at least one characteristic geometric body part property of the person.

Abstract: Detection of synthetic content in portrait videos, e.g., deep fakes, is achieved. Detectors blindly utilizing deep learning are not effective in catching fake content, as generative models produce realistic results. However, biological signals hidden in portrait videos which are neither spatially nor temporally preserved in fake content, can be used as implicit descriptors of authenticity. 99.39% accuracy in pairwise separation is achieved. A generalized classifier for fake content is formulated by analyzing signal transformations and corresponding feature sets. Signal maps are generated, and a CNN employed to improve the classifier for detecting synthetic content. Evaluation on several datasets produced superior detection rates against baselines, independent of the source generator, or properties of available fake content.

Abstract: An authentication device includes a deciding unit that, based on distribution information of the feature points included in a pattern present in some part of the body of the user, decides on the position of that part of the body to be used in authentication of the user. The authentication device further includes a guiding unit that, based on the decided position, guides the concerned part of the body to the decided position for the purpose of authentication of the user. The authentication device further includes an authenticating unit that performs authentication of the user based on feature information of the pattern as obtained due to the guiding.

Abstract: An information processing apparatus in the present invention includes: an acquisition unit that, based on registration information including a plurality of registrants and registration time associated with each of the plurality of registrants and on the current time, acquires a first biometrics information group including biometrics information on a candidate of a matching process from a registered biometrics information group including biometrics information on the plurality of registrants; and a matching unit that matches biometrics information on a person detected from an image captured in a matching area against biometrics information included in the first biometrics information group.

Abstract: The present disclosure relates to systems, methods, and devices for automatically verifying the authenticity and integrity of documents such as but not limited to instant lottery tickets.

Abstract: A device and method for non-contact optical imaging of a selected surface area of a user's hand, wherein the surface area is actively guided in a non-contact manner into a target position with respect to an image capture unit. For this purpose, the device has a frame in which the hand is inserted, assuming an actual position, roughly related to the target position. In addition, the device contains at least one active means for localizing the respective actual position and an output unit via which feedback is given to the user and the user iteratively guides the surface area into the target position. Advantageously, the device and method are suitable for distinguishing a natural hand from an artificial hand.

Abstract: A biometric authentication system (10) comprises a first imaging unit (11) that images a first image including a living body; a detecting unit (115) that detects a position of the living body in the first image; a second imaging unit (120) that images a second image including an authentication portion of the living body, based on the position of the living body in the first image; a calculating unit (140) that calculates an error between the first imaging unit and the second imaging unit based on the position of the living body in the first image and a position of the authentication portion in the second image; and an adjusting unit (150) that adjusts a set value relating to the second imaging unit, based on the error.

Abstract: An identification system includes a radar sensor configured to generate a time-domain or frequency-domain signal representative of electromagnetic waves reflected from one or more objects within a three-dimensional space over a period of time and a computation engine executing on one or more processors. The computation engine is configured to process the time-domain or frequency-domain signal to generate range and velocity data indicating motion by a living subject within the three-dimensional space. The computation engine is further configured to identify, based at least on the range and velocity data indicating the motion by the living subject, the living subject and output an indication of an identity of the living subject.

Abstract: A biological data registration support device includes: a control portion configured to acquire a plurality of registration scenarios, each including at least one verification method and associated with respective services, identify a verification method that is commonly included in the plurality of registration scenarios as a common verification method, and acquire one set of biological data for registration regarding the common verification method and one set of biological data for registration regarding the verification method other than the common verification method; and a transmitting portion configured to transmit the biological data for registration and the plurality registration scenarios acquired by the control portion.

Abstract: Aspects of the disclosure relate to computing hardware and software for enhancing collaborative experience security. A computing platform may receive, from a user device, a request to join an enhanced reality collaborative experience involving use of an avatar in an AR or VR environment. The computing platform may verify an authorization channel for the user device, and may grant the user device access to the enhanced reality collaborative experience. The computing platform may receive biometric information corresponding to the user. Using data collected by the user device and the biometric information, the computing platform may perform anomaly detection to detect anomalies in the avatar's participation in the enhanced reality collaborative experience. In response to detecting the anomalies, the computing platform may perform one or more security actions for the enhanced reality collaborative experience.

Abstract: Systems and methods for providing a multi-step identification process using a hybrid edge/server infrastructure to generate machine learned inferences are provided. One example method includes obtaining sensor data of an environment including one or more user. The method includes selecting at least a portion of the sensor data that is associated with the one or more users. The method includes generating, using one or more machine learning models, an intermediate representation of the selected portion of the sensor data that represents the face of the one or more users. The method includes transmitting the intermediate representation and a request for a user identification based on the intermediate representation, the remote computing system configured to perform additional steps of the multi-step identification process using the intermediate representation and the machine-learned system. The method includes receiving a user identifier for the one or more users.

Abstract: A method for detecting a change in an area of interest. The method includes: 1) forming a pointcloud that comprises: i) a first set of points derived from a first set of one or more images and ii) a second set of points derived from a second set of one or more images; 2) for each point included in the pointcloud, assigning a similarity score to the point; 3) for at least each point from the pointcloud that is included in a particular set of points (e.g., for each point in the pointcloud that is assigned a similarity score that exceeds a threshold (e.g. 0)), determining a value Nt and a value Nnew and adjusting the similarity score assigned to the point based on Nt and Nnew; and 4) using the adjusted similarity scores to determine whether the area of interest has changed.

Abstract: This disclosure describes techniques for providing instructions when receiving biometric data associated with a user. For instance, an electronic device may detect a portion of a user, such as a hand. The electronic device may then determine locations of the portion of the user relative to the electronic device. Based on the locations, the electronic device may cause a visual indicator to provide instructions to the user for placing the portion of the user at a target location relative to the electronic device. For example, the visual indicator may emit light indicating that the portion of the user is off-centered, angled, too low, and/or too high. After providing the instructions and determining that the portion of the user is at the target location, the electronic device may capture at least an image of the portion of the user and use the image to identify an account.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to improve performance of a compute device by detecting a scene change. An example apparatus includes scene change detection circuitry and interrupt circuitry. The example scene change detection circuitry is to determine a first score value for a first metric of similarity between a first image of a field of view (FOV) of an image sensor and a second image of the FOV, determine a second score value for a second metric of similarity between the first image and the second image, and compute a composite score value based on the first score value and the second score value. The example interrupt circuitry is to generate an interrupt to processor circuitry of the compute device to cause the processor circuitry to adjust a computation condition of the compute device based on the composite score.

Abstract: A biometric scanner apparatus comprising a biometric sensor configured to scan at least a biological sample and receive a unique biometric pattern, a secret data extractor configured to receive the unique biometric pattern from the biometric sensor and generate an output comprising a sample-specific secret, and a sample identifier circuit communicatively connected to the secret data extractor wherein the sample identifier circuit is configured to produce at least an output comprising a secure proof of the sample-specific secret.

Abstract: The disclosure is detecting an authentication target who is moving in a predetermined direction in a video; inputting a first image in which an entire body of the target; calculating characteristic information from an image of the entire body in the first image, comparing the calculated characteristic information with characteristic information of the entire body stored in first memory that stores characteristic information of entire bodies of targets, and extracting candidate information of the targets from the first memory based on a first authentication result; inputting a second image in which an iris of the target; and comparing characteristic information of irises stored in second memory that stores the characteristic information of the irises of targets with characteristic information of an iris from the second image, calculating a verification score, executing second authentication on the target in the second image based on the verification score, and outputting an authentication result.

Abstract: Another aspect of the present disclosure relates to a method for identification verification. The method may include receiving, from a computing device, a request for identification verification of an individual at a web server. The web server may include an orientation verification module and a facial recognition module. The method may include receiving at a database an identification card image and a picture image. The method may include verifying an orientation of the identification card image is oriented relative to an accepted orientation using the orientation verification module. The method may include, if the identification card image is not oriented relative to the accepted orientation, using the web server, iteratively rotating the identification card image in one or more increments and assessing if the identification card image is oriented at the accepted orientation until the identification card image is oriented at the accepted orientation.

Abstract: A method of authenticating a user that includes initializing the multi-factor authentication system based on an input; presenting a challenge requesting the user to enter a specific authenticator of a sequence of authenticators stored in the multi-factor authentication system, where the stored sequence of authenticators represents a combination of a plurality of authentication factors; receiving an authenticator from the user in response to the challenge; verifying identity of the user by determining whether the received authenticator matches the specific authenticator requested by the challenge; and granting the access based on a determination that the received authenticator matches the specific authenticator requested, or denying the access based on a determination that the received authenticator does not match the specific authenticator requested.

Abstract: Provided is a device that includes: a monitoring camera that is arranged at an entrance where an electric lock, which can read a unique ID of each key to be used, is installed, a detection unit configured to detect an operation of the electric lock, and a control unit configured to associate the unique ID of a used key with image data captured by the monitoring camera when an operation of the electric lock has been detected.

Abstract: A biometric identification device may be used to secure passwords and other valuable information. In one implementation, the biometric identification device may be a capacitive fingerprint sensor. Capacitive readings may be used to identify the ridges and valleys of a fingerprint and determine if an object contacting the fingerprint sensor is living tissue. Two-factor identification may be implemented by recognizing the authenticity of biometric inputs and a specific combination or sequence in which the biometric inputs are provided. A user interface is provided in which sequences of biometric inputs are associated with commands. A user may indicate a command by providing a predetermined sequence of fingerprints to a fingerprint scanner.

Abstract: In one embodiment, a method for authenticating a user with an electronic device is disclosed. The method incudes receiving digital sensor data from a motion sensor over a signal acquisition time period; deleting a beginning portion of the digital sensor data prior to the signal acquisition time period; suppressing signal components in the data associated with voluntary movement of the user; signal processing the suppressed digital sensor data to extract signal features representing neuro muscular tone of the user; tabulating the extracted signal features over periods of time into a feature vector table; executing a predictive model with the feature vector table; generating a numerical degree of matching level based on the feature vector table and the user parameter set; and making a determination to either authorize the user or not based on the numerical degree of matching level. The predictive model is trained by a user parameter set.

Abstract: This disclosure describes techniques for providing instructions when receiving biometric data associated with a user. For instance, a device may detect a portion of a user, such as a hand. The device may then display a first graphical element indicating a target location for placing the portion of the user above the user-recognition device. Additionally, the device may determine locations of the portion of the user above the device. The device may then display a second graphical element indicating the locations, such as when the locations are not proximate to the target location. Additionally, the device may display instructions for moving the portion of the user to the target location. Based on detecting that the location of the portion of the user is proximate to the target location, the device may send data representing the portion of the user to a remote system.

Abstract: A system, method and computer program product for continuous monitoring based on biometric information, includes an employee database storing employee information, including an employee name photograph; a notification server transmitting an incoming event, including an employee verification request, including a name of an employee name and a photograph of the employee to be verified; and a verification server couple to the notification server and accessing the employee database, based on the incoming event received from the notification server. The verification server determining if the name of the employee to be verified matches a name in the employee database, and if so, determining if the photograph of the employee to be verified biometrically matches a photograph corresponding to the matching name in the employee database, and if so, transmitting a positive verification result notification including multijurisdictional arrest and conviction data to a customer device via the notification server.

Abstract: A movement detection device includes a signal transmission device configured to transmit a radar signal transmission toward a target area and to receive reflected radar signals, and a signal analysis device configured to analyze the reflected radar signals to detect a movement in the target area that is indicative of micro-shivering. In response to detecting the micro-shivering, the movement detection device generates an alarm.

Abstract: An image-based approach of calibrating an ultrasound-probe is described, wherein at least two ultrasound-images which cross each other are acquired with a tracked ultrasound probe, and wherein the intersection areas of these images, which have been calculated on the basis of the tracked spatial position of the ultrasound probe are checked for similar image content. The grade of similarity gives an indication as to how well the ultrasound probe is calibrated.

Abstract: Systems and methods for generating dynamically updated metadata using real-time artificial intelligence models. For example, the system may receive a first metadata tag requirement for first metadata of a first media asset. The system may determine a first metadata field for the first metadata based on the first metadata tag requirement. The system may determine a first content population function for the first metadata field. The system may generate the first metadata with the first content population function. The system may generate the first media asset with the first metadata.

Abstract: For one embodiment of the present invention, a method of object detection and part segmentation is described. The method includes generating a three-dimensional (3D) point cloud including a plurality of points in a volume of a space of the point cloud based on receiving point cloud dat. The method further includes obtaining, with a global transformer, a set of global feature tokens and local feature points of the 3D point cloud, enforcing with an attention mechanism information flow across the set of global feature tokens and local feature point, and generating, with the global transformer, a set of new global feature tokens and new local feature points with modeled global context information.

Abstract: An information processing apparatus includes a processor configured to control change of an image in accordance with a situation in a place where authentication is executed, the image being formed in air to indicate a position where information is to be read in a non-contact manner from an object used for the authentication.

Abstract: A biometrics imaging device for capturing image data of a body part of a person comprises a visible light sensor for capturing image data of the body part in the visible light spectrum and/or a near infrared light sensor for capturing image data of the body part in the near infrared light spectrum. The biometrics imaging device comprises a time of flight camera for capturing three dimensional image data of the body part. The biometrics imaging device executes a procedure which includes: capturing three dimensional image data of a current body part posture; determining based of the image data a difference between a desired body part posture and the current body part posture; providing based on the determined difference user guidance to enable the person to adapt the body part posture in direction of the desired posture; and capturing image data in the visible light spectrum and/or image data in the infrared light spectrum.

Abstract: Provided is an image acquisition apparatus including a first hyperspectral image sensor configured to obtain a first image, and a processor configured to process the first image obtained by the first hyperspectral image sensor, wherein the processor is further configured to extract a spectrum of each pixel of the first image obtained by the first hyperspectral image sensor, correct the spectrum by normalizing the spectrum of each pixel, distinguish an object from a background within the first image by recognizing a pattern of the spectrum of each pixel, and correct a color of the object and a color of the background by using a spatial distribution of illuminations.

Abstract: A method for identifying a hand pose in a vehicle involves identifying a hand image for a hand in the vehicle by extraction from a vehicle image of the vehicle. A plurality of contextual images of the hand image is obtained based on the single point. Each of the plurality of contextual images are processed using one or more layers of a neural network to obtain a plurality of contextual features associated with the hand image. A hand pose associated with the hand is identified based on the plurality of contextual features using a classifier model.

Abstract: An imaging device and an authentication controller are provided. The imaging device includes a modulator that includes a first pattern and that modulates light intensity with the first pattern, an image sensor that converts a light beam transmitted through the modulator into imaging data and outputs the imaging data, an image processing unit that performs, to the imaging data, a reconstruction process in which an image of the subject is reconstructed based on the cross-correlation operation between the imaging data and the pattern data having a second pattern and acquires an image, and a distance measurement unit that repeats the reconstruction process to the imaging data while changing a focus distance and acquires a focus distance having a highest contrast in a measurement region as a distance. The authentication controller performs image authentication and distance authentication using image data and distance data acquired by the imaging device.

Abstract: Face image data is acquired and a face image is captured, and a difference between a face image indicated by the face image data and the face image that is captured or a candidate of the difference is detected on the basis of at least one of the face image indicated by the face image data that is acquired, and the face image that is captured. Guidance is acquired on the basis of the difference or the candidate of the difference which is detected, and an output unit is controlled to output the guidance.