Abstract: The claimed invention comprises software methods for user continuity and physiological state change assessments through generating biometric profiles of individuals and/or groups of individuals by using physiological input together with biomathematical modeling and machine learning techniques. Intra-individual variation in physiological variables including, but not limited to: heart rate, heart rate variability, pulse waveform and its derivatives, blood pressure, breathing rate, cardiopulmonary coupling, actigraphy and circadian rhythms characteristics, are exploited.

Abstract: An information processing apparatus includes an image acquisition unit that acquires an image obtained by capturing a real space using an image capturing unit, an estimation unit configured to, based on a feature extracted from the image, estimate a position of the image capturing unit, a generation unit configured to, based on the feature and the estimated position of the image capturing unit, generate a map of the feature in the real space, a parameter acquisition unit that acquires an environmental parameter indicating an environment of the real space, a recording unit that records a first environmental parameter acquired at a first time point when the map is generated, in association with the map, and a determination unit configured to, based on the first environmental parameter and a second environmental parameter acquired at a second time point after the first time point, determine whether the map can be used.

Abstract: Methods, systems, and non-transitory computer readable medium are described for forming an image sharing pool at a server device. The event associated with the sharing pool may be proposed by a moderator or detected by the server device based on examination of the metadata included in images received at the server device. Users who have uploaded images associated with the event or who are at the event may be invited to join the event. In another aspect of the present disclosure, provisional rights may be granted based on a user accepting an invitation to the event and permanent rights may be granted based on a user contributing an image to the sharing pool.

Abstract: Systems and processes associated with an augmented film crew.

Abstract: Methods and systems for navigating drivers to passengers based on trustworthiness ratings are provided. One example method includes receiving, by a transportation system, a request for transportation from a user and determining a trustworthiness rating of the user. The method further includes matching the user to a driver in a pool of drivers based on the trustworthiness rating of the user and dispatching the driver to fulfill the request. The method may further include matching a trusted driver or a driver with a high trustworthiness rating to the user when the request for transportation from the user is a first-time request for transportation or the user has a lower trustworthiness rating. Systems and at least one computer-readable non-transitory media including one or more instructions for performing the above method are also provided.

Abstract: A method and apparatus for editing an uploaded image are provided. A controller of the apparatus receives the uploaded image that contains an article area showing an image of a purchased article and a personal information area showing personal information. The controller identifies the article area and the personal information area in the received image, edits the received image to protect the personal information without damaging the article area, and posts the edited image to a webpage.

Abstract: A photo distribution method and a terminal are disclosed. In an embodiment a method for distributing photos include obtaining, by a first terminal in a photo sharing group, user portrait information and address information of a second terminal in the photo sharing group, obtaining, by the first terminal, first index information created by a third terminal in the photo sharing group, segmenting, by the first terminal, the first index information to obtain second index information, and allocating the second index information to a fourth terminal in the photo sharing group and sending, by the first terminal, the user portrait information and the address information of the second terminal to the fourth terminal.

Abstract: Methods of ensuring that the ownership, location, and provenance of a digital asset. The method utilizing a hash value and block chain technology to validate the ownership and provenance. The hash value derived from the digital asset itself. The methods comprising a registry and predetermined formula for generating a hash value from the digital asset, ownership information, storage location, and a description of the asset.

Abstract: Various switchable RFID devices are disclosed. These switchable RFID devices may include one or more RFID tags and one or more switches. Some of these one or more switches are optionally wireless. In various embodiments, the switchable RFID devices include cellular phones, security devices, identity devices, financial devices, remote controls, and the like. In some embodiments, switches are configured to enter data into a switchable RFID device, for example to select a financial account. Switches are optionally configured to program the RFID device or to operate as sensors.

Abstract: According to an implementation, a biometric camera device includes a plurality of image sensors including a first image sensor and a second image sensor, and a plurality of biometric processors including a first biometric processor connected to the first image sensor and a second biometric processor connected to the second image sensor. The first biometric processor is configured to receive and process image data from the first image sensor according to a first biometric algorithm, and the second biometric processor is configured to receive and process image data from the second image sensor according to a second biometric algorithm. The biometric camera device includes a controller connected to each of the plurality of biometric processors. The controller is configured to receive processed biometric data from each of the biometric plurality of biometric processors.

Abstract: A system and method is provided for using information broadcast by devices and resources in the immediate vicinity of a mobile device, or by sensors located within the mobile device itself, to ascertain and make a determination of the immediate environment and state of the mobile device. This determination may be used to control and manage the actions that the device is asked to carry out by or on behalf of the user.

Abstract: A system and method for selecting a test vector for use in classification of electronic components. The system and method can quickly and automatically select a test vector that, when applied to a set of training electronic components, causes the electronic components to produce side channel information that can be used to build a classifier that accurately classifies a set of test electronic components.

Abstract: A method for setting a camera, in particular of a monitoring device, comprising a recording of an image of a region to be monitored, an analysis of the recorded image to associate at least one image region of the image with an object, identification of the object on the basis of the acquired image region and ascertainment of a size of the object by access to stored size information of the identified object and a scaling of the image region associated with the object in the recorded image to scale the remaining acquired image and/or to determine a distance of the camera to the acquired object.

Abstract: The present disclosure relates generally to implementing biometric authentication, including providing user interfaces for: a biometric enrollment process tutorial, aligning a biometric feature for enrollment, enrolling a biometric feature, providing hints during a biometric enrollment process, application-based biometric authentication, autofilling biometrically secured fields, unlocking a device using biometric authentication, retrying biometric authentication, managing transfers using biometric authentication, interstitial user interfaces during biometric authentication, preventing retrying biometric authentication, cached biometric authentication, autofilling fillable fields based on visibility criteria, automatic log-in using biometric authentication, retrying biometric authentication at a credential entry user interface, providing indications of error conditions during biometric authentication, providing indications about the biometric sensor during biometric authentication, and orienting the device to

Abstract: Gaze tracking data may be analyzed to determine the onset and duration of a vision interrupting event, such as a blink or saccade. Presentation of images to a viewer may then be suspended during the vision interrupting event and resumed in sufficient time to ensure that the viewer sees the image at the time the vision interrupting event has concluded.

Abstract: In one embodiment, a technique is utilized to generate a virtual-room of a virtual room-based user interface that controls one or more devices within a physical room of a structure. A user is prompted to select one or more services provided by the one or more devices within the physical room. A plurality of images of the physical room are obtained that each share substantially a same perspective. The plurality of images include an all-off image, in which all of the one or more of the services are in an inactive state, and one or more service-specific images, in which a single service is in an active state and any other services are in the inactive state. The plurality of images are aligned to create an aligned image stack. One or more hit boxes are designated. The virtual room is generated based on the aligned image stack and the designated one or more hit boxes.

Abstract: An adaptive updating method of an enrollment database is disclosed. The method may include extracting a first feature vector from an input image of a user, determining whether the input image is to be enrolled in an enrollment database based on the first feature vector, second feature vectors of enrollment images including initial enrollment images enrolled in the enrollment database, and a representative vector representing the initial enrollment images, and enrolling the input image in the enrollment database based on a result of the determining.

Abstract: An information processing apparatus includes a position specifying unit that specifies a position of each member of an assembly, a biometric information acquiring unit that acquires biometric information from members of which the number is smaller than the number of all members, an activeness degree specifying unit that specifies, from the biometric information acquired by the biometric information acquiring unit, an activeness degree of the member from which the biometric information is acquired by the biometric information acquiring unit, and specifies, from the activeness degree and the position specified by the position specifying unit, an activeness degree of a member other than the member from which the biometric information is acquired by the biometric information acquiring unit among the members, and a determination unit that determines a state of the assembly from the activeness degree specified by the activeness degree specifying unit.

Abstract: A non-directional fingerprint and palmprint identification method and a non-directional fingerprint and palmprint data creation method. In the fingerprint and palmprint identification method, a fingerprint and palmprint identification device detects and scans the fingerprints and palmprint of a user to generate a fingerprint and palmprint image and transmit the image to a processor. The processor identifies and calculates the fingerprint and palmprint image to obtain the fingerprint of a specific finger and the palmprint. According to at least one reference line and the fingerprint of the specific finger and the palmprint, the processor identifies and processes the intersection points to generate multiple intersection points.

Abstract: Systems and methods are provided for use in processing transactions based on biometric data used in connection with authenticating consumers to payment accounts to which the transactions are directed. One exemplary method includes causing a biometric associated with a consumer to be received, when the consumer presents a payment device for funding a transaction with a merchant via a payment account associated with the payment device. The method also includes appending, by a computing device, a biometric score to an authorization request associated with the transaction at the merchant where the biometric score is indicative of a degree of match between the received biometric and a reference biometric, and transmitting, by the computing device, the authorization request whereby an issuer associated with the payment account is able to utilize the biometric score in determining to approve or decline the transaction.

Abstract: A method of adaptively updating an enrollment database is disclosed. The method may include extracting a first feature vector from an input image, the input image including a face of a user, determining whether to enroll the input image in the enrollment database based on the first feature vector, second feature vectors of enrollment images and a representative vector, the second feature vectors of the enrollment images being enrolled in the enrollment database, and the representative vector representing the second feature vectors, and enrolling the input image in the enrollment database based on a result of the determining.

Abstract: Techniques are provided for detecting an improper barcode using a neural network trained to identify an object from physical features appearing in images of object, and without resorting to using a barcode or other indicia to identify the object. The neural network is self-training, updating itself with selected images obtained at a Point-of-Sale. That is, the neural network is capable of training itself while performing improper barcode detection operations, such as spoofing detection.

Abstract: A user authentication system includes an image capture device and a controller communicatively coupled to the image capture device. The controller receives first image data associated with user identification information and generates a first set of biometric data based on the first image data. The controller also receives second image data associated with a first user action in response to the first set of biometric data approximately matching a first set of authenticated biometric data. The controller further generates a second set of biometric data based on the second image data and receives third image data associated with a second user action. The controller also generates a third set of biometric data based on the third image data. The controller further grant access to a user account in response to the second and third sets of biometric data approximately matching second and third sets of authenticated biometric data, respectively.

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 display device includes: a display panel which displays an image corresponding to an input image data in a display area; and a fingerprint sensor which senses a fingerprint of a finger using light reflected by the finger positioned on the display area among light emitted from the display panel. When a fingerprint sensing mode is changed to an activated state from an inactivated state, a luminance of an image displayed in a first display area corresponding to a position of the finger in the display area is increased.

Abstract: A vehicle control system includes a terminal device and a vehicle. The terminal device includes a first verification unit that verifies whether the terminal devices matches the vehicle through wireless communication when the terminal device enters an area in which wireless communication between the terminal device and the vehicle is available, and an operation instruction unit that receives an instruction to execute a predetermined operation of the vehicle from the user and the first verification unit has verified that the terminal device matches the vehicle, and transmits a signal according to the instruction to the vehicle, and the vehicle includes a second verification unit that communicates with the first identification unit and verify whether with the vehicle matches the terminal device, and an operation controller that receives the signal from the operation instruction unit and executes the predetermined operation according to the signal.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for acquiring facial information. A specific embodiment of the method comprises: acquiring to-be-processed voice information and a to-be-processed image, and performing voice recognition on the to-be-processed voice information to acquire query information, the to-be-processed image comprising a plurality of facial images, and the query information being used to instruct querying facial information of a specified facial image in the to-be-processed image; recognizing semantically the query information to acquire a keyword set for querying the facial information; processing the to-be-processed image to acquire facial information in the to-be-processed image; and acquiring facial information corresponding to the to-be-processed voice information from the facial information by using the keyword set.

Abstract: An apparatus includes a processor that extracts a plurality of feature points from a biological image, calculates a feature value of each of the plurality of extracted feature points, normalizes the calculated feature values to values of N levels (N is any natural number) based on a distribution of the feature values, and translates each normalized feature value to binary data by setting a number of bits corresponding to the normalized feature value to one of two digits in accordance with to a given order to make the normalized feature value and the number of bits with the one digit proportional to each other.

Abstract: Systems and methods may be used by an automatic fingerprint identification system to estimate patterns of a latent fingerprint. A latent fingerprint image, and a plurality of reference ridge flow maps may initially be obtained. Each reference ridge flow map may be associated with a particular fingerprint pattern. A latent ridge flow map for the obtained latent fingerprint image may be computed. One or more characteristics associated with the latent ridge flow map may be compared to one or more characteristics associated with each of the plurality of reference ridge flow maps. A similarity score between the latent ridge flow map and a particular reference ridge flow map may be computed for each of the plurality of reference ridge flow maps. One or more fingerprint patterns present within the latent fingerprint may then be determined and provided for output.

Abstract: A sensor device includes a fingerprint sensing module, configured to sense a first raw image using a first exposure time; and an exposure time adjusting module. The exposure time adjusting module is configured to obtain a first image according to the first raw image; determine whether the first image comprises a flicker noise; and adjust the first exposure time when the first image comprises the flicker noise, so as to mitigate the flicker noise.

Abstract: An information processing device including a light source control unit that controls a light source that irradiates an eye with light; and an exposure control unit that controls exposure for imaging the eye. The light source control unit sets a state of the light source to an on state or an off state at a time when the exposure is not performed.

Abstract: In one embodiment, an apparatus includes a processor and multiple pairs of cameras, where each camera of a first pair of cameras is separated from each other by one camera of a second pair of cameras. Each camera of the first pair of cameras has a first orientation, and each camera of the second pair of cameras has a second orientation that is different from the first orientation.

Abstract: The present disclosure provides systems and methods for assessing a mental state of a subject in a single session or over multiple different sessions, using for example an automated module to present and/or formulate at least one query based in part on one or more target mental states to be assessed. The query may be configured to elicit at least one response from the subject. The query may be transmitted in an audio, visual, and/or textual format to the subject to elicit the response. Data comprising the response from the subject can be received. The data can be processed using one or more individual, joint, or fused models. One or more assessments of the mental state associated with the subject can be generated for the single session, for each of the multiple different sessions, or upon completion of one or more sessions of the multiple different sessions.

Abstract: Embodiments for controlling a remote sensing device by one or more processors are described. Facial information associated with a plurality of organisms is received. A remote sensing direction for a remote sensing device is selected based on the received facial information. A signal representative of the remote sensing direction is generated.

Abstract: Disclosed is a face verification method and apparatus. The method including analyzing a current frame of a verification image, determining a current frame state score of the verification image indicating whether the current frame is in a state predetermined as being appropriate for verification, determining whether the current frame state score satisfies a predetermined validity condition, and selectively, based on a result of the determining of whether the current frame state score satisfies the predetermined validity condition, extracting a feature from the current frame and performing verification by comparing a determined similarity between the extracted feature and a registered feature to a set verification threshold.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for storing a plurality of stored fingerprints, wherein each of the stored fingerprints is associated with a respective software environment and a respective mobile device; receiving from a first mobile device a first fingerprint of a first software environment in the first mobile device; determining whether the stored fingerprints include less than a threshold amount of fingerprints identical to the first fingerprint; based on a determination that the stored fingerprints include less than the threshold amount of fingerprints identical to the first fingerprint, determining that the first software environment is a compromised software environment; and performing a corrective measure.

Abstract: Disclosed are a method and a related product for recognizing a live face. The method is applied to a terminal device including a front light emitting source, a front camera and an Application Processor (AP). The method includes the following actions. Upon reception of a face image collection instruction, the camera collects a first face image of a face when the source is in a first state. The camera collects a second face image of the face when the source is in a second state. The AP determines whether a difference between an eyeball area proportion in the first face image and an eyeball area proportion in the second face image is larger than a preset threshold; and if so, the AP determines that the collected face images are images of a live face.

Abstract: The present application relates to systems and methods using biometric data of an individual for identifying the individual and/or verifying the identity of an individual. These systems and methods are useful for, amongst many applications, more secure identification of high-risk individuals attempting to gain access to an entity, transport, information, location, security organization, law enforcement organization, transaction, services, authorized status, and/or funds.

Abstract: For a user in a social networking system, the social networking system provides photo spaces to facilitate communication between users. Icons represent other users, and the user interacts with an icon to view photos or other media items with which both the user and another user are associated (e.g., in which both users are visually present). When a user interacts with a photo or other media item, the social networking system generates a chat user interface for the user to have a private conversation with the second user with reference to the photo.

Abstract: Disclosed is a subject recognizing apparatus and method. The method may include extracting feature points from a target image, respectively measuring movement information of each of a plurality of the extracted feature points, selectively grouping the extracted feature points into one or more groups based on the respectively measured movement information, determining a type of subject present in at least one group of the one or more groups based on at least a portion of the subject present in the at least one group, and recognizing a subject included in the target image based on the determined type of subject.

Abstract: Disclosed is a user recognition apparatus and method, the apparatus configured to determine a validity of an iris area for each frame, to perform an iris recognition when the iris area is valid, and to extract a facial feature for a fusion recognition when the iris area is invalid.

Abstract: Methods, systems, and programming for user identification are presented. In one example, a system for acquiring biometric information is disclosed. The system comprises a housing including a surface for a person to place a finger thereon. The system also comprises a sensor, a first image acquisition portion, and a second image acquisition portion. The sensor is configured for sensing presence of the finger when the person places the finger on the surface. The first image acquisition portion is configured for acquiring a fingerprint image of the finger placed on the surface. The second image acquisition portion is configured for acquiring a finger vein image of the finger placed on the surface. The first and second image acquisition portions acquire their respective images at different times.

Abstract: Various authentication systems may benefit from detection of counterfeits. More particularly, certain authentication systems may benefit from a counterfeit detection scheme applicable to paper surfaces that can employ mobile cameras, such as the cameras associated with mobile phones. A method, according to certain embodiments, can include illuminating a surface of an item with a lighting source of a device. The method can also include capturing a plurality of images of the surface by a camera of the device during the illumination of the surface. The method can further include authenticating the item based on the plurality of images.

Abstract: An example computing device includes a shares generation unit configured to generate secret shares of biometric information of a user; a storage interface configured to interface with storage nodes for storing each of the secret shares to a corresponding one of the storage nodes; and a computation engine configured to perform re-enrollment by outputting a plurality of messages to instruct each of the storage nodes to generate a respective share of a new helper data in accordance with the secret shares of the biometric information and a secure computation protocol, receive the respective share of the new helper data from two or more storage nodes, and determine the new helper data based on the respective share of the new helper data from each of the two or more storage nodes for subsequent authentication of the user, wherein the re-enrollment occurs without receiving additional/repeat biometric information, thereby resulting in faster re-enrollment.

Abstract: An example system for inspecting railcar axles includes a flash source, an infrared camera, and a trigger sensor. The flash source is configured to apply a thermal pulse toward a surface of a railcar axle of a railcar wheelset, while the railcar wheelset is on a track. The infrared camera is configured to capture infrared data indicative of a thermal response of the surface of the railcar axle to the thermal pulse. The trigger sensor is configured to trigger the flash source to apply the thermal pulse based on a position of the railcar wheelset on the track. The example system can also include a processor configured to determine whether the captured infrared data is indicative of a crack on the surface of the railcar axle, and a vision camera configured to capture an image of the surface of the railcar axle.

Abstract: Provided is a process that includes: receiving, with a first device, a request to authenticate a user; obtaining, with the first device, an unstructured-data authentication input; extracting, with the first computing device, a plurality of features of the unstructured-data authentication input to form a structured-data representation; determining, with the first device, a first instance of a value that deterministically varies; and determining, with the first device, a first encrypted value based on both the structured-data representation and the first instance of the value that deterministically varies; and sending, with the first device, the first encrypted value to a second computing device.

Abstract: A system and method for dynamically ordering video streams on display in a command and control system according to video content, including obtaining a plurality of video streams captured by a plurality of respective video cameras; extracting features from the plurality of video streams; calculating abnormality scores for the extracted features, wherein each abnormality score measures a likelihood that a corresponding feature is an abnormal feature; calculating a current rank for ordering each of the plurality of video streams based on current and past abnormality scores of the features extracted from the video stream; and displaying a subgroup of the plurality of video streams having the highest subset of current ranks based on abnormality scores.

Abstract: An imaging apparatus includes a first light guide plate having a mounting surface including a mounting region where a part of a living body is to be mounted, a second light guide plate provided on the mounting surface excluding the mounting region, at least one first light source provided on an edge portion of the first light guide plate and configured to radiate first irradiation light of a prescribed wavelength to an interior of the first light guide plate, at least one second light source provided on an edge portion of the second light guide plate and configured to radiate second irradiation light of a prescribed wavelength to an interior of the second light guide plate, and an imaging unit placed on a side of a surface of the first light guide plate on an opposite side to the second light guide plate.

Abstract: An eye movement traces authentication system comprises an image capturing device, a display device, and a control unit. The image capturing device is for capturing a user's image. The display device is for providing a display interface for the user to watch. The control unit includes a facial feature recognition module or hand feature recognition module, an eye-movement analyzing module, an eye movement traces unlocking module, and a volitional confirmation module. The eye movement traces authentication system uses the user's facial features to confirm the user's identity and determines the user's watching direction and eye movement, by recording user's eye movement traces from the user's watching direction to verify the user's identity and by analyzing the user's eye movement to confirm, according to the user's eye movement, whether the user is operating volitionally.

Abstract: A method of detecting a replay attack comprises: receiving an audio signal representing speech; identifying speech content present in at least a portion of the audio signal; obtaining information about a frequency spectrum of each portion of the audio signal for which speech content is identified; and, for each portion of the audio signal for which speech content is identified: retrieving information about an expected frequency spectrum of the audio signal; comparing the frequency spectrum of portions of the audio signal for which speech content is identified with the respective expected frequency spectrum; and determining that the audio signal may result from a replay attack if a measure of a difference between the frequency spectrum of the portions of the audio signal for which speech content is identified and the respective expected frequency spectrum exceeds a threshold level.