1615results about "Multiple biometrics use" patented technology

A dialogue system and a method for the same are disclosed. The dialogue system includes a multimodal input unit receiving speech and non-speech information of a user, a domain reasoner, which stores a plurality of pre-stored situations, each of which is formed by a combination one or more speech and non-speech information, calculating each adaptability of the pre-stored situations on the basis of a generated situation based on the speech and the non-speech information received from the multimodal input unit, and determining a current domain according to the calculated adaptability, a dialogue manager to select a response corresponding to the current domain, and a multimodal output unit to output the response. The dialogue system performs domain reasoning using a situation including information combinations reflected in the domain reasoning process, current information, and a speech recognition result, and reduces the size of a dialogue search space while increasing domain reasoning accuracy.

Systems and methods for enrolling and authenticating a user in an authentication system via a user's camera of camera equipped mobile device include capturing and storing enrollment biometric information from at least one first image of the user taken via the camera of the mobile device, capturing authentication biometric information from at least one second image of the user, capturing, during imaging of the at least one second image, path parameters via at least one movement detecting sensor indicating an authentication movement of the mobile device, comparing the authentication biometric information to the stored enrollment biometric information, and comparing the authentication movement of the mobile device to an expected movement of the mobile device to determine whether the authentication movement sufficiently corresponds to the expected movement.

The invention relates to an artificial intelligence early warning system. The system comprises an intelligent Internet of Things and risk factor data acquisition system (100), and a risk factor management system (200), a cloud computing device (300), a cloud storage device (400), a cloud database (500), and an artificial intelligence early warning operation system (600), an artificial intelligenceearly warning server (700), an internet + distributed early warning police booth (800), a five-level artificial intelligence early warning system (900), a four-level artificial intelligence early warning system (1000), a three-level artificial intelligence early warning system (1100), a two-level artificial intelligence early warning system (1200) and a one-level artificial intelligence early warning system (1300). The artificial intelligence early warning system of the present invention collects, compares, analyzes, deduces, evaluates the risk factors, and carries out the cloud computing, cloud storage, graded alarming and prevention and control, so that all-weather 24-hour monitoring on monitoring points around the police box is achieved, a user can share information, the utilization rate of information resources is increased, and the safety guarantee is increased for maintaining the stability of the borderlands.

A system and method for providing secure authorization to an electronic device by combining two or more security features of authentication processed at substantially the same time where at least one of the factors is a “tolerant” factor. By combining two factors such as facial recognition and a screen gesture, these can be analyzed at substantially the same time such that the tolerance match required by the tolerant factors for providing a better user authentication experience without reducing the overall security accuracy.

A system, apparatus, method, and machine readable medium are described for performing eye tracking during authentication. For example, one embodiment of a method comprises: receiving a request to authenticate a user; presenting one or more screen layouts to the user; capturing a sequence of images which include the user's eyes as the one or more screen layouts are displayed; and (a) performing eye movement detection across the sequence of images to identify a correlation between motion of the user's eyes as the one or more screen layouts are presented and an expected motion of the user's eyes as the one or more screen layouts are presented and / or (b) measuring the eye's pupil size to identify a correlation between the effective light intensity of the screen and its effect on the user's eye pupil size; capturing audio of the user's voice; and performing voice recognition techniques to determine a correlation between the captured audio of the user's voice and one or more voice prints.

A surveillance system is provided that includes at least one sensor disposed in a security area of a surveillance region to sense an occurrence of a potential security breach event; a plurality of cameras is disposed in the surveillance region; at least one camera of the plurality has a view of the security area and can be configured to automatically gather biometric information concerning at least one subject person in the vicinity of the security area in response to the sensing of a potential security breach event; one or more other of the plurality of cameras can be configured to search for the at least one subject person; a processing system is programmed to produce a subject dossier corresponding to the at least one subject person to match biometric information of one or more persons captured by one or more of the other cameras with corresponding biometric information in the subject dossier.

Disclosed are a smart watch and a method of operating the same, in which fingerprint information and biometric information are measured by a single motion, a certain duration is set such that biometric information measured in the duration is generated into authenticated information or secured information, and transmitted or output to the outside. The smart watch includes a body, a fingerprint information acquisition unit provided on one surface of the body and configured to acquire fingerprint information about a user by a touch pressure applied from an outside, a biometric information acquisition unit provided on the other surface of the body, opposite to the one surface of the body, and configured to acquire biometric information about the user while contacting the skin of the user, and a control unit provided in the body and configured to acquire the fingerprint information and the biometric information for a predetermined period of time based on a point in time at which the touch pressure is applied if the touch pressure is greater than a reference pressure, and to generate user authentication information by using the acquired fingerprint information and biometric information.

A system and method is provided that authenticates a user using hybrid biometrics information, such as a user's image information, a user's voice information, etc. The user authentication method includes: acquiring a number of biometrics information; generating a number of authentication information corresponding to the acquired biometrics information; and performing an integral user authentication based on the by generated authentication information.

The invention provides a multi-mode based emotion recognition method, comprising a data collection device, an output device and an emotion analysis software system, wherein the emotion analysis software system performs comprehensive analysis and reasoning on data obtained by the data collection device and finally outputs a result to the output device. The specific steps are as follows: an emotionrecognition step based on facial image expressions, an emotion recognition step based on voice signals, an emotion analysis step based on text semantic, an emotion recognition step based on human gestures, an emotion recognition step based on physiological signals, a semantic comprehension step based on multi-round dialogues, and a multi-mode emotion semantic fusion association judgment step basedon timing sequence. The multi-mode based emotion recognition method provided by the invention has the advantages of breaking through the five kinds of single-mode emotion recognition, innovatively performing comprehensive judgment on the information of multiple single modes by using a deep neural network through neural network coding, deep correlation and understanding, greatly improving the accuracy and being suitable for most general inquiry interaction application scenes.

A mobile device is able to capture a plurality of different biometric identifiers of a subject. The mobile device displays a user interface on a screen of the device to guide the user in the capture of valid biometric identifiers. The user interface includes several different displays configured to guide users through the capture process to improve the chance that the user will capture valid biometric identifiers. The user interface includes displays for iris image capture, face image capture, voice capture, and fingerprint capture. The displays streamline the capture process, decreasing the overall knowledge and time required of the user to capture valid biometric identifiers. This also decreases the risk to the user in hostile environments. The device also processes the captured biometric identifiers to determine if they are valid, and updates the display of the user interface accordingly.

A method for verifying user identity and age includes: using a front camera to receive a frontal image of a human face; using a rear camera to receive an image of an identification document, from which a headshot and a date of birth code are extracted; determining whether there is a coincidence or not by comparing the face image and the headshot; determining whether an age value, calculated by comparing the date of birth code and a current date, is greater than or equal to a threshold value; when the face image coincides the headshot and the age value is larger than or equal to the threshold value, the verification is passed and an online transaction proceeds; when the face image is not consistent with the headshot or the age value is smaller than the threshold value, the verification fails and the online transaction is terminated.

Systems and methods of the invention relate to managing an inventory of items within a storage container. A storage container can house one or more items for distribution among one or more users such as, for instance, employees. The storage container discussed herein provides authentication of a user, tracking of the inventory each user removes or returns, video / image capture of user during access of the storage container, wireless tracking of items housed within the storage container, among others.

An enrollment kiosk for collecting personal data includes a slidable main module and at least one modifiable section removably coupled to the main module. The main module includes a processor and one or more biometric sensing devices coupled to the processor. The one or more biometric sensing devices include a right fingerprint sensor coupled to the processor and a left fingerprint sensor coupled to the processor. The right fingerprint sensor is positioned a predetermined distance apart from the left fingerprint sensor. The at least one modifiable section includes at least one first input device coupled to the processor. The kiosk also includes a scene camera configured to record a video of an area surrounding the enrollment kiosk and to transmit the video to a remote operator being located remotely from the enrollment kiosk

A system and method for providing secure authorization to a device (800) that includes the steps of combining two or more security factors for authentication (805,807) operating at about the same time where at least one of the factors is a “tolerant” factor. By combining two factors analyzed at about the same time (805,807), the tolerance match required by the tolerant factor(s) can be reduced without reducing the overall security accuracy.

A method of biometric recognition is provided. Multiple images of the face or other non-iris image and iris of an individual are acquired. If the multiple images are determined to form an expected sequence of images, the face and iris images are associated together. A single camera preferably acquires both the iris and face images by changing at least one of the zoom, position, or dynamic range of the camera. The dynamic range can be adjusted by at least one of adjusting the gain settings of the camera, adjusting the exposure time, and / or adjusting the illuminator brightness. The expected sequence determination can be made by determining if the accumulated motion vectors of the multiple images is consistent with an expected set of motion vectors and / or ensuring that the iris remains in the field of view of all of the multiple images.

A biometric system that uses readings from a plurality of biometrics of a user is disclosed. The biometric system includes a first and second biometric readers, a first and second biometric matching engines and a processor. The first biometric reader producing a first measured biometric that is processed by the first biometric matching engine to deliver a first value, which is indicative of a likelihood that the first measured biometric matches a first stored biometric reading. A plurality of first values are gathered prior to the first value. The second biometric reader delivers a second measured biometric for processing by the second biometric matching engine to produce a second value, which is indicative of a likelihood that the second measured biometric matches a second stored biometric reading. A plurality of second values are gathered prior to the second value. The first and second biometric readers measure a different biometric, or the first and second biometric matching engines use a different algorithm. The processor normalizes the first value according to the plurality of first values, normalizes the second value according to the plurality of second values, and determines if the user matches a person using the normalized first and second values.

The present invention relates to biologically and behaviorally based methods of measuring audience response to a short stimulus.

The passive continuous authentication method uses biometric feedback to perform the authentication processes. Computer software and sensors are provided to acquire, memorize, and authenticate both the user's hard (facial) and soft (clothing) biometric information. A registration phase compels the user to register his / her face image into a registration database. Subsequently, the system permits the user to login the system based on facial recognition of the image presented by an attached webcam of the system. During a computing session the system repetitively authenticates the user's identity by comparing the user's acquired face image (hard biometric) to the registered face image in the database. A clothes color histogram (soft biometric) is also computed. The hard biometric recognition mainly decides the authentication result. Otherwise, clothes color histogram matching takes place to decide the result. When the user leaves the terminal the screen locks up. Successful authentication unlocks the screen upon user return.

Technologies are presented herein in support of a system and method for performing fingerprint recognition. Embodiments of the present invention concern a system and method for capturing a user's biometric features and generating an identifier characterizing the user's biometric features using a mobile device such as a smartphone. The biometric identifier is generated using imagery captured of a plurality of fingers of a user for the purposes of authenticating / identifying the user according to the captured biometrics and determining the user's liveness. The present disclosure also describes additional techniques for preventing erroneous authentication caused by spoofing. In some examples, the anti-spoofing techniques may include capturing one or more images of a user's fingers and analyzing the captured images for indications of liveness.

Biometric authorization is provided for a passive secure data card. An additional layer of security may be provided in the form of a biometric password. Session timing may be enforced to limit opportunities of third parties to snoop transmitted information while providing ample time to complete the card transaction. Biometric retries may be enforced to limit opportunities of third parties to hack the biometric security.

Methods and apparatuses for authenticating a biometric scanner, such as area type finger print scanners, involves estimating unique intrinsic characteristics of the scanner (scanner pattern), that are permanent over time, and can identify a scanner even among scanners of the same manufacturer and model. Image processing and analysis are used to extract a scanner pattern from images acquired with the scanner. The scanner pattern is used to verify whether the scanner that acquired a particular image is the same as the scanner that acquired one or several images during enrollment of the biometric information. Authenticating the scanner can prevent subsequent security attacks using counterfeit biometric information on the scanner, or on the user authentication system.

A system and method for providing quick retrieval of personal medical history profile is disclosed. The method includes maintaining in a database for each of a plurality of individuals a medical history profile and corresponding at least one biometric characteristic. The medical history profile is retrieved from the database based on the at least one biometric characteristic of the individual.

A biometric system that uses readings from a plurality of biometrics of a user is disclosed. The biometric system includes a first and second biometric readers, a first and second biometric matching engines and a processor. The first biometric reader producing a first measured biometric that is processed by the first biometric matching engine to deliver a first value, which is indicative of a likelihood that the first measured biometric matches a first stored biometric reading. A plurality of first values are gathered prior to the first value. The second biometric reader delivers a second measured biometric for processing by the second biometric matching engine to produce a second value, which is indicative of a likelihood that the second measured biometric matches a second stored biometric reading. A plurality of second values are gathered prior to the second value. The first and second biometric readers measure a different biometric, or the first and second biometric matching engines use a different algorithm. The processor normalizes the first value according to the plurality of first values, normalizes the second value according to the plurality of second values, and determines if the user matches a person using the normalized first and second values.

The invention provides a student state determination method, device and system. The method is applied to an online network teaching scene. A student side terminal of a network is equipped with a modality acquisition apparatus. The modality acquisition apparatus comprises a camera, an eye tracker and a body feeling instrument. The method comprises the following steps: obtaining data collected by the modality acquisition apparatus through the student side terminal, the data comprising expression data collected by the camera, eye data collected by the eye tracker and body state data collected by the body feeling instrument; based on image recognition technology, carrying out analysis processing on the expression data and the eye data to obtain emotion state information and fatigue and concentration degree state information of each student; and carrying out joint analysis on the body state data, the emotion state information and the fatigue and concentration degree state information to obtain state information of each student, wherein the state information comprises a high attention state, a low attention state and a dependence attention state. The student state determination method, device and system help teachers to know the learning state of each student clearly in network teaching.

The present invention provides techniques for efficient searching of a multi-modal biometric database. Nested searching improves search efficiency by using the results of a previous biometric modality search to limit the search population for subsequent biometric searches. The method can also be used in combinations of non-biometric searches limiting subsequent biometric searches or vice versa.

The invention discloses a temporal semantic fusion association determining sub-system based on a multimodal emotion recognition system. The sub-system comprises a data collection device and an outputdevice and is characterized by further comprising an emotion analysis software system, wherein the emotion analysis software system performs comprehensive analysis and deduction on data obtained by the data collection device and finally outputs a result to the output device, and the emotion analysis software system comprises a time sequence-based semantic fusion association determining sub-system.The system makes a breakthrough of five single modes of emotion recognition, uses a deep neural network to encode, deeply associate and comprehend multiple single modes of information and then determines comprehensively, thereby greatly improving the accuracy and being suitable for most common inquiry interaction scenes.

A system and method based on hybrid biometric detection capture first images of a user that is projected by first light of different wavelengths, extract various biometric informations from the first images, analyze and compare for each of the biometric informations to generate a matching score, determine an identity for the user according to all of the matching scores, generate second images and PPG signals from dispensed second light from the user, generate a time and PPG variation signal and a space and PPG variation signal for each frame of the second images, convert the time and PPG variation signals into frequency domain signals, determine a reference frequency according to the space and PPG variation signals, retrieve energy of the frequency domain signals at the reference frequency, and establish a three-dimensional energy distribution from the retrieved energy.

Systems and methods for enrolling and authenticating a user in an authentication system via a user's camera of camera equipped mobile device include capturing and storing enrollment biometric information from at least one first image of the user taken via the camera of the mobile device, capturing authentication biometric information from at least one second image of the user, capturing, during imaging of the at least one second image, path parameters via at least one movement detecting sensor indicating an authentication movement of the mobile device, comparing the authentication biometric information to the stored enrollment biometric information, and comparing the authentication movement of the mobile device to an expected movement of the mobile device to determine whether the authentication movement sufficiently corresponds to the expected movement.

A biometric mobile device is capable of interacting with existing cellular, wireless, and wired telecommunication and other communication networks to support intelligence gathering, human body identification, special operations and other applications. A method of collecting biometric data at an accident or crime scene may comprise, for example, utilizing a camera to photograph the accident scene, collecting key entered data that may not be otherwise obtainable, using a fingerprint scanner to collect, digitize and store fingerprint data, using a lab-on-a-chip DNA profile device for collecting and analyzing a DNA specimen and generating identification and DNA profile data for bar code entry and other means for collecting any known form of biometric data including, but not limited to, vascular facial structure, dental structure, cornea, iris or other data which may be unique or limiting for identification purposes.