615results about "Physiological signal biometric patterns" patented technology

The present invention is a biometric security system and method operable to authenticate one or more individuals using physiological signals. The method and system may comprise one of the following modes: instantaneous identity recognition (MR); or continuous identity recognition (CIR). The present invention may include a methodology and framework for biometric recognition using physiological signals and may utilize a machine learning utility. The machine learning utility may be presented and adapted to the needs of different application environments which constitute different application frameworks. The present invention may further incorporate a method and system for continuous authentication using physiological signals and a means of estimating relevant parameters.

Methods involving extraction of information from the inherent variability of physiometrics, including data on cardiovascular and pulmonary functions such as heart rate variability, characteristics of ECG traces, pulse, oxygenation of subcutaneous blood, respiration rate, temperature or CO2 content of exhaled air, heart sounds, and body resonance, can be used to identify individual subjects, particularly humans. Biometric data for use in the methods can be obtained either from contact sensors or at a distance. The methods can be performed alone or can be fused with previous identification algorithms.

An apparatus that includes a mobile phone detection system is provided. The apparatus comprises a wearable device having a pulse detection sensor, an RF detection sensor, and at least one processor. The pulse detection sensor is configured to detect a heart beat pulse of a body of a user wearing the wearable device. The RF detection sensor is configured to detect RF radiation signals from the body of the user wearing the wearable device. The processor may be operative responsive: to the pulse detection device detecting the pulse of the user; and the RF detection sensor detecting an RF radiation signal indicative of the user using a mobile phone; to output at least one notification signal indicative of the user using the mobile phone.

Video and corresponding metadata is accessed. Events of interest within the video are identified based on the corresponding metadata, and best scenes are identified based on the identified events of interest. A video summary can be generated including one or more of the identified best scenes. The video summary can be generated using a video summary template with slots corresponding to video clips selected from among sets of candidate video clips. Best scenes can also be identified by receiving an indication of an event of interest within video from a user during the capture of the video. Metadata patterns representing activities identified within video clips can be identified within other videos, which can subsequently be associated with the identified activities.

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.

The invention provides a method for verifying a person's identity, which includes obtaining a password and / or random key from a person, and comparing the obtained password and / or random key to a plurality of known passwords and / or random keys to determine a likely identity of the person. The method further includes measuring a specific biometric of the person, the specific biometric comprising a respiratory, cardiac, or other physiologic biometric, and comparing the measured specific biometric to the known specific biometric of the person that is associated with the obtained password and / or random key to verify the likely identity of the person.

The present invention is directed toward a method for calibrating a biometric authentication device over time. The method of the present invention involves obtaining an authenticating biometric value from a biometric measurement. The biometric value is then weighted and integrated into the authentication data set or template.

Video and corresponding metadata is accessed. Events of interest within the video are identified based on the corresponding metadata, and best scenes are identified based on the identified events of interest. A video summary can be generated including one or more of the identified best scenes. The video summary can be generated using a video summary template with slots corresponding to video clips selected from among sets of candidate video clips. Best scenes can also be identified by receiving an indication of an event of interest within video from a user during the capture of the video. Metadata patterns representing activities identified within video clips can be identified within other videos, which can subsequently be associated with the identified activities.

Video and corresponding metadata is accessed. Events of interest within the video are identified based on the corresponding metadata, and best scenes are identified based on the identified events of interest. A video summary can be generated including one or more of the identified best scenes. The video summary can be generated using a video summary template with slots corresponding to video clips selected from among sets of candidate video clips. Best scenes can also be identified by receiving an indication of an event of interest within video from a user during the capture of the video. Metadata patterns representing activities identified within video clips can be identified within other videos, which can subsequently be associated with the identified activities.

The present invention relates to a system and method for implementing an assistive emotional companion for a user, wherein the system is designed for capturing emotional as well as performance feedback of a participant participating in an interactive session either with a system or with a presenter participant and utilizing such feedback to adaptively customize subsequent parts of the interactive session in an iterative manner. The interactive presentation can either be a live person talking and / or presenting in person, or a streaming video in an interactive chat session, and an interactive session can be a video gaming activity, an interactive simulation, an entertainment software, an adaptive education training system, or the like. The physiological responses measured will be a combination of facial expression analysis, and voice expression analysis. Optionally, other signals such as camera based heart rate and / or touch based skin conductance may be included in certain embodiments.

Systems and methods for employing histological and physiological biometric markers that are substantially unique to an individual in order to activate a device, participate in a transaction, or identify himself or herself, wherein at least one biometric marker is obtained by one or more electrical contacts on the surface of the skin. A biometric identification of an individual is obtained by a heartbeat waveform, which is acquired by one or more direct electrical contacts. A mechanism for biometric authentication is used that includes one or more electrodes, an electrical signal receiver, a memory module, and a processing module.

A method and apparatus for extracting centerline representations of vascular structures in medical images is disclosed. A vessel orientation tensor for each of a plurality of voxels associated with the target vessel, such as a coronary artery, in a medical image, such as a coronary tomography angiography (CTA) image, using a trained vessel orientation tensor classifier. A flow field is estimated for the plurality of voxels associated with the target vessel in the medical image based on the vessel orientation tensor estimated for each of the plurality of voxels. A centerline of the target vessel is extracted based on the estimated flow field for the plurality of vessels associated with the target vessel in the medical image by detecting a path that carries maximum flow.

An embodiment generally relates to systems and methods for estimating heart rates of individuals using non-contact imaging. A processing module can process multi-spectral video images of individuals and detect skin blobs within different images of the multi-spectral video images. The skin blobs, can be converted into time series signals and processed with a band pass filter. Further, the time series signals can be processed to separate pulse signals from unnecessary signals. The heart rate of the individual can be estimated according to the resulting time series signal processing.

A system and method for implementing interactive media content is provided. Interactive media content is received for communication to a user through at least wireless earpieces. User biometrics are measured utilizing the wireless earpieces. A user condition associated with the user biometrics is determined. Branching patterns of the interactive media content are modified in response to the user condition. The interactive content may be a game or story.

An ECG management system provides a computer-assisted Quality Assurance step in an ECG management system. This step is preferably performed prior to releasing ECGs to the cardiologists for interpretation placement in the patient's permanent records. It involve comparing the ECG wave data to previously collected ECG data for the same and / or different named patients to enable error correction and / or proper patient naming.

An embodiment generally relates to systems and methods for estimating heart rates of individuals using non-contact imaging. A processing module can process multi-spectral video images of individuals and detect skin blobs within different images of the multi-spectral video images. The skin blobs can be converted into time series signals and processed with a band pass filter. Further, the time series signals can be processed to separate pulse signals from unnecessary signals. The heart rate of the individual can be estimated according to the resulting time series signal processing.

Biometric identification methods and apparatuses (including devices and systems) for uniquely identifying one an individual based on wearable garments including a plurality of sensors, including but not limited to sensors having multiple sensing modalities (e.g., movement, respiratory movements, heart rate, ECG, EEG, etc.).

Aspects of the subject disclosure are directed towards a video-based pulse / heart rate system that may use motion data to reduce or eliminate the effects of motion on pulse detection. Signal quality may be computed from (e.g., transformed) video signal data, such as by providing video signal feature data to a trained classifier that provides a measure of the quality of pulse information in each signal. Based upon the signal quality data, corresponding waveforms may be processed to select one for extracting pulse information therefrom. Heart rate data may be computed from the extracted pulse information, which may be smoothed into a heart rate value for a time window based upon confidence and / or prior heart rate data.

A biometric identification apparatus and method using bio signals and an artificial neural network, are provided. The biometric identification apparatus includes: a periodic signal extraction unit which extracts one or more periodic signals from an input bio signal; a template calculation unit which calculates a template value using the extracted periodic signals; a template storage unit which stores a plurality of template values corresponding to a plurality of living bodies; and a reading unit which reads the template value that is most approximate to the template value calculated by the template calculation unit from the template storage unit. Accordingly, it is possible to identify a living body by taking into consideration all of the characteristics of bio signals detected from the living body.

A wearable sensor vehicle with a bio-input sensor and a processor. When the vehicle is worn, the sensor is arranged so as to sense bio-input from the user. The sensor senses bio-input, the processor compares the bio-input to a standard, and if the standard is met the processor indicates a response. The user may be uniquely identified from the bio-input. One or more systems on or communicating with the vehicle may be controlled transparently, without requiring direct action by the user. Control actions may include security identification of the user, logging in to accounts or programs, setting preferences, etc. The sensor collects bio-input substantially without instruction or dedicated action from the user; the processor compares bio-input against the standard substantially without instruction or dedicated action from the user; and the processor generates and / or implements a response based on the bio-input substantially without instruction or dedicated action from the user.

The invention provides a method for verifying a person's identity, which includes obtaining a password and / or random key from a person, and comparing the obtained password and / or random key to a plurality of known passwords and / or random keys to determine a likely identity of the person. The method further includes measuring a specific biometric of the person, the specific biometric comprising a respiratory, cardiac, or other physiologic biometric, and comparing the measured specific biometric to the known specific biometric of the person that is associated with the obtained password and / or random key to verify the likely identity of the person.

A method is provided for processing and displaying biometric data of a user, either alone or together (in synchronization) with other data, such as video data of the user during a time that the biometric data was acquired. The method includes storing biometric data so that it is linked to an identifier and at least one time-stamp (e.g., a start time, a sample rate, etc.), and storing video data so that it is linked to the identifier and at least one time-stamp (e.g., a start time). By storing data in this fashion, biometric data can be displayed (either in real-time or delayed) in synchronization with video data, and biometric data can be searched to identify at least one biometric event. Video corresponding to the biometric event can then be displayed, either alone or together with at least one biometric of the user during the biometric event.

A system and method for processing photoplethysmography (PPG) signals in a vehicle. The system and method include receiving a PPG waveform signal from an optical sensor. The system and method also include processing a PPG measurement signal based on the PPG waveform signal. The system and method additionally include receiving a noise waveform signal from at least one of: a seat assembly sensor, a vehicle sensor, and a vehicle system. Additionally, the system and method include processing a motion artifacts measurement signal based on the noise waveform signal. The system and method further include processing a refined PPG signal to suppress the motion artifacts measurement signal from the PPG measurement signal.

Systems, apparatus, and methods for continuously authenticating individuals are provided. A continuous authentication system receives first biometric authentication information from an individual. The system compares the first biometric authentication information to stored first biometric information to identify the individual and links the identified individual to a device for obtaining second biometric authentication information. The device for obtaining second biometric authentication information continuously receives second biometric authentication information. The continuous authentication system compares the received second biometric authentication information to stored second biometric information that corresponds to the individual to determine if the received second biometric authentication information corresponds to the individual. The individual may be granted access to one or more access points if it is determined that the received second biometric authentication information corresponds to the individual.

Techniques for measuring the emotional state of minds in a person based upon a set of biological data captured from a person in a natural environment, where the person is not restricted at all in his movement. Various sensing data from sensors are captured with or without the intervention of the person. In addition, expression data is also captured before, during or after the sensing signals are captured. The data sets are processed to filter out those uncorrelated. A dedicated computing device is provided to collect the data along with other necessary data available on the Internet, where the measurement of the emotion is measured, derived or calculated based on the collected data, and / or any historical measurements of the person. The result may be shared with a list of contacts selected by the person who may also views theirs as well.

The present invention is directed to a method in a computer system for individualizing a heartbeat signal for use as a biometric marker. The invention is carried out by acquiring a plurality of electronic heartbeat signals from an individual in an electronic signal form. The signals are measured to obtain an actual measurement of a plurality of variable features of the electronic signals relating to the heartbeats. The measurements are mathematically analyzed to provide the probability of divergence of each actual measurement. Using the calculated probability of divergence, subsequently received waveform measurements are analyzed for authentication purposes.