221results about "Person identification" patented technology

A wearable system can include an electronic device configured to measure one or more physiological parameters of a patient and a wearable device configured to operably position the electronic device. The electronic device can have at least one light emitter and at least one light detector and be configured to measure at least a pulse oximetry measurement. The wearable device can have a main body with a cavity configured to position the electronic device, a securement portion connected to the main body and configured to secure the main body to the patient, and storage component configured to store patient identification data associated with the patient. When the electronic device and the wearable device are secured to one another, the patient identification data can be transferred from the wearable device to the electronic device.

A system configured to facilitate monitoring a patient when the patient transitions between environments. The system can have an in-room display terminal configured to display indicia of a health of the patient for electronically monitoring the health of the patient within a healthcare environment. The system can receive, via the in-room display terminal, a request to initiate monitoring the patient with the in-room display terminal at the healthcare environment; access historical physiological data associated with the patient and generated by a home monitoring device before the patient enters the healthcare environment; access real-time physiological data associated with the patient and originating from a physiological monitoring device coupled to the patient within the healthcare environment; generate one or more physiological parameters from the real-time physiological data and the historical physiological data; and cause the in-room display terminal to display indicia of the one or more physiological parameters.

A computer implemented method for governing risk actions by an artificial intelligence (AI) browser, by classifying a proposed action by the AI browser based on a large language model (LLM) as safe or risky based on AI weights or based on policy rules; initiating a step up authentication flow for a risk action; presenting an action summary and required capabilities to the user for approval; and enforcing user configured spend or scope limits on the risk action.

Systems, methods, and non-transitory computer readable media including instructions for providing private answers to silent questions are described. Providing private answers to silent questions includes receiving signals indicative of particular facial micromovements in an absence of perceptible vocalization; accessing a data structure correlating facial micromovements with words; using the received signals to perform a lookup in the data structure of particular words associated with the particular facial micromovements; determining a query from the particular words; accessing at least one data structure to perform a look up for an answer to the query; and generating a discreet output that includes the answer to the query.

A surgical computing system may receive usage data associated with movement of a surgical instrument and user inputs to the surgical instrument. The surgical computing system may receive motion and / or biomarker sensor data from sensing systems applied to the operator of the surgical instrument. The surgical computing system may determine, based on at least one of the usage data and / or the sensor data, a control feature for implementation by the surgical instrument. The surgical computing system may communicate the determined control feature(s) to the surgical instrument. The surgical instrument may modify its operation based on the control features.

A surgical computing system may receive measurement data from at least one sensing system. The measurement data may be associated with a set of patient biomarkers of a patient. A surgical computing system may obtain a set of patient parameters associated with the patient. A surgical computing system may generate vectorized patient data based on at least the measurement data and a set of patient-specific parameters. A surgical computing system may use a predictive model to predict an occurrence of a prolonged air leak (PAL) based at least on the vectorized patient data. A surgical computing system may generate a set of recommendations for preventing the PAL.

According to an embodiment, a wearable electronic device may include at least two electrodes for measuring a biometric signal, a living body contact detecting unit configured to apply a voltage to at least one electrode contacting a living body among the at least two electrodes and output information indicating an operation state for biometric signal measurement of the wearable electronic device based on a voltage output from the at least one electrode, and a processor configured to determine the operation state for biometric signal measurement of the wearable electronic device, based on the information received from the living body contact detecting unit. Various other embodiments may be provided.

Disclosed is an electrocardiogram biometric authentication device and method that allows user addition. An electrocardiogram biometric authentication method performed by a computing device comprising at least a processor includes acquiring a target electrocardiogram signal of a user; generating a plurality of vectors by preprocessing the target electrocardiogram signal; generating an embedding vector by inputting the plurality of vectors to a pretrained embedding model; retrieving a similar embedding vector having a smallest distance from the embedding vector from among prestored embedding vectors; and authenticating the user based on a distance between the embedding vector and the similar embedding vector.

Introduced are methods and systems for an adjustable bed device configured to: gather biological signals associated with a user, analyze the gathered human biological signal; and heat or cool a bed based on the analysis.

Device (10) for extracorporeal blood treatment, in particular a dialysis device (10) which includes a radar sensor (17) for monitoring a patient (P) located at a treatment station, at least one shut-off device (13, 30) for shutting off a line (23) connected venously to the patient (P) and / or for shutting off an arterial line (22) connected to the patient (P), in particular in the form of a hose clamp (30) clamping an elastic or flexible area of ​​the line (22, 23), a blood pump and has a control unit (14), wherein the control unit (14) is set up and configured to determine a patient's (P) respiratory rate and / or respiratory amplitude based on signals from the radar sensor (17) and to trigger an alarm signal if the respiratory rate and / or respiratory amplitude detected by the radar sensor (17) deviates from one or more preset limit values, the shut-off device (13, 30) can be automatically operated via the control unit (14) in the event of an alarm and The blood pump is stopped in case of an alarm.

A method for patient identification comprises the steps of: determining (S10) initial identification data during an initial measurement of a patient (P) using a first measuring device (1) for determining ophthalmic and / or optometric measurement data; and determining (S30) a patient ID of the patient based on the determined initial identification data. The invention also relates to a system or computer program (product).

By utilizing the existing speaker drivers associated with the dam headphones, smart headphone functionality is enabled without the need for additional auxiliary sensors, providing a peripheral device that excels in terms of weight, volume, cost, and power consumption. [Solution] The zeroing circuit 300, which selectively couples to the magnetic coil driver of the headset, includes a Wheatstone bridge that detects minute fluctuations in the headphone driver voltage caused by the excitation signal, thereby zeroing out the electrical energy associated with the audio input signal. This provides an output signal that mainly consists of the electrical energy associated with the excitation signal generated by the magnetic coil driver in response to external pressure applied to the diaphragm.

Introduced are methods and systems for an adjustable bed device configured to: gather biological signals associated with multiple users, such as heart rate, respiration rate, or temperature; analyze the gathered human biological signals; and heat or cool a bed based on the analysis.

The present invention relates to a rank-based user-to-user and user-to-venue matchmaking. A user profile is created on a user device through a software application or website. The user can generate temporary points by performing various temporary points attributing actions as described above. The temporary points will become permanent points after real-world authentication process, the user may perform some predefined real-world activities to directly attribute points to the permanent points. The permanent points determine the rank or status of the user profile. Further, the user based on his / her user profile is enabled to view / match another user's profile. The real-world authentication and various other points attributing actions performed by a user have certain virtual or real-world benefits to the user.

To provide a sensing device, etc. capable of performing sensing of a living body more accurately.SOLUTION: A sensing device 200 includes: an acquisition unit 230 for acquiring wireless machine information acquired from at least one wireless machine of a first wireless machine 100 disposed in an object space 400 capable of performing at least wireless transmission and a second wireless machine 201 disposed in the object space 400 capable of performing at least wireless reception; a determination unit 240 for determining whether or not a movable wireless machine of the first wireless machine 100 and the second wireless machine 201 is standing still; and a sensing unit 250 for performing sensing of a living body 300 in the object space 400 using CSI (channel state information) included in the wireless machine information that is received by the second wireless machine 201 from the first wireless machine 100 when the determination unit 240 determines that the movable wireless machine is standing still.SELECTED DRAWING: Figure 2

A sphygmomanometer (1) of the present application includes a cuff for pressing a measurement site of a subject, and measures blood pressure by observing the pressure of the cuff. The sphygmomanometer (1) includes a feature acquisition unit (220) that acquires feature information about a pressure change pattern that increases in rate and rises over time from the start of pressurization, during pressurization of the cuff, for a subject to be authenticated, and an authentication unit (240) that compares the acquired feature information with registration feature information about a user registered in advance, and performs individual authentication of the subject.

A health status platform includes a receiving component that receives a test result a test of a biological sample collected from a human patient. The test result includes an indication of a presence of an infectious disease in the patient, and an identification and a verification of the patient. The platform includes a certificate component that issues a certificate of origin of the biological sample; and a data merging component that cooperates with a venue access manager that controls access to a venue. The data merging component implements a distributed ledger system that stores encrypted test results of the patient and the identification and verification of the patient, and an end-to-end encryption system that receives an encrypted venue access request from a venue access manager, decrypts the access request, determines if an access request is valid, and if valid, provides an encrypted certificate of origin to the venue access manager.

The invention discloses a method for training a gait recognition model of unbalanced data acquired in the real world, and relates to the technical field of gait recognition data analysis, and the method comprises the steps: obtaining experiment balance gait data and real-time gait data of a corresponding time point; according to the method, gait category real-time analysis and labeling are carried out on a balance data set and a real-time data set, a feature vector feature center point value under each gait type is calculated, and a mean square error is used for optimizing an error of the center point value between experimental balance gait data and real-time gait data at a corresponding time point; setting a judging and comparing program of the real-time feature vector and the balance feature vector, calculating the probability of belonging to the same class by adopting cosine similarity, taking the real-time feature vector after projection dimension reduction as input sample data of an initial gait recognition model, taking the balance feature vector of a balance data set as a supervision label, training the gait recognition model, and obtaining a real-time gait recognition model; therefore, accurate recognition of real-time gaits is realized.

An aerosol delivery device is provided that includes at least one housing structured to retain an aerosol precursor composition. The device includes an atomizer, and a microprocessor configured to operate in an active mode in which the control body is configured to control the atomizer to activate and produce an aerosol from the aerosol precursor composition. And the device includes a heart rate monitor including a plurality of biopotential electrodes affixed to the housing and configured to obtain biopotential measurements from a user, and including signal conditioning circuitry configured to produce an electrocardiogram signal from the biopotential measurements. The microprocessor is coupled to the signal conditioning circuitry and further configured to control operation of at least one functional element of the aerosol delivery device based on the electrocardiogram signal or a heart rate of the user calculated therefrom.

A biometric authentication device is provided with: a replay unit for reproducing a sound; an ear authentication unit for acquiring a reverberation sound of the sound in an ear of a user to be authenticated, extracting an ear acoustic feature from the reverberation sound, and calculating an ear authentication score by comparing the extracted ear acoustic feature with an ear acoustic feature stored in advance; a voice authentication unit for extracting a talker feature from a voice of the user that has been input, and calculating a voice authentication score by comparing the extracted talker feature with a talker feature stored in advance; and an authentication integration unit for outputting an authentication integration result calculated based on the ear authentication score and the voice authentication score. After the sound is output into the ear, a recording unit inputs the voice of the user.

A method for processing wireless sensor data at a server is provided, the method comprising: receiving sensor data from a plurality of wireless sensors; determining a device strategy associated with the received sensor data; retrieving and activating at least one handler for the received sensor data, the at least one handler comprising a driver configured to process the sensor data into parameterized data; and converting the received data into parameterized data.A method for generating normalized component risk scores based on measurements of one or more physiological parameters of a patient is provided, the method comprising: receiving sensor data; measuring the physiological parameters from the sensor data; determining normalized component risk scores based on the physiological parameters; and outputting the normalized component risk scores.

To provide a control device for a human-powered vehicle, a control system for a human-powered vehicle, and a head protection device for a human-powered vehicle that can contribute to user convenience.SOLUTION: A control device for a human-powered vehicle includes a control unit configured to control a human-powered vehicle component, based on a wearing state of a head protection device that is wearable by a rider of the human-powered vehicle.SELECTED DRAWING: Figure 3

This paper provides techniques for identifying the user of audio earphones. Specifically, the wearer's head filters an audio signal, and the head's audio filtering capabilities are used as a biometric feature. One earphone can be used as an audio transmitter and the other as an audio receiver. A broadband tone can be generated by the speaker in one earphone and received at the microphone of the other earphone. The received tone is filtered by the user's head, and the head characteristics of the received filtered tone can be used to identify the user. In particular, the material properties of the user's head modify the signal, so that the signal received at the microphone of the other earphone differs from the transmitted signal.The differences are unique to the user's head due to physiological variations between individuals and can be used to identify the user.

One or more sensors are configured to detect characteristics of moving objects and living subjects for human identification or verification. One or more processors, such as those in the sensor system or controlling the sensors, may be configured to process signals from the one or more sensors to identify a person. The processing may include estimating characteristics from the signals, such as respiratory rate, respiratory depth, degree of movement, and heart rate. The sensors may be radio frequency non-contact sensors with automatic detection control to change detection control parameters based on the identification of a living organism, thereby avoiding sensor interference.

A virtual reality system including an image viewing device and a wearable accessary is provided. The image viewing device detects a biometric characteristic to identify a user ID according to the biometric characteristic, outputs an ID signal associated with the identified user ID and shows video stream associated with the identified user ID. The wearable accessary detects an attached status and movement of the wearable accessary after receiving the ID signal, and sends a control signal to the image viewing device to change image content in the video stream according to the detected movement of the wearable accessary when the attached status indicates continuous wearing.

A Life Sign Detection system (LDS) monitors one or more environments using radar. The radar signals are processed to generate one or more point clouds, each associated with an organism in the environment(s). Life signs for the organisms(s) are inferred based on the radar point clouds. For example, the coordinates of the point cloud may be tracked to determine if the organism is moving about the environment, frequency domain components of the points of the point cloud may be used to determine involuntary movements, or combinations thereof. The LDS may determine a status of the organism(s) based on the inferred life signs. For example, if the organism is moving or has involuntary movement, the organism may be determined to be alive. In some embodiments, the life signs may be compared to normal ranges to determine a status of the organism(s).

The present disclosure provides a measurement system (10) capable of automatically identifying a user. One aspect of the present disclosure relates to a measurement system (10) comprising a load measurement device (50) and a measurement data management device (100), wherein: the load measurement device (100) measures, at at least three measurement positions, a load to a platform which a user steps on, and transmits, to the measurement data management device (100), load data that has been generated on the basis of the measured load; and the measurement data management device (100) generates, on the basis of the load data, first time-series data of barycentric coordinates of the load for a period during which the user is on the platform, and associates and stores the first time-series data with identification information of the user.