499results about "Person identification" patented technology

A computing system associated with a vehicle can access sensor data originating from one or more sensors disposed within a vehicle and can access device data originating from a user device. The sensor data and the device data can comprise physiological data of a user of the vehicle. The computing system can determine a physiological status of the user of the vehicle based on at least the sensor data or the device data and cause the vehicle to perform one or more operations based on at least the physiological status of the user.

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.

Methods, systems, and devices for leveraging automotive and wearable-based data are described. For example, a system may include a wearable device, a user device associated with the wearable device, and a vehicle. The system may determine when a user is within a proximity of the vehicle based on communications between the vehicle and the wearable device, between the vehicle and the user device, or both. The system may retrieve physiological data measurement from the user via the wearable device based on determining the user is positioned in a proximity of the vehicle, such that one or more operational parameters of the vehicle may be adjusted based on the physiological data. Additionally, or alternatively, the system may receive telemetry data from one more sensors of the vehicle and may provide feedback to the user based on the telemetry data satisfying one or more trigger conditions.

The invention belongs to the technical field of novel fluorescent materials, and particularly discloses application of a mechanical color change pyrenyl derivative in latent fingerprint fluorescence imaging and extraction. The mechanical color-changing pyrenyl derivative can be selectively combined with fingerprint residual substances under the excitation of ultraviolet light through the unique fluorescence response characteristic, so that potential fingerprints form high-contrast fluorescence imaging on smooth or rough surfaces (such as glass, metal, plastic and the like), and the mechanical color-changing pyrenyl derivative is compatible with conventional camera equipment to realize rapid acquisition. The compound design is based on a modular synthesis route, and has the advantages of simple and convenient synthesis process, controllable raw material cost, high reaction yield and the like. The product has excellent thermal stability and chemical stability, can be stored at normal temperature and does not need special treatment, and the practical application threshold is greatly reduced. Compared with a traditional fingerprint developing technology, the method has remarkable breakthroughs in the aspects of sensitivity, substrate adaptability and operation convenience, and an efficient, economical and environment-friendly novel solution is provided for the fields of criminal investigation, forensic identification and the like.

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.

Provided is a blood flow authentication ring that can achieve focus in a captured image regardless of finger size, can prevent reduction of contrast due to external light, or simplifies personal registration. A blood flow authentication ring in an embodiment of the present invention is a blood flow authentication ring having a ring-shaped cover member to be worn on a finger and configured to perform authentication with finger blood flow. The cover member at least includes an irradiation device to irradiate the finger with light and an imaging device to capture an image of light transmitted through the finger. An adjusting member is provided between an inner circumference of the cover member and the finger. The adjusting member has a function of at least one of a size compensation member and a low reflection member.

The invention relates to the technical field of intelligent closestools, in particular to an intelligent closestool with human health monitoring analysis and early warning functions, which comprises an identity recognition module, a multi-source sensing module, an internet of things module, an intelligent analysis module and a user terminal module, the intelligent analysis module performs deep integration and analysis on the multi-modal time series data in the cloud database based on a large language model, generates a personalized health portrait, identifies a potential pathological phenomenon, triggers disease early warning, and constructs a health assessment model through a model fine tuning method in combination with a medical knowledge base; and outputting a personalized health analysis report and a health intervention suggestion. The multi-source sensing module is integrated, multi-dimensional health data can be collected in real time, the problems that in the prior art, the data collection dimension is single and means are limited are solved, the complex health state of the human body is comprehensively reflected, the situation that an existing analysis method is single is broken through, and the potential value of data is fully mined; and a complex scene with individual difference and coexistence of multiple disease species can be better handled.

Methods, apparatus, and systems for performing an ophthalmic diagnostic test are disclosed. In one aspect, a head-wearable device for administering an ophthalmic test to a subject can comprise a head-wearable frame for mounting the device onto the subject's head, and a light seal configured for coupling to the frame so as to isolate at least one eye of the subject from ambient light when the device is worn by the subject.

An unverified activity metric is obtained for an activity performed by a user (602). The activity metric may be the distance travelled by the user, the number of repeated actions performed by the user, or an activity intensity classification. Physiological data is obtained for the user while performing the activity (604). The physiological data may be cardiac activity data, capacitance data, temperature data, or bioimpedance. The activity metric is verified by applying a verification function that uses the physiological data to verify that the user performed the activity (606). The verification function may verify that the physiological sensor is in proximity with the user from the physiological data.

A method and a system assisting in monitoring the health condition of persons. A security body scanner is configured for a scan of a body of a person for security reasons with the further feature of comprising a communication component that is configured for providing health data of the person on the basis of the body scan.

A device may obtain a heartbeat profile of a current subject, the heartbeat profile being based on photoplethysmography (PPG) data associated with a set of wavelength channels. The device may determine a global model including a plurality of classes, each associated with a subject identifier and a blood pressure level (BPL) identifier. The device may identify a class as a closest class to the current subject based on the heartbeat profile of the current subject. The device may identify a local subject associated with the closest class based on the subject identifier associated with the closest class. The device may generate a BPL estimation model for the current subject based on heartbeat profile data for the local subject. The device may determine a BPL estimation for the current subject based on the heartbeat profile of the current subject and using the BPL estimation model.

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.

To provide methods, an apparatus and systems for wireless detection, sensing and learning.SOLUTION: A described method comprises: transmitting a wireless signal through a wireless multipath channel of a venue; receiving the wireless signal through the wireless multipath channel, where the received wireless signal differs from the transmitted wireless signal due to the wireless multipath channel that is impacted by a motion of an object in the venue; obtaining a time series of channel information (TSCI) of the wireless multipath channel; computing an autocorrelation function (ACF) based on the TSCI; computing at least one ACF feature of the ACF or a function of the ACF; computing an ACF statistics, a motion statistics, a speed statistics, and a gait statistics based on the at least one ACF feature; and in response to a determination that the motion is detected, classifying the object associated with the detected motion as a human or a non-human, based on: the ACF statistics, the motion statistics, the speed statistics, and the gait statistics.SELECTED DRAWING: Figure 1

A wearable heart sound detection device includes an acoustic sensing device for collecting heart sound signals of user's body. A wireless transmission device is connected to transmit and receive data, an e-SIM embedded in the wearable heart sound detection device, wherein said acoustic sensing device includes a capacitive sound sensor, a piezoelectric sound sensor or the combination thereof. A circuit assembly electrically is connected with the capacitive sound sensor or said piezoelectric sound sensor, wherein the capacitive sound sensor and the piezoelectric sound sensor are integrated on a flexible substrate. The e-SIM is compatible with a wireless transmission protocol selected from a group of WiFi, 4G, 5G, 6G or any combination thereof.

A biological information processing device includes a signal reception unit configured to receive a signal related to biological information reflected from at least one person to be measured, a candidate region identification unit configured to calculate an arrival direction of the signal and / or a distance to the at least one person to be measured from the signal received and identify a candidate region of the at least one person to be measured using the arrival direction and / or the distance calculated, an information generation unit configured to generate biological information corresponding to the candidate region of the at least one person to be measured from the signal received, and a biological information association unit configured to associate the at least one person to be measured with the biological information generated, on the basis of a feature of the biological information generated.

The invention discloses a deep breath identity authentication method based on sonar perception, and the method comprises the following steps: a user holds intelligent equipment or places the intelligent equipment on a desktop to carry out one-time deep breath, and a built-in acoustic module of the intelligent equipment transmits a sonar signal in a specific modulation mode and frequency; and echo signals and breath sound signals of the chest and abdomen combined movement of the user are received. A multi-stream identity authentication model is trained by extracting a breathing sound signal, a thoracic-abdominal joint movement signal and a correlation sequence between the breathing sound signal and the thoracic-abdominal joint movement signal, so that user identity authentication is realized. In order to prevent advanced replay attacks, an activity detection mechanism is designed according to the characteristic that chest and abdomen combined movement signals are interfered by environment and equipment during secondary playing and in combination with vibration data collected by a built-in acceleration sensor of intelligent equipment. The method is simple and convenient to operate and low in cost, can be used as an effective supplement of a mainstream authentication method, and improves the safety and reliability of identity authentication.

Systems, methods, and non-transitory computer-readable media including instructions for detecting and utilizing facial skin micromovements are disclosed. In some non-limiting embodiments, the detection of the facial skin micromovements occurs using a speech detection system that may include a wearable housing, a light source (either a coherent light source or a non-coherent light source), a light detector, and at least one processor. One or more processors may be configured to analyze light reflections received from a facial region to determine the facial skin micromovements, and extract meaning from the determined facial skin micromovements. Examples of meaning that may be extracted from the determined facial skin micromovements may include words spoken by the individual (either silently spoken or vocally spoken), an identification of the individual, an emotional state of the individual, a heart rate of the individual, a respiration rate of the individual, or any other biometric, emotion, or speech-related indicator.

Provided is a cross-period brain fingerprint identification method with paradigm adaptive decoupling and a system thereof. The method includes: extracting a feature representation from original electroencephalogram data by a feature extractor; effectively separating identity-related features and paradigm task-related features from highly coupled electroencephalogram information; and further learning domain invariant features with identity identification ability through domain adversarial training. According to the method, three decouplers are introduced to perform feature decoupling on features extracted by a feature extraction module. At the same time, three classifiers are introduced to pass through a domain label, an identity label and a paradigm task label, and the decouplers are guided to decouple paradigm task features and identity features effectively through adversarial training.

Introduced are methods and systems for monitoring a person's sleeping patterns, and detecting episodes of sleeping disorders such as snoring and sleep apnea. In one embodiment, a sensor strip attached to the mattress monitors the user's breathing, and detects signature frequencies corresponding to snoring and sleep apnea. Once a sleeping disorder is detected, a notification can be sent to a device associated with the user, or the user's bed can be automatically adjusted to alleviate the sleeping disorder.

The biometric information acquisition device includes an ultra-wideband millimeter-wave radar system including at least one transmitting antenna and at least one receiving antenna, which transmits ultra-wideband millimeter waves to a subject and receives the ultra-wideband millimeter waves reflected from the subject, and a controller including circuitry that converts the multiple received ultra-wideband millimeter waves into radar signals reflected from the subject, stores the radar signals, calculates a differential signal between the radar signals at each position, calculates the strength of the differential signal at each position, and estimates the subject's breathing interval, heartbeat interval, and position.

Introduced are a bed device system and methods for: gathering human biological signals, such as heart rate, breathing rate, or temperature; analyzing the gathered human biological signals; and controlling the bed device system, e.g., a temperature of the bed device, based on the analysis.

Provided is a blood flow authentication ring that can achieve focus in a captured image regardless of finger size, can prevent reduction of contrast due to external light, or simplifies personal registration. A blood flow authentication ring in an embodiment of the present invention is a blood flow authentication ring having a ring-shaped cover member to be worn on a finger and configured to perform authentication with finger blood flow. The cover member at least includes an irradiation device to irradiate the finger with light and an imaging device to capture an image of light transmitted through the finger. An adjusting member is provided between an inner circumference of the cover member and the finger. The adjusting member has a function of at least one of a size compensation member and a low reflection member.

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.

A system may include a disposable flow sensor and a base for the disposable flow sensor. A method may include scanning, with an optical scanner of the base for the disposable flow sensor, a flow sensor label attached to the disposable flow sensor to decode a flow sensor identifier associated with the flow sensor, scanning, with the optical scanner of the base for the disposable flow sensor, a patient label attached to a patient to decode a patient identifier associated with the patient, and connecting the disposable flow sensor to the base.

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.