659results 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.

Systems, methods, and non-transitory computer readable media including instructions for interpreting facial skin micromovements are disclosed. An example head mountable system includes a housing configured to be worn on a head of a wearer. The head mountable system also includes at least one detector integrated with the housing and configured to receive light reflections from a facial region of the head and to output associated reflection signals. The head mountable system also includes at least one microphone associated with the housing and configured to capture sounds produced by the wearer and to output associated audio signals. The head mountable system also includes and at least one processor in the housing, configured to use both the reflection signals and the audio signals to generate output that corresponds with words articulated by the wearer.

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.

A cellular communication network based non-fungible token creation system with integrated creator biometric authentication comprises an electronic device of the user; a passive biometric user identification technology coupled to the electronic device and configured for identifying the individual with the passive biometric user identification technology by passively obtaining biometric characteristics that are unique to each human; and a one click non-fungible token forming component which is configured for identifying digital data files on an electronic device with a single user click; wherein the digital data files include the biometric characteristics of the creator, and at least one of audio, video, data and image files, and wherein the system is configured for creating authentication data comprising the digital data files and for recording on a blockchain the authentication data forming the non-fungible token; and systems for managing and transferring ownership of the non-fungible token.

The invention discloses an electrocardiosignal open-set identity recognition method based on a hybrid network and a cross attention mechanism, and belongs to the technical field of identity recognition. The electrocardiosignal open-set identity recognition method comprises the steps that electrocardiosignals are preprocessed to obtain standardized input; constructing a hybrid network model to extract a long-time dependency relationship between multi-scale local space information and a time sequence; fusing different types of information by using a cross attention mechanism; and establishing an Openmax classification layer to realize identity tag identification in an open set environment. By means of the method, the known individual identity can be effectively recognized, unfamiliar persons are rejected, and the accuracy of electrocardiosignal identity recognition and the applicability in the practical application scene are improved.

Method and system for biometric identification. A cardiac signal, such as a ballistocardiogram signal, obtained from a reference subject is segmented into heartbeat segments over selected time duration. Cardiac signal may be obtained using remote non-invasive millimeter-wave radar detector. Linear mapping is applied to each heartbeat segment to produce a respective heartbeat frequency encoding, which is assigned an identification label relating to reference subject. Machine learning process is applied to a collection of heartbeat frequency encodings during a modelling stage to generate a model for subject classification. Model is applied to input heartbeat frequency encoding during an identification stage, to classify input heartbeat frequency encoding as belonging to a reference subject if a matching classification is obtained or to determine that the input heartbeat frequency encoding belongs to a non-reference subject if no matching classification is obtained. Subject identification may be utilized for healthcare monitoring applications.

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.

Head mountable systems, methods, and non-transitory computer readable media including instructions for identifying individuals using facial skin micromovements are disclosed. An example head mountable system may include a wearable housing, a coherent light source, a detector, and at least one processor. The at least one processor may analyze reflection signals from the detector to determine specific facial skin micromovements of an individual wearing the head mountable system. Thereafter, the at least one processor may access memory correlating a plurality of facial skin micromovements with the individual, and search for a match between the determined specific facial skin micromovements and at least one of the plurality of facial skin micromovements in the memory. If a match is identified, the processor may initiate a first action; and if a match is not identified, the at least one processor may initiate a second action different from the first action.

A biological pattern information processing device includes: a biological pattern information acquisition unit that acquires biological pattern information indicating a biological pattern; and a singular region detection unit that detects a singular region including damage, from the biological pattern indicated by the acquired biological pattern information.

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.

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.

A multifunctional earpiece comprising an ear-mountable housing, a speaker integrated with the ear-mountable housing for presenting sound, a light source integrated with the ear-mountable housing for projecting light toward skin of the wearer's face, a light detector integrated with the ear-mountable housing and configured to receive reflections from the skin corresponding to facial skin micromovements indicative of prevocalized words of the wearer, and wherein the multifunctional earpiece is configured to simultaneously present the sound through the speaker, project the light toward the skin, and detect the received reflections indicative of the prevocalized words.

Embodiments can take brain activity measurement and decode into continuous language. Embodiment can use non-invasive brain recordings, such as functional magnetic resonance imaging (fMRI) and functional near-infrared spectroscopy (fNIRS) to detect changes in blood oxygen level that are coupled to neural activity. These brain recordings can be used by a language reconstruction model that involves a neural language model to predict a next word in a sequence and an encoding model to decode the recordings into continuous language, or sequences of words.

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.

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.

In one aspect, an apparatus includes a processor assembly and storage accessible to the processor assembly. The storage includes instructions executable by the processor assembly to receive input from at least one sensor on a first device and to determine, based on the input, that a user is asleep. The instructions are also executable to, based on the determination, disable at least a first type of authentication usable to unlock a second device.

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.

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.

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.

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.

An artificial intelligence-based electric wheelchair control method includes performing a booting procedure according to power application to pair with a user device; obtaining user information from a server through the paired user device; determining an operation control mode of an electric wheelchair based on the user information; recognizing a predefined start command through a sensor corresponding to the determined operation control mode when an always-on display (AOD) screen is in an inactive status; activating the inactivated screen according to the start command, outputting a user interface screen for controlling the electric wheelchair on a display device and waiting for a user input signal; performing machine learning on a user input signal input through the sensor to perform user identification and authentication; and identifying a control command corresponding to the user input signal to control the operation of the electric wheelchair, based on the fact that the authentication is successful.

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.