2655 results about "Smartwatch" patented technology

The invention provides a sensor error calibration method and system for a smart watch, and is applied to the field of data processing. The intelligent watch is used for monitoring the sensor in real time, collecting trend sensing data and detecting whether the data shows the deviation trend or not based on the preset standard, so that the accuracy of sensor anomaly detection is improved, when data deviation is detected, abnormal values are recognized through standard deviation calculation and classified, and the accuracy of sensor anomaly detection is improved. Comprising short-term sudden anomalies, long-term drift and outliers, so as to accurately analyze error sources, then judge whether abnormal values can be repaired or not, if yes, adopt linear, nonlinear or periodic drift compensation according to abnormal types, and dynamically adjust sensing error coefficients in combination with environmental factors to realize self-adaptive calibration, so that sensor drift can be effectively detected, and the detection accuracy is improved. Data error accumulation caused by long-term use is prevented, it is ensured that the smart watch can maintain high-precision measurement in various environments, and user experience and equipment reliability are improved.

A non-invasive physiological sensor system implemented as a smart watch or other wearable device includes an emitter for emitting light and a detector for collecting light after the light interacts with a tissue of a wearer. The system can measure light intensity at one or more radial distances to estimate attenuation parameter values that can be used to correct physiological parameter bias across subjects. In addition or alternatively, the system can determine whether a detector is positioned sufficiently proximate to an obstructing tissue (for example, an artery or vein) so as to cause inaccurate measurements by the detector.

The invention relates to the field of wearable equipment, and discloses a data processing method for assisting old people based on a smart watch, and the method comprises the steps: building an old people individual physiological baseline library at a smart watch end, and carrying out the dynamic comparison of the dislocation difference between a real-time collection signal and the baseline library; performing behavior interference separation on the individual compensation sequence, and generating a health time sequence feature block after interference stripping based on a multi-scene embedding model; an event entropy triggering mechanism is introduced into the health time sequence feature block, and when the drift rate exceeds an individual self-adaptive threshold value, a candidate health abnormal event is automatically marked; calibrating a signal source corresponding to the candidate health abnormal event as a local feedback loop node, and performing coupling correction on a signal in a local feedback loop; and based on the health monitoring priority feedback map, in combination with the global circadian rhythm change trend and the accumulated weight of the abnormal event, generating a multi-level interaction prompt instruction. The method has the advantage of improving the accuracy of the health monitoring data of the old people.

The invention provides a driver anti-fatigue monitoring alarm method, medium and system, and belongs to the technical field of image data processing. A vehicle-mounted camera device is used for collecting a facial image sequence, and a Dlib key point screening function is used for feature point positioning; the feature extraction accuracy is improved by adopting an adaptive illumination compensation algorithm and a minimum spanning tree algorithm, eye features such as an eye closing proportion value and a blinking frequency and head motion features such as a head posture angle value and a nodding frequency are calculated, and physiological data such as blood pressure, heart rate and body temperature are collected by utilizing a smart watch. And inputting the multi-dimensional features into a pre-trained FatgueNet model through an adaptive feature selection gating mechanism, outputting a fatigue state evaluation index, and dividing alarm levels. When the severe fatigue state is recognized and the driver enters the sleepy state, the system sends a pulse stimulation instruction to the smart watch to wake up the driver, and the adaptability and accuracy of the system are improved.

The invention provides a power construction monitoring method and system. The power construction monitoring method is used for performing remote monitoring on a construction plan to be performed by a constructor, and comprises the following steps: S1, the constructor obtains a current construction site based on a smart watch, and sends the construction site to a construction monitoring server; s2, in response to the received construction site, the construction monitoring server retrieves a construction plan corresponding to the construction site from a preset construction plan library; and S3, based on the retrieval result, the construction monitoring server sends a construction permission message to the smart watch. Through on-site data acquisition and analysis and comparison of a remote server, automatic compliance judgment on construction operation is realized, and the risk of manual wrong operation is eliminated; and the state of the constructor is remotely monitored in the construction process, so that whether the state of the constructor is abnormal or not can be known in time.

The invention relates to the technical field of data transmission optimization, in particular to a low-power-consumption data transmission optimization system and method for a smart watch. According to the method, the data transmission strategy is dynamically adjusted by combining the user behavior state, the data content characteristics and the system operation parameters. The system firstly senses the wearing state, interaction frequency and equipment resource information of a user, evaluates the priority of to-be-transmitted data, predicts the short-time attention probability of the user based on the behavior trend, and calculates the cognitive perception index of the data. And further comprehensively considering energy consumption, cognitive risk and resource occupation through a scheduling cost function, selecting an optimal transmission mode, and executing instant uploading, delayed caching, compression processing or communication protocol switching operation at an equipment end. According to the scheme, the data redundancy transmission frequency can be effectively reduced, the timeliness of key data is ensured, the overall energy efficiency of the system is remarkably improved, and the method is suitable for the smart watches in various dynamic use scenes.

The invention discloses a danger early warning method and system for a child smart watch. The method comprises the steps that S1, the smart watch collects surrounding environment data in real time; s2, based on the environmental data, analyzing and identifying potential danger types and levels by using a pre-trained danger prediction model; s3, when a specific danger is identified, triggering corresponding early warning information and pushing the early warning information to associated equipment; s4, adjusting the parameters of the danger prediction model according to the received feedback so as to improve the recognition accuracy; according to the danger early warning method and system for the child smart watch, the problems that the accuracy of an early warning system in the prior art is influenced, sound and image analysis models adopted by most products are relatively fixed, the early warning system is difficult to quickly adapt to continuously changing environments, and the risk of malicious cracking or disguise attack is faced, so that the early warning system is possibly invalid, and the early warning effect is poor are solved. And the generalization ability of an algorithm model in a variable environment cannot be improved while the stability and effectiveness of an early warning system are guaranteed.

The invention relates to the field of heart rate monitoring, in particular to an exercise heart rate monitoring method and device based on a smart watch. The method comprises the following steps: acquiring geographical location information of a user based on a smart watch, and performing user motion scene recognition so as to generate a motion scene type; original heart rate detection parameters are collected, time sequence heart rate feature analysis is carried out, and a heart rate feature set is constructed; performing motion mode depth identification on the motion scene type and the heart rate feature set to obtain a user motion mode; global heart rate situation perception is carried out on the heart rate feature set, and a global heart rate situation map is constructed; and performing comprehensive risk assessment and self-adaptive early warning decision on the global heart rate situation map according to the motion mode of the user. The heart rate state of the user is adaptively analyzed, and the exercise safety assessment efficiency and accuracy of the user are improved.

The subject of the invention is the recognition of a user's emotional state and supporting their mood, particularly when experiencing loneliness. A specific goal is to help the user obtain sufficient interaction with relatives and friends when their mood is slipping into a concerning area. The objective is also that the connection is automatically opened to exactly the right person who can best help the user return to a safe and healthy mood and mental state. As an alternative to making contact, for example, when a suitable contact person is not reachable, providing the user with music, games, podcasts, videos, or other mood interventions appropriate to the emotional state is also targeted. These objectives are achieved through a system built into a smartwatch (101) and smartphone (121) that measures, recognizes, and monitors the user's vitality (107) and emotional state (127) throughout the day, and opens a communication link (140) or a mood intervention suitable for the situation when set conditions are met.

The invention provides wearable cardiovascular health monitoring equipment based on artificial intelligence, an environment adaptability analysis system of the wearable cardiovascular health monitoring equipment and a use method of the wearable cardiovascular health monitoring equipment, and aims to provide real-time and comprehensive cardiovascular health monitoring and risk assessment. And the health condition of the user and the influence of the external environment are comprehensively monitored. Through a built-in wireless communication module, the equipment can transmit collected data to mobile equipment or a cloud server of a user in real time. In addition, the system also comprises an AI analysis module which performs complex data analysis by using indexes such as heart rate variability (HRV) and the like so as to evaluate the cardiovascular health state of the user and predict the potential risk. The device also provides a personalized suggestion generator which provides lifestyle adjustment suggestions to the user according to the analysis result. A user can intuitively obtain own health data, risk assessment and life improvement suggestions through interactive interfaces such as a mobile application program (APP) and a smart watch / bracelet.

The invention relates to an accurate positioning method, device and equipment of an inertial measurement sensor for intelligent terminal equipment and a storage medium, and the method comprises the following steps: carrying out attitude calculation on original inertial data to obtain real-time attitude information of an intelligent watch; performing gait detection and step length estimation on the smart watch based on the real-time attitude information to obtain gait feature parameters and step length information; acquiring preset initial positioning information, and performing dead reckoning positioning on the smart watch based on the initial positioning information, the step length information and the real-time attitude information to obtain a track path of the smart watch; and matching the trajectory path with preset map data to obtain position information of the smart watch in an actual environment, thereby solving the technical problems that a traditional IMU-based positioning method usually depends on an external signal source to correct errors and is difficult to maintain high-precision positioning in an environment without or only with weak external signals.

The invention discloses a smart watch health monitoring management and early warning method based on a multi-modal sensor, and the method comprises the following steps: S1, collecting and preprocessing multi-modal physiological data, and generating a time sequence health data set; s2, constructing a health state memory network, and outputting individualized health state characterization; s3, performing cross attention fusion on the layered time sequence features to form a global health feature vector; s4, performing health anomaly detection and scoring by adopting a firefly algorithm; s5, optimizing a firefly algorithm search process by using a genetic algorithm; s6, dynamically adjusting an early warning threshold value, and generating personalized health early warning information; and S7, early warning is triggered during anomaly detection, and a health alarm is sent through wireless communication. Through multi-modal data acquisition, deep health state modeling and an intelligent optimization algorithm, real-time accurate detection and personalized early warning of health abnormity by the smart watch are realized, so that an efficient and reliable health management solution is provided for a user.

The invention relates to the technical field of health data monitoring, in particular to a health monitoring method based on data analysis and a smart watch, and the method comprises the steps: obtaining the physiological parameters of heart rate, blood pressure, blood oxygen and respiratory rate of a user, analyzing the interaction among the physiological parameters, judging whether the physiological parameters have the imbalance of abnormal increase or decrease or not, and sending the judgment result to the smart watch; and obtaining an individual health state distribution result. According to the invention, based on dynamic analysis of physiological parameters, in combination with multi-dimensional data measurement and calculation, the change characteristics of the health state are accurately described, and errors caused by single data point judgment are avoided. By measuring and calculating the interaction among different physiological parameters, the health state can be evaluated more comprehensively, and it is ensured that judgment of the individual health state is not affected by fluctuation of a single physiological index. The distance between the health state and the steady state interval is calculated by means of the multi-dimensional coordinate space, so that the evaluation of the health state change is more quantitative, and the identification capability of abnormal fluctuation is improved.

The invention provides an intelligent medicine management and reminding system based on multi-dimensional environment perception, and relates to the technical field of intelligent wearable equipment and medical health management. According to the system, a medicine prescription is set in the smart watch, user behaviors and environment are monitored in real time, a three-point positioning technology is applied to manage medicine positions, and dynamic graded reminding is implemented according to medicine importance. The system adaptively adjusts the reminding mode, improves the medication compliance of the user, reduces the risk of missing taking, optimizes the energy management, and prolongs the cruising ability.

The invention relates to an intelligent watch, in particular to an intelligent watch convenient to wear and a tightness detection system thereof, and belongs to the technical field of intelligent watch application. The intelligent watch convenient to wear comprises a protective shell, an intelligent dial plate is embedded in the protective shell, and a supporting adjusting structure is installed in the protective shell; a tightness detecting structure is designed on the lower side of the supporting adjusting structure, combined adjusting structures are arranged at the two ends of the protective shell, watchband connecting pieces are clamped in the combined adjusting structures, the outer sides of the watchband connecting pieces are sleeved with self-adaptive watchbands, and distance sensors are installed on the inner sides of the self-adaptive watchbands. The fitting effect between the dial and the wrist is adjusted, the functional effect of the watch is increased, the tightness detection structure is matched to sensitively monitor the physical state of a user and the wearing effect of the watch, the use effect of the watch is improved, and the self-adaptive watchband is matched with the distance sensor to enable the watch to adjust the wearing effect in a self-adaptive manner, so that the user experience is improved. And the use comfort of the watch is improved.

A wrist-worn device such as a smart watch or band has a plurality of displays with a first non-coplanar configuration and a second coplanar configuration. When a larger display area is not needed, then the device is changed into the more-compact first configuration. When a larger display area is needed, then the device is changed into the larger-size second configuration.

The invention relates to a blood pressure compensation measurement method and device for a motion scene and a smart watch, and the method comprises the steps: generating a lactic acid accumulation mark through fusing a motion acceleration signal and a heart rate signal, extracting a specific frequency band component of a pressure shock wave signal based on the mark, and generating a time domain envelope line; quantifying envelope line main peak width change and frequency domain energy distribution abnormity to generate tension abnormity, and mapping the tension abnormity into a blood vessel volume dynamic change curve; constructing a biomechanical compensation curve in combination with a static blood vessel volume reference, and reconstructing an envelope line for eliminating blood vessel tension interference through frequency domain convolution; and finally, positioning a blood pressure feature point based on the reconstructed envelope differential feature and outputting a compensated blood pressure value. According to the method, a lactic acid metabolism and vascular biomechanical characteristic compensation model is established for the first time, the problem of systematic offset of feature points caused by abnormal vascular tension after movement is solved, and the blood pressure measurement error is remarkably reduced.

The invention relates to the technical field of intelligent detection, in particular to a Parkinson's disease intelligent detection method and system based on data recognition, and the method comprises the following steps: collecting the physiological and motion data of a user through an intelligent watch, a wrist strap and a mobile gait detector, recording the gait speed, the stride length and the hand tremor frequency, analyzing the smoothness of the hand motion, and determining the smoothness of the user. And recording the timestamp of each data point, and organizing the data according to a time sequence to obtain a time sequence data set. According to the invention, the physiological and motion data collected by the intelligent device is subjected to time serialization processing, each small change of Parkinson's disease is tracked in detail, the time slice data is analyzed by using the neural network, normal and abnormal modes are effectively distinguished, and key behavior characteristics are accurately extracted. The Parkinson's disease early-stage judgment capability is enhanced, a doctor is helped to adjust a treatment scheme in time through continuous monitoring, the life quality of a patient is remarkably improved, and continuous medical decision support is provided.

This invention relates to a glove, mitten, or sleeve that securely holds an Active Technology Device (ATD), such as a smartwatch or fitness tracker, during sports activities. The ATD is positioned in the webbing between the thumb and forefinger at an optimal viewing angle, ensuring continuous visibility and minimal interference with hand movements. The device is embedded into the fabric to maintain real-time sensor contact with the skin, enabling accurate physiological monitoring. The system features a docking connector that allows easy insertion, secure attachment, and electrical connectivity, including wireless charging and data transfer. Designed to be compatible with popular fitness devices, the glove, mitten, or sleeve also incorporates waterproofing and durability features, making it suitable for various environmental conditions. This invention enhances performance, safety, and convenience by providing seamless monitoring and feedback during dynamic physical activities.

The invention relates to the technical field of intelligent wearable equipment, and provides a personal health service system based on an intelligent watch digital human, the system comprises an intelligent data analysis platform module comprising an intelligent watch end and a cloud end, the intelligent watch end comprises a digital human interaction module and a multi-source data acquisition module, the digital human interaction module constructs a multi-mode interaction mechanism based on a virtual digital human, obtains user health related information, receives a user instruction and outputs a health analysis result; the multi-source data acquisition module acquires physiological feature data and behavior activity data of a user in real time, and performs dynamic alignment and consistency verification of multi-dimensional data through a space-time association algorithm; and the intelligent data analysis platform module adopts a hierarchical collaborative architecture of edge computing and cloud deep mining to intelligently analyze and process the collected data and generate a personalized health assessment report and a dynamic intervention suggestion, so that the digital human interaction experience can be optimized, and the personalization, intelligence and naturalization of health management can be realized.

A watch system may include a watchband including a flexible member configured to be mounted onto a wrist of a user, and a puck including watch functionality. The watchband may have an end that has a concave curved shape. The puck may have a connection interface that has a convex curved shape. The connection interface may be to be removably coupled to the end of the watchband. The watchband and the puck may have corresponding locking features that are configured to rotationally and translationally fix the puck to the watchband. The corresponding locking features may be configured to be engaged when the watchband is translated relative to the puck and rotated relative to the puck by a predetermined rotation angle.

The invention provides an interaction method and a smart watch, and the method comprises the steps: displaying a dial interface which comprises a first object and a first control; in response to a first operation of the user for the first control, controlling the first object to move forward; detecting an operation of rotating the crown by a user, and determining a rotation direction; when the rotation direction is a first direction, in response to the operation of rotating the crown by the user, controlling the first object to move forward and shift the first object to the left at the same time; and when the rotation direction is a second direction, responding to the operation of rotating the crown by the user, controlling the first object to move forwards and shifting the first object rightwards at the same time. According to the intelligent watch, the object capable of interacting with the user can be displayed on the dial interface, when the user rotates the crown, the intelligent watch can control the object in the dial interface to interact with the user according to the crown rotating operation of the user, interaction between the intelligent watch and the user can be enhanced, interestingness is enhanced, and user experience is improved. And the user experience can be improved.

A method for an electronic device includes detecting, by one or more processors, a first user operating a first application on the electronic device presenting content on a companion electronic device operating as a primary display for the electronic device while the electronic device is electronically in communication with a smartwatch. The method then redirects one or more first application controls to a user interface of the smartwatch when a second user is physically manipulating the electronic device and operating a second application presenting content on a local display of the electronic device while both the first application and the second application are operating on the electronic device.

A biometric wearable device (e.g. finger ring or smart watch) has optical sensors to measure body oxygenation level, hydration level, glucose level, heart rate, heart rate variability, and / or blood pressure. Light from light emitters is transmitted through body tissue and changes in the light are analyzed. The angles and / or vectors along which the light is transmitted through body tissue can be automatically changed by the device in order to scan different tissue regions and / or different tissue depths.

A watchband for a smart watch is provided. The watchband for a smart watch includes: a first band having at least one positioning hole; and a second band including a cover member, a flexible battery, and a position-fixing fastening member, wherein an exterior material of the flexible battery can include a first portion for packing the electrode assembly together with the electrolyte, and a second portion extended from the first portion by a predetermined and to which the position-fixing fastening member is coupled.

The invention discloses an exercise health monitoring method and system of a smart watch, and relates to the technical field of smart watches, and the method comprises the steps: carrying out the time synchronization of continuous data, and enabling all monitoring indexes to be aligned on the same time axis; carrying out real-time analysis and anomaly detection on the heart rate and blood oxygen saturation data by utilizing a machine learning algorithm; the heart rate variability index of the user is evaluated, the blood oxygen saturation data and the body surface temperature data are integrated, and a pressure evaluation model is constructed; in combination with height and weight information input by the user, constructing a deep learning model to identify a motion mode of the user; the heart rate and blood oxygen health indexes of the user are tracked and analyzed by utilizing a time sequence analysis technology, the future health trend is predicted, and potential health problems are explored. By arranging the data prediction module, the heart rate, blood oxygen and other health indexes of the user can be tracked and analyzed, the future health trend is predicted, and potential health problems are explored.

This application provides a wearable device management method, a related apparatus, and a communication system. The method may be applied to a wearable device that integrates a smartwatch and earphones. The smartwatch may be used as a control and management device of the earphones. A user may perform an operation on the smartwatch, to manage the smartwatch and the earphones. The user may further perform an operation on an electronic device connected to the smartwatch, to manage the smartwatch and the earphones. The foregoing method can improve use experience of the user using the wearable device, so that life convenience of the user can be improved through the wearable device.