1978 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 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 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 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 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 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 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.

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.

A wireless charger device can support multiple different receiver devices having different wireless charging specifications. The wireless charger device can house two wireless power transmitter coils having different dimensions and arranged coaxially with each other. A first coil can have a size and shape compatible with a portable device such as a smart phone while the second coil can have a size and shape compatible with a smaller device such as a smart watch. The first coil and the second coil can deliver power through the same charging surface, or the first coil can deliver power through a first charging surface while the second coil can deliver power through a second charging surface opposite the first charging surface.

The invention discloses a sleep staging detection method and system based on a smart watch, and the method comprises the steps: S1, obtaining the heart rate variability, triaxial accelerometer data and body movement intensity index signals of a wearer through a sensor of the smart watch, and carrying out the multi-source signal fusion and time synchronization; s2, carrying out noise reduction processing on the synchronized multi-source signal, and constructing a feature vector; s3, calculating a time sequence self-correlation feature of the feature vector; s4, based on a bidirectional long and short time memory network structure, performing time sequence modeling on the input feature vector and the time sequence self-correlation feature to obtain fused bidirectional feature representation; and S5, performing multi-classification processing on the fused bidirectional feature representation based on a Softmax classifier to realize accurate classification of sleep stages. According to the method, the heart rate variability signal and the three-axis acceleration signal can be fused, and the sleep state of the human body can be accurately recognized and classified in combination with the bidirectional long-short-term memory network and time sequence self-correlation feature analysis.

The invention provides an outdoor monitoring method, system and application based on a smart watch, and the method comprises the steps: obtaining the information of an outdoor region through the smart watch, and determining a weather hidden danger item and a geographical hidden danger item; physiological monitoring items are determined, and whether the user is suitable for accessing the outdoor area currently is judged; if yes, corresponding countermeasures are configured in advance; after arriving at the area, continuously monitoring and summarizing to the smart watch; analyzing whether the physiological monitoring item is abnormal, whether the user encounters a weather hidden danger item and whether the user encounters a geographical hidden danger item; and if any one item is yes, taking corresponding countermeasures. Multi-dimensional information fusion is completed through the smart watch, the weather and geographic information are integrated to determine the potential weather hidden danger item and the geographic hidden danger item, the outdoor environment and the personal physical condition can be comprehensively monitored in real time, effective countermeasures are provided, and the outdoor safety of a user is better guaranteed.

The invention discloses an intelligent watch control method based on human-computer interaction and an intelligent watch, particularly relates to the technical field of watch control, and is used for solving the technical problem of offset of touch coordinates and display coordinates caused by physical deformation of a flexible screen in the prior art. A curvature parameter and a stretching parameter of a screen deformation area are detected in real time, a touch pressure propagation attenuation gradient is combined to analyze a touch actual action area, a pressure distribution symmetry characteristic is extracted to judge a force application direction, a dynamic offset trend of the deformation area is predicted, and a dynamic mapping relation matrix of touch coordinates and display coordinates is constructed. Target display coordinates are calibrated in real time, and a display layer is driven to respond to a touch instruction; based on the dynamic coupling relationship between the deformation parameter and the touch behavior, the touch coordinate mapping rule is adaptively adjusted through a closed-loop feedback mechanism, and the touch positioning precision and the interaction reliability of the flexible screen in a dynamic deformation scene are remarkably improved.

1. The name of the product of this design: Smart Watch (HD300). 2. Purpose of this design product: This design product is used for smart watches, displaying time, step counting, heart rate detection, sleep detection, exercise recording, and Bluetooth calls. 3. The design key point of this appearance design product lies in the shape. 4. The picture or photo that best illustrates the design points: Stereoscopic diagram 1.

According to the manufacturing method, through a Roll to Roll continuous production mode, traditional 19 procedures are reduced to 12 procedures, the production speed is increased to 5 m / min, the dielectric constant of a composite PI film doped with nanometer aluminum oxide is smaller than or equal to 3.2 and is reduced by 15% compared with that of a traditional PI film, a micro-arc oxidation insulating layer of copper / magnesium alloy foil is combined, the signal loss of the antenna in the frequency band of 28-300 GHz is reduced by 30%, and the antenna performance is improved. The sheet resistance of the graphene / silver nanowire composite conductive adhesive is smaller than or equal to 0.1 omega / sq, the bending life is larger than or equal to 100,000 times, the performance is improved by 10 times compared with that of traditional silver paste, the long-term dynamic use requirement of wearable equipment is met, no chemical etching liquid is used in the whole process, waste is subjected to magnetic separation and low-temperature pyrolysis, waste discharge is reduced by 90% compared with a traditional process, and the graphene / silver nanowire composite conductive adhesive is environmentally friendly. The carbon-based particles generated through pyrolysis meet the RoHS standard and can be directly used for 3D printing consumables, the antenna produced through the method can adapt to the leading-edge fields of 6G base stations, flexible intelligent watches, implantable medical sensors and the like, and the technology of the Internet of Things and high-frequency communication is promoted.

The invention is applicable to the field of cover plate glass processing, and provides a method for processing and preparing a cover plate glass with a superhard optical coating, which comprises the steps of glass substrate pretreatment, multi-layer superhard coating layer preparation, AF anti-fingerprint film preparation and post-treatment detection. According to the invention, the glass substrate is subjected to basic pretreatment (cleaning and plasma treatment), the Mohs hardness of the superhard coating layer can reach 5 when an evaporation process is adopted, and the Mohs hardness can reach 6 when a sputtering process is adopted; the initial water drop angle is larger than or equal to 115 degrees, the water drop angle is still larger than or equal to 102 degrees after 2500 times of friction tests, and the rubber friction tests can reach more than 6300 times; the total thickness of the film layer is controlled to be 30-100 nm, the film layer is adaptive to cover plate glass with different sizes of more than 1-20 inches (small-size adaptive evaporation / sputtering and large-size adaptive magnetron sputtering), the process is compatible with a continuous film coating line, and the film layer is suitable for processing of intelligent watch glass, intelligent mobile phones and small-size touch screen cover plate glass and has good practicability and mass production potential.

The utility model discloses a parking number plate capable of being used for controlling a vehicle, which comprises a number plate body provided with an exposed number mark; the communication module is installed on the number plate body, and the communication module is used for being in communication connection with an automobile machine system of the automobile and a mobile terminal so that the mobile terminal can control the automobile through the communication module. The communication module can be in communication connection with a vehicle machine system nearby, so that mobile terminals such as a mobile phone or an intelligent watch can achieve communication control over the vehicle from the outside of the vehicle through the communication module. Thus, when the parking number plate is used, only the communication module needs to be in communication pairing with the vehicle machine system and the mobile terminal, a vehicle machine line does not need to be refitted, hardware of the mobile terminal does not need to be refitted either, and vehicle control convenience is improved. The position of the parking number plate in the vehicle is relatively stable, so that the distance between the communication module and the vehicle machine system is relatively stable, the communication signal strength between the communication module and the vehicle machine system is ensured, and the vehicle control effect is improved.

The invention relates to the field of smokers' requisites, and more particularly to electronic cigarettes, and can be used as a hardware and software system for helping to combat nicotine dependence. The aim of the invention is to improve and to increase the efficiency, in the proposed smart system for combating nicotine dependence, of a system for providing feedback to a user, specifically in the form of an indicator, and sending notifications and warnings and motivating the user by means of the electronic cigarette itself or by a software application. This aim is achieved in that in the claimed smart system for combating nicotine dependence, feedback is provided to the user by indicator light and vibratory modules, as well as by a piezoelectric noise emitter, which are built directly into an electronic cigarette, as well as by notifications and push notifications sent by a software application to a smartphone, tablet, laptop, computer, smart watch or bracelet, or chatbot messages, and by the possibility of deducting money from the user's credit card.

The invention provides a Bluetooth low-power-consumption communication optimization method and system for a smart watch, and is applied to the field of communication data processing. The stability of wireless connection between the smart watch and other equipment can be remarkably improved, the problems of interruption and data loss caused by frequent switching of wireless signals are reduced through intelligent signal frequency band switching, data synchronization adjustment and adaptive optimization of application scenes, and in addition, the stability of wireless connection between the smart watch and other equipment is improved. In combination with real-time data flow analysis and signal strength evaluation, the smart watch can more efficiently manage wireless connection and data transmission, and more stable and reliable user experience is provided.

The invention relates to the technical field of compression resistance detection, in particular to an intelligent watch touch screen compression resistance detection device which comprises an inner supporting frame structure and a digital display control panel, and an outer supporting frame deflection driving assembly used for supporting the inner supporting frame structure and driving the inner supporting frame structure to deflect is arranged on the outer side of the inner supporting frame structure. The inner support frame structure is rotatably provided with a rotary detection touch pressure structure capable of rotatably replacing the touch pressure head, and the outer support frame deflection driving assembly, the inner support frame structure, the rotary detection touch pressure structure, the compression resistance detection table structure, the linear driving assembly, the ejection structure and the like cooperate with one another; integration of static pressure detection and impact detection can be realized, the contact pressure head can be rapidly replaced and the detection angle and position can be flexibly adjusted according to needs, and automation of detection is realized.

The invention discloses a medical critical risk prediction method based on physical sign data monitored by a smart watch, and relates to the technical field of critical monitoring, and the method comprises the steps: constructing a multi-dimensional physical sign fusion analysis model, collecting dynamic physiological parameters in real time through the smart watch, and updating a personalized health baseline; based on the personalized health baseline, detecting a pathological fluctuation mode in the dynamic physiological parameters through a time sequence convolutional network; inputting the identified abnormal waveform features into a risk prediction model optimized by transfer learning, and calculating a coupling risk index of the multi-organ system; establishing a three-level response early warning mechanism based on the coupling risk index of the multi-organ system; and generating an intervention scheme based on the coupling risk index of the multi-organ system. Compared with the prior art, the intelligent wearable device has the advantages that the multi-organ risk conduction model is combined, the severe risk is accurately predicted, a risk identification-early warning-disposal dynamic management system is formed, and the clinical practical value of the intelligent wearable device in a pre-hospital emergency scene is effectively improved.

1. Name of the Design Product: Wireless Charger for Watch. 2. Use of the Design Product: This design product is used for wirelessly charging smart watches. 3. Design Key Points of the Design Product: Lies in the shape. 4. Picture or Photograph that Best Illustrates the Design Key Points: Perspective view.