1487 results about "Smartwatch" patented technology

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 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 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 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.

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 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 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.

The invention discloses a user health data monitoring method and system based on a smart watch, and relates to the technical field of smart wearable health monitoring, and the method comprises the steps: carrying out the optimization through Hilbert transform and cross-spectral density, carrying out the iteration of a sparse coefficient through employing MCMC, carrying out the dimension reduction construction of a track matrix through employing Ortho-SSA, carrying out the screening through ReliefF and VC-SSA, and initializing a GBTN model. NAS is used for adjustment, integration is carried out through federated average and incremental learning, and the health state is monitored. According to the method, through the VIB model, cross-spectral density optimization, GMM noise modeling and MCMC sparse iteration, the dynamic coupling relation between modes is accurately captured, the robustness of data representation is improved, and through fusion of causal reasoning and federated learning, the accuracy of the health monitoring state is improved.

The invention provides a one-key alarm method and system for a smart watch, and relates to the technical field of smart wearable, and the method comprises the steps: responding to the current transaction operation of the smart watch, and synchronously collecting payment behavior data, physiological signals and environment recording; in combination with the payment behavior data and the historical transaction data, generating a dynamic payment baseline through a time-phased clustering algorithm, and outputting a transaction abnormality mark and a transaction abnormality strength value when the current transaction operation exceeds the dynamic payment baseline; extracting physiological features from the physiological signals, and aligning the physiological features with the payment behavior data to generate time sequence physiological features; analyzing voice content in the environment record to generate a voice threat index, and calculating threat confidence in combination with a transaction abnormal strength value and a time sequence physiological feature; according to the method, the payment behavior data, the time sequence physiological features and the threat confidence coefficient are integrated, the grading alarm signals are generated through a dynamic threshold value strategy, the potential risk situation is automatically recognized by integrating the payment behavior data, the physiological signals and the environment records, and the corresponding grading alarm signals are generated according to the risk grades.

The utility model discloses an intelligent watch with an elastic battery dismounting structure, which comprises a watch head shell, a battery groove for mounting a power supply battery is arranged in the watch head shell, a side cover plate is detachably mounted on one side of the watch head shell, and the power supply battery is detachably mounted in the battery groove; an elastic structure for ejecting out the power supply battery is arranged in the battery jar; the power supply battery is arranged to be a component detachably installed in the battery groove in the watch head shell, so that the situation that a user needs professional tools and skills to replace the battery when the service life of the battery of the intelligent watch is used up, the maintenance cost is increased, and the operation difficulty is also improved is avoided; the elastic structure which is used for positioning the power supply battery and is mutually clamped with the power supply battery is mounted in the battery groove, so that when the power supply battery needs to be disassembled, the power supply battery can be popped up by only disassembling the side cover plate, pressing the power supply battery inwards and loosening the power supply battery by virtue of the elastic structure.

The invention discloses a smart watch positioning precision optimization method and system, relates to the field of smart watch positioning precision optimization, is used for carrying out position calculation in an underground environment lacking an external positioning reference, and comprises the following steps: identifying a specific physical interaction action executed by a user through a smart watch; after the specific physical interaction action is recognized, static state information is obtained; the static state information is sensing information of the smart watch in a static state before the specific physical interaction action occurs; executing zero-speed updating by using the static state information, and correcting an accumulated position error; the zero-speed updating is used for calibrating the gyroscope zero-point deviation of the smart watch.

Embodiments are disclosed for crash detection on one or more mobile devices (e.g., smartwatch and / or smartphone). In some embodiments, a method comprises: detecting, with at least one processor, a crash event on a crash device; extracting, with the at least one processor, multimodal features from sensor data generated by multiple sensing modalities of the crash device; computing, with the at least one processor, a plurality of crash decisions based on a plurality of machine learning models applied to the multimodal features; and determining, with the at least one processor, that a severe vehicle crash has occurred involving the crash device based on the plurality of crash decisions and a severity model.

A method actuating a device to perform hardware interfacing for hardware and / or OS IDs (referring to identification numbers and / or serial numbers) embedded or installed thereon, setting at least one of the IDs as DI (device identification) information, and selectively allowing the DI information to be transmitted out, for providing cybersecurity protection to the device itself and / or to an external control system / Internet system to be accessed, for establishing unique DI intercommunication with the external control system / Internet system, for replacing the conventional antivirus software, for providing OS piracy protection to an OS maker, for functioning as a unique private key in encrypting / decrypting outgoing commands and / or feedback signals, wherein the device may be any communication device, computer, control system, server, Internet system, smartphone, smartwatch, Autonomous Thing (AuT), Internet of Autonomous Thing (IoAT), Internet of Medical Thing (IoMT), AI device / machine, robot, android, autonomous car or unmanned aerial vehicle, drone or unmanned aircraft system.

The invention discloses a health monitoring system based on a smart watch, and relates to the technical field of wearable equipment health data analys.The health monitoring system comprises the steps that multi-source physiological signal data is collected, and a perturbation feature vector sequence is constructed; obtaining a health state evolution trajectory based on the multi-scale time perception map; carrying out risk trend discrimination by using a sparse attention network, and generating an individual health risk weight map; self-adaptive adjustment is carried out by combining the environment temperature, the air pressure and the exercise intensity grade, and an intervention node time sequence table is generated; when the risk score in the continuous time period exceeds a threshold value, health abnormality early warning is triggered and fed back to a display interface of the smart watch end; the method can achieve the dynamic perception and intelligent early warning of the health state of the user, has the advantages of high recognition sensitivity, strong intervention timeliness and good adaptability, and is suitable for the scenes of individual health management, high-risk occupational monitoring and the like.

Even for users who are unfamiliar with smartphones or smartwatches, or those with visual impairments, this system enables personalized health support through interaction between the user and a hologram avatar. [Solution] A health support device comprising a body-worn device worn on the wrist with a biometric information acquisition sensor in contact with the user's skin, a collection means for collecting the acquired biometric information in real time, and a management server connected to the collection means via the cloud. The body-worn device comprises an avatar image generation means, an aerial display means for projecting the avatar image into the air as a 3D hologram, and a selection means for selecting the biometric information to be monitored 24 hours a day using voice commands spoken by the user. The management server comprises a dialogue engine that provides health support by having the avatar image interact with the user in response to changes in the selected biometric information, and the hologram-projected avatar responds visually or audibly in accordance with the biometric information.

The invention relates to the technical field of intelligent watch positioning, and provides an intelligent watch high-precision positioning method and system, and the method comprises the steps: obtaining a satellite positioning signal of a global navigation satellite system; continuously monitoring the signal quality of the satellite positioning signal and the motion information of an inertial measurement unit in the smart watch; according to the signal quality, the motion information and preset geographic information, whether the wearer is about to enter a signal limited environment or not is judged, and a signal limited judgment result is obtained; and if the signal limitation judgment result shows that the wearer is about to enter the signal limitation environment, adjusting the working mode of the positioning service. The method has the effect of improving the positioning precision and stability of the smart watch.

Novel tools and techniques are provided for implementing novel finger swipe-based smart watch user interface (“UI”) control or novel micro finger gesture-based UI control for wrist-wearable device. In various embodiments, a computing system may analyze biosensor data to identify micro-gestures of a user's finger, the biosensor data being received from biosensor(s) disposed on a wrist-wearable device when it is being worn by the user. In response to identifying a first micro-gesture of the user's finger in the biosensor data, the computing system may determine whether the first micro-gesture corresponds to one of a finger-swipe command or a finger-drag command for controlling a UI of the wrist-wearable device. If so, the computing system may cause the UI of the wrist-wearable device to perform one or more first functions in response to the one of the finger-swipe command or the finger-drag command.

The present invention relates to a smart watch and, more specifically, to a smart watch that can have improved wheel touch sensitivity.The smart watch according to one embodiment of the present invention comprises: a display module including a cover member, a display unit, which is disposed under the cover member and has a touch sensor including a plurality of electrode patterns, and a substrate disposed under the display unit; a guide which is arranged to encompass the cover member and the display unit, and which is made of an insulating material; a wheel touch sensor which is arranged to encompass the display unit, and which is disposed under the guide; and an external case arranged to encompass the guide.

The invention discloses a smart watch arrhythmia early warning method and system based on deep learning. The method comprises the steps that firstly, PPG signals are collected through a photoelectric volume pulse wave sensor, and denoising and standardization processing are conducted through an adaptive filtering algorithm; then, the heart beat position is recognized through a wavelet transform peak value detection algorithm, and a heart rate variability feature sequence is obtained; converting the one-dimensional heart rate variability feature sequence into a two-dimensional heart rhythm image by using an improved Gramian angular field transformation algorithm; and training an arrhythmia classification model by adopting a ResNet-50 convolutional neural network to realize automatic identification of different types of arrhythmia. And finally, continuous monitoring and timely alarming are realized through a sliding window technology and an early warning mechanism. The key technical problems of low detection precision, poor real-time performance, high equipment cost, poor user experience and the like in the existing arrhythmia detection technology are effectively solved, and an innovative solution is provided for heart rhythm health monitoring of the intelligent wearable equipment.

The present disclosure provides a smart watch that relates to the field of smart wearable devices. The smart watch includes a watch body and two earphones, the watch body including a watch dial and two watch straps connected to the watch dial; the watch dial includes two installation grooves formed on a circumferential side thereof so that the two earphones are respectively inserted into the two installation grooves and extend out of the two installation grooves. Each of the two earphones includes a magnetic female connector, and a controller and a magnetic male connector connected to the magnetic female connector are arranged inside the watch dial. The magnetic male connector and the magnetic female connector are stably connected with each other through a magnetic adsorption way. The present disclosure is configured to enhance user experiences by optimizing an access method of the two earphones thereof.

1. The name of the design product: the main body of a smart watch. 2. The use of the design product: the whole product is used to display time, personal physical data, sports information, and is associated with the user's mobile phone, etc. Part of the product is the main body of a smart watch. 3. The design points of the design product: the shape of the solid line part in the figure. 4. The picture or photo that best indicates the design points: perspective view 1. 5. Other circumstances that need to be explained: the dotted line part in the figure is not claimed.

Computer implemented systems and methods are disclosed involving technological advancements in the processing of electronic transaction processing. A system may comprise a networked environment including heterogeneous or homogenous payment processing systems. A centrally accessible server machine storing an automatic savings program module and rules controls the generation and dissemination of new transactions derived from incoming transactions. Moreover, the networked system may be used to control authorization of electronic transactions in a near real-time manner. The networked system may be used to distribute a financial health of a user in a user-friendly, mobile form factor.

A ball launching net post system for ball courts integrates automated ball launching, environmental monitoring, net tension control, and weatherproofing within a pair of multifunctional net posts. Each net post houses a ball launcher comprising opposing wheels driven by servomotors to propel balls through apertures in the post. Controllers integrated into each net post monitor court humidity, wind, and weather conditions while enabling remote operation of the ball launchers via smartphone or smartwatch. A weatherproofing system enhances ventilation and prevents water intrusion, safeguarding internal components. The system includes a net tension mechanism and height sensor, connected to the controllers, to maintain net height automatically. Adjustable ball trajectories are achieved by varying launcher wheel speeds and housing tilt angles. The ball launching net post system maximizes court space, improves practice versatility, and increases equipment durability by transforming passive net posts into intelligent, active court infrastructure.