1112 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 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 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.

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 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.

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 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.

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.

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.

A system and method for drowsiness detection by a wearable device (smartwatch or smart ring), which constantly records and processes physiological and behavioral signals combined with historical user data. The system and method actively monitor the user's state, and using signal processing and machine-learning module, detect when the user is entering in a drowsy state. Based on the drowsiness detection module identifying a non-drowsiness an output of a drowsiness detection is directly fed back for future re-evaluation, and based on the drowsiness detection identifying a drowsiness state as being detected, an alert is provided to the user.

The application discloses a curved photosensitive glass, a preparation method and application thereof, and belongs to the technical field of glass materials.The application meets the specific composition of the curved photosensitive glass, in particular, the content of CeO2, Sb2O3 and Ag2O meets the specific range, so that the exposed area of the curved photosensitive glass has good shielding performance, and the curved photosensitive glass shows uniform black color after heat bending treatment; meanwhile, the non-exposed area of the curved photosensitive glass has good light transmittance; and the curved photosensitive glass can meet the requirements in the fields of mobile phone cover plates, smart watches and the like.

1. Name of the product in this design: Smartwatch (TK66 TK62 TK63 TK60). 2. Purpose of this design: For use in a smartwatch worn on the wrist. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The invention provides a multi-shape batch rendering method suitable for a GPU without hardware batch processing capability, and relates to the technical field of computer graphic rendering, the method comprises the following steps: pre-defining path drawing instruction templates of various graphic primitives and text characters; traversing and analyzing all to-be-rendered graphics and text elements of the current frame, and uniformly converting the to-be-rendered graphics and text elements into a path instruction sequence and coordinate parameters; separately storing the instruction and the parameter in a global array; sorting and combining all elements according to the rendering hierarchy to generate a global instruction stream and a parameter stream; and finally, packaging the complete instruction stream and the parameter stream into a single drawing command, and submitting the single drawing command to a GPU (Graphics Processing Unit) through one-time calling to complete the whole-frame rendering. According to the method, unified batch processing of graphs and texts on the path level can be realized, the GPU calling times are remarkably reduced, and the interface rendering efficiency and smoothness on resource-limited equipment such as smart watches and health bracelets are greatly improved.

The application provides an antenna structure for a watch and a smart watch, and the technical scheme points of the application include the following: a shell is internally provided with a containing cavity; a mainboard is arranged in the containing cavity; a screen assembly is arranged in the containing cavity and is oppositely arranged with the mainboard; an antenna radiator is arranged in the containing cavity and is located on the side of the mainboard facing the screen assembly; an antenna feed point is arranged on the mainboard and is connected with the antenna radiator; wherein the antenna radiator, the mainboard and the screen assembly jointly form a resonant cavity structure; the application has the advantages of saving the internal space of the equipment and meeting the performance requirements of the antenna.

A noise decibel testing method and device based on a smart wearable device, comprising: obtaining a PCM value of an audio signal of the smart wearable device and converting the PCM value into an RMS value; converting the RMS value into a voltage value, and then converting the voltage value into a sound pressure value; calculating a noise decibel of the audio signal according to the sound pressure value to obtain a first noise decibel value; obtaining a noise decibel compensation value by fitting a noise compensation curve; and compensating the first noise decibel value based on the noise decibel compensation value to obtain an actual noise decibel value tested by the smart wearable device. According to the audio signal of the smart wearable device, the first noise decibel value is obtained, the noise decibel compensation value is obtained by fitting the noise compensation curve, the first noise decibel value is compensated, and the actual noise decibel value measured by the smart wearable device is obtained, thereby solving the problem that the existing special instrument for testing noise decibel cannot be integrated into a smart watch and thus cannot directly test an external noise decibel value.

1. The name of the design product: medical and preventive core wrist ECG and blood pressure recording smart watch (G1). 2. The use of the design product: for smart watch, detecting human ECG, blood pressure, pulse rate, heart rate and blood oxygen saturation monitoring, sleep monitoring, stress and emotion monitoring, and recording and analyzing health data. 3. The design points of the design product: the combination of shape and pattern. 4. The picture or photo that best indicates the design points: perspective view 1.

The invention relates to the technical field of spring detection, in particular to a spring elasticity detection mechanism and spring detection equipment for a smart watch, and the spring elasticity detection mechanism comprises a linear driving assembly and a detection shell; a laser range finder, a pressing cylinder, a pressure plate, a pressure sensor and a lifting unit are arranged on the detection shell; the laser range finder is vertically arranged at the upper part of the detection shell, and the range finding end is vertically downward; the downward pressing cylinder is movably arranged below the laser range finder in the vertical direction, and the downward pressing cylinder presses the key when descending; the pressure plate is arranged above the lower pressing cylinder and is of an annular structure, an annular groove is formed in the periphery of the pressure plate, the upper portion of the lower pressing cylinder is arranged in the annular groove in a sleeved mode, a gap exists between the upper portion of the lower pressing cylinder and the upper portion of the annular groove, and a pressure sensor is arranged in the gap; the lifting unit is arranged above the pressure plate and used for driving the pressure plate to lift. According to the invention, the detection period is greatly shortened, and the detection efficiency is effectively improved.

The invention relates to the field of intelligent medical monitoring, in particular to a diabetic multi-source data real-time analysis method based on a large language model, and the method mainly comprises the steps: continuously collecting multi-source data of a patient from a CGM device, an intelligent watch and a mobile terminal, and enabling the multi-source data to at least comprise blood glucose data, heart rate and input data; constructing a deep learning model comprising four layers of attention mechanisms, inputting the fusion data into the deep learning model, predicting a blood glucose trend within a preset time by using a sliding time window to obtain a blood glucose prediction result, and pushing the blood glucose prediction result to the mobile terminal or the smart watch; and performing reinforcement learning on the large language model based on a deep Q network architecture, and when the blood glucose control time in the blood glucose data is lower than a preset threshold value, performing parameter updating on the large language model. According to the invention, personalized monitoring and intervention effects on the diabetic patient can be improved.

A fall detection device and method are provided. In at least some embodiments, the system can utilize sensing devices such as smartwatches or smartphones (e.g., using iOS, Android, or Pebble operating systems) to read a user's vital signs and apply algorithms to interpret these signs. If the patient is interpreted as having a fall, tremor, or seizure, a notification is sent to a designated caregiver via a reporting process. In at least some embodiments, a doctor or other party can log into a protected dashboard and review patient data in real time. Also in at least some preferred forms, the doctor or other party can analyze the patient's medical history. In at least some embodiments, the user / patient can also use the data to track the onset and progression of falls, tremors, or seizures. Embodiments of the invention can be applied, for example, to situations where the patient / user experiences a condition such as epilepsy that makes the patient / user susceptible to falls and related events.

The utility model discloses an anti-static plywood and furniture, the anti-static plywood comprises a plywood body, the upper surface of the plywood body is provided with a groove, and the bottom wall of the groove is provided with an equipment positioning groove; the wireless charging module is arranged in the board body and located under the equipment positioning groove; and the covering part has a covering state and a non-covering state, when the covering part is in the covering state, the covering part covers a notch in the upper side of the groove, and a containing space capable of containing equipment is formed between the lower plate face of the covering part and the bottom wall of the equipment positioning groove. According to the anti-static plywood, related equipment can be placed in the equipment positioning groove to be positioned, the risk that the equipment slides freely and falls off is reduced, and the equipment can be a mobile phone, an intelligent watch, an intelligent earphone, an intelligent ring and the like. And after the equipment is placed in the equipment positioning groove, the risk that the equipment is pushed at will and falls off is reduced.

Device and method for assisting a driver of a vehicle in optimizing a driving line (303) of the vehicle, particularly on a race track, wherein a signal characterizing a steering angle or steering input is received by an acceleration sensor, the acceleration sensor being located on the hand of a driver of the vehicle, particularly in a smartwatch, wherein a signal characterizing the position of the vehicle, particularly a GPS signal, is received, wherein the driving line (303) is determined depending on the signals, and wherein a map showing the driving line (303) and an ideal line (302), particularly the ideal line (302), for the race track is displayed on a display (300), particularly in the vehicle. The device comprises a vehicle.