Data interaction method and system for smart watch and smart ring

Abstract

The invention provides a data interaction method and system for a smart watch and a smart ring, and the method comprises the steps: collecting first monitoring data of a user through the smart ring, carrying out the anomaly detection of the first monitoring data, collecting second monitoring data of the user through the smart watch, and carrying out the anomaly detection of the second monitoring data; if the intelligent ring detects the abnormal event, synchronizing second to-be-monitored data of the intelligent watch to the intelligent ring, and confirming the abnormal event based on the second to-be-monitored data; and if the smart watch detects the abnormal event, synchronizing the first to-be-monitored data of the smart ring to the smart watch, and confirming the abnormal event based on the first monitoring data. According to the invention, the smart watch and the smart ring can be collaboratively fused, and the user experience is enhanced.

Description

Technical Field

[0001] This invention relates to the field of data interaction technology, and in particular to a data interaction method and system for a smartwatch and a smart ring. Background Technology

[0002] Smartwatches and smart rings are currently the mainstream wearable devices. Smartwatches offer comprehensive functions and advantages in display and interaction, but they are relatively large and consume a lot of power, and are inconvenient to use in certain scenarios (such as sleep, typing, and meetings). Smart rings are small in size and suitable for 24 / 7 wear, with a natural advantage in continuous physiological monitoring, but their miniaturized design limits the types of interfaces and sensors that can be used.

[0003] In current technologies, smartwatches and smart rings have virtually no interaction, or their interaction is mostly limited to basic data synchronization. This interaction is superficial and one-way, failing to fully utilize the heterogeneity of the two devices in terms of physical location, interaction methods, and sensor configuration to create new dimensions of interaction. Users still perceive them as two independent devices and cannot experience the convenience and intelligence of a unified system. Summary of the Invention

[0004] In view of this, the purpose of the present invention is to provide a data interaction method and system for smartwatches and smart rings, which enables smartwatches and smart rings to work together and enhance the user experience.

[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows: In a first aspect, the present invention provides a data interaction method between a smartwatch and a smart ring, comprising: collecting first monitoring data of a user through the smart ring and performing anomaly detection on the first monitoring data; collecting second monitoring data of the user through the smartwatch and performing anomaly detection on the second monitoring data; if the smart ring detects an abnormal event, synchronizing the second monitoring data of the smartwatch to the smart ring, and confirming the abnormal event based on the second monitoring data; if the smart watch detects an abnormal event, synchronizing the first monitoring data of the smart ring to the smart watch, and confirming the abnormal event based on the first monitoring data.

[0006] Optionally, the first monitoring data includes: blood oxygen saturation; the second monitoring data includes: ambient sound data; if the smart ring detects an abnormal event, it will synchronize the second monitoring data from the smart watch to the smart ring, and confirm the abnormal event based on the second monitoring data, including: if the smart ring detects a periodic decrease in blood oxygen saturation, it will send a trigger command to the smart watch; the smart watch will synchronize the ambient sound data to the smart ring based on the trigger command; the smart ring will determine whether the user has sleep apnea based on the ambient sound data and blood oxygen saturation.

[0007] Optionally, the smartwatch synchronizes ambient sound data to the smart ring based on a trigger command, including: the smartwatch analyzes ambient sound data within a preset time period based on the trigger command, determines whether target sound data exists, and sends the analysis results to the smart ring.

[0008] Optionally, the smart ring determines whether a user is experiencing sleep apnea based on ambient sound data and blood oxygen saturation. This includes: if blood oxygen saturation decreases periodically and target sound data is present within a preset time, then the user is confirmed to have experienced a sleep apnea event, and the smart ring records one sleep apnea event.

[0009] Optionally, it also includes: when the user is detected to be awake, the smart ring sends the user's sleep data and sleep apnea events to the smartwatch; the smartwatch analyzes the sleep data and sleep apnea events based on a preset risk assessment model, determines the risk level, and displays the risk level and sleep data on the watch screen.

[0010] Optionally, the first monitoring data may also include: hand movement data and heart rate data; the second monitoring data may also include: acceleration data and posture data; if the smartwatch detects an abnormal event, the first monitoring data from the smart ring will be synchronized to the smartwatch, and the abnormal event will be confirmed based on the first monitoring data, including: if the smartwatch detects a fall based on acceleration data and posture data, the user's hand movement data and heart rate data will be obtained from the smart ring; and the fall event will be confirmed based on the hand movement data and heart rate data.

[0011] Optionally, the fall event can be confirmed based on hand movement data and heart rate data, including: if the hand movement data and heart rate data match the preset fall characteristics, then it is determined that the user has fallen and a pop-up reminder is sent through the smartwatch screen.

[0012] Secondly, the present invention provides a data interaction system between a smartwatch and a smart ring, comprising: a smartwatch and a smart ring; the smart ring collects first monitoring data from the user and performs anomaly detection on the first monitoring data; the smartwatch collects second monitoring data from the user and performs anomaly detection on the second monitoring data; if the smart ring detects an abnormal event, it synchronizes the second monitoring data from the smartwatch to the smart ring and confirms the abnormal event based on the second monitoring data; if the smartwatch detects an abnormal event, it synchronizes the first monitoring data from the smart ring to the smartwatch and confirms the abnormal event based on the first monitoring data.

[0013] Thirdly, the present invention provides a smart wearable device, including a processor and a memory, the memory storing computer-executable instructions that can be executed by the processor, the processor executing the computer-executable instructions to implement the steps of the method provided in any of the first aspects above.

[0014] Fourthly, the present invention provides a computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, performs the steps of the method provided in any of the first aspects above.

[0015] This invention brings the following beneficial effects: The data interaction method and system between a smartwatch and a smart ring provided by this invention involves collecting first monitoring data from the user via the smart ring and performing anomaly detection on the first monitoring data, and collecting second monitoring data from the user via the smartwatch and performing anomaly detection on the second monitoring data. If the smart ring detects an abnormal event, it synchronizes the second monitoring data from the smartwatch to the smart ring and confirms the abnormal event based on the second monitoring data. If the smartwatch detects an abnormal event, it synchronizes the first monitoring data from the smart ring to the smartwatch and confirms the abnormal event based on the first monitoring data. This method enables data interaction and fusion of monitoring data from the smartwatch and the smart ring, combining the data from both the smartwatch and the smart ring for anomaly detection. Through collaborative control between the smartwatch and the smart ring, the accuracy of detection can be improved, enhancing the user experience.

[0016] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention are realized and obtained in accordance with the structures particularly pointed out in the description, claims and drawings.

[0017] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0018] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0019] Figure 1 A flowchart illustrating a data interaction method between a smartwatch and a smart ring, provided as an embodiment of the present invention; Figure 2 A schematic diagram of a sleep detection reminder provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of a fall detection and reminder provided in an embodiment of the present invention; Figure 4 This is a schematic diagram illustrating the principle of relative displacement generation of a touchpad according to an embodiment of the present invention; Figure 5 This is a schematic diagram of a touchpad processing flow provided in an embodiment of the present invention; Figure 6 This is a schematic diagram of the structure of a data interaction system between a smartwatch and a smart ring, provided in an embodiment of the present invention. Figure 7 This is a schematic diagram of the structure of a smart wearable device provided in an embodiment of the present invention. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0021] Currently, smartwatches and smart rings have virtually no interaction, or their interaction is mostly limited to basic data synchronization. This interaction is superficial and one-way, failing to fully utilize the heterogeneity of the two devices in terms of physical location, interaction methods, and sensor configuration to create new dimensions of interaction. Users still perceive them as two independent devices and cannot experience the convenience and intelligence of a unified system.

[0022] Based on this, the present invention provides a data interaction method and system for smartwatches and smart rings, which enables smartwatches and smart rings to work together and enhance the user experience.

[0023] To facilitate understanding of this embodiment, a data interaction method between a smartwatch and a smart ring disclosed in this embodiment of the invention will first be described in detail. See [link to documentation]. Figure 1 The flowchart shown illustrates a data interaction method between a smartwatch and a smart ring, indicating that the method mainly includes the following steps S101 to S103: Step S101: Collect the user's first monitoring data through the smart ring and perform anomaly detection on the first monitoring data; collect the user's second monitoring data through the smart watch and perform anomaly detection on the second monitoring data.

[0024] In one implementation, the smart ring and smartwatch can communicate via Bluetooth pairing. While the user is wearing both, the smart ring can collect the user's first monitoring data in real time (e.g., blood oxygen saturation, resting heart rate, finger movements, etc.) and detect anomalies in the first monitoring data; the smartwatch can collect the user's second monitoring data in real time (e.g., sound, heart rate, acceleration, etc.) and detect anomalies in the second monitoring data.

[0025] Step S102: If the smart ring detects an abnormal event, it will synchronize the second monitoring data from the smart watch to the smart ring and confirm the abnormal event based on the second monitoring data.

[0026] Step S103: If the smartwatch detects an abnormal event, the first monitoring data of the smart ring is synchronized to the smartwatch, and the abnormal event is confirmed based on the first monitoring data.

[0027] In one implementation, if the smart ring detects an anomaly, it synchronizes the second monitoring data from the smartwatch to the smart ring, and combines the monitoring data from both the smartwatch and the smart ring to confirm the anomaly, that is, it further determines whether an anomaly has occurred by combining the monitoring data from both the smartwatch and the smart ring; similarly, if the smartwatch detects an anomaly, it synchronizes the first monitoring data from the smart ring to the smartwatch, and further determines whether an anomaly has occurred by combining the monitoring data from both the smartwatch and the smart ring.

[0028] The data interaction method between a smartwatch and a smart ring provided in this embodiment of the invention can interact and merge the monitoring data of the smartwatch and the smart ring, detect abnormal events by combining the data of the smartwatch and the smart ring, and improve the accuracy of detection and enhance the user experience through collaborative control between the smartwatch and the smart ring.

[0029] In one implementation, the first monitoring data includes blood oxygen saturation; the second monitoring data includes ambient sound data. Based on this, if the smart ring detects an abnormal event, it synchronizes the second monitoring data from the smartwatch to the smart ring and confirms the abnormal event based on the second monitoring data, including: First, if the smart ring detects a periodic decrease in blood oxygen saturation, it sends a trigger command to the smartwatch.

[0030] In one implementation, the smart ring can continuously monitor the user's blood oxygen saturation while the user sleeps. When the smart ring detects a periodic decrease in blood oxygen saturation, it sends a trigger command to the smartwatch. The trigger command includes a trigger signal and historical sleep data.

[0031] Then, based on the trigger command, the smartwatch synchronizes the ambient sound data to the smart ring.

[0032] In one implementation, the smartwatch analyzes ambient sound data within a preset time period based on a trigger command, determines whether target sound data exists, and sends the analysis results to the smart ring.

[0033] In practice, after receiving a trigger command from the smart ring, the smartwatch can activate its microphone to collect ambient sound data within a preset time period, analyze the ambient sound data to determine whether there is target sound data (such as snoring), and send the analysis results to the smart ring.

[0034] Finally, the smart ring uses ambient sound data and blood oxygen saturation to determine whether the user is experiencing sleep apnea.

[0035] In one implementation, the smart ring can further determine whether the user is experiencing sleep apnea based on the detected blood oxygen saturation and the analysis results of ambient sound synchronized from the smartwatch. In specific implementation, if the blood oxygen saturation decreases periodically and target sound data is present within a preset time, it is determined that the user has experienced a sleep apnea event, and the smart ring records one sleep apnea event.

[0036] Furthermore, the above method also includes: when the user is detected to be awake, the smart ring sends the user's sleep data and sleep apnea events to the smartwatch; the smartwatch analyzes the sleep data and sleep apnea events based on a preset risk assessment model, determines the risk level, and displays the risk level and sleep data on the watch screen.

[0037] In one implementation, when the user is detected waking up in the morning, the smart ring can synchronize recorded sleep data (sleep duration, average blood oxygen, etc.) and sleep apnea events to the smartwatch. The smartwatch integrates the sleep data and sleep apnea events from both devices, analyzes them using a preset risk assessment model, and provides a corresponding risk level and brief suggestions, displaying a pop-up reminder on the watch screen. See details. Figure 2 As shown.

[0038] In one implementation, the risk assessment model can be based on medical guidelines and epidemiological studies to set grading rules, specifically including: (1) low risk: estimated sleep apnea < 5 times / hour, minimum blood oxygen > 90%, no frequent sudden drops in blood oxygen; (2) medium risk: estimated sleep apnea 5–15 times / hour, minimum blood oxygen 85%–90%, accompanied by mild daytime sleepiness or snoring; (3) high risk: estimated sleep apnea ≥ 15 times / hour, minimum blood oxygen < 85%, frequent drops in blood oxygen, abnormal nocturnal heart rate, significant daytime fatigue, etc. Based on this, in this embodiment of the invention, sleep data from both ends (total sleep duration, sleep onset time, number of awakenings, deep sleep / light sleep / REM ratio, blood oxygen saturation, heart rate variability, etc.) and sleep apnea events can be integrated to use the risk assessment model to make a risk judgment and provide brief suggestions.

[0039] In this embodiment of the invention, the smart ring can continuously monitor the user's baseline physiological parameters (such as resting heart rate and blood oxygen) and sleep stage data in a low-power and imperceptible wearing mode; the low-power processor in the smart ring runs a simple anomaly detection algorithm (such as threshold judgment), while the high-performance main processor in the smart watch runs a complex pattern recognition algorithm (such as arrhythmia classification); when the smart ring detects an anomaly (such as blood oxygen being consistently below the threshold), it not only sends a trigger signal to the smart watch, but also sends historical data from a period of time prior to the trigger to the smart watch, providing context for the smart watch to perform in-depth analysis.

[0040] In one implementation, the first monitoring data further includes: hand movement data and heart rate data; the second monitoring data further includes: acceleration data and posture data. Based on this, if the smartwatch detects an abnormal event, it synchronizes the first monitoring data from the smart ring to the smartwatch and confirms the abnormal event based on the first monitoring data, including: First, if the smartwatch detects a fall based on acceleration and posture data, it retrieves the user's hand movement and heart rate data from the smart ring; then, it confirms the fall based on the hand movement and heart rate data.

[0041] In practice, smartwatches can use six-axis sensors and gyroscopes to detect acceleration and posture data, and determine whether the user has fallen based on the acceleration and posture data.

[0042] In one implementation, a fall is often accompanied by a sudden change in high acceleration (e.g., from standing to impact with the ground) and a rapid change in body posture (e.g., from vertical to horizontal). Based on this, if a sudden change in the user's acceleration, a change in the direction of acceleration, or a peak in acceleration is detected, a fall is preliminarily determined. A fall may be accompanied by body rotation or rolling; therefore, if a gyroscope detects a rapid change in angular velocity, a fall is preliminarily determined. Furthermore, the device's attitude data relative to the ground can be calculated using a six-axis sensor and a gyroscope, and the attitude data can be used to determine whether the user has fallen, for example, whether the user rapidly changes from an upright position to lying flat or on their side.

[0043] Because smartwatches are prone to misjudging falls, this invention addresses this issue by considering that users' hands will instinctively react (e.g., waving, bracing themselves) when falling. The smart ring can provide information about these instinctive hand movements and immediate physiological impact responses during a fall.

[0044] Based on this, when the smartwatch initially detects a user's fall, it can obtain the user's hand movement data (collected by the smart ring's six-axis sensor) and heart rate data, and use the hand movement data and heart rate data to confirm the fall event.

[0045] In one implementation, if the hand movement data and heart rate data match preset fall characteristics, a fall event is determined, and a pop-up alert is displayed on the smartwatch screen. Specifically, the hand movement data is used to determine if the user's hands are making sudden, irregular waving movements, and whether PPG (Photoplethysmography) shows a sudden spike in the user's heart rate. If so, a fall event is determined, a pop-up alert is displayed on the smartwatch screen, and the smartwatch automatically dials emergency services and sends location information. The smartwatch's pop-up alert is described in detail below. Figure 3 As shown.

[0046] In this embodiment of the invention, the smartwatch is more sensitive to sudden falls and impacts due to its wearing position; the smart ring can provide the instinctive reaction posture of the hand and the immediate physiological impact response when falling, which is an excellent false alarm filter. If the user simply throws the watch onto the sofa, the sensor data of the smart ring will show that the hand is stable and the heart rate is normal, which will be judged as a false alarm and will not trigger a fall detection reminder.

[0047] Furthermore, in this embodiment of the invention, a graded alarm system is used for fall detection. In high-risk scenarios, the smartwatch independently triggers a level one alarm. In cases of low confidence, the fall is confirmed by the contextual information fed back by the smart ring (i.e., monitoring data before and after the fall). This greatly improves the accuracy of fall detection and reduces false detections, ensuring both user experience and user safety.

[0048] In this embodiment of the invention, the smart ring and the smartwatch can also interact via gesture control. The smart ring first pairs with the mobile phone, then pairs with the smartwatch via Bluetooth and establishes a communication connection. Finally, the smart watch interaction mode is enabled in the mobile phone's app to begin interaction between the smart ring and the smartwatch. The interaction between the smart ring and the smartwatch includes the following three methods: (1) Interaction method one: Through the ring touchpad on the smart ring, you can perform sliding, clicking and long-press operations. For example, long-press the touchpad for 5 seconds to bring up the application list menu of the smart watch, slide the touchpad up and down to view the application list menu of the smart watch, and click the touchpad to select and enter the menu function of the smart watch.

[0049] In practical implementation, after the capacitive touchpad sensing layer of the smart ring's ring-shaped touchpad detects the electrical signal of a finger sliding / clicking action, the smart ring converts this electrical signal into a control signal and transmits it to the smartwatch via Bluetooth communication protocol, causing the smartwatch to execute the operation corresponding to the control signal. Specifically, when a click event is detected on the ring-shaped touchpad, simulating a mouse button press, the release event is packaged into a USB / HID protocol data packet and reported; when a sliding event is detected on the ring-shaped touchpad, the relative displacement (ΔX, ΔY) event is generated in real time, packaged into a USB / HID protocol data packet, and reported.

[0050] The generation principles of ΔX and ΔY are described in [reference needed]. Figure 4 As shown, the signs of the relative displacements ΔX and ΔY indicate the direction of movement. For example, +ΔX indicates movement to the right, and -ΔX indicates movement to the left; +ΔY indicates movement downwards, and -ΔY indicates movement upwards.

[0051] Because the touch panel of the smart ring is small, while the display area of ​​the smartwatch is large, an amplification factor K for ΔX and ΔY is introduced in this embodiment of the invention to enable the smart ring to better control the mouse position display on the smartwatch. During the sliding process, changes in ΔX and ΔY are detected at equal time intervals. Therefore, when a large change in ΔX and ΔY is detected, the value of the amplification factor K increases; when a small change in ΔX and ΔY is detected, the value of the amplification factor K decreases. The actual relative displacement used is... .Bundle Packing the data into USB / HID protocol packets and reporting them allows for better control over the mouse display position on smartwatches.

[0052] See Figure 5 As shown, the processing flow of the smart ring's circular touchpad includes: when a finger touches the touchpad, the capacitive sensor array signal changes and is converted into positioning coordinates; it determines whether the finger releases the touchpad or moves; if it moves, it continues to acquire positioning coordinates; if it releases, it acquires the end coordinates (i.e., the positioning coordinates when the finger is released); then it determines whether the start click coordinates and the end coordinates are equal; if they are equal, a click event is generated; if they are not equal, it is a swipe event, and relative swipe coordinates are generated.

[0053] (2) Interaction method two: By operating specific gestures with the fingers wearing the smart ring, you can quickly control the up / down / left / right page turning / confirm / cancel functions of the smart watch menu.

[0054] (3) Interaction method three: Use the fingers of the smart ring to perform quick gesture actions, such as: flipping the palm 90 degrees to answer a phone call, quickly flicking two fingers to take a remote photo, snapping fingers to quickly enter the music control function, etc.

[0055] In practice, the smart ring's six-axis sensor detects and recognizes finger gestures, and the processor generates control signals from these gestures. These signals are then transmitted to the smartwatch via Bluetooth, enabling the smartwatch to perform the corresponding operations.

[0056] After the air touch switch is turned on by the mobile app, the finger wearing the smart ring can be moved up and down or left and right. The smart ring will transmit the recognized movements to the smartwatch to move up and down or left and right to slide the function menu. If the hand wearing the smart ring is clenched into a fist, it will be recognized as confirmation, and the smartwatch will be controlled to click to enter the function. If the five fingers are spread open, it will be recognized as cancellation, and the smartwatch will be controlled to return to the function menu.

[0057] After turning on the quick gesture switch in the mobile app, you can select and define specific functions to trigger based on different gestures. Each gesture can only select one function scenario.

[0058] When the mobile app turns on the adaptive optimized gesture switch, it can use AI learning to judge the real-world environment and then automatically switch to an interaction mode that adapts to that environment, responding to key subtle gestures, increasing the error tolerance of gesture recognition, and improving accuracy.

[0059] When you tap the target button in the mobile app, you can see examples of different gestures, which you can then practice by following along.

[0060] The data interaction method between the smartwatch and smart ring provided in this invention deeply integrates the hardware capabilities and data fusion of the smartwatch and smart ring, as well as the unique interactive function of coordinated control. It combines their respective advantages to provide a smart and convenient interactive control and predictive health management experience. It can effectively solve the problems of poor linkage between two devices and single interaction mode in the prior art. It provides users with in-depth insights into sleep health and improves the accuracy of fall detection and early warning for elderly users. It enables smart health devices to better coordinate and integrate, enhancing the user experience.

[0061] Regarding the data interaction method between a smartwatch and a smart ring provided in the foregoing embodiments, this invention provides a data interaction system between a smartwatch and a smart ring, see [link to documentation]. Figure 6 The diagram shows a data interaction system between a smartwatch and a smart ring, indicating that the system mainly includes a smart ring 601 and a smartwatch 602.

[0062] The smart ring 601 collects the user's first monitoring data and performs anomaly detection on the first monitoring data; the smart watch 602 collects the user's second monitoring data and performs anomaly detection on the second monitoring data; if the smart ring 601 detects an abnormal event, it synchronizes the second monitoring data of the smart watch 602 to the smart ring and confirms the abnormal event based on the second monitoring data; if the smart watch 602 detects an abnormal event, it synchronizes the first monitoring data of the smart ring 601 to the smart watch and confirms the abnormal event based on the first monitoring data.

[0063] The data interaction system between the smartwatch and the smart ring provided in this embodiment of the invention can interact and merge the monitoring data of the smartwatch and the smart ring, detect abnormal events by combining the data of the smartwatch and the smart ring, and improve the accuracy of detection and enhance the user experience through collaborative control between the smartwatch and the smart ring.

[0064] It should be noted that the system provided in this embodiment of the invention has the same implementation principle and technical effects as the aforementioned method embodiment. For the sake of brevity, any parts not mentioned in the system embodiment can be referred to the corresponding content in the aforementioned method embodiment. The specific numerical values ​​provided in the implementation of this invention are merely exemplary and are not intended to limit the scope of the invention.

[0065] This invention also provides a smart wearable device, specifically, the smart wearable device includes a processor and a storage device; the storage device stores a computer program, and the computer program executes the method described in any of the above embodiments when run by the processor.

[0066] Figure 7This is a schematic diagram of the structure of a smart wearable device provided in an embodiment of the present invention. The smart wearable device 100 includes: a processor 70, a memory 71, a bus 72, and a communication interface 73. The processor 70, the communication interface 73, and the memory 71 are connected through the bus 72. The processor 70 is used to execute executable modules, such as computer programs, stored in the memory 71.

[0067] The memory 71 may include high-speed random access memory (RAM) or non-volatile memory, such as at least one disk storage device. Communication between this system network element and at least one other network element is achieved through at least one communication interface 73 (which can be wired or wireless), such as the Internet, wide area network, local area network, metropolitan area network, etc.

[0068] Bus 72 can be an ISA bus, PCI bus, or EISA bus, etc. The bus can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 7 The symbol is represented by a single double-headed arrow, but this does not mean that there is only one bus or one type of bus.

[0069] The memory 71 is used to store programs. After receiving an execution instruction, the processor 70 executes the programs. The method executed by the device for defining the flow process disclosed in any of the foregoing embodiments of the present invention can be applied to the processor 70 or implemented by the processor 70.

[0070] The processor 70 may be an integrated circuit chip with signal processing capabilities. In implementation, each step of the above method can be completed by the integrated logic circuitry in the hardware of the processor 70 or by instructions in software form. The processor 70 may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this invention. The general-purpose processor may be a microprocessor or any conventional processor. The steps of the methods disclosed in the embodiments of this invention can be directly embodied in the execution of a hardware decoding processor, or executed by a combination of hardware and software modules in the decoding processor. The software modules may reside in random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, or other mature storage media in the art. The storage medium is located in memory 71. Processor 70 reads the information in memory 71 and, in conjunction with its hardware, completes the steps of the above method.

[0071] The computer program product of the readable storage medium provided in the embodiments of the present invention includes a computer-readable storage medium storing program code. The instructions included in the program code can be used to execute the methods described in the foregoing method embodiments. For specific implementation, please refer to the foregoing method embodiments, which will not be repeated here.

[0072] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, essentially, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0073] Finally, it should be noted that the above-described embodiments are merely specific implementations of the present invention, used to illustrate the technical solutions of the present invention, and not to limit it. The scope of protection of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments within the technical scope disclosed in the present invention, or make equivalent substitutions for some of the technical features; and these modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A data interaction method between a smartwatch and a smart ring, characterized in that, include: The system collects first monitoring data from the user through a smart ring and performs anomaly detection on the first monitoring data; it also collects second monitoring data from the user through a smartwatch and performs anomaly detection on the second monitoring data. If the smart ring detects an abnormal event, it will synchronize the second monitoring data of the smart watch to the smart ring and confirm the abnormal event based on the second monitoring data. If the smartwatch detects an abnormal event, it will synchronize the first monitoring data of the smart ring to the smartwatch and confirm the abnormal event based on the first monitoring data.

2. The method according to claim 1, characterized in that, The first monitoring data includes: blood oxygen saturation; the second monitoring data includes: ambient sound data; If the smart ring detects an abnormal event, it synchronizes the second monitoring data from the smartwatch to the smart ring and confirms the abnormal event based on the second monitoring data, including: If the smart ring detects a periodic decrease in blood oxygen saturation, it sends a trigger command to the smartwatch. Based on the trigger command, the smartwatch synchronizes the ambient sound data to the smart ring; The smart ring determines whether the user is experiencing sleep apnea based on the ambient sound data and the blood oxygen saturation.

3. The method according to claim 2, characterized in that, The smartwatch, based on the trigger command, synchronizes the ambient sound data to the smart ring, including: Based on the trigger command, the smartwatch analyzes the ambient sound data within a preset time period to determine whether target sound data exists, and sends the analysis results to the smart ring.

4. The method according to claim 3, characterized in that, The smart ring determines whether the user is experiencing sleep apnea based on the ambient sound data and the blood oxygen saturation, including: If the blood oxygen saturation decreases periodically and target sound data is present within the preset time period, it is determined that the user has experienced a sleep apnea event, and the smart ring records one sleep apnea event.

5. The method according to claim 4, characterized in that, Also includes: When the user is detected to be awake, the smart ring sends the user's sleep data and the sleep apnea event to the smartwatch; The smartwatch analyzes the sleep data and sleep apnea events based on a preset risk assessment model, determines the risk level, and displays the risk level and sleep data on the watch screen.

6. The method according to claim 1, characterized in that, The first monitoring data also includes: hand movement data and heart rate data; the second monitoring data also includes: acceleration data and posture data; If the smartwatch detects an abnormal event, the first monitoring data of the smart ring is synchronized to the smartwatch, and the abnormal event is confirmed based on the first monitoring data, including: If the smartwatch detects a fall based on the acceleration data and posture data, it obtains the user's hand movement data and heart rate data from the smart ring. The fall event is confirmed based on the hand movement data and the heart rate data.

7. The method according to claim 6, characterized in that, The fall event is confirmed based on the hand movement data and the heart rate data, including: If the hand movement data and the heart rate data match the preset fall characteristics, it is determined that the user has fallen, and a pop-up reminder is displayed on the smartwatch screen.

8. A data interaction system for a smartwatch and a smart ring, characterized in that, include: Smartwatches and smart rings; The smart ring collects the user's first monitoring data and performs anomaly detection on the first monitoring data; The smartwatch collects the user's second monitoring data and performs anomaly detection on the second monitoring data; If the smart ring detects an abnormal event, it will synchronize the second monitoring data of the smart watch to the smart ring and confirm the abnormal event based on the second monitoring data. If the smartwatch detects an abnormal event, it will synchronize the first monitoring data of the smart ring to the smartwatch and confirm the abnormal event based on the first monitoring data.

9. A smart wearable device, characterized in that, The method includes a processor and a memory, the memory storing computer-executable instructions executable by the processor, the processor executing the computer-executable instructions to implement the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program thereon, characterized in that, The computer program is executed by the processor to perform the steps of the method described in any one of claims 1 to 7.

Images