Interaction control method of wearable device, interaction control system of wearable device and computer readable storage medium

Abstract

The application provides an interactive control method of a wearable device, an interactive control system of a wearable device and a computer readable storage medium. The interactive control method comprises the following steps: obtaining to-be-interacted data, wherein the to-be-interacted data comprises first type data and second type data; receiving the first type data through a first acoustic link and receiving the second type data through a second radio frequency link; emitting a detection signal through an ultrasonic sensor and receiving an echo signal generated based on the detection signal to identify a sleep state of a target object; and dynamically adjusting an audio output parameter based on the sleep state.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent wearable device control, and in particular to an interactive control method for wearable devices, an interactive control system for wearable devices, and a computer-readable storage medium. Background Technology

[0002] With the widespread adoption of smart wearable devices, their applications in information reminders and health monitoring are becoming increasingly extensive. However, existing wearable device interaction control technologies still have significant shortcomings. On the one hand, in terms of data transmission, traditional solutions typically rely on a single radio frequency communication link (such as Bluetooth). While transmission is stable, pre-pairing is required, which cannot meet the needs of instant information reminders in pairing-free scenarios. On the other hand, while simple acoustic communication links can eliminate the need for pairing, their bandwidth is limited, making it difficult to handle the synchronous transmission of large amounts of data. This results in a disconnect between instant reminders and data synchronization functions, leading to poor communication coordination. On the other hand, in terms of audio reminder control, existing devices mostly adopt fixed volume or simple adjustment strategies based on ambient noise, lacking the ability to perceive the user's true physiological state (such as sleep depth). When the user is asleep or in a light sleep state, a fixed reminder method is very likely to cause disturbance, interrupting the user's rest cycle and resulting in a poor user experience. Therefore, there is an urgent need for an interactive control solution that can balance pairing-free instant communication and stable data synchronization, and can achieve adaptive audio adjustment based on the user's physiological state. Summary of the Invention

[0003] The purpose of this invention is to overcome the shortcomings of the prior art and provide an interactive control method, an interactive control system, and a computer-readable storage medium for wearable devices that realize dual-link off-flow transmission based on data attributes.

[0004] The objective of this invention is achieved through the following technical solution: An interactive control method for a wearable device includes: acquiring data to be interacted with, the data to be interacted with including a first type of data and a second type of data; receiving the first type of data through a first acoustic link and receiving the second type of data through a second radio frequency link; emitting a detection signal through an ultrasonic sensor and receiving an echo signal generated based on the detection signal to identify the sleep state of a target object; and dynamically adjusting audio output parameters based on the sleep state.

[0005] In one embodiment, the real-time requirement of the first type of data is higher than a preset real-time threshold and the data volume is lower than a preset data volume threshold, while the data volume of the second type of data is higher than the preset data volume threshold; receiving the first type of data through the first acoustic link and receiving the second type of data through the second radio frequency link includes: receiving the first type of data through the first acoustic link in a pairless state; and receiving the second type of data through the second radio frequency link in a paired connection state.

[0006] In one embodiment, the step of emitting a detection signal via an ultrasonic sensor and receiving an echo signal generated based on the detection signal to identify the sleep state of a target object includes: extracting physiological characteristics of the target object based on the echo signal; and dividing the sleep state into multiple sleep stages based on the physiological characteristics.

[0007] In one embodiment, receiving the first type of data via the first acoustic link includes: transmitting a high-frequency acoustic signal with a frequency between 18kHz and 22kHz based on the speaker of the transmitting device, the high-frequency acoustic signal carrying the first type of data; receiving the high-frequency acoustic signal using the microphone of the wearable device, and decoding the high-frequency acoustic signal to obtain the first type of data.

[0008] In one embodiment, the second radio frequency link is a Bluetooth Low Energy (BLE) link; receiving the second type of data through the second radio frequency link includes: receiving the second type of data sent by the terminal device through the BLE link, wherein the second type of data includes at least one of sleep monitoring data, structured text data, and control command data.

[0009] In one embodiment, the step of obtaining the data to be interacted with includes: optimizing and parsing the client text information to obtain the interaction data.

[0010] In one embodiment, the optimization and parsing of the client text information includes: extracting keywords from the text information; and prioritizing the text information.

[0011] In one embodiment, the present invention also provides an audio playback control system, including the interactive control method of the wearable device described above.

[0012] The present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a computer, implements the interactive control method of the wearable device described above.

[0013] Compared with the prior art, the present invention has at least the following advantages: 1. Data to be interacted with refers to a set of information that needs to be fed back, prompted, or synchronized to the user. In this embodiment, to adapt to different transmission needs and scenario characteristics, the data to be interacted with is logically divided into a first category and a second category. This division is not based on the semantic content of the data (such as text, audio, or video), but on the transmission attributes and business priorities of the data. For example, the first category of data usually has a small data payload but has extremely high timeliness requirements, such as instant message reminders, emergency alarm signals, or lightweight control commands; while the second category of data usually contains a large amount of information but has relatively relaxed requirements for real-time arrival, such as historical health reports, firmware update packages, complete meeting recordings, or detailed schedule synchronization data. It should be understood that although the background section of this specification mentions text information processing in office scenarios, in the technical solution of this embodiment, the source and form of the data to be interacted with are not limited to specific application scenarios or generation methods. It can be sensor data generated locally by the wearable device, or external data received from the transmitting device or mobile terminal through the network. This attribute-based classification mechanism provides a data foundation for subsequent differentiated transmission strategies.

[0014] 2. A heterogeneous dual-link communication architecture is adopted to carry different types of data. The first acoustic link is a physical channel based on the propagation of sound waves in the air, which uses the sound unit of the transmitting device 200 to establish a near-field communication connection with the microphone of the wearable device. The second radio frequency link is a physical channel based on the propagation of electromagnetic waves, such as Bluetooth, Wi-Fi, or a proprietary 2.4G protocol, used to establish a stable connection between the wearable device 100 and the mobile terminal or other gateway devices. In specific implementation, these two links are completely independent at the physical layer, which means that they can work in parallel, time-division multiplex, or dynamically switch according to the connection status, rather than being simply mutually exclusive. For example, when the user is not wearing the wearable device or has not established radio frequency pairing, the system can still receive critical real-time alerts through the first acoustic link; while when the radio frequency connection is established, the system can automatically route large amounts of second-type data to the second radio frequency link for transmission, while reserving the first acoustic link as a low-latency supplementary channel or redundant backup. Attached Figure Description

[0015] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1This is a flowchart of an interactive control method for a wearable device in one embodiment; Figure 2 A flowchart of an interactive control method for a wearable device in another embodiment; Detailed Implementation

[0017] To facilitate understanding of the present invention, a more complete description will be given below with reference to the accompanying drawings. Preferred embodiments of the invention are shown in the drawings. However, the invention can be implemented in many different forms and is not limited to the embodiments described herein. Rather, these embodiments are provided to provide a thorough and complete understanding of the disclosure of the invention.

[0018] It should be noted that when an element is referred to as being "fixed to" another element, it can be directly attached to the other element or there may be an intervening element. When an element is referred to as being "connected to" another element, it can be directly connected to the other element or there may be an intervening element. The terms "vertical," "horizontal," "left," "right," and similar expressions used herein are for illustrative purposes only and do not represent the only possible implementation.

[0019] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0020] Please see Figures 1 to 2 To better understand the interactive control method of the wearable device in this application, the following further explanation of the interactive control method of the wearable device is provided: This embodiment provides an interactive control method for wearable devices. This method can be applied to wearable devices, mobile terminals or cloud servers that are communicatively connected to the wearable device, or executed collaboratively by the aforementioned devices. This embodiment aims to construct a universal interactive control framework that balances communication efficiency and user experience. The method includes the following steps.

[0021] Specifically, the interactive control method for wearable devices includes the following steps: Step S100: Obtain the data to be interacted with, which includes a first type of data and a second type of data.

[0022] In this embodiment, the data to be interacted with refers to the set of information that needs to be fed back, prompted, or synchronized to the user. In this embodiment, to adapt to different transmission needs and scenario characteristics, the data to be interacted with is logically divided into a first category and a second category. This division is not based on the semantic content of the data (such as text, audio, or video), but rather on the transmission attributes and business priorities of the data. For example, the first category of data typically has a small data payload but extremely high timeliness requirements, such as instant message reminders, emergency alarm signals, or lightweight control commands; while the second category of data typically contains a large amount of information but has relatively relaxed requirements for real-time arrival, such as historical health reports, firmware update packages, complete meeting recordings, or detailed schedule synchronization data. It should be understood that although the background section of this specification mentions text information processing in office scenarios, in the technical solution of this embodiment, the source and form of the data to be interacted with are not limited to specific application scenarios or generation methods. It can be sensor data generated locally by the wearable device, or external data received from a transmitting device or mobile terminal via a network. This attribute-based classification mechanism provides a data foundation for subsequent differentiated transmission strategies.

[0023] Step S200: Receive the first type of data through the first acoustic link and receive the second type of data through the second radio frequency link.

[0024] In this embodiment, a heterogeneous dual-link communication architecture is employed to carry different types of data. The first acoustic link is a physical channel based on the propagation of sound waves in the air, which uses the sound-emitting unit of the transmitting device 200 to establish a near-field communication connection with the microphone of the wearable device. The second radio frequency link is a physical channel based on the propagation of electromagnetic waves, such as Bluetooth, Wi-Fi, or a proprietary 2.4G protocol, used to establish a stable connection between the wearable device 100 and the mobile terminal or other gateway devices. In specific implementations, these two links are completely independent at the physical layer, meaning they can work in parallel, be time-division multiplexed, or dynamically switch according to the connection status, rather than being simply mutually exclusive. For example, when the user is not wearing the wearable device or has not established radio frequency pairing, the system can still receive critical real-time alerts through the first acoustic link; while once the radio frequency connection is established, the system can automatically route large volumes of second-type data to the second radio frequency link for transmission, while reserving the first acoustic link as a low-latency supplementary channel or redundant backup.

[0025] In step S300, a detection signal is emitted through an ultrasonic sensor, and an echo signal generated based on the detection signal is received to identify the sleep state of the target object.

[0026] In this embodiment, this step is performed by a miniature ultrasonic sensor on the wearable device. It is particularly important to emphasize that the ultrasonic sensor here employs an active detection mechanism, actively emitting a specific frequency detection signal towards a target object (such as the user's ear canal wall, neck skin, or facial soft tissue) and receiving the echo signal formed after reflection or scattering by the human tissue. This is fundamentally different from traditional methods that rely solely on a microphone to passively collect ambient sounds or snoring. Active detection can acquire structured echo data containing information about subtle human movements, thus providing a physical basis for accurately identifying sleep states. Furthermore, to avoid signal interference with the first acoustic link in step S200, the frequency band, modulation method, or timing window of the detection signal in this embodiment is strictly spectrally or time-divisionally isolated from the communication signal of the first acoustic link. For example, if the first acoustic link operates in the 18kHz to 22kHz frequency band, the detection signal can be selected to operate in a higher frequency band above 35kHz. This active sensing and spectrum isolation design ensures the independence and accuracy of the sleep monitoring function, making it unaffected by communication services.

[0027] Step S400: Based on the sleep state, dynamically adjust the audio output parameters.

[0028] In this embodiment, the processor calculates and adjusts the audio output parameters of the wearable device in real time based on the real-time sleep state (such as wakefulness, light sleep, deep sleep, or REM sleep) identified in step S300. These audio output parameters include, but are not limited to, cue volume, fade-out rate, sound effect type, or equalizer configuration. "Dynamic adjustment" refers to a continuous process where the adjustment is driven in real time by changes in the user's physiological state, rather than discrete on / off control based on a preset schedule. For example, when the system detects that the user is transitioning from wakefulness to light sleep, it does not immediately mute the system but gradually reduces the cue volume at a relatively gentle rate to avoid abruptly waking the user; conversely, when the system detects that the user is entering deep sleep, it reduces the volume to a very low level or mutes the system at a faster rate to prevent any potential interference from interrupting the deep sleep process. This adaptive adjustment mechanism based on real physiological feedback allows the wearable device to respect and protect the user's natural sleep cycle to the greatest extent possible while ensuring information transmission, achieving a deep integration of technological functionality and humanistic care.

[0029] Through the coordinated execution of steps S100 to S400, this embodiment constructs a complete interactive control method. This method solves the balance between communication efficiency and convenience by using data attribute splitting and dual-link heterogeneous transmission; and it solves the matching problem between state perception accuracy and user experience by using active ultrasound detection and closed-loop audio adjustment. The entire process forms a complete technical closed loop from data acquisition, differentiated transmission, physiological state perception to adaptive feedback, providing solid technical support for the intelligent interaction of wearable devices in complex scenarios.

[0030] In one embodiment, the real-time requirement of the first type of data is higher than a preset real-time threshold and the data volume is lower than a preset data volume threshold, while the data volume of the second type of data is higher than the preset data volume threshold; receiving the first type of data through the first acoustic link and receiving the second type of data through the second radio frequency link includes: receiving the first type of data through the first acoustic link in a pairless state; and receiving the second type of data through the second radio frequency link in a paired connection state.

[0031] In this embodiment, the preset real-time threshold and preset data volume threshold are not fixed constants, but rather dynamic policy parameters that can be configured according to the business scenario. For example, in a typical office interaction scenario, the preset data volume threshold can be set to 2KB, and the preset real-time threshold can be set to 500ms. When the data to be interacted is a text summary containing urgent tasks, its data volume is usually only a few hundred bytes and requires millisecond-level arrival, so it is classified as the first type of data. However, when the data to be interacted is a complete meeting minutes document or a historical sleep analysis report, its data volume often reaches tens of KB or even MB, but its sensitivity to arrival time is low, allowing for transmission delays of seconds or even minutes, so it is classified as the second type of data. Through this quantitative standard definition, the system can automatically identify the business priority of the data, thereby providing an accurate decision-making basis for subsequent link selection and avoiding resource mismatch problems that may be caused by classifying data solely based on data type (such as text or audio).

[0032] Furthermore, the unpaired state refers to a state where no handshake authentication radio frequency connection (such as Bluetooth or Wi-Fi) has been established between the wearable device and the transmitting device, or where the radio frequency connection is temporarily disconnected due to excessive distance or signal obstruction. In this state, traditional radio frequency communication is completely ineffective. However, this invention utilizes the broadcast characteristics of the first acoustic link to still deliver critical first-type data (such as emergency alerts) to the user without loss, ensuring the basic availability of the interactive system. Conversely, in the paired connection state, the system prioritizes the high bandwidth and high stability of the second radio frequency link to carry second-type data, ensuring the efficiency and integrity of large-scale data synchronization. It should be understood that these two states are not absolutely mutually exclusive. In some preferred embodiments, even in the paired connection state, the system can still retain the first acoustic link as a low-latency redundant channel for transmitting control commands that are extremely sensitive to latency, thereby achieving parallel enhancement of the two links rather than a simple switching replacement.

[0033] In another embodiment, a high-frequency sound wave signal with a frequency between 18kHz and 22kHz is emitted by the speaker of the transmitting device. This high-frequency sound wave signal carries the first type of data. The microphone of the wearable device receives the high-frequency sound wave signal and decodes it to obtain the first type of data. The specific frequency band of 18kHz to 22kHz is chosen based on a balance between human hearing characteristics and general hardware performance. From a physiological perspective, most adults experience a sharp decline in their ability to perceive sounds above 18kHz. Using this frequency band as a communication carrier can achieve "near-field covert transmission," avoiding auditory interference from prompts. If the frequency is below 18kHz, it is easily detected by users and can cause annoyance, especially for hearing-sensitive teenagers. From a hardware compatibility perspective, the effective frequency response range of speakers and microphones in mainstream commercial laptops, tablets, and smartphones typically covers around 22kHz. Existing audio devices can be reused without the need for customized dedicated ultrasonic transducers, which significantly reduces the hardware cost and integration difficulty of the wearable device 100 and the transmitting device 200. While frequencies exceeding 22kHz offer better concealment, they significantly reduce the transmission and reception efficiency of ordinary consumer-grade devices, increase the bit error rate, and ultimately compromise communication reliability.

[0034] In one embodiment, the step of emitting a detection signal via an ultrasonic sensor and receiving an echo signal generated based on the detection signal to identify the sleep state of a target object includes: extracting physiological characteristics of the target object based on the echo signal; and dividing the sleep state into multiple sleep stages based on the physiological characteristics. In this embodiment, the miniature ultrasonic sensor of the wearable device continuously emits a fixed-frequency detection signal, receives the echo signal reflected by the soft tissue of the human body, and performs filtering, noise reduction, phase analysis, and Doppler feature extraction processing on the echo signal to separate multi-dimensional physiological characteristics such as respiratory rate, heart rate micro-vibrations, limb movement amplitude, and snoring waveform. Relying on a pre-set AI classification model and sleep determination rules, combined with multi-dimensional physiological characteristics, the user's sleep state is finely divided into four stages: wakefulness, light sleep, deep sleep, and REM sleep. At the same time, the sleep stage results and raw physiological data are output in real time, providing a basis for subsequent dynamic adjustment of audio parameters.

[0035] In this embodiment, the ultrasonic detection signal uses a high frequency band of 35kHz and above, which is spectrally isolated from the 18kHz~22kHz communication frequency band of the first acoustic link. The two signal links have no overlapping spectrum, which eliminates crosstalk problems from a physical level and ensures that data communication and sleep monitoring operate synchronously and stably.

[0036] This embodiment employs a composite extraction strategy combining Doppler effect analysis and phase change analysis. Specifically, the chest or neck undulations caused by respiratory movements are relatively large (typically on the millimeter level), and the resulting echo frequency shift is mainly manifested as a significant Doppler frequency shift. By performing short-time Fourier transform or continuous wavelet transform on the echo signal, the respiratory rate and its regularity can be accurately calculated. In contrast, the micro-vibrations on the body surface caused by heartbeats are extremely small (typically on the micrometer level), and their energy is often submerged in the side lobes of the respiratory signal. In this case, it is difficult to distinguish them using only frequency domain analysis. Therefore, phase change analysis technology is introduced to invert the heartbeat cycle by tracking the minute drift of the echo signal phase. This dual demodulation mechanism of "macro-frequency shift + micro-phase" enables the miniature ultrasonic sensor 140 to simultaneously separate the two key physiological signs of respiration and heartbeat from a single echo stream, achieving multi-dimensional sensing with a single sensor. It should be understood that although this embodiment preferably uses the 35kHz to 45kHz frequency band and Doppler / phase joint analysis, in other embodiments, if the hardware performance allows or the application scenario changes, the detection signal frequency band can also be adjusted to above 25kHz or other ultrasonic frequency bands, and the feature extraction algorithm can also use alternative means such as envelope detection and autocorrelation analysis. As long as it can achieve the purpose of resolving physiological signs from the echo and using them for sleep staging, it is within the protection scope of this invention.

[0037] In another embodiment, the step of dynamically adjusting the audio output parameters based on the sleep state includes: when the target object is identified as being awake, maintaining the default prompt volume, standard fade-out rate, and regular sound effects of the wearable device; when the target object is identified as being in a light sleep state, gradually reducing the audio prompt volume at a first preset rate, using soothing sound effects, and slowing down the pace of volume change; when the target object is identified as being in a deep sleep state or REM sleep, performing a smooth audio fade-out at a second preset rate until the volume drops to a silence threshold or is completely muted; wherein the second preset rate is greater than the first preset rate.

[0038] Furthermore, the system supports user-defined configuration of audio output parameters, including prompt volume levels, multi-level fade-out rates, mute thresholds, and sound effect types, which can be flexibly adapted to individual usage habits and scenarios. Audio adjustment is a continuous, gradual process, rather than an on / off switch control, avoiding sudden volume changes that might wake the user and improving user comfort.

[0039] In a preferred embodiment, the method further includes a data synchronization and storage step: the wearable device synchronizes the received second type of data, real-time physiological sign data, and sleep stage results to the mobile terminal via a second radio frequency link; the mobile terminal summarizes and analyzes the data, automatically generates historical data reports and sleep analysis reports, and supports file export, local storage, and cloud backup.

[0040] In one embodiment, receiving the first type of data via the first acoustic link includes: The transmitting device emits a high-frequency acoustic signal between 18kHz and 22kHz, carrying the first type of data. The wearable device receives the high-frequency acoustic signal using its microphone and decodes it to obtain the first type of data. In this embodiment, the first acoustic link operates in the high-frequency band at the edge of human hearing. This allows for the reuse of common speaker and microphone hardware from existing smartphones, computers, and other devices, eliminating the need for custom-designed communication modules and avoiding significant auditory interference for most users, thus achieving a balance between functional usability and user experience. Furthermore, the acoustic communication-based first acoustic link does not require a pre-pairing handshake process. Data transmission can be completed directly as long as the transmitting device and the wearable device are within the near-field range, significantly simplifying the triggering process for emergency information alerts and avoiding the problem of critical information not being delivered in a timely manner due to unpaired or disconnected connections, as is common in traditional RF connections. Simultaneously, this solution has extremely low power consumption requirements for the wearable device; signal reception can be completed simply by turning on the microphone, without significantly increasing the device's battery life. This makes it ideal for miniaturized in-ear and neckband wearable devices.

[0041] Furthermore, the choice of the specific frequency band of 18kHz to 22kHz is based on a balance between human auditory characteristics and general hardware performance. From a physiological perspective, most adults experience a sharp decline in their ability to perceive sounds above 18kHz. Using this frequency band as a communication carrier allows for "near-field covert transmission," avoiding auditory interference from prompts. If the frequency is below 18kHz, it is easily detected by users and can cause annoyance, especially for hearing-sensitive teenagers. From a hardware compatibility perspective, the effective frequency response range of speakers and microphones in mainstream commercial laptops, tablets, and smartphones typically covers around 22kHz. Existing audio components can be reused without the need for customized ultrasonic transducers, significantly reducing the hardware cost and integration difficulty of the wearable device 100 and the transmitting device 200. If the frequency exceeds 22kHz, although the covertness is better, it will lead to a significant decrease in the transmission efficiency of ordinary consumer-grade devices and an increase in the bit error rate, which would ultimately compromise the reliability of communication.

[0042] Furthermore, the choice of this frequency band also endows the first acoustic link with inherent environmental interference resistance. In typical application scenarios such as daily office and home use, environmental noise energy is mainly concentrated in the low-to-mid frequency band below 2kHz (such as human voices, air conditioner noise, and traffic noise), while the high-frequency band from 18kHz to 22kHz is relatively "clean," with a signal-to-noise ratio much higher than that of the audible sound band. This means that even in noisy environments, the microphone 130 of the wearable device 100 can clearly capture high-frequency sound wave signals from the transmitting device 200 with low transmission power, ensuring the accuracy of data transmission and further reducing power consumption. In specific implementations, to improve the transmission rate and robustness within this frequency band, modulation techniques such as Orthogonal Frequency Division Multiplexing (OFDM) or Chirp can be used to encode the first type of data into a waveform structure with strong resistance to multipath effects and Doppler frequency shift. Through the above design, this embodiment not only achieves instant information delivery in pairing-free scenarios but also ensures the engineering feasibility of this function in real and complex environments and a seamless user experience through the refined selection of the physical layer.

[0043] In one embodiment, the second radio frequency link is a Bluetooth Low Energy (BLE) link; receiving the second type of data through the second radio frequency link includes: receiving the second type of data sent by the terminal device through the BLE link, wherein the second type of data includes at least one of sleep monitoring data, structured text data, and control command data. In this embodiment, the BLE link is chosen as the specific protocol for the second radio frequency link based on a comprehensive consideration of the power consumption constraints and ecosystem compatibility of the wearable device. While maintaining a communication distance comparable to classic Bluetooth, the BLE protocol's peak power consumption is only one-tenth to one-hundredth of that of classic Bluetooth, which is crucial for wearable devices with limited battery capacity. Furthermore, the BLE protocol is natively supported by mainstream mobile operating systems, allowing wearable devices to establish stable radio frequency connections with various mobile terminals without additional driver adaptation, significantly lowering the market promotion threshold for the product. The second type of data is specifically defined as at least one of sleep monitoring data, structured text data, and control command data. Among them, sleep monitoring data refers to sleep reports generated by the ultrasound monitoring module of wearable devices after in-depth analysis by mobile terminals or cloud servers. These reports include sleep stage statistics, respiratory rate trends, heart rate variability indicators, etc. The data size is usually between tens of KB and hundreds of KB, which is suitable for batch synchronization via BLE links. Structured text data refers to formatted documents such as meeting minutes, to-do lists, or email summaries extracted by computer-side information processing modules. Although compressed, these documents still contain rich semantic information, and the data size is usually between tens of KB and several KB. Control command data refers to configuration parameters or operation commands generated by applications on mobile terminals, such as personalized fade-out rate settings, communication frequency band switching commands, or fragmented data of firmware upgrade packages. By unifying the above three types of data into the carrying range of the second radio frequency link, this embodiment realizes a differentiated transmission strategy of "acoustic link for instant delivery and BLE link for deep synchronization". This allows wearable devices to receive key reminders through the first acoustic link even in a pairing-free state. After the BLE connection is established, the accumulated large amount of data is automatically transmitted back in batches through a low-power channel, thereby maximizing the utilization efficiency of communication resources while ensuring user experience.

[0044] Further, the acquisition of the data to be interacted with includes: S101 optimizing and parsing the client's text information to obtain the interactive data. In this embodiment, the original client text information usually contains redundant formatting, redundant expressions, or excessively long irrelevant extended content. Direct transmission would waste communication bandwidth and increase the processing burden on wearable devices. S101, optimizing and parsing the client text information, focuses on extracting core information and compressing redundant content based on the business scenario. For example, for meeting minutes, it automatically extracts the time, location, core resolutions, and to-do items, and deletes invalid interjections, redundant discussion processes, and format marks; for email content, it automatically extracts the core requests and key information, omitting lengthy greetings and cited historical content. Through such parsing processing, the original large text is compressed into concise content with smaller volume and more prominent core information. This ensures that core information is not lost during the transmission of the first type of data, effectively controls the volume of the first type of data, adapts to the transmission characteristics of the first acoustic link, and also lays a foundation for subsequent data classification and link selection.

[0045] Furthermore, the optimized parsing of the client text information includes: keyword extraction from the text information; and priority classification of the text information. In this embodiment, through preset keyword matching rules and priority determination models, high-priority text containing urgent reminders, to-do deadlines, important notices, etc., can be quickly identified. Its core information is prioritized and classified as first-category data for transmission via an acoustic link. Low-priority content such as non-urgent information and archived documents is classified as second-category data and synchronized via a radio frequency link. This further enhances the instant delivery capability of core information, prevents low-priority content from occupying high-priority transmission channels, and improves the response efficiency and information transmission accuracy of the entire interactive system.

[0046] In one embodiment, the sleep state is divided into multiple sleep stages based on the physiological characteristics; this is followed by: extracting and analyzing the sleep stages to obtain a sleep report. In this embodiment, the wearable device summarizes the duration percentage of each sleep stage, the average respiratory rate, and the nighttime heart rate fluctuation range, etc., and generates a structured sleep report based on preset health assessment standards. The report clearly summarizes the user's sleep quality for the day, marks existing sleep problems such as insufficient deep sleep percentage and sleep apnea risk, and provides corresponding improvement suggestions. This report is classified as second-category data by default and is automatically synchronized after the wearable device and the terminal establish a second radio frequency link connection, without occupying the resources of the first acoustic link, thus ensuring complete data storage without causing additional disturbance to the user. Furthermore, the sleep report is fed back to the terminal device via the second radio frequency link.

[0047] In one embodiment, the terminal may be a smartphone, tablet, laptop, or desktop computer with a corresponding application installed, or it may be a smart speaker, smart home control system, or other device that integrates corresponding interactive functions to adapt to different usage scenarios.

[0048] This application also includes a wearable device interaction control system, comprising the wearable device interaction control method described in any of the above embodiments. It is understood that this system and the above method are based on the same inventive concept, capable of achieving all the technical effects brought about by the method and solving the same technical problems. The system includes at least a data transceiver module, a state recognition module, and a parameter adjustment module. The data transceiver module is responsible for maintaining the connection between the first acoustic link and the second radio frequency link, and completing the adaptation and transmission of different links according to data priority. The state recognition module is responsible for acquiring echo signals through an ultrasonic sensor, extracting physiological characteristics, and completing sleep stage identification. The parameter adjustment module dynamically adjusts the audio output parameters according to preset rules based on the identified sleep state. The collaborative work of these modules enables the realization of the low-interference, high-reliability wearable device interaction control logic proposed in this invention.

[0049] This application also includes a computer-readable storage medium on which a computer program is stored. When executed by the processor, the computer program provides the steps of the methods described above. Specifically, the computer-readable storage medium can be any tangible medium that contains or stores a program, which can be used or combined with an instruction execution system, apparatus, or device. In this embodiment, the computer-readable storage medium may specifically include non-volatile storage media such as read-only memory (ROM), random access memory (RAM), or optical discs, magnetic disks, etc.

[0050] Compared with the prior art, the present invention has at least the following advantages: 1. Data to be interacted with refers to a set of information that needs to be fed back, prompted, or synchronized to the user. In this embodiment, to adapt to different transmission needs and scenario characteristics, the data to be interacted with is logically divided into a first category and a second category. This division is not based on the semantic content of the data (such as text, audio, or video), but on the transmission attributes and business priorities of the data. For example, the first category of data usually has a small data payload but has extremely high timeliness requirements, such as instant message reminders, emergency alarm signals, or lightweight control commands; while the second category of data usually contains a large amount of information but has relatively relaxed requirements for real-time arrival, such as historical health reports, firmware update packages, complete meeting recordings, or detailed schedule synchronization data. It should be understood that although the background section of this specification mentions text information processing in office scenarios, in the technical solution of this embodiment, the source and form of the data to be interacted with are not limited to specific application scenarios or generation methods. It can be sensor data generated locally by the wearable device, or external data received from the transmitting device or mobile terminal through the network. This attribute-based classification mechanism provides a data foundation for subsequent differentiated transmission strategies.

[0051] 2. A heterogeneous dual-link communication architecture is adopted to carry different types of data. The first acoustic link is a physical channel based on the propagation of sound waves in the air, which uses the sound unit of the transmitting device 200 to establish a near-field communication connection with the microphone of the wearable device. The second radio frequency link is a physical channel based on the propagation of electromagnetic waves, such as Bluetooth, Wi-Fi, or a proprietary 2.4G protocol, used to establish a stable connection between the wearable device 100 and the mobile terminal or other gateway devices. In specific implementation, these two links are completely independent at the physical layer, which means that they can work in parallel, time-division multiplex, or dynamically switch according to the connection status, rather than being simply mutually exclusive. For example, when the user is not wearing the wearable device or has not established radio frequency pairing, the system can still receive critical real-time alerts through the first acoustic link; while when the radio frequency connection is established, the system can automatically route large amounts of second-type data to the second radio frequency link for transmission, while reserving the first acoustic link as a low-latency supplementary channel or redundant backup.

[0052] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these all fall within the protection scope of the present invention. Therefore, the protection scope of this invention patent should be determined by the appended claims.

Claims

1. An interactive control method for a wearable device, characterized in that, include: Acquire the data to be interacted with, which includes a first type of data and a second type of data; The first type of data is received through a first acoustic link, and the second type of data is received through a second radio frequency link; The sleep state of the target object is identified by emitting a detection signal through an ultrasonic sensor and receiving an echo signal generated based on the detection signal. Based on the sleep state, the audio output parameters are dynamically adjusted.

2. The interactive control method for wearable devices according to claim 1, characterized in that, The real-time requirement of the first type of data is higher than the preset real-time threshold and the data volume is lower than the preset data volume threshold, while the data volume of the second type of data is higher than the preset data volume threshold. The step of receiving the first type of data through the first acoustic link and receiving the second type of data through the second radio frequency link includes: In a pair-free state, the first type of data is received via the first acoustic link; In the paired connection state, the second type of data is received through the second radio frequency link.

3. The interactive control method for wearable devices according to claim 2, characterized in that, The method of emitting a detection signal via an ultrasonic sensor and receiving an echo signal generated based on the detection signal to identify the sleep state of the target object includes: Based on the echo signal, the physiological characteristics of the target object are extracted; Based on the aforementioned physiological characteristics, the sleep state is divided into multiple sleep stages.

4. The interactive control method for wearable devices according to claim 1, characterized in that, Receiving the first type of data via the first acoustic link includes: The high-frequency acoustic signal emitted by the loudspeaker of the transmitting device is between 18kHz and 22kHz, and the high-frequency acoustic signal carries the first type of data. The wearable device uses its microphone to receive the high-frequency sound wave signal and decodes the high-frequency sound wave signal to obtain the first type of data.

5. The interactive control method for a wearable device according to claim 1, characterized in that, The second radio frequency link is a Bluetooth Low Energy (BLE) link; Receiving the second type of data via the second radio frequency link includes: The second type of data is received from the terminal device via the BLE link. The second type of data includes at least one of sleep monitoring data, structured text data, and control command data.

6. The interactive control method for a wearable device according to claim 1, characterized in that, The process of obtaining the data to be interacted with includes: The client text information is optimized and parsed to obtain the interaction data.

7. The interactive control method for a wearable device according to claim 1, characterized in that, The optimized parsing of the client text information includes, prior to: Keyword extraction is performed on the text information; The text information is prioritized and categorized.

8. The interactive control method for a wearable device according to claim 1, characterized in that, Based on the aforementioned physiological characteristics, the sleep state is divided into multiple sleep stages; subsequently, it also includes: The sleep stages are extracted and analyzed to obtain a sleep report.

9. A wearable device interactive control system, characterized in that, The interactive control method for the wearable device included in any one of claims 1 to 8.

10. A computer-readable storage medium storing a computer program thereon, characterized in that, When the computer program is executed by a computer, it implements the interactive control method of the wearable device according to any one of claims 1 to 8.

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