Wearable device, control method and control device thereof and storage medium

Abstract

The invention relates to the technical field of wearable devices, and provides a wearable device, a control method thereof, a control device and a storage medium, and the method comprises the steps: obtaining a target image shot by the wearable device; extracting feature data of the target image based on a preset feature extraction algorithm; sending the feature data to a target device, so that the target device determines target data according to the feature data; and obtaining target data from the target equipment, and executing the preset task according to the target data. According to the method, the feature data with relatively small data volume extracted from the target image is sent to the target equipment, so that the bandwidth pressure of data transmission between the wearable equipment and the target equipment can be effectively reduced; the target device determines the target data according to the feature data, and the AI calculation capability can be placed on the target device or a server, so that the calculation power demand pressure of the wearable device is greatly reduced; the power consumption of the wearable device can be reduced, and the standby time of the wearable device can be prolonged.

Description

Technical Field

[0001] The present application relates to the technical field of wearable devices, and in particular to a wearable device and a control method, a control device and a storage medium thereof. Background Art

[0002] At present, wearable devices are widely used in the field of entertainment and audio-visual, including virtual reality (VR) glasses, augmented reality (AR) glasses, etc. The battery of wearable devices is limited by size and weight and has less power. However, after the introduction of camera-related AI algorithms in wearable devices such as AR glasses and VR glasses, the system power consumption is challenged and the standby time of wearable devices is reduced. Summary of the invention

[0003] The main purpose of the present application is to provide a wearable device and a control method, a control device and a storage medium thereof, aiming to reduce the power consumption of the wearable device and increase the standby time of the wearable device.

[0004] In a first aspect, the present application provides a control method for a wearable device, which is used for the wearable device, and the method comprises:

[0005] Acquire a target image captured by the wearable device;

[0006] Extracting feature data of the target image based on a preset feature extraction algorithm;

[0007] Sending the characteristic data to a target device so that the target device determines target data according to the characteristic data;

[0008] The target data is obtained from the target device, and a preset task is executed according to the target data.

[0009] In a second aspect, the present application further provides a control device for a wearable device, the control device comprising:

[0010] An image acquisition module, used to acquire a target image captured by the wearable device;

[0011] A feature extraction module, used to extract feature data of the target image based on a preset feature extraction algorithm;

[0012] A data sending module, used for sending the characteristic data to a target device, so that the target device determines the target data according to the characteristic data;

[0013] The data acquisition module is used to acquire the target data from the target device and execute a preset task according to the target data.

[0014] In a third aspect, the present application also provides a wearable device, including a memory and a processor;

[0015] The memory is used to store computer programs;

[0016] The processor is used to execute the computer program and implement the steps of the aforementioned wearable device control method when executing the computer program.

[0017] In a fourth aspect, the present application also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the processor implements: the steps of the aforementioned wearable device control method.

[0018] The present application provides a wearable device and its control method, control device and storage medium. The control method includes: obtaining a target image taken by the wearable device; extracting feature data of the target image based on a preset feature extraction algorithm; sending the feature data to a target device so that the target device determines target data according to the feature data; obtaining the target data from the target device and performing a preset task according to the target data. By sending feature data with a small amount of data extracted from the target image to the target device, the bandwidth pressure of data transmission between the wearable device and the target device can be effectively reduced; the target device determines the target data according to the feature data, and the AI ​​computing capability can be placed on the target device or server, thereby greatly reducing the computing power demand pressure of the wearable device; the power consumption of the wearable device can be reduced and the standby time of the wearable device can be increased. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0020] Figure 1 is a flow chart of a control method for a wearable device provided in an embodiment of the present application;

[0021] Figure 2 is a schematic block diagram of a wearable device in one embodiment of the present application;

[0022] Figure 3 is a schematic block diagram of a control device for a wearable device provided in an embodiment of the present application;

[0023] Figure 4 It is a schematic block diagram of the structure of a wearable device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0024] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0025] The flowcharts shown in the accompanying drawings are only examples and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may also be decomposed, combined or partially merged, so the actual execution order may change according to actual conditions.

[0026] The embodiment of the present application provides a wearable device and a control method, a control device and a storage medium thereof. The control method of the wearable device can be applied to the wearable device.

[0027] Exemplarily, wearable devices may include head-mounted display devices such as virtual reality (VR) glasses, augmented reality (AR) glasses, VR helmets or AR helmets, but are certainly not limited to these. For example, wearable devices may also include shoulder-mounted devices, etc., which are not limited here.

[0028] In conjunction with the accompanying drawings, some embodiments of the present application are described in detail below. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0029] See also Figure 1 , Figure 1 1 is a flow chart of a control method for a wearable device provided in an embodiment of the present application. It should be noted that the control method for a wearable device provided in an embodiment of the present application can be used for a wearable device. For ease of explanation, the embodiment of the present application is mainly described by taking the wearable device as VR glasses as an example.

[0030] like Figure 1 As shown, the control method of the wearable device includes steps S110 to S140.

[0031] Step S110: Acquire a target image captured by the wearable device.

[0032] See also Figure 2 The wearable device includes a shooting module and a processor, and the processor can obtain the target image shot by the shooting module.

[0033] In some embodiments, the processor can acquire the target image captured by the capturing module based on preset program instructions, or can acquire the target image captured by the capturing module according to the control operation of the user on the wearable device.

[0034] In other embodiments, Figure 2 As shown, the wearable device can communicate with the target device, and the processor can obtain the target image captured by the shooting module when receiving the corresponding instruction of the target device.

[0035] For example, the target image may include at least one of the following target objects: hands, faces, plants, animals, etc., but is certainly not limited thereto, and may also include objects such as cups, books, and electronic devices.

[0036] Step S120: extracting feature data of the target image based on a preset feature extraction algorithm.

[0037] The processor of the wearable device is used to extract feature data of the target image based on a preset feature extraction algorithm. Optionally, the processor is an artificial intelligence (AI) processor, such as an MCU (Microcontroller Unit) processor with integrated AI function.

[0038] Specifically, the data volume of the feature data is smaller than the data volume of the target image.

[0039] In some embodiments, the feature data of the target image may include one or more of the following: color features, color histograms, shape features, texture features, edge features, but are certainly not limited thereto.

[0040] Exemplarily, the feature data of the target image may include processing threshold data. For example, the processor may use the OpenCV defect detection algorithm to divide the target image into ROI regions (region of interest) to obtain an ROI region image, and perform smoothing, image binarization, and edge detection processing on the ROI region image to obtain the processing threshold data.

[0041] Step S130: Send the characteristic data to the target device, so that the target device determines the target data according to the characteristic data.

[0042] In some embodiments, Figure 2As shown, the wearable device includes a processor and a communication module, wherein the processor is used to extract feature data of the target image based on a preset feature extraction algorithm, and to transmit data with the target device through the communication module; the processor can send the feature data to the target device through the communication module.

[0043] For example, the target device includes but is not limited to at least one of the following: a mobile phone, a tablet computer, a laptop computer, a desktop computer, a mobile workstation, and a smart TV.

[0044] In some embodiments, the target device may determine the target data based on the feature data based on its own AI algorithm, and the AI ​​algorithm may include at least one of the following: gesture recognition algorithm, face recognition algorithm, object recognition algorithm. In other embodiments, the target device may send the feature data to a server and obtain the target data determined by the server based on the feature data. The server may be an independent server or a server cluster.

[0045] The processor preprocesses the target image to obtain feature data with a relatively small data volume. When the feature data is sent to the target device through the communication module, the load of the communication module is relatively low, which can effectively reduce the bandwidth pressure of data transmission and ensure that the feature data is quickly transmitted to the target device. The bandwidth requirement for data transmission of the communication module is relatively low, and the feature data can be quickly transmitted to the target device through a communication module with low performance, which can effectively reduce the system power consumption of the wearable device.

[0046] Exemplarily, the communication module includes a classic Bluetooth module or a Bluetooth Low Energy (BLE) module, wherein the classic Bluetooth module generally refers to a module supporting Bluetooth protocols below 4.0, which can be further divided into a traditional Bluetooth module and a high-speed Bluetooth module.

[0047] For example, the classic Bluetooth module or the low-power Bluetooth module is connected to the processor through an SPI interface (Serial Peripheral Interface) or a UART (Universal Asynchronous Receiver / Transmitter) serial port.

[0048] In some implementations, the target data includes a recognition result of the target image, such as a gesture corresponding to a hand region image in the target image. Exemplarily, the target device obtains the target data based on a gesture recognition algorithm and recognition of feature data of the target image.

[0049] In other embodiments, the target device may also determine a corresponding control instruction based on the recognition result of the target image; for example, when the recognized gesture is a gesture representing determination, the control instruction is a determination instruction; when the recognized gesture is a gesture representing object grabbing, the control instruction is an instruction for grabbing the virtual object displayed by the VR glasses; when the recognized gesture is a gesture representing hitting an object, the control instruction is an instruction for hitting the virtual object displayed by the VR glasses.

[0050] In some embodiments, Figure 2 As shown, the wearable device also includes a sensor, and the sensor is connected to the processor. The sensor includes but is not limited to a posture sensor capable of detecting the posture of the wearable device, such as an inertial measurement unit (IMU). The processor can also be responsible for collecting sensor data and calculating related algorithms, such as adjusting the posture of the virtual object displayed by the VR glasses according to the posture of the wearable device detected by the posture sensor.

[0051] Exemplarily, the processor may also send the sensor data to the target device through the communication module, and the target device may determine the corresponding control instruction according to the recognition result of the target image and the sensor data. For example, when the recognition result of the target image is the same, the corresponding control instruction may be different when the posture of the wearable device is different, which can improve the flexibility and intelligence of the control of the wearable device.

[0052] Step S140: Acquire the target data from the target device, and execute a preset task according to the target data.

[0053] In some embodiments, obtaining the target data from the target device and executing the preset task according to the target data include at least one of the following: when the target data includes a target recognition result corresponding to the target image, displaying the target recognition result; when the target data includes a target recognition result corresponding to the target image, determining a corresponding task instruction according to the target recognition result, and executing the corresponding preset task according to the task instruction; when the target data includes a task instruction corresponding to the target image, executing the corresponding preset task according to the task instruction.

[0054] For example, by displaying the target recognition result, the user can understand the type or attribute of the object in the target image, for example, intelligent recognition of the object can be achieved.

[0055] For example, when the target data includes task instructions determined by the target device, the corresponding preset tasks can be executed, such as executing human-computer interaction tasks. Optionally, the display interface can be switched, display parameters can be adjusted, shooting parameters can be adjusted, and headphone volume can be adjusted. Of course, it is not limited to this. For example, when the control instruction is an instruction to grab virtual items displayed by VR glasses, special effects of grabbing virtual items displayed by VR glasses can be displayed.

[0056] Exemplarily, the wearable device may determine the corresponding control instruction according to the recognition result of the target image, and execute the corresponding preset task according to the control instruction; for example, the processor of the wearable device may determine the corresponding control instruction according to the recognition result of the target image and the sensor data. Optionally, when executing the corresponding preset task, the target recognition result may also be displayed to facilitate the user to judge whether the target recognition result is accurate and whether the preset task executed by the wearable device matches the target recognition result.

[0057] This embodiment sends feature data with a small amount of data extracted from the target image to the target device, and the target device determines the target data based on the feature data. This can put the AI ​​computing capability on the target device or server, thereby greatly reducing the computing power demand pressure of the wearable device. Optionally, the processor of the wearable device can choose a low-power chip solution with lower computing power performance to reduce the power consumption of the wearable device, which can effectively increase the standby time of the wearable device. The system solution of the wearable device constructed by combining a low-power processor and a low-power communication module can significantly reduce the power consumption of the wearable device and increase the standby time of the wearable device.

[0058] The computing power of the target device or server is usually stronger than that of wearable devices, and can support larger-scale and more accurate AI models. Without increasing the system power consumption and algorithm requirements of wearable devices, the intelligence of wearable devices such as AR glasses and VR glasses can be effectively enhanced, making AR glasses an all-weather smart assistant.

[0059] In some embodiments, the communication module switches to a dormant state when the dormancy condition is met, which can reduce the power consumption of the wearable device and increase the standby time of the wearable device. Exemplarily, the method further includes: when the communication module does not perform data transmission for a preset time, controlling the communication module to switch to a dormant state. For example, the communication module automatically switches to a dormant state when the time period without data transmission reaches a preset time period; or the processor controls the communication module to switch to a dormant state when the communication module does not perform data transmission for a preset time period.

[0060] Exemplarily, the method further includes: when a preset wake-up voice command is detected and the communication module is in a sleep state, controlling the communication module to switch to a transmission state, and the communication module can perform data transmission with the target device in the transmission state.

[0061] For example, see Figure 2 The wearable device also includes a microphone, which is connected to the processor. The processor can obtain the audio information collected by the microphone and determine whether a preset wake-up instruction is detected based on the audio information. The communication module is usually in a dormant state, and only the voice wake-up function of the processor is retained. When the processor recognizes a preset wake-up instruction, such as a wake-up keyword, the communication module is awakened to transmit data with the target device through the communication module to provide services for users.

[0062] For example, a low-power processor can identify offline whether audio information includes a wake-up keyword. Even if the processor keeps working all the time (such as in always on mode) to identify offline whether the audio information includes a wake-up keyword, the wearable device can be guaranteed to have a longer standby time.

[0063] Optionally, the processor can also recognize at least one instruction other than the preset wake-up voice instruction based on the audio information, such as an instruction to switch the display interface, an instruction to adjust the display parameters, an instruction to adjust the shooting parameters, an instruction to adjust the headphone volume, a confirmation instruction, an instruction to grab virtual items displayed by the VR glasses, etc., of course, but not limited to this.

[0064] In some implementations, acquiring the target image captured by the wearable device includes: when a shooting instruction is obtained from the target device, turning on a shooting module on the wearable device; and acquiring the target image captured by the shooting module.

[0065] The target image refers to an image that needs to extract feature data locally on the wearable device before sending it to the target device. When the target device runs a preset program, it can send a shooting instruction to the wearable device, obtain the feature data extracted by the wearable device, determine the target data based on the feature data, and send the target data to the wearable device; the target device and the wearable device can work together to control the wearable device.

[0066] When the shooting module is not needed, turn off the shooting module to reduce the power consumption of the wearable device. When the AI ​​algorithm of the target device needs to use the shooting function of the shooting module, control the processor on the wearable device to turn on the shooting module through the shooting command.

[0067] In some embodiments, both the shooting module and the communication module are in a dormant state, and only the voice wake-up function of the processor can be retained. When a preset wake-up instruction is detected based on the audio information of the microphone, the communication module is woken up; when the AI ​​algorithm of the target device needs to use the shooting function of the shooting module, the shooting instruction is sent to the processor on the wearable device through the communication module, and the processor turns on the shooting module according to the shooting instruction. The processor obtains the target image taken by the shooting module and extracts the feature data and sends it to the target device; so that the target device determines the target data based on the feature data, the processor obtains the target data from the target device through the communication module, and performs the preset task according to the target data.

[0068] The control method of the wearable device provided in the embodiment of the present application includes: obtaining a target image taken by the wearable device; extracting feature data of the target image based on a preset feature extraction algorithm; sending the feature data to the target device so that the target device determines the target data according to the feature data; obtaining the target data from the target device and performing a preset task according to the target data. By sending feature data with a small amount of data extracted from the target image to the target device, the bandwidth pressure of data transmission between the wearable device and the target device can be effectively reduced; the target device determines the target data according to the feature data, and the AI ​​computing capability can be placed on the target device or server, thereby greatly reducing the computing power demand pressure of the wearable device; the power consumption of the wearable device can be reduced and the standby time of the wearable device can be increased.

[0069] Please refer to the above examples. Figure 3 , Figure 3 1 is a schematic block diagram of a control device for a wearable device provided in an embodiment of the present application. The control device for a wearable device is configured in the wearable device and is used to execute the steps of the control method for the wearable device described above.

[0070] like Figure 3 As shown, the control device of the wearable device includes:

[0071] An image acquisition module 110 is used to acquire a target image captured by the wearable device;

[0072] A feature extraction module 120, used to extract feature data of the target image based on a preset feature extraction algorithm;

[0073] A data sending module 130, configured to send the characteristic data to a target device, so that the target device determines target data according to the characteristic data;

[0074] The data acquisition module 140 is used to acquire the target data from the target device and execute a preset task according to the target data.

[0075] Exemplarily, the wearable device includes a processor and a communication module, wherein the processor is used to extract feature data of the target image based on a preset feature extraction algorithm, and to transmit data with the target device through the communication module. For example, the image acquisition module 110, the feature extraction module 120, the data transmission module 130, and the data acquisition module 140 are modules configured by the processor.

[0076] Optionally, the communication module includes a classic Bluetooth module or a low-power Bluetooth module.

[0077] Optionally, the communication module switches to a sleep state when a sleep condition is met, and the control device further includes:

[0078] The wake-up module is used to control the communication module to switch to a transmission state when a preset wake-up voice command is detected and the communication module is in a dormant state. The communication module can perform data transmission with the target device in the transmission state.

[0079] Optionally, the control device further includes:

[0080] The sleep module is used to control the communication module to switch to a sleep state when the communication module does not perform data transmission for a preset period of time.

[0081] In some embodiments, the image acquisition module 110 includes:

[0082] An enabling submodule, configured to enable a shooting module on the wearable device when a shooting instruction is obtained from the target device;

[0083] The acquisition submodule is used to acquire the target image captured by the capturing module.

[0084] In some implementations, the data acquisition module 140 includes at least one of the following:

[0085] A first task submodule, configured to display a target recognition result when the target data includes a target recognition result corresponding to the target image;

[0086] A second task submodule, for determining a corresponding task instruction according to the target recognition result when the target data includes a target recognition result corresponding to the target image, and performing a corresponding preset task according to the task instruction;

[0087] The third task submodule is used to execute a corresponding preset task according to the task instruction when the target data includes a task instruction corresponding to the target image.

[0088] It should be noted that technicians in the relevant field can clearly understand that for the convenience and simplicity of description, the specific working processes of the above-described devices and modules and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0089] The method of the present application can be used in many general or special computer system environments or configurations. For example: personal computers, server computers, handheld devices or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronic devices, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, etc. The present application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. The present application can also be practiced in distributed computing environments, in which tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules can be located in local and remote computer storage media including storage devices.

[0090] Exemplarily, the above method and apparatus may be implemented in the form of a computer program, which may be run on a wearable device. Exemplarily, the wearable device may include VR glasses, AR glasses, VR helmets, AR helmets, etc., which are not limited here.

[0091] Please refer to the above examples. Figure 4 , Figure 4 It is a schematic block diagram of the structure of a wearable device provided in an embodiment of the present application.

[0092] like Figure 4 As shown, the wearable device includes a memory and a processor. The memory and the processor may be connected via a system bus, and the memory may include a storage medium and an internal memory.

[0093] The storage medium can store an operating system and a computer program. When the computer program is executed, the processor can execute the steps of any one of the control methods for the wearable device.

[0094] The processor is used to provide computing and control capabilities to support the operation of the entire wearable device.

[0095] The internal memory provides an environment for the operation of the computer program in the storage medium. When the computer program is executed by the processor, the processor can execute the steps of any control method of the wearable device.

[0096] Those skilled in the art will understand that Figure 4The structure shown in the figure is only a block diagram of a partial structure related to the present application scheme, and does not constitute a limitation on the wearable device to which the present application scheme is applied. The specific wearable device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0097] It should be understood that the processor may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0098] In one embodiment, the processor is used to execute a computer program and implement the following steps when executing the computer program:

[0099] Acquire a target image captured by the wearable device;

[0100] Extracting feature data of the target image based on a preset feature extraction algorithm;

[0101] Sending the characteristic data to a target device so that the target device determines target data according to the characteristic data;

[0102] The target data is obtained from the target device, and a preset task is executed according to the target data.

[0103] It should be noted that technicians in the relevant field can clearly understand that for the convenience and conciseness of description, the specific working process of the vision test described above can refer to the corresponding process in the aforementioned wearable device control method embodiment, and will not be repeated here.

[0104] An embodiment of the present application also provides a computer-readable storage medium, on which a computer program is stored. The method implemented when the computer program is executed by a processor can refer to the various embodiments of the control method of the wearable device of the present application.

[0105] The computer-readable storage medium may be an internal storage unit of the wearable device described in the foregoing embodiment, such as a hard disk or memory of the wearable device. The computer-readable storage medium may also be an external storage device of the wearable device, such as a plug-in hard disk, a smart memory card (SmartMedia Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc., equipped on the wearable device.

[0106] It should be understood that the terms used in this application specification are only for the purpose of describing specific embodiments and are not intended to limit the application. As used in this application specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0107] It should also be understood that the term "and / or" used in the specification of this application and the appended claims refers to any combination of one or more of the associated listed items and all possible combinations, including these combinations. It should be noted that, in this article, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "including a..." does not exclude the presence of other identical elements in the process, method, article or system including the element.

[0108] The serial numbers of the embodiments of the present application are for description only and do not represent the advantages and disadvantages of the embodiments. The above description is only a specific implementation mode of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present application, and these modifications or replacements should be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.

Claims

1. A control method for a wearable device, characterized in that: For the wearable device, the method comprises: Acquire a target image captured by the wearable device; Extracting feature data of the target image based on a preset feature extraction algorithm; Sending the characteristic data to a target device so that the target device determines target data according to the characteristic data; The target data is obtained from the target device, and a preset task is executed according to the target data.

2. The control method according to claim 1, characterized in that: The wearable device includes a processor and a communication module. The processor is used to extract feature data of the target image based on a preset feature extraction algorithm, and to perform data transmission with the target device through the communication module.

3. The control method according to claim 2, characterized in that: The communication module includes a classic Bluetooth module or a low-power Bluetooth module.

4. The control method according to claim 2, characterized in that: The communication module switches to a sleep state when a sleep condition is met, and the method further includes: When a preset wake-up voice command is detected and the communication module is in a dormant state, the communication module is controlled to switch to a transmission state, and the communication module can perform data transmission with the target device in the transmission state.

5. The control method according to claim 4, characterized in that: The method further comprises: When the communication module does not perform data transmission for a period of time that reaches a preset period of time, the communication module is controlled to switch to a dormant state.

6. The control method according to any one of claims 1 to 5, characterized in that: The acquiring the target image captured by the wearable device comprises: When a shooting instruction is obtained from the target device, starting a shooting module on the wearable device; Acquire a target image captured by the capturing module.

7. The control method according to any one of claims 1 to 5, characterized in that: The acquiring the target data from the target device and performing a preset task according to the target data includes at least one of the following: When the target data includes a target recognition result corresponding to the target image, displaying the target recognition result; When the target data includes a target recognition result corresponding to the target image, a corresponding task instruction is determined according to the target recognition result, and a corresponding preset task is executed according to the task instruction; When the target data includes a task instruction corresponding to the target image, the corresponding preset task is executed according to the task instruction.

8. A control device for a wearable device, characterized in that: The control device comprises: An image acquisition module, used to acquire a target image captured by the wearable device; A feature extraction module, used to extract feature data of the target image based on a preset feature extraction algorithm; A data sending module, used for sending the characteristic data to a target device, so that the target device determines the target data according to the characteristic data; The data acquisition module is used to acquire the target data from the target device and execute a preset task according to the target data.

9. A wearable device, characterized in that: including memory and processor; The memory is used to store computer programs; The processor is used to execute the computer program and implement the steps of the control method of the wearable device according to any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium, characterized in that: The computer readable storage medium stores a computer program, and when the computer program is executed by a processor, the processor is enabled to implement: The steps of the control method of the wearable device as described in any one of claims 1 to 7.

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