Control method of wearable device, control apparatus thereof, and wearable device

Abstract

The application discloses a control method of a wearable device, a control device thereof, a wearable device and a storage medium. The wearable device comprises a body and a detection component connected with the body. The body comprises a detection unit. The control method comprises the following steps: detecting an operation mode of the wearable device; in the case that the operation mode is a first mode, determining that the detection component is a detection main body for acquiring human feature data; and in the case that the operation mode is a second mode, determining that the detection unit is the detection main body for acquiring human feature data. In the control method of the wearable device, different components are determined to be used for acquiring human feature data according to the operation mode of the wearable device, so that the operation power consumption of the wearable device can be reduced as a whole, power resources can be reasonably configured, and the endurance time of the wearable device can be prolonged.

Description

Control methods and control devices for wearable devices and wearable devices Technical Field

[0001] This application relates to the field of electronic technology, and in particular to a control method and control device for a wearable device, the wearable device, and a storage medium. Background Technology

[0002] Wearable devices, such as smart bracelets, smartwatches, and smart glasses, are increasingly impacting people's lives, especially in health management. By detecting various human characteristics, wearable devices allow people to more easily understand their physical condition. However, due to the need to maintain a small size, wearable devices typically have small battery capacities. This limited battery capacity restricts battery life, resulting in poor performance and a less than ideal user experience. Summary of the Invention

[0003] This application provides a control method for a wearable device, a control device for a wearable device, a wearable device, and a storage medium.

[0004] The control method for a wearable device according to embodiments of this application, wherein the wearable device includes a body and a detection component connected to the body, the body including a detection unit, and the control method includes the following steps:

[0005] Detect the operating mode of the wearable device;

[0006] When the operating mode is the first mode, the detection component is determined as the detection subject for acquiring human feature data; and

[0007] When the operating mode is the second mode, the detection unit is determined as the detection subject to acquire the human feature data.

[0008] The control device for a wearable device according to an embodiment of this application includes:

[0009] The detection module is used to detect the operating mode of the wearable device;

[0010] A data acquisition module is used to determine the detection component as the detection subject in order to acquire human feature data when the operating mode is the first mode.

[0011] The data acquisition module is also used to determine the detection unit as the detection subject when the operating mode is the second mode, so as to acquire the human feature data.

[0012] The wearable device according to the embodiments of this application includes one or more processors, a memory, and one or more computer programs, wherein the one or more computer programs are stored in the memory, and when the computer programs are executed by the one or more processors, they implement instructions for the control method of the wearable device described in any of the above embodiments.

[0013] The non-volatile computer-readable storage medium of this application embodiment stores a computer program that, when executed by one or more processors, implements instructions for the control method of the wearable device described in any of the above embodiments.

[0014] In the control method, control device, wearable device, and storage medium of the wearable device in this application, different components are determined for acquiring human characteristic data by detecting the operating mode of the wearable device. This can reduce the overall operating power consumption of the wearable device, rationally allocate power resources, and extend the battery life of the wearable device.

[0015] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0016] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, wherein:

[0017] Figure 1 is a flowchart illustrating the control method of a wearable device according to an embodiment of this application.

[0018] Figure 2 is a schematic diagram of the main body and detection component of the wearable device according to an embodiment of this application.

[0019] Figure 3 is a structural schematic diagram of the wearable device according to an embodiment of this application.

[0020] Figure 4 is a schematic diagram of the control device of the wearable device according to an embodiment of this application.

[0021] Figure 5 is another schematic flowchart of the control method for a wearable device according to an embodiment of this application.

[0022] Figure 6 is another schematic flowchart of the control method for a wearable device according to an embodiment of this application.

[0023] Figure 7 is another schematic flowchart of the control method for a wearable device according to an embodiment of this application.

[0024] Figure 8 is another schematic flowchart of the control method for a wearable device according to an embodiment of this application.

[0025] Figure 9 is another schematic flowchart of the control method for a wearable device according to an embodiment of this application.

[0026] Figure 10 is another schematic flowchart of the control method for a wearable device according to an embodiment of this application. Detailed Implementation

[0027] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain this application, and should not be construed as limiting this application.

[0028] Please refer to Figures 1 and 2. In the control method of the wearable device 10 according to the embodiments of this application, the wearable device 10 includes a body 12 and a detection component 14 connected to the body 12. The body 12 includes a detection unit 121. The control method includes the following steps:

[0029] S10: Detect the operating mode of wearable device 10;

[0030] S20: When the operating mode is the first mode, the detection component 14 is determined as the detection subject for acquiring human feature data; and

[0031] S30: When the operating mode is the second mode, the detection unit 121 is determined as the detection subject for acquiring human feature data.

[0032] Referring to Figure 3, this application also provides a wearable device 10. The wearable device 10 includes a processor 102 and a memory 104. The memory 104 stores a computer program 106. When the computer program 106 is executed by the processor 102, it implements the control method of the wearable device 10 according to this application. That is, the processor 102 can be used to detect the operating mode of the wearable device 10, and to determine the detection component 14 as the detection subject for acquiring human feature data when the operating mode is a first mode, and to determine the detection unit 121 as the detection subject for acquiring human feature data when the operating mode is a second mode.

[0033] Referring to Figure 4, this application embodiment also provides a control device 110 for a wearable device 10. The control method of the wearable device 10 in this application embodiment can be implemented by the control device 110. The control device 110 includes a detection module 112 and a data acquisition module 114. S10 can be implemented by the detection module 112, and S20 and S30 can be implemented by the data acquisition module 114. That is, the detection module 112 can be used to detect the operating mode of the wearable device 10, and the data acquisition module 114 can be used to determine the detection component 14 as the detection subject for acquiring human feature data when the operating mode is a first mode, and to determine the detection unit 121 as the detection subject for acquiring human feature data to reduce the power consumption of the wearable device 10 when the operating mode is a second mode.

[0034] Specifically, wearable device 10 can be a smart bracelet, smartwatch, smart necklace, smart ring, etc., without any specific limitations. The following explanation uses a smartwatch as an example.

[0035] The wearable device 10 includes a main body 12 and a detection component 14 connected to the main body 12. The main body 12 also includes a detection unit 121. Compared to the detection unit 121, the detection component 14 consumes more power, but the data detected by the detection component 14 is more accurate. The detection unit 121 consumes less power. Therefore, when the wearable device 10 uses the detection unit 121 to acquire human feature data, the power consumption of the wearable device 10 can be reduced. When the wearable device 10 uses the detection component 14 to acquire human feature data, the detection accuracy of the human feature data can be improved.

[0036] Furthermore, the wearable device 10 can be a dual-system architecture, that is, a hardware architecture based on two processor chips, where each processor runs an independent operating system, such as a big-core system and a little-core system. The two operating systems interact with each other to realize the functions of the wearable device 10. The operating modes of the wearable device 10 can include a first mode and a second mode. In the first mode, the little-core system can be run, and the power consumption of the wearable device 10 can be lower when the little-core system is running. In the second mode, the big-core system can be run, and the power consumption of the wearable device 10 can be higher when the big-core system is running.

[0037] By detecting the operating mode of the wearable device 10, and determining the detection component 14 as the detection subject for acquiring human feature data in the first operating mode, the detection accuracy can be improved. In the second operating mode, determining the detection unit 121 as the detection subject for acquiring human feature data can reduce the power consumption of the wearable device 10. Thus, by detecting the operating mode of the wearable device 10 and determining which component is used to acquire human feature data, the overall power consumption of the wearable device 10 can be reduced, the power resources of the wearable device 10 can be rationally allocated, the battery life can be extended, and the user experience can be optimized.

[0038] In some embodiments, the detection component 14 is wirelessly connected to the body 12.

[0039] Specifically, the control device 110 of the wearable device 10 includes a wireless communication module 116, that is, the wireless communication module 116 is used to connect the detection component 10 and the main body 12 of the wearable device 10. In this way, the detection component 14 and the main body 12 are connected wirelessly to transmit human feature data and corresponding control commands for controlling the detection component 14 to turn on or off. For example, they can be connected via Bluetooth, cellular network, Wi-Fi, etc., and the specific connection is not limited.

[0040] In some embodiments, the detection component 14 is connected to the main body 12 via Bluetooth. Bluetooth can be Bluetooth Low Energy (BLE), which, compared to classic Bluetooth, further reduces power consumption of both the main body 12 and the detection component 14 while maintaining the same communication range. Furthermore, Bluetooth modules are less expensive, and interconnection via Bluetooth can also reduce production costs.

[0041] In other embodiments, the detection component 14 is connected to the body 12 via a cellular network. Cellular networks offer higher data transmission capacity and greater reliability, ensuring accurate and rapid transmission of human feature data through interconnection.

[0042] Of course, the detection component 14 and the main body 12 are not limited to wireless communication connection. They can also be connected by wired communication depending on the actual situation. No specific limitation is made here.

[0043] In some implementations, the human characteristic data includes at least one or more of blood pressure, blood oxygen, and heart rate.

[0044] Specifically, human characteristic data may include one or more of the following: blood pressure, blood oxygen, heart rate, human activity level, human movement trajectory, and human activity distance.

[0045] Furthermore, the detection component 14 and the detection unit 121 can be equipped with an integrated sensor to uniformly detect human feature data, or multiple sensors can be set, with each sensor corresponding to detect its own human feature data.

[0046] In some embodiments, the detection component 14 and the detection unit 121 are equipped with multiple sensors, including a blood pressure sensor, a blood oxygen sensor, a heart rate sensor, a motion sensor, an accelerometer, a gyroscope, etc. When the human characteristic data is blood pressure, the sensor used in the detection component 14 or the detection unit 121 is a blood pressure sensor. When the human characteristic data is blood oxygen, the sensor used in the detection component 14 or the detection unit 121 is a blood oxygen sensor. When the human characteristic data is heart rate, the sensor used in the detection component 14 or the detection unit 121 is a heart rate sensor. When the human characteristic data is a human walking trajectory or a human activity distance, the sensor used in the detection component 14 or the detection unit 121 is a motion sensor.

[0047] It should be noted that when only a single human feature data needs to be detected, it can be detected using the corresponding sensor, and other unused sensors can be turned off. When multiple human feature data needs to be detected, it can be detected using sensors corresponding to multiple feature data, and other unused sensors can be turned off.

[0048] In this way, the power consumption of the wearable device 10 can be reduced as much as possible, ensuring the battery life of the wearable device 10 and optimizing the user experience.

[0049] Referring to Figure 5, in some embodiments, S10 includes:

[0050] S11: Real-time detection of the operating mode of wearable device 10 for determining the subject to be detected;

[0051] Control methods include:

[0052] S40: Determine whether to perform data detection based on user input;

[0053] S50: In the case of data detection, human characteristic data is obtained through a determined detection subject.

[0054] Accordingly, for the wearable device 10, the processor 102 can be used to detect the operating mode of the wearable device 10 in real time to determine the detection subject. The processor 102 can also be used to determine whether to perform data detection based on user input, and, if data detection is performed, to acquire human feature data through the determined detection subject.

[0055] For the control device 110 of the wearable device 10, S11 can be implemented by the detection module 112, and S40 and S50 can be implemented by the data acquisition module 114. That is to say, the detection module 112 can be used to detect the operating mode of the wearable device 10 in real time to determine the detection subject. The data acquisition module 114 can be used to determine whether to perform data detection based on user input, and to acquire human feature data through the determined detection subject when data detection is performed.

[0056] It is understandable that users can determine whether to perform data detection to obtain human feature data by inputting control commands. For example, by inputting control commands, users can determine which human feature data to obtain, and then control the wearable device 10 to activate the corresponding sensors to collect human feature data. The wearable device 10 can determine which component should be used as the detection subject to obtain human feature data in real time based on its own operating mode. That is, it determines the detection subject in real time. After determining the detection subject, if user input is received, human feature data can be directly obtained through the determined detection subject. That is, when the wearable device 10 is in the first operating mode, human feature data is obtained through the detection component 14, and when the wearable device 10 is in the second operating mode, human feature data is obtained through the detection unit 121.

[0057] Referring to Figure 6, in some embodiments, S10 includes:

[0058] S12: Determine whether to perform data detection based on user input;

[0059] S13: When performing data detection, the operating mode of the wearable device 10 is detected to determine the detection subject;

[0060] Control methods include:

[0061] S60: Obtain human characteristic data through a defined detection subject.

[0062] Accordingly, for the wearable device 10, the processor 102 can be used to determine whether to perform data detection based on user input, and, if data detection is performed, to detect the operating mode of the wearable device 10 to determine the detection subject. The processor 102 can also be used to acquire human feature data through the determined detection subject.

[0063] For the control device 110 of the wearable device 10, steps S12 and S13 can be implemented by the detection module 112, and step S60 can be implemented by the data acquisition module 114. That is, the detection module 112 can be used to determine whether to perform data detection based on user input, and when data detection is performed, to detect the operating mode of the wearable device 10 to determine the detection subject. The data acquisition module 114 can be used to acquire human feature data through the determined detection subject.

[0064] It is understandable that the wearable device 10 does not need to detect the operating power consumption of the main body 12 in real time. Instead, after determining the data detection based on user input, the operating mode of the wearable device 10 is detected to determine the detection subject. Then, after determining the detection subject, human feature data is obtained based on the determined detection subject. That is, when the wearable device 10 is in the first operating mode, human feature data is obtained through the detection component 14, and when the wearable device 10 is in the second operating mode, human feature data is obtained through the detection unit 121. In this way, the frequency of power detection can be reduced.

[0065] Referring to Figure 7, in some embodiments, the control method may include:

[0066] S70: If the wearable device 10 is detected to have started the first mode when human body feature data is acquired through the detection unit 121, the detection subject is switched to the detection component 14 and human body feature data is acquired through the detection component 14.

[0067] S80: If the wearable device 10 is detected to have started the second mode when human feature data is acquired through the detection component 14, the detection subject is switched to the detection unit 121 and human feature data is acquired through the detection unit 121.

[0068] Accordingly, for the wearable device 10, the processor 102 can be used to detect that the wearable device 10 has started a first mode when human feature data is acquired through the detection unit 121, and then switch the detection subject to the detection component 14 and acquire human feature data through the detection component 14; and to detect that the wearable device 10 has started a second mode when human feature data is acquired through the detection component 14, and then switch the detection subject to the detection unit 121 and acquire human feature data through the detection unit 121.

[0069] For the control device 110 of the wearable device 10, S70 and S80 can be implemented by the data acquisition module 114. That is to say, the data acquisition module 114 can be used to detect that the wearable device 10 has started the first mode when human body feature data is acquired through the detection unit 121, and then switch the detection subject to the detection component 14 and acquire human body feature data through the detection component 14. It can also be used to detect that the wearable device 10 has started the first mode when human body feature data is acquired through the detection component 14, and then switch the detection subject to the detection unit 121 and acquire human body feature data through the detection unit 121.

[0070] In this way, during the process of acquiring human feature data, the wearable device 10 can detect in real time whether the wearable device 10 starts a new operating mode, and determine whether to switch the detection subject based on the operating mode started by the wearable device 10. This helps to reduce the operating power consumption of the wearable device 10, rationally allocate power resources, extend the battery life of the wearable device 10, and optimize the user experience.

[0071] Referring to Figure 8, in some embodiments, the control method may include:

[0072] S72: When the wearable device 10 starts the first mode, a first control command is broadcast to control the detection unit 121 to turn off and control the detection component 14 to turn on so as to switch the detection subject to the detection component 14.

[0073] S82: When the wearable device 10 starts the second mode, a second control command is broadcast to control the detection component 14 to turn off and control the detection unit 121 to turn on, so as to switch the detection subject to the detection unit 121.

[0074] Accordingly, for the wearable device 10, the processor 102 can be used to broadcast a first control command to control the detection unit 121 to turn off and control the detection component 14 to turn on to switch the detection subject to the detection component 14 when the wearable device 10 starts the first mode, and to broadcast a second control command to control the detection component 14 to turn off and control the detection unit 121 to turn on to switch the detection subject to the detection unit 121 when the wearable device 10 starts the second mode.

[0075] For the control device 110 of the wearable device 10, S72 and S82 can be implemented by the data acquisition module 114. That is, the data acquisition module 114 can be used to broadcast a first control command to control the detection unit 121 to turn off and control the detection component 14 to turn on when the wearable device 10 starts the first mode, so as to switch the detection subject to the detection component 14, and to broadcast a second control command to control the detection component 14 to turn off and control the detection unit 121 to turn on when the wearable device 10 starts the second mode, so as to switch the detection subject to the detection unit 121.

[0076] In this way, when the wearable device 10 switches operating modes, it can send control commands through system broadcast messages to control the opening or closing of the detection unit 121 and the detection component 14, thereby realizing the switching of the detection subject, reducing the operating power consumption of the wearable device 10, rationally allocating power resources, and extending the battery life of the wearable device 10.

[0077] Referring to Figure 9, in some embodiments, S2 may include:

[0078] S22: When the operating mode is the first mode, human body feature data is acquired through the detection component 14, and the acquisition frequency and / or acquisition amount of human body feature data are determined according to the current power level of the detection component 14.

[0079] In some implementations, S22 can be implemented by the data acquisition module 114. That is, the data acquisition module 114 can be used to acquire human feature data through the detection component 14 when the operating mode is the first mode, and determine the acquisition frequency and / or the amount of data to be acquired based on the current battery level of the detection component 14.

[0080] In some implementations, the processor 102 may be used to acquire human feature data through the detection component 14 when the operating mode is a first mode, and determine the acquisition frequency and / or the amount of data to be acquired based on the current power level of the detection component 14.

[0081] Specifically, both the detection component 14 and the main body 12 are equipped with independent batteries. In the first operating mode, after acquiring human feature data through the detection component 14, the acquisition frequency and / or the amount of data acquired by the detection component 14 can be determined based on its current battery level. When the current battery level of the detection component 14 is below a predetermined battery threshold, the detection component 14 is controlled to detect human feature data at a lower frequency and acquire less data.

[0082] In this way, the working state of the detection component 14 and the detection unit 121 can be adjusted according to the power usage, further reducing the operating power consumption of the wearable device 10, rationally allocating power resources, and extending the battery life of the wearable device 10.

[0083] It should be noted that the predetermined battery threshold can be set according to user settings, the type of wearable device, the usage scenario, processor performance, and other parameters. There is no specific limitation; for example, it could be 30%, 50%, 60%, etc. Multiple predetermined battery thresholds can also be set to gradually reduce the acquisition frequency and the amount of data acquired within the corresponding battery range.

[0084] In some embodiments, the operating mode is a first mode, in which human feature data is acquired through the detection component 14. If the current battery level of the detection component 14 is 30%, then it is determined that the acquisition frequency of the detection component 14 decreases by 20%.

[0085] In this way, the working state of the detection component 14 can be adjusted according to the power usage, further reducing the operating power consumption of the wearable device 10, rationally allocating power resources, and extending the battery life of the wearable device 10.

[0086] In some implementations, for multiple predetermined power thresholds, if the power of the detection component 14 is less than the minimum predetermined power threshold, the detection subject is switched to the detection unit 121 to obtain human feature data through the detection unit 121.

[0087] Thus, by detecting whether the power of the detection component 14 is less than the minimum preset power threshold, it is determined whether the detection component 14 can normally perform the task of acquiring human feature data. If the power of the detection component 14 is less than the minimum preset power threshold, it means that the power of the detection component 114 is insufficient to support the detection component 114 to continue acquiring human feature data. Therefore, even when the wearable device 10 is running in the first mode, the detection subject is switched to the detection unit 121, and human feature data is still acquired through the detection unit 121 to ensure the normal acquisition of human feature data.

[0088] In some implementations, S3 may include:

[0089] S32: When the operating mode is the second mode, human body feature data is acquired through the detection unit 121, and the acquisition frequency and / or acquisition amount of human body feature data are determined according to the current power of the body 12.

[0090] In some implementations, S32 can be implemented by the data acquisition module 114. That is, the data acquisition module 114 can be used to acquire human feature data through the detection unit 121 when the operating mode is the second mode, and determine the acquisition frequency and / or the amount of data to be acquired based on the current battery level of the body 12.

[0091] In some implementations, the processor 102 may be used to acquire human feature data through the detection unit 121 when the operating mode is the second mode, and determine the acquisition frequency and / or the amount of data to be acquired based on the current battery level of the body 12.

[0092] Specifically, similar to the aforementioned implementation method, when the operating mode is the second mode, human body feature data is acquired through the detection unit 121. The acquisition frequency and / or acquisition amount of human body feature data can be determined based on the current battery level of the main body 12, which will not be elaborated here.

[0093] In this way, the working state of the detection unit 121 can be adjusted according to the power usage, further reducing the operating power consumption of the wearable device 10, rationally allocating power resources, and extending the battery life of the wearable device 10.

[0094] In some implementations, S3 may include:

[0095] S34: When the operating mode is the second mode, human feature data is acquired through the detection unit 121, and the acquisition frequency and / or the amount of data to be acquired are determined according to whether the wearable device 10 is running a high-power module.

[0096] In some implementations, S34 can be implemented by the data acquisition module 114. That is, the data acquisition module 114 can be used to acquire human feature data through the detection unit 121 when the operating mode is the second mode, and determine the acquisition frequency and / or the amount of data to be acquired based on whether the wearable device 10 is running a high-power module.

[0097] In some implementations, the processor 102 may be used to acquire human feature data through the detection unit 121 when the operating mode is the second mode, and determine the acquisition frequency and / or the amount of data to be acquired based on whether the wearable device 10 is running a high-power module.

[0098] Specifically, when the operating mode is the second mode, after acquiring human feature data through the detection unit 121, the acquisition frequency and / or the amount of data to be acquired can be determined based on whether the wearable device 10 is running a high-power module, such as a WiFi module, an embedded SIM module, or a screen module.

[0099] In some embodiments, when the operating mode is the second mode, the wearable device 10 is running the screen module. Since the screen module has high power consumption, the detection unit 121 detects human feature data at a lower frequency than when the high-power module is not running, and the amount of data acquired is less.

[0100] In this way, the working state of the detection unit 121 can be adjusted according to the module operation status of the wearable device 10, further reducing the operating power consumption of the wearable device 10, rationally allocating power resources, and extending the battery life of the wearable device 10.

[0101] Please refer to Figure 10. In some embodiments, the control method includes:

[0102] S01: Control the operating mode of the wearable device 10 according to user input.

[0103] In some implementations, S01 can be implemented by the data acquisition module 114. That is, the data acquisition module 114 can be used to control the operating mode of the wearable device 10 according to user input.

[0104] In some implementations, the processor 102 can be used to control the operating mode of the wearable device 10 based on user input.

[0105] Specifically, the operating mode of the wearable device 10 can be controlled according to user input, and then the human feature data can be acquired through the detection component 14 or the detection unit 121 according to the operating mode of the wearable device 10. That is to say, when the user manually selects the second operating mode, the human feature data is acquired through the detection unit 121. When the user manually selects the first operating mode, the human feature data is acquired through the detection component 14.

[0106] This allows for further optimization of the user experience.

[0107] In some implementations, the wearable device 10 has a dual-system architecture, which includes a big-core system and a small-core system. The first mode runs the small-core system, and the second mode runs the big-core system.

[0108] Specifically, the specific embodiments of this implementation have been described in the preceding text and will not be repeated here.

[0109] In some embodiments, the contact area between the detection component 14 and the human body is greater than the contact area between the body 12 and the human body.

[0110] Specifically, please refer to Figure 2 again. The wearable device 10 can be a smartwatch. The main body 12 of the wearable device 10 can be set inside the watch body 12. The detection component 14 is similar in shape to the watch strap and can be set inside the watch strap. The contact area between the detection component 14 and the human body is larger than the contact area between the main body 12 and the human body. Therefore, the human feature data detected by the detection component 14 is relatively more accurate.

[0111] This application also provides a non-volatile computer-readable storage medium storing a computer program. When the computer program is executed by one or more processors, it implements the control method for the wearable device described in any of the above embodiments.

[0112] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with an embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0113] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0114] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0115] The storage media mentioned above can be read-only memory, disk, or optical disk, etc.

[0116] Although embodiments of this application have been shown and described, those skilled in the art will understand that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of this application, the scope of which is defined by the claims and their equivalents.

Claims

1. A control method for a wearable device, characterized in that, The wearable device includes a main body and a detection component connected to the main body. The main body includes a detection unit. The wearable device has a dual-system architecture, which includes a large-core system and a small-core system. The control method includes the following steps: detecting the operating mode of the wearable device; when the operating mode is a first mode, determining the detection component as the detection subject for acquiring human feature data; and when the operating mode is a second mode, determining the detection unit as the detection subject for acquiring the human feature data; wherein the contact area between the detection component and the human body is greater than the contact area between the main body and the human body, the first mode operates the small-core system, and the second mode operates the large-core system.

2. The control method according to claim 1, characterized in that, The detection of the wearable device's operating mode includes: real-time detection of the wearable device's operating mode to determine the detection subject; the control method includes: determining whether to perform a health check based on user input; and, if a health check is performed, acquiring the human characteristic data through the determined detection subject.

3. The control method according to claim 1, characterized in that, The control method includes: determining whether to perform a health check based on user input; if a health check is performed, detecting the operating mode of the wearable device to determine the detection subject; the control method includes: acquiring the human characteristic data through the determined detection subject.

4. The control method according to any one of claims 1-3, characterized in that, The control method includes: if the wearable device is detected to have started the first mode when the human body feature data is acquired through the detection unit, then the detection subject is switched to the detection component and the human body feature data is acquired through the detection component; if the wearable device is detected to have started the second mode when the human body feature data is acquired through the detection component, then the detection subject is switched to the detection unit and the human body feature data is acquired through the detection unit.

5. The control method according to claim 4, characterized in that, The control method includes: when the wearable device starts the first mode, broadcasting a first control command to control the detection unit to turn off and control the detection component to turn on to switch the detection subject to the detection component; when the wearable device starts the second mode, broadcasting a second control command to control the detection component to turn off and control the detection unit to turn on to switch the detection subject to the detection unit.

6. A control device for a wearable device, characterized in that, The wearable device includes a main body and a detection component connected to the main body. The main body includes a detection unit. The wearable device has a dual-system architecture, which includes a large-core system and a small-core system. The control device includes: a detection module for detecting the operating mode of the wearable device; and a data acquisition module for determining the detection component as the detection subject to acquire human feature data when the operating mode is a first mode; and for determining the detection unit as the detection subject to acquire the human feature data when the operating mode is a second mode. The contact area between the detection component and the human body is larger than the contact area between the main body and the human body. The first mode operates the small-core system, and the second mode operates the large-core system.

7. The control device according to claim 6, characterized in that, The control device further includes a wireless communication module, which is used to connect the detection component and the main body.

8. A wearable device, characterized in that, It includes one or more processors, a memory, and one or more computer programs, wherein the one or more computer programs are stored in the memory, and when executed by the one or more processors, the computer programs implement instructions for the control method of the wearable device according to any one of claims 1-5.

9. A non-volatile computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by one or more processors, it implements the instructions for the control method of the wearable device according to any one of claims 1-5.

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