Microphone endurance prolonging method and device of smart watch and storage medium

Abstract

The invention relates to the field of intelligent wearing endurance, and discloses an intelligent watch microphone endurance prolonging method and device, and a storage medium. The method comprises the following steps: acquiring heart rate data acquired by a sensor in the smart watch; judging whether the heart rate data is greater than a preset waking threshold; if not, closing audio acquisition; if yes, judging whether external connection equipment exists in the smart watch or not; when the external Bluetooth signal does not exist, analyzing the external Bluetooth signal strength according to a preset signal detection algorithm to obtain an analysis result, and based on the analysis result, controlling the audio acquisition opening and closing of a microphone in the smart watch; if yes, reading positioning data of the external connection equipment; and according to the preset electronic fence and the positioning data, controlling the audio acquisition opening and closing of the microphone in the smart watch. In the embodiment of the invention, the signal acquisition of the microphone is turned on and turned off in a targeted manner, and the electricity consumption of the microphone is effectively reduced under the condition that the user experience is not influenced.

Description

Technical Field

[0001] This invention relates to the field of smart wearable battery life, and more particularly to a method, device, and storage medium for extending the battery life of a smartwatch's microphone. Background Technology

[0002] With the rapid development of the Internet of Things (IoT) and mobile health technologies, smart wearable devices (such as smartwatches, wristbands, and smart glasses) have been widely used in health monitoring, sports assistance, mobile communication, and daily information management. Users' increasing demands for device integration and real-time data delivery have led to devices incorporating more high-performance sensors, more complex processors, and continuously connected wireless communication modules.

[0003] There is an inherent contradiction between the functionality of devices and the demands for miniaturization and lightweight design, which directly results in extremely limited physical space for batteries, making battery capacity a rigid constraint. Currently, mainstream devices typically offer only one to several days of battery life under typical usage scenarios, failing to meet users' urgent needs for "unobtrusive wear" and "long-term continuous monitoring." Smartwatches currently incorporate microphones to interact with smartphones and improve the user experience. However, the added microphone needs to constantly collect external sounds and identify relevant information, undoubtedly increasing power consumption and reducing battery life. While existing technologies have continuously improved in low-power hardware design, effective control over microphone power consumption remains impossible. Therefore, a new technology is needed to address the technical challenge of effectively controlling the reduced battery life caused by smartwatch microphones. Summary of the Invention

[0004] The main objective of this invention is to solve the technical problem that the microphone in smartwatches is difficult to effectively control, thus reducing battery life.

[0005] The first aspect of this invention provides a method for extending the battery life of a smartwatch's microphone, comprising the steps of: Acquire heart rate data collected by sensors in a smartwatch; Determine whether the heart rate data is greater than a preset wakefulness threshold; When the threshold for alertness is not greater than the preset threshold, the audio acquisition of the microphone in the smartwatch is turned off. When the alertness threshold is exceeded, it is determined whether the smartwatch has an external connected device. When there is no external connected device, the external Bluetooth signal strength is analyzed according to the preset signal detection algorithm to obtain the analysis result, and the audio acquisition of the microphone in the smartwatch is controlled to be turned on and off based on the analysis result. When an external connected device is present, the location data of the external connected device is read; Based on the preset electronic fence and the location data, the audio acquisition of the microphone in the smartwatch is controlled to be turned on and off.

[0006] Optionally, in a first implementation of the first aspect of the present invention, the step of analyzing the external Bluetooth signal strength according to a preset signal detection algorithm to obtain the analysis result, and controlling the audio acquisition on / off of the microphone in the smartwatch based on the analysis result, includes the following steps: Read the historical connected device table and the device Bluetooth signal table; Determine whether there are any shared devices between the historical connection device table and the device Bluetooth signal table; When no shared device is available, the audio capture of the microphone in the smartwatch is turned off; When there are shared devices, the historical connected devices in the historical connected device table are sorted based on the Bluetooth signal strength of the device's Bluetooth signal table to obtain a strength sorting table. Establish a communication channel with the historical connection device with the highest signal strength in the strength ranking table, and enable audio acquisition from the microphone in the smartwatch.

[0007] Optionally, in a second implementation of the first aspect of the present invention, after establishing a communication channel with the historical connection device with the highest signal strength in the strength ranking table and enabling audio acquisition by the microphone in the smartwatch, the method further includes: Receive the corresponding reverse control shutdown command for the historical connected device with the highest signal strength; Based on the reverse control shutdown command, the audio acquisition of the microphone in the smartwatch is turned off.

[0008] Optionally, in a third implementation of the first aspect of the present invention, the step of controlling the audio acquisition on / off of the microphone in the smartwatch according to the preset electronic fence and the positioning data includes: Determine whether the location data is within a preset electronic fence; When within a preset electronic fence, the three-axis inertial value of the inertial sensor in the smartwatch is read, and based on the three-axis inertial value, the audio acquisition of the microphone in the smartwatch is activated. When not within a preset electronic fence, the audio capture of the microphone in the smartwatch is turned off.

[0009] Optionally, in a fourth implementation of the first aspect of the present invention, the step of activating audio acquisition of the microphone in the smartwatch based on the three-axis inertia value includes: Determine whether the triaxial inertia value is within the preset motion calibration range; When the device is within the preset motion calibration range, the microphone in the smartwatch will be activated to capture audio. If the user is not within the preset motion calibration range, the audio acquisition of the microphone in the smartwatch will be turned off.

[0010] Optionally, in a fifth implementation of the first aspect of the present invention, the step of determining whether the triaxial inertia value is within a preset motion calibration range includes: Analyze whether the three-axis inertia values ​​are all within the corresponding axial inertia range; When all three axes are within their corresponding inertia range, the triaxial inertia values ​​are determined to be within the preset motion calibration range. If the inertia values ​​of the three axes are not all within the corresponding range of inertia, then it is determined that the inertia values ​​of the three axes are not within the preset motion calibration range.

[0011] Optionally, in a sixth implementation of the first aspect of the present invention, the step of determining whether the heart rate data is greater than a preset wakefulness threshold includes: Determine whether the heart rate data is empty; When the heart rate data is empty, the audio acquisition of the microphone in the smartwatch is turned off; If the heart rate data is not empty, then determine whether the heart rate data is greater than the preset wakefulness threshold.

[0012] Optionally, in a seventh implementation of the first aspect of the present invention, after controlling the audio acquisition on / off of the microphone in the smartwatch, the method further includes: When the microphone in the smartwatch is turned on for audio acquisition, the operating power of the microphone for audio acquisition in the smartwatch is controlled based on the preset VAD algorithm.

[0013] A second aspect of the present invention provides a message identification and transmission device, comprising: a memory and at least one processor, wherein the memory stores instructions, and the memory and the at least one processor are interconnected via a line; the at least one processor invokes the instructions in the memory to cause the message identification and transmission device to execute the above-described method for extending the microphone battery life of a smartwatch.

[0014] A third aspect of the present invention provides a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the above-described method for extending the microphone battery life of a smartwatch.

[0015] In this embodiment of the invention, by analyzing whether the user is awake or asleep, analyzing whether there is a connection interaction with an external device, and setting the microphone's working geographical area, the microphone signal acquisition is selectively activated when the user is awake, an external device is present, and the user is within the working geographical area; when the user is asleep, there are no external settings, and the user is not within the working geographical area, the microphone signal acquisition is deactivated to conserve power. Through analysis of smartwatch usage scenarios, and by selectively activating and deactivating the microphone signal acquisition without requiring real-time external audio acquisition while the watch is powered on, the power consumption of the microphone is effectively reduced without affecting the user experience, thus solving the technical problem of difficulty in effectively controlling the reduction of battery life caused by the smartwatch microphone. Attached Figure Description

[0016] Figure 1 This is a schematic diagram of one embodiment of the method for extending the microphone battery life of a smartwatch according to the present invention; Figure 2 This is a schematic diagram of a specific embodiment of step 102 of the method for extending the microphone battery life of a smartwatch in an embodiment of the present invention; Figure 3 This is a schematic diagram of a specific embodiment of step 105 of the method for extending the microphone battery life of a smartwatch in an embodiment of the present invention; Figure 4 This is a schematic diagram of a specific embodiment of the 107 steps of the method for extending the microphone battery life of a smartwatch in an embodiment of the present invention; Figure 5 This is a schematic diagram of one embodiment of the message identification and transmission device in this invention. Detailed Implementation

[0017] This invention provides a method, device, and storage medium for extending the microphone battery life of a smartwatch.

[0018] The embodiments of the present invention will now be described in more detail with reference to the accompanying drawings. While some embodiments of the present invention are shown in the drawings, it should be understood that the present invention can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided to provide a more thorough and complete understanding of the present disclosure. It should be understood that the accompanying drawings and embodiments are for illustrative purposes only and are not intended to limit the scope of protection of the present invention.

[0019] In the description of the embodiments disclosed in this invention, the term "comprising" and similar terms should be understood as open-ended inclusion, i.e., "including but not limited to". The term "based on" should be understood as "at least partially based on". The term "one embodiment" or "the embodiment" should be understood as "at least one embodiment". The terms "first", "second", etc., may refer to different or the same objects. Other explicit and implicit definitions may also be included below.

[0020] For ease of understanding, the specific process of the embodiments of the present invention is described below. Please refer to [link / reference]. Figure 1 A schematic diagram of an embodiment of the method for extending the battery life of a smartwatch's microphone, as described in this invention. 101. Obtain heart rate data collected by sensors in the smartwatch; In this embodiment, the heart rate data is obtained by using the laser sensor of the smartwatch to collect the blood flow reflection under the user's skin, and the heart rate data is read.

[0021] 102. Determine whether the heart rate data is greater than a preset wakefulness threshold; In this embodiment, the threshold for calculating resting heart rate is set to 65 when the heart rate data is 86. Since the heart rate data is greater than the awakening threshold, the current user is considered to be awake.

[0022] Please see Figure 2 , Figure 2 This is a schematic diagram of a specific embodiment of step 102 of the method for extending the microphone battery life of a smartwatch in this invention. Step 102 includes the following specific implementation methods: 1021. Determine whether the heart rate data is empty; 1022. When the heart rate data is empty, the audio acquisition of the microphone in the smartwatch is turned off; 1023. When the heart rate data is not empty, determine whether the heart rate data is greater than the preset wakefulness threshold.

[0023] In steps 1021-1023, before analyzing the user's status, it is first determined whether the smartwatch is being worn and whether the heart rate data is empty. If the heart rate data is empty, it means that the smartwatch is not being worn. In this case, the audio acquisition of the microphone in the smartwatch is turned off, and only functions that cannot be turned off, such as heart rate detection, timer, and Bluetooth, are enabled, without affecting the user's use.

[0024] If the heart rate data is not empty, it means that the smartwatch is being worn. The heart rate data is only judged to be greater than the preset wakefulness threshold based on the wearing status.

[0025] 103. When the threshold for alertness is not greater than the preset threshold, the audio acquisition of the microphone in the smartwatch is turned off. In this embodiment, if the threshold for wakefulness is not greater than the threshold for wakefulness, it indicates that the user is in a sleep state and there is no need to use the microphone. Therefore, the audio acquisition of the microphone in the smartwatch is directly turned off.

[0026] 104. When the threshold for alertness is exceeded, determine whether the smartwatch has an external connected device. In this embodiment, when the heart rate data is greater than the preset wakefulness threshold, it indicates that the user is wearing the device. It is necessary to determine whether the smartwatch has an external connection device. The microphone can only be used if an external connection device is present.

[0027] 105. When there is no external connected device, the external Bluetooth signal strength is analyzed according to the preset signal detection algorithm to obtain the analysis result, and the audio acquisition of the microphone in the smartwatch is controlled to be turned on or off based on the analysis result. In this embodiment, if no external device is connected, the strength of the external Bluetooth signal is first analyzed, and an analysis result is generated based on the external Bluetooth signal strength. Based on the analysis result, if a Bluetooth signal indicating a connected external device is present, the smartwatch's microphone is turned on; otherwise, if no Bluetooth signal indicating a connected external device is present, the smartwatch's microphone is turned off.

[0028] Please see Figure 3 , Figure 3 This is a schematic diagram of a specific embodiment of step 105 of the method for extending the microphone battery life of a smartwatch in this invention. Step 105 includes the following specific implementation methods: 1051. Read the historical connected device table and device Bluetooth signal table; 1052. Determine whether there are any shared devices between the historical connection device table and the device Bluetooth signal table; 1053. When no shared device exists, the audio acquisition of the microphone in the smartwatch is turned off; 1054. When there are shared devices, the historical connected devices in the historical connected device table are sorted based on the Bluetooth signal strength of the Bluetooth signal table of the device to obtain a strength sorting table. 1055. Establish a communication channel with the historical connection device with the highest signal strength in the strength ranking table, and enable audio acquisition of the microphone in the smartwatch.

[0029] In steps 1051-1055, the historical connected device table and the current device Bluetooth signal table are read first. It is then determined whether there is a common device in both tables, meaning a historically connected device is currently receiving its Bluetooth signal.

[0030] If there are no shared devices, it means that the current Bluetooth signals are from unfamiliar devices and there is no scenario where the microphone is used. Therefore, turn off the audio capture of the microphone in the smartwatch.

[0031] If there are shared devices, they are sorted by signal strength, and the device with the strongest signal strength is prioritized to establish a communication channel. After the communication channel is established, the smartwatch's microphone can be used to collect audio.

[0032] Of course, before enabling the smartwatch's microphone audio capture, you can read the location data of the external connected device, and then control the smartwatch's microphone audio capture to turn on or off based on whether the location data is within an electronic fence.

[0033] Furthermore, following step 1055, the following is also included: 10551. Receive the corresponding reverse control shutdown command for the historical connected device with the highest signal strength; 10552. Based on the reverse control shutdown command, turn off the audio acquisition of the microphone in the smartwatch.

[0034] In steps 10551-10552, a command to actively turn the microphone on and off can be set on the smartphone application. After receiving the reverse control shutdown command corresponding to the historical connected device with the highest signal strength, the audio acquisition of the microphone in the smartwatch is turned off by the reverse control shutdown command, so that the user can actively control the microphone to turn off and on.

[0035] 106. When an external connection device is present, the positioning data of the external connection device is read; In this embodiment, if there is an external connection device, the user will likely use the microphone at work or home. The user can set up an electronic fence and only turn on the microphone when the electronic fence is in place. If there is an external connection device, the user can read the location data of the external connection device.

[0036] 107. Based on the preset electronic fence and the positioning data, control the opening and closing of the audio acquisition of the microphone in the smartwatch.

[0037] In this embodiment, the system analyzes whether the location data is within an electronic fence. If it is within an electronic fence, the system controls the microphone in the smartwatch to turn on; otherwise, it controls the microphone in the smartwatch to turn off.

[0038] For details, please refer to Figure 4 , Figure 4 This is a schematic diagram of a specific embodiment of step 107 of the method for extending the microphone battery life of a smartwatch in this invention. Step 107 includes the following specific implementation methods: 1071. Determine whether the location data is within a preset electronic fence; 1072. When within a preset electronic fence, the three-axis inertial value of the inertial sensor in the smartwatch is read, and based on the three-axis inertial value, the audio acquisition of the microphone in the smartwatch is activated. 1073. When not within a preset electronic fence, the audio acquisition of the microphone in the smartwatch is turned off.

[0039] In steps 1071-1073, the location data is analyzed to determine if the device is within a preset geofence. If it is within the preset geofence, then in the microphone usage scenario, the smartwatch's movement needs to be gentle so that the microphone can clearly capture external sounds and human voices. The three-axis inertial values ​​of the inertial sensor in the smartwatch are read, and based on the values ​​of the three-axis inertial values, audio acquisition by the microphone in the smartwatch is activated. If the device is not within the preset geofence, audio acquisition by the microphone in the smartwatch is deactivated.

[0040] Furthermore, the specific implementation of step 1072, "based on the three-axis inertia value, enabling audio acquisition by the microphone in the smartwatch," includes: 10721. Determine whether the triaxial inertia value is within the preset motion calibration range; 10722. When within the preset motion calibration range, the audio acquisition of the microphone in the smartwatch is activated; 10723. When the device is not within the preset motion calibration range, the audio acquisition of the microphone in the smartwatch is turned off.

[0041] In steps 10721-10723, the triaxial inertia value [x, y, z] represents the triaxial acceleration value. If the triaxial acceleration value is within a preset motion calibration range, the current motion is considered not intense, and audio acquisition by the microphone in the smartwatch is activated. If the triaxial acceleration value is not within the preset motion calibration range, the current motion is considered intense, and audio acquisition by the microphone in the smartwatch is deactivated.

[0042] Furthermore, step 10721 includes the following specific implementation methods: 107211. Analyze whether the three-axis inertia values ​​are all within the corresponding axial inertia range; 107212. When all three axes are within their corresponding inertia range, the three-axis inertia values ​​are determined to be within the preset motion calibration range. 107213. When all three axes are not within the corresponding axis inertia range, it is determined that the three axis inertia values ​​are not within the preset motion calibration range.

[0043] In steps 107211-107213, the three-axis inertia values ​​[x, y, z] are analyzed to determine whether they fall within the inertia ranges corresponding to (x1, x2), (y1, y2), and (z1, z2), respectively. If all values ​​fall within their corresponding inertia ranges, the three-axis inertia values ​​are determined to be within the preset motion calibration range. If none of the values ​​fall within their corresponding inertia ranges, the three-axis inertia values ​​are determined to be outside the preset motion calibration range.

[0044] Furthermore, after "controlling the audio acquisition on / off of the microphone in the smartwatch" in steps 107 and 105, the following specific implementation method is also included: 107X. When the audio acquisition of the microphone in the smartwatch is turned on, the working power of the audio acquisition of the microphone in the smartwatch is controlled based on the preset VAD algorithm.

[0045] In step 107X, when the microphone's audio capture is enabled in the smartwatch, the VAD algorithm's dynamic sound threshold is used. When there is voice input, the microphone's audio capture power and corresponding operating current are increased to 300-350 mA, meaning high-power external sound capture. When there is no voice input, the microphone's audio capture power and corresponding operating current are reduced to 20-25 mA, meaning low-power external sound capture.

[0046] In this embodiment of the invention, by analyzing whether the user is awake or asleep, analyzing whether there is a connection interaction with an external device, and setting the microphone's working geographical area, the microphone signal acquisition is selectively activated when the user is awake, an external device is present, and the user is within the working geographical area; when the user is asleep, there are no external settings, and the user is not within the working geographical area, the microphone signal acquisition is deactivated to conserve power. Through analysis of smartwatch usage scenarios, and by selectively activating and deactivating the microphone signal acquisition without requiring real-time external audio acquisition while the watch is powered on, the power consumption of the microphone is effectively reduced without affecting the user experience, thus solving the technical problem of difficulty in effectively controlling the reduction of battery life caused by the smartwatch microphone.

[0047] Figure 5This is a schematic diagram of a message identification and transmission device 500 provided in an embodiment of the present invention. The message identification and transmission device 500 can vary significantly due to different configurations or performance characteristics. It may include one or more central processing units (CPUs) 510 and a memory 520, and one or more storage media 530 for storing application programs 533 or data 532. The memory 520 and storage media 530 may be temporary or persistent storage. The program stored in the storage media 530 may include one or more modules (not shown in the diagram), each module may include a series of instruction operations on the message identification and transmission device 500. Furthermore, the processor 510 may be configured to communicate with the storage media 530 and execute the series of instruction operations in the storage media 530 on the message identification and transmission device 500.

[0048] The message identification-based transmission device 500 may also include one or more power supplies 540, one or more wired or wireless network interfaces 550, one or more input / output interfaces 560, and / or one or more operating systems 531, such as Windows Server, Mac OS X, Unix, Linux, Free BSD, etc. Those skilled in the art will understand that... Figure 5 The illustrated message identification transmission device structure does not constitute a limitation on message identification-based transmission devices and may include more or fewer components than illustrated, or combine certain components, or have different component arrangements.

[0049] The present invention also provides a computer-readable storage medium, which may be a non-volatile computer-readable storage medium or a volatile computer-readable storage medium, wherein the computer-readable storage medium stores instructions that, when the instructions are executed on a computer, cause the computer to perform the steps of the microphone extended battery life method of the smartwatch.

[0050] In the context of this disclosure, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0051] Furthermore, although the operations are described in a specific order, this should be understood as requiring that such operations be performed in the specific order shown or in sequential order, or requiring that all illustrated operations be performed to achieve the desired result. In certain environments, multitasking and parallel processing may be advantageous. Similarly, although several specific implementation details are included in the above discussion, these should not be construed as limiting the scope of this disclosure. Certain features described in the context of individual embodiments may also be implemented in combination in a single implementation. Conversely, various features described in the context of a single implementation may also be implemented individually or in any suitable sub-combination in multiple implementations.

[0052] Although the subject matter has been described using language specific to structural features and / or methodological logic, it should be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or actions described above. Rather, the specific features and actions described above are merely illustrative examples of implementing the claims.

Claims

1. A method for extending the battery life of a smartwatch's microphone, characterized in that, Including the following steps: Acquire heart rate data collected by sensors in a smartwatch; Determine whether the heart rate data is greater than a preset wakefulness threshold; When the threshold for alertness is not greater than the preset threshold, the audio acquisition of the microphone in the smartwatch is turned off. When the alertness threshold is exceeded, it is determined whether the smartwatch has an external connected device. When there is no external connected device, the external Bluetooth signal strength is analyzed according to the preset signal detection algorithm to obtain the analysis result, and the audio acquisition of the microphone in the smartwatch is controlled to be turned on and off based on the analysis result. When an external connected device is present, the location data of the external connected device is read. Based on the preset electronic fence and the location data, the audio acquisition of the microphone in the smartwatch is controlled to be turned on and off.

2. The method for extending the battery life of a smartwatch's microphone according to claim 1, characterized in that, The steps of analyzing the external Bluetooth signal strength according to a preset signal detection algorithm, obtaining the analysis result, and controlling the audio acquisition on / off of the microphone in the smartwatch based on the analysis result include: Read the historical connected device table and the device Bluetooth signal table; Determine whether there are any shared devices between the historical connection device table and the device Bluetooth signal table; When no shared device is available, the audio capture of the microphone in the smartwatch is turned off; When there are shared devices, the historical connected devices in the historical connected device table are sorted based on the Bluetooth signal strength of the device's Bluetooth signal table to obtain a strength sorting table. Establish a communication channel with the historical connection device with the highest signal strength in the strength ranking table, and enable audio acquisition from the microphone in the smartwatch.

3. The method for extending the battery life of a smartwatch's microphone according to claim 2, characterized in that, After establishing a communication channel with the historical connection device with the highest signal strength in the strength ranking table and enabling audio acquisition by the microphone in the smartwatch, the method further includes: Receive the corresponding reverse control shutdown command for the historical connected device with the highest signal strength; Based on the reverse control shutdown command, the audio acquisition of the microphone in the smartwatch is turned off.

4. The method for extending the battery life of a smartwatch's microphone according to claim 1, characterized in that, The step of controlling the audio acquisition of the microphone in the smartwatch to be turned on and off based on the preset electronic fence and the positioning data includes: Determine whether the location data is within a preset electronic fence; When within a preset electronic fence, the three-axis inertial value of the inertial sensor in the smartwatch is read, and based on the three-axis inertial value, the audio acquisition of the microphone in the smartwatch is activated. When not within a preset electronic fence, the audio capture of the microphone in the smartwatch is turned off.

5. The method for extending the battery life of a smartwatch's microphone according to claim 4, characterized in that, The step of activating audio acquisition via the microphone in the smartwatch based on the three-axis inertia value includes: Determine whether the triaxial inertia value is within the preset motion calibration range; When the device is within the preset motion calibration range, the microphone in the smartwatch will be activated to capture audio. If the user is not within the preset motion calibration range, the audio acquisition of the microphone in the smartwatch will be turned off.

6. The method for extending the battery life of a smartwatch's microphone according to claim 5, characterized in that, The step of determining whether the triaxial inertia value is within the preset motion calibration range includes: Analyze whether the three-axis inertia values ​​are all within the corresponding axial inertia range; When all three axes are within their corresponding inertia range, the triaxial inertia values ​​are determined to be within the preset motion calibration range. If the inertia values ​​of the three axes are not all within the corresponding range of inertia, then it is determined that the inertia values ​​of the three axes are not within the preset motion calibration range.

7. The method for extending the battery life of a smartwatch's microphone according to claim 1, characterized in that, The step of determining whether the heart rate data is greater than a preset wakefulness threshold includes: Determine whether the heart rate data is empty; When the heart rate data is empty, the audio acquisition of the microphone in the smartwatch is turned off; If the heart rate data is not empty, then determine whether the heart rate data is greater than the preset wakefulness threshold.

8. The method for extending the battery life of a smartwatch's microphone according to claim 1, characterized in that, After controlling the microphone's audio acquisition on / off state in the smartwatch, the method further includes: When the microphone in the smartwatch is turned on for audio acquisition, the operating power of the microphone for audio acquisition in the smartwatch is controlled based on the preset VAD algorithm.

9. A message identification and transmission device, characterized in that, The message identification and transmission device includes: a memory and at least one processor, wherein the memory stores instructions, and the memory and the at least one processor are interconnected via a line; The at least one processor invokes the instructions in the memory to cause the message identification and transmission device to perform the microphone extended battery life method for a smartwatch as described in any one of claims 1-8.

10. A computer-readable storage medium storing a computer program thereon, characterized in that, When the computer program is executed by the processor, it implements the microphone extended battery life method for a smartwatch as described in any one of claims 1-8.

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