WO2024021727A9

WO2024021727A9 - Method for controlling incoming call to be mute, and electronic device

Info

Publication number: WO2024021727A9
Application number: PCT/CN2023/091978
Authority: WO
Inventors: 李丹洪
Original assignee: 荣耀终端有限公司
Priority date: 2022-07-29
Filing date: 2023-05-04
Publication date: 2024-03-28
Also published as: CN116033061A; CN116033061B; WO2024021727A1

Abstract

The present application relates to the field of terminals. Provided are a method for controlling an incoming call to be mute, and an electronic device. The method is applied to a system comprising a first electronic device and a second electronic device. The method comprises: detecting an incoming call of a first electronic device; in response to the incoming call, collecting data of an acceleration sensor in a second electronic device; obtaining information of a first peak value and information of a second peak value on the basis of the data of the acceleration sensor, wherein the first peak value is the amplitude of a first acceleration signal related to a first action of a user, and the second peak value is the amplitude of a second acceleration signal related to a second action of the user; and if the first action and the second action comply with a preset action and the direction of the first action is different from the direction of the second action, determining that the time difference is less than or equal to a first preset threshold value, and stopping part or all of prompt information of incoming calls in the first electronic device and/or the second electronic device. On the basis of the technical solution in the present application, an operation of muting an incoming call can be conveniently executed, thereby improving the user experience.

Description

Method and electronic device for controlling incoming call silence

This application claims priority to the Chinese patent application submitted to the State Intellectual Property Office on July 29, 2022, with the application number 202210910764.9 and the application title "Method and Electronic Device for Controlling Incoming Call Silence", the entire content of which is incorporated herein by reference. Applying.

Technical field

The present application relates to the field of terminals, and specifically, to a method and electronic device for controlling incoming call muting.

Background technique

With the development of social science and technology, wearable devices such as smart bracelets or smart watches are becoming more and more popular in daily life. Most of these wearable devices have functions such as calling, timing, step counting, or health monitoring. When the wearable device receives the incoming call information, if the user wants to answer or hang up the call, he or she needs to perform corresponding touch operations on the screen of the wearable device or operate the device buttons. In some scenarios where it is inconvenient for users to answer calls, wearable devices can be used to mute incoming calls.

However, the current method of controlling the mute of incoming calls requires the user to perform corresponding operations when the wearable device is in a fixed position (for example, with the display facing up); because when muting incoming calls, the wearable device needs to be placed in a fixed position, resulting in possible Wearable devices have great limitations in muting incoming calls, which is not conducive to users using wearable devices to mute incoming calls in various scenarios.

Therefore, how to mute incoming calls more intelligently and enable users to mute incoming calls based on more convenient operations has become an urgent problem that needs to be solved.

Contents of the invention

This application provides a method and electronic device for controlling incoming call muting, which enables users to more conveniently perform operations related to incoming call muting and improves user experience.

In a first aspect, a method for controlling incoming call muting is provided, applied to a system including a first electronic device and a second electronic device. The first electronic device is communicatively connected to the second electronic device. The second electronic device For wearable devices, the method includes:

An incoming call from the first electronic device is detected;

In response to the incoming call, collect data from the acceleration sensor in the second electronic device;

The information of the first peak and the information of the second peak are obtained based on the data of the acceleration sensor. The first peak is the first acceleration signal amplitude related to the user's first action. The first acceleration signal amplitude is The acceleration signal at the first moment, the second peak value is the second acceleration signal amplitude related to the user's second action, and the second acceleration signal amplitude is the acceleration signal at the second moment;

If the first action and the second action comply with the preset action, and the direction of the first action and the direction of the second action are different, determine the distance between the first moment and the second moment. The time difference is less than or equal to The first preset threshold is to stop part or all of the prompt information of the incoming call in the first electronic device and/or the second electronic device.

In embodiments of the present application, by obtaining data from an acceleration sensor in a second electronic device (for example, a wearable device); based on data from an acceleration sensor in a second electronic device (for example, a wearable device), it is possible to obtain information related to the user The first acceleration signal amplitude related to the first action and the second acceleration signal amplitude related to the user's second action; if the first action and the second action comply with the preset action, that is, the posture of the first action is consistent with the second action. The posture of the action conforms to the posture of the preset action, and the direction of the first action is different from the direction of the second action. Determine the distance between the first moment corresponding to the amplitude of the first acceleration signal and the second moment corresponding to the amplitude of the second acceleration signal. When the time difference is less than or equal to the first preset threshold, part or all of the prompt information for incoming calls in the first electronic device and/or the second electronic device can be stopped; that is, the first electronic device and/or the second electronic device can be Implement the incoming call mute function; in the embodiment of the present application, since the second electronic device (for example, a wearable device) does not need to be in a fixed position when detecting the first action and the second action of the user; in other words, the present application implements The method for controlling incoming call muting provided in the example can be applied to more scenarios. When performing operations related to incoming call muting, the user does not need to be limited to a fixed scene where the screen of the second electronic device (for example, a wearable device) is facing up and the palm is in the palm; therefore, The method for controlling incoming call muting provided by the embodiments of the present application can realize incoming call muting more intelligently, allowing users to perform operations related to incoming call muting more conveniently; and improving user experience.

It should be understood that detecting an incoming call from the first electronic device may refer to detecting whether the first electronic device is currently in a called state; for example, whether the first electronic device is currently in a called and unanswered state.

It should be understood that the embodiments of the present application are to mute the incoming calls of the first electronic device and/or the wearable device when the first electronic device receives an incoming call; therefore, when the first electronic device receives an incoming call, it is possible to The first electronic device is considered to be in a state of ringing and/or vibrating for incoming calls; in embodiments of the present application, it may not be considered that the first electronic device or the wearable device is in a silent state.

With reference to the first aspect, in some implementations of the first aspect, the preset action includes an action of turning the wrist.

In a possible implementation, the first action and the second action may be actions of the user turning the wrist in different directions.

In a possible implementation, the preset actions may also include actions with the user's intended direction, such as raising and lowering the wrist, extending and retracting the wrist, taking a step forward, or taking a step back.

With reference to the first aspect, in some implementations of the first aspect, it is determined that the time difference between the first moment and the second moment is less than or equal to a first preset threshold, and the first step is stopped. Part or all of the prompt information for the incoming call in the electronic device and/or the second electronic device includes:

It is determined that the time difference between the first moment and the second moment is less than or equal to a first preset threshold, and the ratio of the first acceleration signal amplitude to the second acceleration signal amplitude satisfies the first Scope, stop part or all of the prompt information of the incoming call in the first electronic device and/or the second electronic device.

In the embodiment of the present application, when the time difference between the first moment and the second moment is less than or equal to the first preset threshold, it is possible to further determine the difference between the amplitude of the first action and the amplitude of the second action. Whether the ratio between the amplitude of the first acceleration signal and the amplitude of the second acceleration signal satisfies the first range, that is, it is determined whether the ratio of the amplitude of the first acceleration signal amplitude to the amplitude of the second acceleration signal meets the first range; When the ratio of the amplitude values meets the first range, stop part or all of the prompt information for the incoming call in the first electronic device and/or the second electronic device, that is, mute the incoming call on the first electronic device and/or the wearable device; in this application In the embodiment, since in When the time difference between the first moment and the second moment meets the first preset threshold, the ratio of the amplitudes of the first action and the second action can be further judged; therefore, it is possible to a certain extent This effectively avoids user misoperation, thus improving the accuracy of muting incoming calls.

In conjunction with the first aspect, in some implementations of the first aspect, obtaining the first peak information and the second peak information based on the data of the acceleration sensor includes:

The data of the acceleration sensor is processed based on a peak-seeking algorithm to obtain a data set, where the data set includes information on the first peak and information on the second peak.

It should be understood that the peak-finding algorithm refers to finding the location of the peak or trough of a set of signals.

In the embodiment of the present application, the data based on the acceleration sensor can be used to detect whether there are peaks and troughs, that is, whether there is data about the first action and the second action (for example, turning the wrist twice); based on the data based on the acceleration sensor, it can be determined The position information of the wave peak and the wave trough; based on the position information, the time information corresponding to the wave peak and the wave trough can be obtained, thereby determining whether the time difference between the first moment and the second moment is less than or equal to the first preset threshold; in the time difference If the value satisfies the first preset threshold, mute the incoming call on the first electronic device and/or the second electronic device; that is, stop part or all of the prompt information for the incoming call in the first electronic device and/or the second electronic device.

Combined with the first aspect, in some implementations of the first aspect, the data of the acceleration sensor is processed based on a peak-finding algorithm to obtain a data set, including:

The data of the acceleration sensor is processed through a neural network model to obtain the data set, and the neural network model is used to run the peak-finding algorithm.

In the embodiments of the present application, the peak-finding algorithm can be performed on the data of the acceleration sensor through a neural network model; wherein the neural network model can include a convolutional neural network; executing the peak-finding algorithm through the neural network model can improve the operation of the peak-finding algorithm. Efficiency; thereby shortening the waiting time for the first electronic device and/or the second electronic device to mute incoming calls.

Combined with the first aspect, in some implementations of the first aspect, the data of the acceleration sensor is processed based on the peak-finding algorithm to obtain a data set, including:

Perform filtering processing on the data of the acceleration sensor to obtain processed data;

The processed data is processed based on the peak-finding algorithm to obtain the data set.

In the embodiment of the present application, part of the noise data can be eliminated by performing filtering data processing on the acquired acceleration sensor data, thereby ensuring the accuracy of the acceleration sensor data.

In combination with the first aspect, in some implementations of the first aspect, filtering the data of the acceleration sensor to obtain processed data includes:

Perform the filtering process on the data of the acceleration sensor based on a mean filter to obtain the processed data.

In the embodiment of the present application, the mean filter can be used for filtering processing; because the mean filter has good anti-noise performance for motion states with non-periodic motion and periodic motion; therefore, by using the mean filter, Filtering the acquired acceleration sensor data can effectively reduce the noise in the data.

In combination with the first aspect, in some implementations of the first aspect, the information of the first peak includes a first identifier, the first identifier is an identifier of a data frame corresponding to the first peak; the information of the second peak includes a second identifier, the second identifier is an identifier of a data frame corresponding to the second peak, and the time difference is based on the The time difference between the first identifier and the second identifier.

In combination with the first aspect, in some implementations of the first aspect, a direction of the first action is opposite to a direction of the second action.

In the embodiment of the present application, the direction of the first action and the direction of the second action can be opposite; after performing the first action, the user can perform a second action opposite to the direction of the first action, making the user's operation more convenient. Improve user experience.

With reference to the first aspect, in some implementations of the first aspect, the direction of the first action is opposite to the direction of the second action, including:

The direction of the first action is clockwise, and the direction of the second action is counterclockwise; or,

The direction of the first movement is counterclockwise, and the direction of the second movement is clockwise.

In conjunction with the first aspect, in some implementations of the first aspect, the first action is an action of turning the wrist for the first time, the second action is an action of turning the wrist for the second time; and the direction of the first time turning of the wrist is In the opposite direction to the second flip of your wrist as described.

It should be understood that in the embodiment of the present application, turning the wrist may refer to rotating the wrist.

In connection with the first aspect, in some implementations of the first aspect, the direction of turning the wrist for the first time is clockwise, and the direction of turning the wrist for the second time is counterclockwise; or,

The direction of turning the wrist for the first time is counterclockwise, and the direction of turning the wrist for the second time is clockwise.

In combination with the first aspect, in certain implementations of the first aspect, when the direction of the first wrist flip is clockwise and the direction of the second wrist flip is counterclockwise, the first peak value is a peak value and the second peak value is a trough value.

With reference to the first aspect, in some implementations of the first aspect, when the direction of turning the wrist for the first time is counterclockwise, and the direction of turning the wrist for the second time is clockwise, so The first peak value is the trough value, and the second peak value is the peak value.

With reference to the first aspect, in some implementations of the first aspect, collecting data from an acceleration sensor in the second electronic device includes:

The data of the acceleration sensor in the second electronic device is collected within a preset time period, and the preset time period is the time period of the incoming call.

In the embodiment of the present application, collecting the data of the acceleration sensor in the second electronic device may mean that when an incoming call from the first electronic device is detected, collecting the data from the acceleration sensor in the second electronic device within the time period of the incoming call from the first electronic device. data; in other words, when no incoming call from the first electronic device is detected, the data of the acceleration sensor in the second electronic device does not need to be collected; thus, to a certain extent, it is possible to avoid collecting the data of the acceleration sensor in the second electronic device all the time. This leads to the problem of high power consumption.

In a possible implementation, the data of the acceleration sensor in the second electronic device can be collected all the time; that is, when no incoming call from the first electronic device is detected, the data of the acceleration sensor in the second electronic device can also be collected; when detecting After the first electronic device receives a call, the data of the acceleration sensor in the second electronic device can be continued to be collected, and the data can be processed by a peak-finding algorithm to determine whether the first peak and the second peak can be detected in the data. Based on the first peak The information and the second peak information perform silent incoming calls on the first electronic device and/or the second electronic device.

With reference to the first aspect, in some implementations of the first aspect, stopping the first electronic device and/or Or part or all of the prompt information of the incoming call in the second electronic device, including:

Stop all prompt information of the incoming call in the first electronic device and/or the second electronic device.

In embodiments of the present application, when performing silent incoming calls on the first electronic device and/or the second electronic device, all prompt information in the first electronic device and/or the second electronic device may be stopped, so that the first electronic device And/or the second electronic device will not provide any reminder to the user, reducing the impact of the incoming call on the user.

With reference to the first aspect, in some implementations of the first aspect, the stopping of all prompt information for the incoming calls in the first electronic device and/or the second electronic device includes:

Stop all prompt information of the incoming call in the first electronic device and the second electronic device.

In embodiments of the present application, when silencing an incoming call on the first electronic device and/or the second electronic device, all prompt information for the incoming call in the first electronic device and the second electronic device can be stopped; thus, it is inconvenient for the user to answer the call. In the case of a telephone, the user can mute the first electronic device and the second device through simple operations.

In a possible implementation, stopping part or all of the prompt information for the incoming call in the first electronic device and/or the second electronic device includes:

Stop part of the prompt information of the incoming call in the first electronic device and/or the second electronic device.

In a possible implementation, stopping part of the prompt information of the incoming call in the first electronic device and/or the second electronic device includes:

Stop part of the prompt information of the incoming call in the first electronic device and the second electronic device.

With reference to the first aspect, in some implementations of the first aspect, the prompt information includes ring prompt information and/or vibration prompt information.

With reference to the first aspect, in some implementations of the first aspect, the communication connection between the first electronic device and the second electronic device includes:

The first electronic device and the second electronic device are connected wirelessly, or the first electronic device and the second electronic device are connected via Bluetooth.

In a possible implementation, the communication connection between the first electronic device and the second electronic device can also be achieved through other methods.

Combined with the first aspect, some implementations of the first aspect also include:

Display the first interface;

A first operation is detected in the first interface, and the first operation is an operation indicating to turn on muting of incoming calls.

In a second aspect, an electronic device is provided, including a module/unit for executing the method of controlling incoming call muting in the first aspect or any one of the implementations of the first aspect.

In a third aspect, an electronic device is provided. The electronic device includes one or more processors and a memory; the memory is coupled to the one or more processors, and the memory is used to store computer program codes. The computer program code includes computer instructions that are invoked by the one or more processors to cause the electronic device to perform:

Detecting an incoming call to the first electronic device;

The information of the first peak and the information of the second peak are obtained based on the data of the acceleration sensor. The first peak is the first acceleration signal amplitude related to the user's first action. The first acceleration signal amplitude is The acceleration signal at the first moment, the second peak value is the second acceleration signal related to the second action of the user Amplitude, the second acceleration signal amplitude is the acceleration signal at the second moment;

If the first action and the second action comply with the preset action, and the direction of the first action and the direction of the second action are different, determine the distance between the first moment and the second moment. If the time difference is less than or equal to the first preset threshold, part or all of the prompt information of the incoming call in the first electronic device and/or the second electronic device is stopped.

Optionally, the above-mentioned electronic device may be the first electronic device in the first aspect or the second electronic device in the first aspect.

In conjunction with the third aspect, in some implementations of the third aspect, the one or more processors invoke the computer instructions to cause the electronic device to execute:

The data of the acceleration sensor is processed by a neural network model to obtain the data set, and the neural network model is used to run the peak-finding algorithm.

With reference to the third aspect, in some implementations of the third aspect, the information of the first peak includes a first identifier, and the first identifier is an identifier of the data frame corresponding to the first peak; the second The peak information includes a second identifier, the second identifier is an identifier of the data frame corresponding to the second peak, and the time difference is a time difference obtained based on the first identifier and the second identifier.

In conjunction with the third aspect, in some implementations of the third aspect, the direction of the first action is opposite to the direction of the second action.

Combined with the third aspect, in some implementations of the third aspect, the direction of the first action is opposite to the direction of the second action, including:

The direction of the first action is counterclockwise, and the direction of the second action is clockwise.

In conjunction with the third aspect, in some implementations of the third aspect, the one or more processors call the Computer instructions to cause the electronic device to perform:

Combined with the third aspect, in some implementations of the third aspect, the first peak value is the first acceleration signal amplitude collected based on the first action of the user; the second peak value is based on the first action of the user. The second acceleration signal amplitude collected by the user's second action.

Combined with the third aspect, in some implementations of the third aspect, the preset action includes an action of turning the wrist.

In combination with the third aspect, in some implementations of the third aspect, the prompt information includes ringing prompt information and/or vibration prompt information.

The communication connection between the first electronic device and the second electronic device includes:

Display the first interface;

A fourth aspect provides an electronic device. The electronic device includes one or more processors and memories; the memory is coupled to the one or more processors, and the memory is used to store computer program codes, and the The computer program code includes computer instructions, and the one or more processors invoke the computer instructions to cause the electronic device to execute the method of controlling incoming call muting in the first aspect or any implementation of the first aspect.

In a fifth aspect, a chip system is provided. The chip system is applied to an electronic device. The chip system includes one or more processors. The processor is used to call computer instructions to cause the electronic device to execute the first aspect. Or the method for controlling incoming call muting in any implementation manner of the first aspect.

In a sixth aspect, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program code. When the computer program code is executed by an electronic device, the electronic device implements the method for controlling incoming call muting in the first aspect or any one of the implementations of the first aspect.

In a seventh aspect, a computer program product is provided. The computer program product includes: computer program code. When the computer program code is run by an electronic device, the electronic device causes the electronic device to execute the first aspect or any of the first aspects. A method of controlling incoming call muting in an implementation manner.

Description of drawings

Figure 1 is a schematic diagram of a hardware system suitable for electronic equipment of the present application;

Figure 2 is a schematic diagram of a software system suitable for interaction between electronic devices and wearable devices of the present application;

Figure 3 is a schematic diagram of an application scenario suitable for the embodiment of the present application;

Figure 4 is a schematic flow chart of a method for controlling incoming call muting provided by an embodiment of the present application;

Figure 5 is a schematic diagram of an acceleration signal collected by an acceleration sensor provided by an embodiment of the present application;

Figure 6 is a schematic diagram of the direction of the user's first action or second action provided by an embodiment of the present application;

Figure 7 is a schematic flow chart of a method for controlling incoming call muting provided by an embodiment of the present application;

Figure 8 is an interactive flow chart of a method for controlling incoming call muting provided by an embodiment of the present application;

Figure 9 is an interactive flow chart of a method for controlling incoming call muting provided by an embodiment of the present application;

Figure 10 is an interactive flow chart of a method for controlling incoming call muting provided by an embodiment of the present application;

Figure 11 is a schematic flow chart of a method for obtaining tag values based on data from an acceleration sensor provided by an embodiment of the present application;

Figure 12 is a schematic flow chart of another method for obtaining tag values based on data from an acceleration sensor provided by an embodiment of the present application;

Figure 13 is a schematic flow chart of a method for obtaining tag values based on data from an acceleration sensor provided by an embodiment of the present application;

Figure 14 is a schematic diagram of a graphical user interface of a wearable device provided by an embodiment of the present application;

FIG15 is a schematic diagram of a graphical user interface of another wearable device provided in an embodiment of the present application;

Figure 16 is a schematic diagram of a graphical user interface of an electronic device provided by an embodiment of the present application;

FIG17 is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application;

FIG. 18 is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application.

Detailed ways

In the embodiments of this application, the following terms “first”, “second”, etc. are only used for descriptive purposes and cannot It is understood as indicating or implying the relative importance or implicitly indicating the quantity of the indicated technical features. Therefore, features defined as "first" and "second" may explicitly or implicitly include one or more of these features. In the description of this embodiment, unless otherwise specified, "plurality" means two or more.

In order to facilitate understanding of the embodiments of the present application, the relevant concepts involved in the embodiments of the present application are briefly described first.

1. Silence incoming calls

Incoming call mute means that when the terminal device is called (for example, there is a new incoming call), the terminal device changes from the ringing state to the silent state without hanging up the call.

2. Acceleration sensor

An acceleration sensor is a device in a terminal device that can measure acceleration.

3. Peak finding algorithm

The peak-finding algorithm refers to an algorithm used to find the location of peaks or valleys in a set of signals.

Figure 1 shows a hardware system suitable for the electronic device of the present application.

The electronic device 100 may be a mobile phone, a smart screen, a tablet, a wearable electronic device, a vehicle-mounted electronic device, an augmented reality (AR) device, a virtual reality (VR) device, a notebook computer, or a super mobile personal computer ( Ultra-mobile personal computer (UMPC), netbook, personal digital assistant (personal digital assistant, PDA), projector, etc. The embodiment of the present application does not place any restrictions on the specific type of the electronic device 100.

The electronic device 100 may include a processor 110, an external memory interface 120, an internal memory 121, a universal serial bus (USB) interface 130, a charging management module 140, a power management module 141, a battery 142, an antenna 1, an antenna 2 , mobile communication module 150, wireless communication module 160, audio module 170, speaker 170A, receiver 170B, microphone 170C, headphone interface 170D, sensor module 180, button 190, motor 191, indicator 192, camera 193, display screen 194, and Subscriber identification module (SIM) card interface 195, etc. The sensor module 180 may include a pressure sensor 180A, a gyro sensor 180B, an air pressure sensor 180C, a magnetic sensor 180D, an acceleration sensor 180E, a distance sensor 180F, a proximity light sensor 180G, a fingerprint sensor 180H, a temperature sensor 180J, a touch sensor 180K, and ambient light. Sensor 180L, bone conduction sensor 180M, etc.

It should be noted that the structure shown in FIG1 does not constitute a specific limitation on the electronic device 100. In other embodiments of the present application, the electronic device 100 may include more or fewer components than those shown in FIG1, or the electronic device 100 may include a combination of some of the components shown in FIG1, or the electronic device 100 may include sub-components of some of the components shown in FIG1. The components shown in FIG1 may be implemented in hardware, software, or a combination of software and hardware.

Processor 110 may include one or more processing units. For example, the processor 110 may include at least one of the following processing units: an application processor (AP), a modem processor, a graphics processing unit (GPU), an image signal processor (image signal processor) , ISP), controller, video codec, digital signal processor (DSP), baseband processor, neural-network processing unit (NPU). Among them, different processing units can be independent devices or integrated devices. The controller can generate operation control signals based on the instruction operation code and timing signals to complete the control of fetching and executing instructions.

The processor 110 may also be provided with a memory for storing instructions and data. In some embodiments, the memory in processor 110 is cache memory. This memory may hold instructions or data that have been recently used or recycled by processor 110 . If the processor 110 needs to use the instructions or data again, it can be called directly from the memory. Repeated access is avoided and the waiting time of the processor 110 is reduced, thus improving the efficiency of the system.

In some embodiments, processor 110 may include one or more interfaces. For example, the processor 110 may include at least one of the following interfaces: an inter-integrated circuit (I2C) interface, an inter-integrated circuit sound (I2S) interface, pulse code modulation, PCM) interface, universal asynchronous receiver/transmitter (UART) interface, mobile industry processor interface (MIPI), general-purpose input/output (GPIO) interface, SIM interface, USB interface.

Illustratively, in the embodiment of the present application, the processor 110 may be used to execute the method for controlling incoming call muting provided in the embodiment of the present application; for example, detecting an incoming call from the first electronic device; in response to the incoming call, collecting data from the second electronic device The data of the acceleration sensor; the information of the first peak value and the information of the second peak value are obtained based on the data of the acceleration sensor. The first peak value is the first acceleration signal amplitude related to the user's first action, and the first acceleration signal amplitude is The acceleration signal at the first moment, the second peak value is the second acceleration signal amplitude related to the user's second action, and the second acceleration signal amplitude is the acceleration signal at the second moment; if the first action and the second action meet the predetermined Assume an action, and the direction of the first action and the direction of the second action are different, determine that the time difference between the first moment and the second moment is less than or equal to the first preset threshold, stop the first electronic device and/or the second Part or all of the prompt information for incoming calls in an electronic device.

The connection relationship between the modules shown in FIG. 1 is only a schematic illustration and does not constitute a limitation on the connection relationship between the modules of the electronic device 100 . Optionally, each module of the electronic device 100 may also adopt a combination of various connection methods in the above embodiments.

The wireless communication function of the electronic device 100 can be implemented through antenna 1, antenna 2, mobile communication module 150, wireless communication module 160, modem processor, baseband processor and other components.

Antenna 1 and Antenna 2 are used to transmit and receive electromagnetic wave signals. Each antenna in electronic device 100 may be used to cover a single or multiple communication frequency bands. Different antennas can also be reused to improve antenna utilization. For example: Antenna 1 can be reused as a diversity antenna for a wireless LAN. In other embodiments, antennas may be used in conjunction with tuning switches.

The electronic device 100 can realize the display function through the GPU, the display screen 194 and the application processor. The GPU is a microprocessor for image processing, which connects the display screen 194 and the application processor. The GPU is used to perform mathematical and geometric calculations for graphics rendering. The processor 110 may include one or more GPUs, which execute program instructions to generate or change display information.

Display 194 may be used to display images or videos.

Optionally, display screen 194 may be used to display images or videos. Display 194 includes a display panel. The display panel can use liquid crystal display (LCD), organic light-emitting diode (OLED), active-matrix organic light-emitting diode (AMOLED), flexible Light-emitting diode (flex light-emitting diode, FLED), mini light-emitting diode (mini light-emitting diode, Mini LED), micro light-emitting diode (micro light-emitting diode (Micro LED), micro OLED (Micro OLED) or quantum dot light emitting diodes (QLED). In some embodiments, the electronic device 100 may include 1 or N display screens 194, where N is a positive integer greater than 1.

The electronic device 100 can implement the shooting function through an ISP, a camera 193, a video codec, a GPU, a display screen 194, an application processor, and the like.

The ISP is used to process the data fed back by the camera 193. For example, when taking a photo, the shutter is opened, the light is transmitted to the camera sensor through the camera, the optical signal is converted into an electrical signal, and the camera sensor passes the electrical signal to the ISP for processing, and converts it into an image visible to the naked eye. ISP can algorithmically optimize the noise, brightness and color of the image. ISP can also optimize parameters such as exposure and color temperature of the shooting scene. In some embodiments, the ISP may be provided in the camera 193.

The camera 193 (which may also be called a lens) is used to capture still images or videos. It can be triggered by application instructions to realize the camera function, such as capturing images of any scene. The camera can include imaging lenses, filters, image sensors and other components. The light emitted or reflected by the object enters the imaging lens, passes through the optical filter, and finally converges on the image sensor. The imaging lens is mainly used to collect and image the light emitted or reflected by all objects in the camera angle (which can also be called the scene to be shot, the target scene, or the scene image that the user expects to shoot); the filter is mainly used to To filter out excess light waves in the light (such as light waves other than visible light, such as infrared); the image sensor can be a charge coupled device (CCD) or a complementary metal-oxide-semiconductor (CMOS) ) phototransistor. The image sensor is mainly used to photoelectrically convert the received optical signal into an electrical signal, and then transfer the electrical signal to the ISP to convert it into a digital image signal. ISP outputs digital image signals to DSP for processing. DSP converts digital image signals into standard RGB, YUV and other format image signals.

For example, the digital signal processor is used to process digital signals. In addition to processing digital image signals, it can also process other digital signals. For example, when the electronic device 100 selects a frequency point, the digital signal processor is used to perform Fourier transform on the frequency point energy.

Illustratively, video codecs are used to compress or decompress digital video. Electronic device 100 may support one or more video codecs. In this way, the electronic device 100 can play or record videos in multiple encoding formats, such as: moving picture experts group (MPEG) 1, MPEG2, MPEG3 and MPEG4.

For example, the gyro sensor 180B may be used to determine the motion posture of the electronic device 100 . In some embodiments, the angular velocity of electronic device 100 about three axes (ie, x-axis, y-axis, and z-axis) may be determined by gyro sensor 180B. The gyro sensor 180B can be used for image stabilization. For example, when the shutter is pressed, the gyro sensor 180B detects the angle at which the electronic device 100 shakes, and calculates the distance that the lens module needs to compensate based on the angle, so that the lens can offset the shake of the electronic device 100 through reverse movement to achieve anti-shake. The gyro sensor 180B can also be used in scenarios such as navigation and somatosensory games.

For example, the acceleration sensor 180E can detect the acceleration of the electronic device 100 in various directions (generally the x-axis, y-axis, and z-axis). When the electronic device 100 is stationary, the magnitude and direction of gravity can be detected. The acceleration sensor 180E can also be used to identify the posture of the electronic device 100 as an input parameter for applications such as horizontal and vertical screen switching and pedometer.

Illustratively, distance sensor 180F is used to measure distance. The electronic device 100 can measure by infrared or laser measure distance. In some embodiments, such as in a shooting scene, the electronic device 100 may utilize the distance sensor 180F to measure distance to achieve fast focusing.

Illustratively, the ambient light sensor 180L is used to sense ambient light brightness. The electronic device 100 can adaptively adjust the brightness of the display screen 194 according to the perceived ambient light brightness. The ambient light sensor 180L can also be used to automatically adjust the white balance when taking pictures. The ambient light sensor 180L can also cooperate with the proximity light sensor 180G to detect whether the electronic device 100 is in the pocket to prevent accidental touching.

Illustratively, fingerprint sensor 180H is used to collect fingerprints. The electronic device 100 can use the collected fingerprint characteristics to implement functions such as unlocking, accessing application locks, taking photos, and answering incoming calls.

For example, the touch sensor 180K is also called a touch device. The touch sensor 180K can be disposed on the display screen 194. The touch sensor 180K and the display screen 194 form a touch screen. The touch screen is also called a touch screen. The touch sensor 180K is used to detect a touch operation acted on or near the touch sensor 180K. The touch sensor 180K may pass the detected touch operation to the application processor to determine the touch event type. Visual output related to the touch operation may be provided through display screen 194 . In other embodiments, the touch sensor 180K may also be disposed on the surface of the electronic device 100 and at a different position from the display screen 194 .

The hardware system of the electronic device 100 is described in detail above, and the software system of the electronic device 100 is introduced below.

Figure 2 is a schematic diagram of a software system for interaction between an electronic device and a wearable device provided by an embodiment of the present application.

In one example, as shown in FIG. 2 , the system architecture may include an electronic device 100 and a wearable device 200 ; wherein the electronic device 100 may include an application layer 310 , an application framework layer 320 , a hardware abstraction layer 330 and a sensor algorithm layer 340 ; The wearable device 200 may include an acceleration sensor and a Bluetooth module.

Optionally, the electronic device 100 may further include a hardware layer; the hardware layer may further include hardware devices in the electronic device.

Exemplarily, the application layer 310 in the electronic device may include sports health applications or other applications; other applications include but are not limited to: camera applications, gallery, calendar, call, map, navigation, WLAN, Bluetooth, music, video, short message and other applications.

For example, the application framework layer 320 in the electronic device provides an application programming interface (API) and programming framework for applications in the application layer; the application framework layer may include some predefined functions.

Illustratively, a hardware abstraction layer 330 in an electronic device is used to abstract hardware.

For example, the hardware abstraction layer may include a hardware abstraction module 331; where the hardware abstraction module 331 may be used to run algorithms that occupy larger memory and consume higher power; for example, the hardware abstraction module 331 may be used to run peak-finding algorithms, etc. Optionally, for the peak-finding algorithm, please refer to the subsequent description of S906 in Figure 11 or S1006 in Figure 12 .

For example, muting an incoming call may refer to the related algorithm of the method for controlling the muting of an incoming call provided by the embodiment of the present application; similarly, the method of controlling the muting of an incoming call provided by the embodiment of the present application may also be applied to other scenarios that require muting; for example , silent alarm clock or silent video calls, etc. Optionally, the underlying algorithm module may also include algorithms related to answering calls.

Optionally, interactive communication can be implemented between the hardware abstraction module 331 and the underlying algorithm module; for example, the output data of the underlying algorithm module can be used as the input data of the hardware abstraction module 331, thereby realizing the optimization of high-power-consuming algorithms.

Alternatively, the hardware abstraction module 331 and the underlying algorithm module may be located in the same hardware in the electronic device; or, the hardware abstraction module 331 and the underlying algorithm module may be located in different hardware in the electronic device.

For example, the hardware abstraction module 331 and the underlying algorithm module may be located on the same chip in the electronic device; or, the fused hardware abstraction module 331 and the underlying algorithm module may be located on different chips in the electronic device.

Optionally, the Bluetooth hardware abstraction module can include a modem hardware abstraction (modem HAL) module; the modem HAL module can be used to perform modulation and demodulation processing on the available data.

For example, the sensor algorithm layer 340 in the electronic device may include running a low-power underlying algorithm module in the electronic device; for example, the underlying algorithm module may run an algorithm that occupies less memory and consumes less power; for example, the underlying algorithm Modules may include but are not limited to: muting incoming calls, muting alarm clocks, muting incoming video calls.

Optionally, the electronic device 100 may also include a hardware layer; the hardware layer may also include hardware devices in the electronic device.

Optionally, a driver layer may also be included between the sensor algorithm layer 340 and the hardware layer; the driver layer may be used to provide drivers for different hardware devices.

For example, the wearable device 200 may include an acceleration sensor and a Bluetooth module; the acceleration sensor may be used to collect data from the acceleration sensor; the Bluetooth module may be used to implement data transmission with other devices; for example, in the wearable device The Bluetooth module can transmit data with the Bluetooth hardware abstraction module in the electronic device.

In the embodiment of the present application, for electronic devices, the Bluetooth hardware abstraction module in the hardware abstraction layer 330 cannot transmit data with other modules in the hardware abstraction layer; therefore, in the application framework layer 320 of the electronic device, It can include a transmission module, which can receive data from the Bluetooth hardware abstraction module and send the data in the Bluetooth hardware abstraction module to the smart sensor fusion hardware abstraction module 331; in other words, through the Bluetooth hardware abstraction module in the electronic device The transmission module can realize data transmission between electronic devices and wearable devices.

Optionally, the electronic device and the wearable device may also be connected wirelessly or through other means of communication; this application does not limit this in any way.

Optionally, in the embodiment of the present application, if the wearable device has certain computing power and storage space, the peak-finding algorithm and/or the underlying algorithm running in the electronic device can also be run in the wearable device.

Currently, the method of controlling the muting of incoming calls requires the user to perform corresponding operations when the wearable device is in a fixed position (for example, with the display facing up); for example, when performing muting of incoming calls, the screen needs to be facing up and the palm of the hand is turned downward; however, In some scenarios, for example, when the user is lying on the bed or the user is driving, the screen may be facing up and the palm of the hand may not be convenient for the user to operate; therefore, when muting incoming calls, the wearable device needs to be placed in a fixed position. , resulting in greater limitations in muting incoming calls through wearable devices, which is not conducive to users using wearable devices to mute incoming calls in various scenarios.

In view of this, the present application provides a method for controlling incoming call muting by obtaining data from an acceleration sensor in a second electronic device (for example, a wearable device); based on the acceleration in the second electronic device (for example, a wearable device) From the sensor data, the first acceleration signal amplitude related to the user's first action and the second acceleration signal amplitude related to the user's second action can be obtained; if the first action and the second action comply with the preset action, that is The posture of the first action and the posture of the second action conform to the posture of the preset action, and the direction of the first action and the direction of the second action are different. Determine the first moment corresponding to the amplitude of the first acceleration signal and the amplitude of the second acceleration signal. value pair When the time difference between the corresponding second moments is less than or equal to the first preset threshold, part or all of the prompt information for the incoming call in the first electronic device and/or the second electronic device can be stopped; that is, the first electronic device can be And/or the second electronic device implements the incoming call muting function; in the embodiment of the present application, since the second electronic device (for example, a wearable device) does not need to be in a fixed position when detecting the user's first action and second action; instead In other words, the method for controlling incoming call muting provided by the embodiments of the present application can be applied to more scenarios. When performing operations related to incoming call muting, the user does not need to be limited to the screen of the second electronic device (for example, a wearable device) facing up and Fixed scene in the palm of the hand; therefore, the method for controlling incoming call muting provided by the embodiment of the present application can more intelligently realize incoming call muting, allowing the user to more conveniently perform operations related to incoming call muting; and improve the user experience.

The application scenarios of the method for controlling incoming call muting provided by the embodiment of the present application will be described below with reference to FIG. 3 . As shown in Figure 3, the method for muting incoming calls provided by the embodiment of the present application can be applied to the scene of muting incoming calls; for example, the user can carry the wearable device 200, the user is lying down and the electronic device 100 is far away from the user. At this time, the electronic device is in a ringing and vibrating state for incoming calls; since it is inconvenient for the user to answer the phone, the user can realize the function of muting incoming calls by rotating the wearable device 200; for example, the user can realize the function of muting the incoming calls by turning the wrist twice. Silence function for incoming calls on device and/or wearable device.

Optionally, the incoming call mute function can include any of the following:

The electronic device stops prompting information for incoming calls without hanging up the phone, the wearable device stops prompting information for incoming calls without hanging up the phone, or both the electronic device and the wearable device stop prompting information for incoming calls without hanging up the phone.

The electronic device stops ringing and does not hang up the phone. The electronic device stops ringing and does not hang up the phone. The electronic device stops vibrating and does not hang up the phone. The electronic device stops ringing and vibrating but does not hang up the phone.

The wearable device stops ringing and does not hang up the call. The wearable device stops ringing and does not hang up the call. The wearable device stops vibrating and does not hang up the phone. The wearable device stops ringing and vibrating and does not hang up. Telephone.

Optionally, the method for controlling the muting of incoming calls provided by the embodiments of the present application is also applicable to the scenario of muting an incoming video call, or the scenario of muting an alarm clock, etc.

The method for controlling incoming call muting provided by the embodiment of the present application will be described in detail below with reference to FIGS. 4 to 14 .

Figure 4 is a schematic flow chart of a method for controlling incoming call muting provided by an embodiment of the present application. The method 400 includes S410 to S440, and S410 to S440 are described in detail below respectively.

It should be understood that the method for muting incoming calls provided by the embodiments of the present application can be applied to a system including a first electronic device and a second electronic device, the first electronic device is communicatively connected to the second electronic device, and the second electronic device is a wearable device; The first electronic device may refer to the electronic device 100 as shown in FIG. 1 or FIG. 2 ; the second electronic device may refer to the wearable device 200 as shown in FIG. 2 .

Optionally, the communication connection between the first electronic device and the second electronic device includes: a wireless connection between the first electronic device and the second electronic device, or a Bluetooth connection between the first electronic device and the second electronic device, or a communication connection between the first electronic device and the second electronic device in other ways, and this application does not impose any limitations on this.

Optionally, the method 400 as shown in FIG. 4 may be executed in the first electronic device, that is, the method 400 may be executed in the electronic device 100 as shown in FIG. 1 or 2 .

Optionally, in the case where the second electronic device has certain storage space and computing power, as shown in Figure 4 The method 400 shown may be executed in the second electronic device, that is, the method 400 may be executed in the wearable device 200 as shown in FIG. 2 .

S410. An incoming call from the first electronic device is detected.

Alternatively, the first electronic device may detect an incoming call from the first electronic device, or the second electronic device may detect a specific incoming call from the first electronic device.

For example, detecting an incoming call from the first electronic device may refer to detecting that the first electronic device is currently in a called state; for example, the first electronic device is currently in a called and unanswered state.

S420: In response to the incoming call, collect data from an acceleration sensor in the second electronic device.

In one example, when an incoming call from the first electronic device is not detected, data from the acceleration sensor in the second electronic device is collected; when an incoming call from the first electronic device is detected, data from the acceleration sensor in the second electronic device is collected, and the Processing the data of the acceleration sensor; detecting whether the data of the acceleration sensor in the second electronic device includes the first peak value and the second peak value during the time period when the first electronic device receives a call; based on the information of the first peak value and the second peak value The information determines whether to perform silent incoming calls on the first electronic device and/or the second electronic device; that is, determines whether to stop part or all of the prompt information for the incoming calls to the first electronic device in the first electronic device and/or the second electronic device.

In one example, when an incoming call from the first electronic device is not detected, data from the acceleration sensor in the second electronic device may not be collected; when an incoming call from the first electronic device is detected, data from the acceleration sensor in the second electronic device is collected.

Optionally, collecting data of an acceleration sensor in the second electronic device includes:

The data of the acceleration sensor in the second electronic device is collected within a preset time period, and the preset time period is the time period when the first electronic device receives a call.

S430. Obtain the first peak information and the second peak information based on the data of the acceleration sensor. The first peak value is the first acceleration signal amplitude related to the user's first action, and the second peak value is related to the user's second action. The amplitude of the second acceleration signal.

Wherein, the first acceleration signal amplitude is the acceleration signal at the first time; the second acceleration signal amplitude is the acceleration signal at the second time.

It should be noted that the data in the acceleration sensor may include data from the acceleration sensor in the second electronic device collected during the time period when a call is incoming to the first electronic device; or, the data in the acceleration sensor may include data from the acceleration sensor in the second electronic device collected during the time period when a call is incoming to the first electronic device and during the time period when there will be no future calls; that is, the data in the acceleration sensor may include data that is not related to the incoming call.

It should be understood that the first moment and the second moment are different moments.

It should also be understood that the first peak value is the first acceleration signal amplitude related to the user's first action, which may mean that the first peak value is the result of the user's first action in the second electronic device collected when the user performs the first action. The amplitude of the acceleration signal generated by the action; similarly, the second peak value is the amplitude of the second acceleration signal related to the user's second action, It may refer to the amplitude of the acceleration signal generated by the user's second action in the second electronic device collected when the user performs the second action.

Optionally, obtaining information about the first peak value and information about the second peak value based on data from the acceleration sensor includes:

The data of the acceleration sensor are processed based on the peak-seeking algorithm to obtain a data set, which includes the information of the first peak and the information of the second peak.

Optionally, the peak-finding algorithm may include but is not limited to: comparison method, derivative method, constant false alarm rate (Constant False-Alarm Rate, CFAR) algorithm, symmetric zero-area algorithm, linear fitting peak-finding algorithm, etc.

Among them, the comparison method is to first smooth the data and compare the maximum values to obtain the position of the peak or trough; the derivative method is to first smooth the data and then perform first-order, second-order, and third-order derivation of the data. data; obtain the average value of the derivation data, set the threshold based on the average value, and then perform peak filtering; the CFAR algorithm refers to setting two window functions; perform window smoothing to obtain the optimized curve; obtain the average value of the data, and then perform peak filtering based on the average value Set the threshold and then perform peak screening; the symmetric zero area algorithm refers to selecting a simple symmetric zero area function as the change function; setting the window function according to the symmetric zero area; the net area of the peak is greater than the total area of the peak (the net area of the peak and the background When the standard deviation of the sum of areas) is several times greater, it is confirmed that the peak is a true peak. The linear fitting peak-finding algorithm refers to obtaining the linear function coefficients according to the least squares method; obtaining the fitting curve according to the fitting function; and calculating the corresponding peak height and peak width based on the fitting curve. Optionally, for the specific algorithm, please refer to the relevant description of S906 in Figure 11, which will not be described again here.

Optionally, the data set may include multiple sets of data, each set of data including the sequence number of the frame - the identification of the peak or trough.

Optionally, the data set may include multiple sets of data, each set of data including the sequence number of the frame - the identification of the peak or trough - and the amplitude value.

For example, the data set may include data group 1, data group 2, data group 3, etc.; among which, data group 1 may be the 0th frame - flag4-0.5; data group 2 may be the 2nd frame - flag2-1.5; and the third group The data can be frame 3-flag3-1.4; among them, flag2 can represent the peak; flag3 can represent the trough; flag4 can represent non-peak and trough.

For example, assuming that the clockwise direction is the positive direction, the direction of the user's first action (for example, flipping the wrist for the first time) is counterclockwise, and the direction of the second action (for example, flipping the wrist for the second time) is clockwise. direction, as shown in Figure 5; Figure 5 is a schematic diagram of the acceleration signal collected by the acceleration sensor. The abscissa of the schematic diagram can represent the frame number, and the ordinate can represent the amplitude value of the acceleration information; point A can be determined through the peak-finding algorithm. The first peak value corresponds to the maximum value of the acceleration signal of the user's first action, and the curve 460 represents the acceleration signal curve of the first action; point B is the second peak value, and the second peak value corresponds to the maximum value of the acceleration signal of the user's second action. Curve 470 represents the acceleration signal curve of the second action.

Optionally, the data of the acceleration sensor is processed based on a peak finding algorithm to obtain a data set, including:

The data from the acceleration sensor are processed through the neural network model to obtain a data set, and the neural network model is used to run the peak-finding algorithm.

Optionally, process the acceleration sensor data based on the peak-seeking algorithm to obtain a data set, including:

Filter the acceleration sensor data to obtain processed data;

The processed data is processed based on the peak-seeking algorithm to obtain a data set.

Optionally, filter the acceleration sensor data to obtain processed data, including:

The filtering process is performed on the data of the acceleration sensor based on a mean filter to obtain processed data.

Optionally, the information about the first peak includes a first identifier, and the first identifier is the identifier of the data frame corresponding to the first peak; the information about the second peak includes a second identifier, and the second identifier is the identifier of the data frame corresponding to the second peak. The identifier and the time difference are the time differences obtained based on the first identifier and the second identifier.

For example, the time deviation between the first moment and the second moment can be obtained based on the identification of the data frame. For example, assuming that 100 frames of data can be collected in one second, the data frame corresponding to the first action is identified as the 20th frame, and the data frame corresponding to the second action is identified as the 30th frame, then the time between the first action and the second action The time interval, that is, the time deviation between the first moment and the second moment is (30-20)*(1/100)=0.1 seconds.

S440. If the first action and the second action comply with the preset action, and the direction of the first action and the direction of the second action are different, determine that the time difference between the first moment and the second moment is less than or equal to the first preset The threshold is used to stop part or all of the prompt information for incoming calls in the first electronic device and/or the second electronic device.

Optionally, the preset actions may also include turning the wrist, raising and lowering the wrist, extending and retracting the wrist, taking a step forward, or taking a step back, and other actions with the user's intended direction.

Optionally, the direction of the first action and the direction of the second action may be opposite.

Optionally, the first action may be an action of turning the wrist clockwise, and the second action may be an action of turning the wrist counterclockwise; or, the first action may be an action of turning the wrist counterclockwise, and the second action may be The movement of turning your wrist clockwise.

For example, (a) in FIG. 6 shows an action of turning the wrist clockwise; (b) in FIG. 6 shows an action of turning the wrist counterclockwise.

Optionally, the first action may be an action of raising the wrist upward, and the second action may be an action of lowering the wrist downward; or, the first action may be an action of lowering the wrist, and the second action may be an action of raising the wrist. .

For example, (c) in FIG. 6 is an action of raising the wrist; and (d) in FIG. 6 is an action of lowering the wrist.

Optionally, the first action may be an action of moving the wrist to the left, and the second action may be an action of moving the wrist to the right; or, the first action may be an action of moving the wrist to the right, and the second action may be an action of moving the wrist to the left. Wrist movements.

For example, (e) in FIG. 6 is an action of moving the wrist to the left; (f) in FIG. 6 is an action of moving the wrist to the right.

Optionally, the first action may be an action of moving the wrist forward to the left, and the second action may be an action of moving the wrist forward to the right; or, the first action may be an action of moving the wrist forward to the right, and the second action may be The movement of moving the wrist forward and to the left.

For example, as shown in (g) of FIG. 6 , the movement from point C to point C1 may be a movement toward the left front; the movement from point C to point C2 may be a movement toward the right front.

Optionally, the first action may be an action of extending the wrist, and the second action may be an action of retracting the wrist.

Optionally, the first action may be to take a step forward to the left, and the second action may be to return to the original position; or, the first action may be to take a step to the left front, and the second action may be to take a step to the right front. .

Optionally, the first action may be to take one step back to the left, and the second action may be to return to the original position; or, the first action may be to take one step back to the left, and the second action may be to take one step back to the right.

Optionally, the first preset threshold may be 50ms.

Optionally, in a possible implementation, it is determined that the time difference between the first moment and the second moment is less than or equal to the first preset threshold, and incoming calls in the first electronic device and/or the second electronic device are stopped. Some or all of the prompt information, including:

After determining that the time difference between the first moment and the second moment is less than or equal to the first preset threshold, and the ratio of the first acceleration signal amplitude to the second acceleration signal amplitude meets the first range, stop the first electronic device and /or part or all of the prompt information for the incoming call in the second electronic device.

Optionally, the first range may be 0.6 to 0.9.

In the embodiment of the present application, when the time difference between the first moment and the second moment is less than or equal to the first preset threshold, it is possible to further determine the difference between the amplitude of the first action and the amplitude of the second action. Whether the ratio between the amplitude of the first acceleration signal and the amplitude of the second acceleration signal satisfies the first range, that is, it is determined whether the ratio of the amplitude of the first acceleration signal amplitude to the amplitude of the second acceleration signal meets the first range; When the ratio of the amplitude values meets the first range, stop part or all of the prompt information for the incoming call in the first electronic device and/or the second electronic device, that is, mute the incoming call on the first electronic device and/or the wearable device; in this application In the embodiment, since the time difference between the first moment and the second moment satisfies the first preset threshold, the ratio of the amplitudes of the first action and the second action can be further judged; Therefore, the user's misoperation can be effectively avoided to a certain extent, thereby improving the accuracy of muting incoming calls.

Optionally, in a possible implementation, stopping part or all of the prompt information for incoming calls in the first electronic device and/or the second electronic device includes:

Stop all prompt information for incoming calls in the first electronic device and/or the second electronic device.

In embodiments of the present application, when performing silent incoming calls on the first electronic device and/or the second electronic device, all prompt information in the first electronic device and/or the second electronic device may be stopped, so that the first electronic device and/or no. 2. The electronic device will not provide any reminder to the user to reduce the impact of incoming calls on the user.

Optionally, in a possible implementation, stopping all prompt information for incoming calls in the first electronic device and/or the second electronic device includes:

Stop all prompt messages for incoming calls in the first electronic device and the second electronic device.

Optionally, in a possible implementation, stopping part of the prompt information for incoming calls in the first electronic device and/or the second electronic device includes:

Stop some prompt messages for incoming calls in the first electronic device and the second electronic device.

Optionally, the prompt information includes ring prompt information and/or vibration prompt information.

Optionally, a possible implementation also includes:

A first interface is displayed; a first operation is detected in the first interface, wherein the first operation is an operation for instructing to turn on the mute function for incoming calls.

For example, the first interface may refer to a setting display interface in the electronic device; the first operation may refer to an operation of turning on incoming call muting in the setting interface of the electronic device. For example, the first interface may be as shown in (c) of Figure 16; the first operation may be a click operation as shown in (d) of Figure 16.

For example, the first interface may refer to a setting display interface in the wearable device; the first operation may refer to an operation of turning on incoming call muting in the setting interface of the wearable device. For example, the first interface may be as shown in (g) of Figure 14, and the first operation may be a click operation as shown in (h) of Figure 14.

In an embodiment of the present application, by obtaining data from an acceleration sensor in a wearable device (for example, a smart bracelet); based on data from an acceleration sensor in a wearable device, the first acceleration related to the user's first action can be obtained The signal amplitude and the second acceleration signal amplitude related to the user's second action; if the first action and the second action conform to the preset action, that is, the posture of the first action and the posture of the second action conform to the posture of the preset action , and the direction of the first action is different from the direction of the second action, it is determined that the time difference between the first time corresponding to the first acceleration signal amplitude and the second time corresponding to the second acceleration signal amplitude is less than or equal to the first When the threshold is preset, part or all of the prompt information for incoming calls in the first electronic device and/or the second electronic device can be stopped; that is, the incoming call mute function can be implemented on the first electronic device and/or the second electronic device; in this application In the embodiment, since the wearable device does not need to be in a fixed position when detecting the user's first action and the second action; in other words, the method for controlling incoming call muting provided by the embodiment of the present application can be applied to more scenarios, and the user can When performing operations related to muting incoming calls, there is no need to be limited to a fixed scene with the screen of the wearable device facing up and the palm of the hand; therefore, the method for controlling muting of incoming calls provided by the embodiments of the present application can realize muting of incoming calls more intelligently, so that users can more Conveniently perform operations related to muting incoming calls; improve user experience.

Figure 7 is a schematic flow chart of a method for controlling incoming call muting provided by an embodiment of the present application. The method 500 may be executed by the electronic device shown in FIG. 1 or by the wearable device 200 shown in FIG. 2; the method 500 includes S510 to S540, and S510 to S540 will be described in detail below respectively.

S510. Determine whether it meets the first scenario.

For example, the first scene may refer to a scene in which the electronic device rings and/or vibrates for an incoming call.

Optionally, the first scene may refer to a scene in which the video call rings and/or the video call vibrates on the electronic device.

Optionally, the first scene may refer to a scene in which an alarm clock of the electronic device rings and/or the alarm clock vibrates.

It should be understood that the above description is an illustration of the first scenario; in the first scenario, the electronic device is ringing and/or vibrating, and the mute function of the electronic device can be implemented through the method provided by the embodiment of the present application; the mute function can be It means that the electronic device stops ringing; or, the mute function can also mean that the electronic device stops ringing and vibrating; or, the mute function can mean that the electronic device stops vibrating; after realizing the mute function of the electronic device, the electronic device will not report to the user Issue any reminder; or provide any prompt to the user.

S520. Under the condition that the first scenario is met, obtain the data collected by the acceleration sensor in the wearable device.

For example, in a scenario where the electronic device is ringing for an incoming call; or, in a scenario where the electronic device is ringing and vibrating for an incoming call; or, in a scenario where the electronic device is vibrating for an incoming call, the acceleration sensor in the wearable device can be obtained collected data.

Optionally, the first scene may also be an alarm clock scene or a video passing scene; for detailed description, see S510, which will not be described again here.

S530: Obtain the tag value based on the data collected by the acceleration sensor.

Exemplarily, the data collected by the acceleration sensor is obtained; the data collected by the acceleration sensor is processed to obtain the tag value; optionally, the specific implementation method of processing the data of the acceleration sensor can be seen in the following Figure 11, Figure 12 or Figure 13 shown and will not be described again here.

S540: Instruct the wearable device and/or the electronic device to execute a corresponding function based on the tag value.

For example, the tag value obtained based on the data collected by the acceleration sensor may be 1; or, the tag value obtained based on the data collected by the acceleration sensor may be 0; when the tag value is 1, the tag value may be used to indicate The wearable device and/or electronic device performs the incoming call muting function; when the tag value is 0, the tag value can be used to indicate that the wearable device and/or the electronic device does not perform the incoming call muting function.

Optionally, the electronic device and the wearable device can be controlled individually to perform the incoming call muting function; or the electronic device and the wearable device can be collectively controlled to perform the incoming call muting function.

In one example, the electronic device and the wearable device can be controlled separately to perform the incoming call muting function; when the electronic device receives a call, the electronic device can ring, vibrate, or ring and vibrate; when the tag value is 1 and the electronic device is ringing In this case, you can instruct the electronic device to stop ringing to silence incoming calls; or, when the tag value is 1 and the electronic device is vibrating, you can instruct the electronic device to stop vibrating to silence incoming calls; or, when the tag value is 1 and the electronic device vibrates, When the electronic device is ringing and vibrating, the electronic device can be instructed to stop ringing and vibrating to silence incoming calls.

Optionally, when the electronic device and the wearable device are separately controlled to perform the incoming call muting function, the electronic device can mute the incoming call based on the tag value; at this time, the wearable device can be in any state of ringing and/or vibrating; This application does not make any limitation on this.

In one example, the electronic device and the wearable device can be collectively controlled to perform the incoming call muting function; when the electronic device receives a call, the electronic device can ring, vibrate, or both ring and vibrate; the wearable device can also ring, vibrate, or ring. Bell and vibration; when the tag value is 1, it can cause electronic devices and wearable devices to stop sending any prompt information.

For example, when an electronic device receives a call, the electronic device is ringing and vibrating, and the wearable device is also ringing and vibrating. Vibration, when the tag value is 1, electronic devices and wearable devices can both stop ringing and vibrating, realizing the function of silencing incoming calls.

For example, when the electronic device receives a call, both the electronic device and the wearable device are in the ringing state. When the tag value obtained based on the data of the acceleration sensor of the wearable device is 1, the electronic device and the wearable device can both stop ringing and Silence incoming calls without hanging up the phone.

For example, when the electronic device receives a call, both the electronic device and the wearable device will ring and vibrate. When the tag value based on the data of the wearable device's acceleration sensor is 1, the electronic device and the wearable device will both stop ringing and vibrating. Vibrates without hanging up the phone, achieving silent function for incoming calls.

For example, when the electronic device receives a call, the electronic device will ring and the wearable device will vibrate. When the tag value based on the data of the wearable device's acceleration sensor is 1, the electronic device can stop ringing and the wearable device can notify Vibrates and does not hang up the phone, achieving the function of muting incoming calls.

It should be understood that the above examples are based on the tag value being 1 or the tag value being 0; this application does not place any limit on the specific numerical value of the tag value.

Optionally, the above-mentioned S510 to S540 take the first scene as the incoming call scene, and illustrate the muting of the incoming call; the method shown in Figure 7 is also applicable to the scene of muting the incoming video call, or muting the alarm clock; this application does not do this Any limitations.

In the embodiment of the present application, when it is determined that the current status of the electronic device or wearable device meets the first scenario, the tag value can be obtained based on the data of the acceleration sensor in the wearable device; based on the tag value, the electronic device and/or The wearable device performs the corresponding operation corresponding to the tag value.

Optionally, S510 to S540 shown in Figure 7 may be executed in the electronic device; or, it may also refer to being executed in the wearable device; or, part of S510 to S540 may be executed in the electronic device and part in Executed in wearable devices, the following is an example of a phone call scenario, and different situations are described in detail.

Scenario 1: The electronic device can obtain the tag value based on the data of the acceleration sensor of the wearable device, and the electronic device determines that the electronic device and/or the wearable device performs the function corresponding to the tag value (for example, whether to mute incoming calls).

Figure 8 is an interactive flow chart of a method for controlling incoming call muting provided by an embodiment of the present application. The method 600 includes S610 to S640, and S610 to S640 are described in detail below respectively.

It should be understood that the electronic device shown in Figure 8 can be the electronic device 100 shown in Figure 1 or Figure 2; or the first electronic device shown in Figure 4; the wearable device shown in Figure 8 can be the electronic device 100 shown in Figure 1 or Figure 2; The wearable device 200 shown in Figure 2, or the second electronic device shown in Figure 4.

S610: The electronic device determines that a first scenario is met.

Illustratively, the electronic device determines that the current state of the electronic device complies with the first scenario.

Optionally, the first scene may refer to a scene in which the electronic device rings for an incoming video call and/or vibrates for an incoming video call.

It should be understood that the above description is an illustration of the first scenario; in the first scenario, the electronic device is ringing and/or vibrating, and the mute function of the electronic device can be implemented through the method provided by the embodiment of the present application; the mute function can be It means that the electronic device stops ringing; or, the mute function can also mean that the electronic device stops ringing and vibrating; or, the mute function can mean that the electronic device stops vibrating; after realizing the mute function of the electronic device, the electronic device will not report to the user Issue any reminder; or cause any interference to the user.

S620. The electronic device obtains data from the acceleration sensor in the wearable device.

For example, the electronic device can send a data reporting instruction to the wearable device; the wearable device can send the data collected by the acceleration sensor in real time to the electronic device.

S630. The electronic device obtains the tag value based on the data.

For example, the electronic device can obtain the data collected by the acceleration sensor; process the data collected by the acceleration sensor to obtain the tag value; optionally, the specific implementation method of processing the data of the acceleration sensor can be seen in the following Figures 11 and 12 Or as shown in Figure 13, which will not be described again here.

S640. The electronic device determines that the electronic device and/or the wearable device performs corresponding operations based on the tag value.

Optionally, the electronic device can determine based on the tag value that the electronic device performs muting on incoming calls; or the electronic device can determine based on the tag value that the wearable device performs muting on incoming calls; or the electronic device determines based on the tag value that both the electronic device and the wearable device perform on-call muting. mute.

Optionally, the specific implementation method can refer to the relevant description shown in Figure 4 or Figure 7, which will not be repeated here.

In the embodiment of the present application, when the electronic device determines that the electronic device complies with the first scenario, the electronic device can obtain the data of the acceleration sensor in the wearable device, obtain the tag value based on the data of the acceleration sensor, and determine whether the tag value is correct based on the tag value. The electronic device and/or wearable device performs corresponding operations.

Scenario 2: The electronic device can obtain the tag value based on the data of the acceleration sensor of the wearable device, and the electronic device performs the function corresponding to the tag value; the electronic device can send the tag value to the wearable device, and the wearable device determines whether to execute the tag value based on the tag value. The corresponding function (for example, whether to mute incoming calls).

Figure 9 is an interactive flow chart of a method for controlling incoming call muting provided by an embodiment of the present application. The method 700 includes S710 to S760, and S710 to S760 are described in detail below respectively.

It should be understood that the electronic device shown in Figure 9 can be the electronic device 100 shown in Figure 1 or Figure 2; or the first electronic device shown in Figure 4; the wearable device shown in Figure 8 can be the electronic device 100 shown in Figure 1 or Figure 2; The wearable device 200 shown in Figure 2, or the second electronic device shown in Figure 4.

S710. The electronic device is determined to comply with the first scenario.

Exemplarily, the electronic device determines that the current state of the electronic device conforms to the first scenario.

Optionally, the first scene may refer to a scene in which the electronic device is ringing and/or vibrating due to an incoming video call.

S720. The electronic device obtains data from the acceleration sensor in the wearable device.

S730. The electronic device obtains the tag value based on the data.

For example, the electronic device can obtain the data collected by the acceleration sensor; process the data collected by the acceleration sensor to obtain the tag value; optionally, a specific implementation method for processing the data of the acceleration sensor. The method can be seen in the subsequent Figure 11, Figure 12 or Figure 13, and will not be described again here.

S740. The electronic device performs the operation corresponding to the tag value.

Optionally, taking the call scenario as an example, the electronic device can perform muting of incoming calls based on the tag value; or, the electronic device can perform unmuting of incoming calls based on the tag value.

S750. The electronic device sends the tag value to the wearable device.

Optionally, S740 and S750 may be executed at the same time; or, S750 may be executed first and then S740; this application does not impose any limitation on this.

S760. The wearable device determines whether to perform the corresponding operation based on the tag value.

Optionally, for specific implementation methods, reference may be made to the relevant descriptions shown in FIG. 4 or FIG. 7 , which will not be described again here.

In the embodiment of the present application, when the electronic device determines that the electronic device complies with the first scenario, the electronic device can obtain the data of the acceleration sensor in the wearable device and obtain the tag value based on the data of the acceleration sensor; the electronic device can obtain the tag value based on the tag value. Perform the corresponding operation and send the tag value to the wearable device; the wearable device can determine whether to perform the corresponding operation based on the tag value.

Scenario 3: The wearable device can obtain the tag value based on the data in the acceleration sensor, and the wearable device performs the function corresponding to the tag value based on the tag value; the wearable electronic device sends the tag value to the electronic device, and the electronic device determines whether to perform the corresponding function based on the tag value. operation (for example, whether to mute incoming calls).

Figure 10 is an interactive flow chart of a method for controlling incoming call muting provided by an embodiment of the present application. The method 800 includes S810 to S860, and S810 to S860 are described in detail below respectively.

It should be understood that the electronic device shown in FIG. 10 may be the electronic device 100 shown in FIG. 1 or 2; or the first electronic device shown in FIG. 4; and the wearable device shown in FIG. 8 may be the electronic device 100 shown in FIG. The wearable device 200 shown in Figure 2, or the second electronic device shown in Figure 4.

S810. The wearable device is determined to comply with the first scenario.

For example, the wearable device may determine that the current state of the electronic device complies with the first scenario.

Optionally, in a possible implementation, S810 may mean that the wearable device may determine that the current state of the wearable device complies with the first scenario.

S820. The wearable device obtains data from the acceleration sensor.

S830. The wearable device obtains the tag value based on the data.

For example, the wearable device can obtain the data collected by the acceleration sensor; process the data collected by the acceleration sensor to obtain the tag value; optionally, a specific implementation of processing the data of the acceleration sensor The method can be seen in the subsequent Figure 11, Figure 12 or Figure 13, and will not be described again here.

S840: The wearable device executes an operation corresponding to the tag value.

Optionally, taking the call scenario as an example, the wearable device can perform muting of incoming calls based on the tag value; or, the wearable device can perform unmuting of incoming calls based on the tag value.

S850. The wearable device sends the tag value to the electronic device.

Optionally, S840 and S850 may be executed at the same time; or, S850 may be executed first and then S840; this application does not impose any limitation on this.

S860. The electronic device determines whether to perform the corresponding operation based on the tag value.

Optionally, for specific implementation methods, please refer to the relevant description shown in Figure 4 or Figure 7 , which will not be described again here.

Optionally, in the method 800 shown in Figure 10, for S840 to S860, part or all of S840 to S860 may be executed; for example, S840 to S860 may be executed, or S840 and S840 may be executed, or, Execute S850 and S860, or only S840.

In the embodiment of this application, when the wearable device determines that the electronic device complies with the first scenario, the wearable device can obtain the data of the acceleration sensor in the wearable device; obtain the tag value based on the data of the acceleration sensor; the wearable device can Perform a corresponding operation based on the tag value, and send the tag value to the electronic device; the electronic device can determine whether to perform the corresponding operation based on the tag value.

The algorithm for obtaining the tag value based on the data of the acceleration sensor of the wearable device will be described in detail below with reference to Figures 11 to 13.

It should be understood that in the embodiments shown in FIGS. 11 to 13 , the user's first action is to turn the wrist for the first time, and the user's second action is to turn the wrist for the second time. The turning of the wrist may be Refers to turning the wrist. In the embodiment of the present application, turning the wrist and turning the wrist may have the same meaning.

Optionally, the first action may be an action of raising the wrist upward, and the second action may be an action of lowering the wrist downward; or, the first action may be an action of lowering the wrist, and the second action may be an action of raising the wrist. ; Alternatively, the first action may be an action of moving the wrist to the left, and the second action may be an action of moving the wrist to the right; or, the first action may be an action of moving the wrist to the right, and the second action may be an action of moving the wrist to the left. action; or, the first action can be an action of moving the wrist forward to the left, and the second action can be an action of moving the wrist forward to the right; or, the first action can be an action of moving the wrist forward to the right, and the second action can be It is the action of moving the wrist forward to the left; or the first action can be the action of extending the wrist, and the second action can be the action of retracting the wrist; or the first action can be taking a step forward to the left, and the second action can be To return to the original position; or, the first action can be to take a step forward to the left, and the second action can be to take a step forward to the right; or, the first action can be to take a step back to the left, and the second action can be to return. original position; alternatively, the first action can be a step back to the left, and the second action can be a step back to the right.

Figure 11 is a schematic flow chart of a method for obtaining a tag value based on data from an acceleration sensor of a wearable device provided by an embodiment of the present application. The method 900 includes S901 to S914, and S901 to S914 are described in detail below.

S901. Initialize the stored data.

For example, initializing data may mean clearing cached data in an electronic device; or initializing data may mean clearing data in an acceleration sensor.

S902. Collect data from the acceleration sensor.

S903. Determine whether the collected data meets the collection duration; if it meets the collection duration, perform S904; if it does not meet the collection duration, return to S905.

It should be understood that when obtaining data from the acceleration sensor, ensuring that the collection time is met is to obtain data from the acceleration sensor within a period of time, so as to avoid being unable to obtain data from the user's multiple wrist movements due to too short a collection time; by collecting data within a period of time The data from the acceleration sensor is helpful to improve the accuracy of the output label value.

S904. Filter the data to obtain processed data.

It should be understood that the purpose of filtering data is to smooth the collected data and remove some noise data to ensure the accuracy of the acceleration sensor data.

S905. Continuously collect data.

For example, data collection is continued until the time for obtaining data from the acceleration sensor is greater than or equal to the collection time.

S906. Process the processed data through the AI algorithm to obtain a data set.

For example, the data set includes time information (eg, frame number), identification of wave peaks or identification of wave troughs.

Optionally, amplitude values can also be included in the data set.

Optionally, identify the peaks and troughs in the acceleration sensor data through the AI peak-finding algorithm, and record the frame numbers (positions) of the peaks and troughs at the same time; where the AI peak-finding algorithm can refer to running the peak-finding algorithm based on the neural network model. algorithm.

For example, the peak-finding algorithm refers to finding the position of a peak or a trough in a set of signals.

Among them, the comparison method is to smooth the data first, and then compare the maximum value to get the position of the peak or trough; the derivative method is to smooth the data first; then perform first-order, second-order, and third-order derivatives on the data; obtain the average value of the derivative data, set the threshold according to the average value, and then perform peak screening; the CFAR algorithm refers to setting two window functions; performing window smoothing to obtain the optimized curve; obtaining the average value of the data, setting the threshold according to the average value, and then performing peak screening; the symmetric zero area algorithm refers to selecting a symmetric zero area simple function as a variation function; setting the window function according to the symmetric zero area; when the net area of the peak is several times larger than the standard deviation of the total area of the peak (the sum of the net area of the peak and the background area), confirm that the peak is a true peak. The linear fitting peak search algorithm refers to obtaining the linear function coefficient according to the least squares method; obtaining the fitting curve according to the fitting function; and calculating the corresponding peak height and peak width based on the fitting curve.

It should be understood that the above is an example of the peak-finding algorithm; the peak-finding algorithm in this application may refer to any peak-finding algorithm in the prior art, and this application does not impose any limitation on this.

S907: Store the data set.

For example, the data set can be stored in cache data; the stored data set is used to subsequently determine whether the data set includes the data of the first rotation of the wrist and the data of the second rotation of the wrist; the data set includes two In the case of data of two rotations, it is further judged whether the data of two rotations satisfies the time difference.

It should be understood that in the embodiment of the present application, rotating the wrist for the first time may refer to rotating the wrist for the first time, and rotating the wrist for the second time may refer to flipping the wrist for the second time; rotating the wrist may refer to flipping the wrist, which has the same meaning.

For example, the data set may include multiple groups of data, and each group of data includes the sequence number of the frame - the identification of the peak or trough; for example, the data set may include data group 1, data group 2, data group 3, etc.; wherein, data group 1 It can be the 1st frame - flag2; the data group 2 can be the 2nd frame - flag4; the third group of data can be the 3rd frame - flag3; among them, flag2 can Represents the peak of the wave; flag3 can represent the trough; flag4 can represent non-peak and trough.

It should be understood that the above examples are based on flag2, flag3, and flag4, and this application does not display any label values of peaks, valleys, or non-peaks and valleys.

S908: Determine whether the first rotation of the wrist is detected; if the first rotation of the wrist is detected, execute S909; if the first rotation of the wrist is not detected, execute S910.

For example, whether a first rotation of the wrist is detected may be determined based on whether a wave peak or a wave trough is detected in the data set.

For example, when the user turns his wrist once in the side direction of the body (for example, counterclockwise direction), the data set may include a trough; when the user turns the wrist in the opposite direction of the body side (for example, clockwise direction), the data set may include Can include a crest.

S909. Obtain the time information T1 of the first rotation of the wrist.

For example, the data set includes data group 1 which can be the first frame - flag2; data group 2 can be the second frame - flag4; and the third group of data can be the third frame - flag3; where flag2 can represent a wave peak; flag3 can represent wave troughs; flag4 can represent non-wave peaks and wave troughs; then the information of the first wrist rotation obtained based on the data collection is the first frame - flag2, and the time information T1 of the first wrist rotation is the frame identifier of the first frame.

S910. Output tag value flag=0.

For example, the tag value obtained based on the data collected by the acceleration sensor can be 0, that is, flag=0; when the tag value is 0, it can be used to indicate that the wearable device and/or the electronic device does not perform the incoming call muting function.

S911. Determine whether the second rotation of the wrist is detected; if the second rotation of the wrist is detected, execute S912; if the second rotation of the wrist is not detected, execute S910.

It should be understood that determining whether a second rotation is detected may refer to whether there is a second peak or trough data in the data set; for example, if the data corresponding to the first rotation of the wrist is peak data, then the data of the second rotation It refers to the data of the wave trough; if the data corresponding to the first rotation of the wrist is the data of the wave trough, the data of the second rotation refers to the data of the wave peak.

It should also be understood that if the user rotates the wrist purposefully, in order to realize the function of muting incoming calls based on two rotations of the wrist, the directions of the first rotation of the wrist and the second rotation of the wrist should be opposite; for example, the first rotation of the wrist should be If the wrist is rotated to the opposite side of the body (for example, clockwise), the second rotation of the wrist may refer to the rotation of the wrist back to the original position (for example, counterclockwise); if the first rotation of the wrist is to the side of the body (for example, (clockwise) rotation, the second rotation of the wrist may refer to the rotation of returning the wrist to the original position (for example, counterclockwise).

S912. Obtain the time information T2 of the second wrist rotation.

For example, the data set includes data group 1 which can be the first frame - flag2; data group 2 can be the second frame - flag4; and the third group of data can be the third frame - flag3; where flag2 can represent a wave peak; flag3 It can represent the wave trough; flag4 can represent non-wave peaks and wave troughs; then the information of the second rotation obtained based on the data collection is the third frame - flag3, and the time information T2 of the second rotation is the frame identifier of the second frame.

S913. Determine whether T2-T1 is less than or equal to T3; if T2-T1 is less than or equal to T3, execute S914; if T2-T1 is greater than T3, execute S910.

Among them, T3 is the preset time threshold. Optionally, T3 can be 50ms.

It should be understood that if the user wants to mute the incoming call based on two rotations of the wrist, the interval between the two rotations is usually short; therefore, the time information T1 of the first rotation of the wrist obtained based on the data in the data set is different from the time information T1 of the second rotation. time The time difference between the information T2 is small; if the time difference between the time information T1 of the first rotation of the wrist and the time information T2 of the second rotation is large, the user's intended directionality cannot be accurately reflected; thus it cannot be reflected. The user can mute incoming calls by turning their wrist twice.

It should also be understood that in the embodiment of the present application, it is determined whether to perform the incoming call mute operation based on the time difference between the time information of the two detected wrist rotations; because the method of controlling the incoming call mute operation in the present application is based on two wrist rotations. The time difference is determined, so there is no need to keep the wearable device in a fixed position (for example, with the display facing up), making it easier for users to mute incoming calls in various life scenarios, thus improving user experience.

S914. Output tag value flag=1.

For example, the tag value obtained based on the data collected by the acceleration sensor can be 1, that is, flag=1; when the tag value is 1, it can be used to instruct the wearable device and/or electronic device to perform the incoming call mute function.

In one example, the electronic device and the wearable device can be individually controlled to perform the call mute function; when a call comes in to the electronic device, the electronic device can ring, vibrate, or ring and vibrate; when the tag value is 1 and the electronic device is ringing, the electronic device can be instructed to stop ringing to mute the call; or, when the tag value is 1 and the electronic device is vibrating, the electronic device can be instructed to stop vibrating to mute the call; or, when the tag value is 1 and the electronic device is ringing and vibrating, the electronic device can be instructed to stop ringing and vibrating to mute the call.

For example, if an electronic device receives a call, the electronic device is ringing and vibrating, and the wearable device is also ringing and vibrating. When the tag value is 1, the electronic device and the wearable device can both stop ringing and vibrating, thereby silencing the incoming call. .

For example, when an electronic device receives a call, both the electronic device and the wearable device will ring. When the tag value based on the data from the wearable device's acceleration sensor is 1, both the electronic device and the wearable device will stop ringing and will not hang up. Disconnect the phone and mute the incoming calls.

Optionally, after S914, S540 as shown in Figure 7 can be executed; or, S640 as shown in Figure 8 can be executed; or some or all of S740 to S760 as shown in Figure 9 can be executed; or, S740 as shown in Figure 9 can be executed as Some or all of S840 to S860 shown in Figure 10 .

Optionally, S410 and S420 as shown in Figure 7 can be executed before S901; or S610 as shown in Figure 8 can be executed; or S710 as shown in Figure 9 can be executed; or S710 as shown in Figure 10 can be executed. S810.

In the embodiment of the present application, by obtaining the data of the acceleration sensor in the wearable device; determining whether the data of the user turning the wrist twice is detected based on the data of the acceleration sensor; in the case of detecting the data of the user turning the wrist twice; , determine whether the data of turning the wrist twice meets the time condition; when it is determined that the data of turning the wrist twice meets the time condition, the incoming call mute function can be implemented on the electronic device and/or the wearable device; due to the embodiment of the present application , the wearable device does not need to be in a fixed position when detecting the user's operation; in other words, the method for controlling incoming call muting provided by the embodiments of the present application can be applied to more scenarios, and the user does not need to perform operations related to incoming call muting. Rotate the wearable device with the screen facing up and the palm of your hand facing downward; therefore, the method for controlling incoming call muting provided by the embodiments of the present application can realize incoming call muting more intelligently, allowing the user to more conveniently perform operations related to incoming call muting; Improve user experience.

Optionally, in the embodiment of the present application, in order to further improve the accuracy of the output label value; determine the time difference between the time information T1 of the first rotation of the wrist and the time information T2 of the second rotation of the wrist. If it is less than or equal to T3, you can further determine the ratio of the amplitude value of the first wrist rotation to the amplitude value of the second wrist rotation; if it is detected that the user intentionally rotates the wrist twice, then the amplitude of the two wrist rotations is The values should be close; if the ratio of the amplitude values of the two detected wrist rotations is large, it may be a misoperation by the user; therefore, when the time difference between the two wrist rotations is less than or equal to T3, further judge the two Whether the ratio of the amplitude values of the wrist rotations satisfies the first range (for example, 0.6 to 0.9), thereby effectively avoiding the user's misoperation of rotating the wrist to a certain extent and improving the accuracy of the output label value.

Figure 12 is a schematic flow chart of a method for obtaining a tag value based on data from an acceleration sensor of a wearable device provided by an embodiment of the present application. The method 1000 includes S1001 to S1017, and S1001 to S1017 are described in detail below.

S1001. Initialize storage data.

S1002. Collect data from the acceleration sensor.

S1003. Determine whether the collection duration is met; if the collection duration is met, perform S1004; if the collection duration is not met, perform S1005.

S1004. Filter the data to obtain processed data.

S1005. Continuously collect data.

S1006. Process the processed data through the AI algorithm to obtain a data set.

S1007. Store data collection.

S1008. Determine whether the first rotation of the wrist is detected; if the first rotation of the wrist is detected, execute S1009; if the first rotation of the wrist is not detected, execute S1010.

S1009. Obtain the time information T1 of the first rotation of the wrist.

S1010. Output tag value flag=0.

S1011. Determine whether the second rotation of the wrist is detected; if the second rotation of the wrist is detected, execute S1012; if the second rotation of the wrist is not detected, execute S1010.

S1012. Obtain the time information T2 of the second wrist rotation.

S1013. Determine whether T2-T1 is less than or equal to T3; if T2-T1 is less than or equal to T3, execute S1014; if T2-T1 is greater than T3, execute S1010.

S1014. Obtain the amplitude values of the first wrist rotation and the second wrist rotation.

Optionally, the data set may include time information (for example, frame number), identification of wave peaks or wave troughs, and amplitude values.

For example, a data set may include multiple groups of data, each group of data includes the frame sequence number-identification-amplitude value; for example, the data set may include data set 1, data set 2, data set 3, etc.; wherein data set 1 may be the first frame-flag2-1.5; data set 2 may be the second frame-flag4-0.2; the third group of data may be the third frame-flag3-1.7; wherein flag2 may represent a peak; flag3 may represent a trough; flag4 may represent a non-peak or trough; based on the data set, it can be seen that data set 1 is the information of the first wrist rotation, and data set 3 is the information of the second rotation, therefore, the amplitude value of the first wrist rotation is 1.5; the amplitude value of the second rotation is 1.7. It should be understood that the above is an example description of the data set, and the present application does not impose any limitation on the numerical value of the specific information in the data set.

S1015. Calculate the ratio of the amplitude values of two wrist rotations.

Exemplarily, if the amplitude value of the first wrist rotation detected is 1.5, and the amplitude value of the second rotation detected is 1.7; then the ratio of the amplitude value of the first wrist rotation to the amplitude value of the second rotation is 1.5/1.7=0.88.

S1016. Determine whether the ratio meets the first range; if the ratio of the amplitude values of the two wrist rotations meets the first range, execute S1017; if the ratio of the amplitude values of the two wrist rotations does not satisfy the first range, execute S1010.

Optionally, the first range may be 0.6˜0.9.

In the embodiment of the present application, if it is detected that the user intentionally rotates the wrist twice based on the data set, the time difference between the two wrist rotations should be less than or equal to T3, and the ratio of the amplitude values of the two rotations satisfies the third A range that enables silencing of incoming calls from electronic devices and/or wearable devices.

It should be understood that the above S1013 can be used to determine whether the time difference between two wrist turns is less than or equal to T3; usually, if the user intentionally turns his wrist twice, the time difference between the two wrist turns is small; S1016 is used to further determine the ratio of the amplitude values of the two turns; for example, if the user makes an erroneous operation of turning his wrist, the ratio of the amplitude values of the two wrist turns may be large; at this time, the ratio of the amplitude value of the first wrist turn to the amplitude value of the second wrist turn cannot meet the first range; therefore, based on S1016, the above-mentioned user erroneous operation can be effectively avoided.

S1017. Output tag value flag=1.

It should be noted that the parts in Fig. 12 that are the same as those in Fig. 11 can be referred to the relevant description in Fig. 11 and will not be described again here.

Optionally, after S1017, S540 as shown in Figure 7 can be executed; or, S640 as shown in Figure 8 can be executed; or some or all of S740 to S760 as shown in Figure 9 can be executed; or, S740 as shown in Figure 9 can be executed as Some or all of S840 to S860 shown in Figure 10 .

Optionally, before S1001, S410 and S420 as shown in Figure 7 can be performed; or, S610 as shown in Figure 8 can be performed; or, S710 as shown in Figure 9 can be performed; or, S710 as shown in Figure 10 can be performed. S810.

In the embodiment of the present application, when it is determined that the time difference between the time information T1 of the first rotation of the wrist and the time information T2 of the second rotation is less than or equal to T3, it can be further determined that the first rotation of the wrist is The ratio of the amplitude value to the amplitude value of the second rotation of the wrist; if the user intentionally rotates the wrist twice, the The amplitude values should be close; if the ratio of the amplitude values of the two detected wrist rotations is large, there may be user misoperation; therefore, when the time difference between the two wrist rotations is less than or equal to T3, further Determining whether the ratio of the amplitude values of two wrist rotations satisfies the first range can effectively avoid the user's misoperation of rotating the wrist to a certain extent, thereby improving the accuracy of the output label value.

Fig. 13 is a schematic flow chart of a method for obtaining a tag value based on data of an acceleration sensor of a wearable device provided in an embodiment of the present application. The method 1100 includes S1101 to S1111, and S1101 to S1111 are described in detail below.

S1101. Obtain multi-frame data of the acceleration sensor.

For example, the collection duration can be preset to obtain data collected by an acceleration sensor in a wearable device (for example, a smart bracelet).

S1102. Perform mean filtering on each single frame data.

For example, assuming that 10 frames of data are acquired within a preset acquisition duration, each frame of data in the 10 frames of data needs to be subjected to mean filtering processing respectively.

In the embodiment of the present application, by performing mean filtering on the collected data, data smoothing can be achieved, thereby effectively reducing noise data in the data.

It should be understood that since the mean filter has good anti-noise performance for non-periodic motion and periodic motion motion states; therefore, by using the mean filter to filter the acquired acceleration sensor data, the noise in the data can be effectively reduced. data.

Optionally, after performing mean filtering on the data, time determination (for example, S1103 to S1106) and amplitude ratio determination (S1107 to S1110) can be performed respectively to determine whether to perform incoming call muting; for example, if the output tag value is If flag=0, the incoming call will not be muted; if the output tag value is flag=1, the incoming call will be muted.

S1103. Obtain the preset window length.

For example, the preset acquisition duration may be 20 frames, and the preset window length may be 10 frames.

In the embodiment of the present application, there is a certain time difference in the time when the user turns the wrist twice; the length of the preset window is obtained to subsequently determine whether there is a peak or wave in the acceleration sensor data in the preset window. Wave trough; thereby determining whether the acceleration sensor data in the preset window includes the data of the user's first and second rotation of the wrist.

S1104. Determine the wave peak and wave trough in the preset window.

Exemplarily, data collected by the acceleration sensor in a preset window can be obtained; the peaks and troughs in the data of the acceleration sensor are identified through the AI peak-finding algorithm, and the frame numbers (positions) of the peaks and troughs are recorded.

Optionally, if there are only wave peaks or only wave troughs in the preset window, the output label value is flag=0.

S1105: Calculate the time difference between the peak and the trough.

Optionally, if the wave peak is located before the wave trough in the data set, that is, the wave peak is detected first and then the wave trough is detected, the time difference between the wave peak and the wave trough is calculated as the time information of the wave trough minus the time information of the wave peak. For example, the first rotation of the user's wrist is in the clockwise direction, and the second rotation of the wrist is in the counterclockwise direction.

Optionally, if the wave trough is located before the wave peak in the data set, that is, the wave trough is detected first and then the wave peak is detected, the time difference between the wave peak and the wave trough is calculated as the time information of the wave peak minus the time information of the wave trough. For example, the first time the user turns the wrist is in the counterclockwise direction, and the second time the user turns the wrist is in the clockwise direction.

S1106. Determine whether the time difference is less than or equal to T3; if the time difference is less than or equal to T3, execute Go to S1107; if the time difference is greater than T3, go to S1108.

S1107. Obtain the amplitude values of the wave peak and wave trough.

For example, the amplitude value may represent the amplitude of the acceleration information of the user's wrist rotation.

S1108. Output tag value flag=0.

S1109. Calculate the ratio of amplitude values.

S1110. Determine whether the ratio satisfies the first range; if the ratio satisfies the first range, execute S1111; if the ratio does not satisfy the first range, execute S1108.

S1111. The output tag value is flag=1.

It should be noted that the parts in Figure 13 that are the same as those in Figure 11 or Figure 12 can be referred to the relevant descriptions in Figure 11 or Figure 12 and will not be described again here.

Optionally, after S1111, S540 as shown in Figure 7 can be executed; or, S640 as shown in Figure 8 can be executed; or some or all of S740 to S760 as shown in Figure 9 can be executed; or, S740 as shown in Figure 9 can be executed as Some or all of S840 to S860 shown in Figure 10 .

Optionally, S410 and S420 as shown in Figure 7 can be executed before S1101; or S610 as shown in Figure 8 can be executed; or S710 as shown in Figure 9 can be executed; or S710 as shown in Figure 10 can be executed. S810.

In the embodiment of the present application, when it is determined that the time difference between the time information T1 of the first rotation of the wrist and the time information T2 of the second rotation is less than or equal to T3, it can be further determined that the first rotation of the wrist is The ratio of the amplitude value to the amplitude value of the second wrist rotation; if the user intentionally rotates the wrist twice, the amplitude values of the two wrist rotations should be close or the difference is small; if the detected wrist rotations of the two wrist rotations are If the ratio of the amplitude values is large, there may be misoperation by the user; therefore, when the time difference between the two wrist rotations is less than or equal to T3, it can be further determined whether the ratio of the amplitude values of the two wrist rotations satisfies the third A range, thereby effectively avoiding the user's misoperation of turning the wrist to a certain extent and improving the accuracy of the output label value.

The following is an example description of the interface schematic diagram of turning on incoming call muting in a wearable device and the interface diagram of turning on incoming call muting in an electronic device with reference to FIG. 14 and FIG. 15 .

FIG14 is a schematic diagram of an interface for muting incoming calls in a wearable device provided in an embodiment of the present application. As shown in (a) of FIG14, the desktop 1201 of the wearable device may include a control 1202 for setting an application; the wearable device detects a click operation on the control 1202 for setting an application, as shown in (b) of FIG14; after the wearable device detects the operation on the control 1202 for setting an application, a setting display interface 1203 is displayed; the setting display interface 1230 includes a control 1204 for an auxiliary function, as shown in (c) of FIG14; a click operation on the control for the auxiliary function is detected, as shown in (d) of FIG14; after the wearable device detects the click operation on the control for the auxiliary function, an auxiliary function display interface 1205 is displayed; the auxiliary function display interface 1205 includes a control 1206 for a gesture, as shown in (e) of FIG14; the wearable device detects the operation on the control for the gesture 14(f); after the wearable device detects the click operation on the gesture control 1206, a gesture guidance display interface 1207 is displayed; the gesture guidance display interface 1207 includes a control 1208 for turning the wrist twice to mute incoming calls, as shown in (g) in FIG14; the wearable device detects the click operation on the control for turning the wrist twice to mute incoming calls, as shown in (h) in FIG14; after the wearable device detects the click operation on the control for turning the wrist twice to mute incoming calls, a setting display interface 1209 for mute incoming calls is displayed; the setting display interface 1209 for mute incoming calls includes a control 1210 for turning on mute incoming calls and a control 1211 for turning off mute incoming calls, as shown in (i) in FIG14; as shown in (j) in FIG14, the wearable device detects the click operation on the control for turning the wrist twice to mute incoming calls Clicking the mute control turns on the incoming call mute function of the wearable device, that is, executing the method for controlling incoming call mute provided in the embodiment of the present application.

Optionally, FIG. 14 illustrates the scenario of turning on the muting of incoming calls; the embodiments provided in this application can also be applied to muting alarm clocks, muting incoming video calls, etc.

Figure 15 is a schematic diagram of a guidance display interface for muting incoming calls on a wearable device provided by an embodiment of the present application.

For example, as shown in (a) of FIG. 15 , the guidance display interface 1301 of the wearable device for muting incoming calls displays the prompt message "Turn outward/inward and then return immediately"; when the user carries the wearable device and executes After the corresponding operation, if the wearable device is currently connected to the electronic device and the electronic device is in the incoming call state; for example, the incoming call display interface 1302 shown in (b) of Figure 15, after detecting that the user performs an outward/inward flip and then After returning immediately, the function of muting incoming calls will be executed.

Optionally, the incoming call mute function can include any of the following:

FIG. 16 is a schematic diagram of an interface for turning on incoming call muting in an electronic device according to an embodiment of the present application.

Exemplarily, the graphical user interface (GUI) shown in (a) in Figure 16 is the desktop 1410 of the electronic device; the electronic device detects the user's operation of clicking the control 1420 of the setting application on the desktop 1410, As shown in (b) of Figure 16; when the electronic device detects that the user clicks on the control 1420 of the setting application on the desktop 1410, another GUI as shown in (c) of Figure 16 can be displayed; in Figure 16 The GUI shown in (c) may be a display interface for setting up an application. The display interface may include controls such as wireless network, Bluetooth, battery, or incoming call mute; for example, a control 1430 that includes incoming call mute; the electronic device detects that the The click operation of the control 1430 for muting incoming calls is shown in (d) in Figure 16; after the electronic device detects the operation of the control 1430 for muting incoming calls, the display interface for muting incoming calls is displayed; in the display interface for muting incoming calls It may include an overall mute control 1440, a device mute control 1450, and a wearable device mute control 1460, as shown in (e) of Figure 16 .

Optionally, as shown in (f) of FIG. 16 , if the electronic device detects a click operation on the overall mute control, the electronic device and the wearable device can be collectively controlled to perform the function of muting incoming calls.

For example, when an electronic device receives a call, the electronic device can ring, vibrate, or ring and vibrate; the wearable device can also ring, vibrate, or ring and vibrate; when the output tag value is 1, the electronic device and the wearable device can stop sending any prompt information. For example, if the electronic device is ringing and vibrating when a call comes in, and the wearable device is also ringing and vibrating, then when the output tag value is 1, the electronic device and the wearable device can both stop ringing and vibrating to mute the call.

Optionally, as shown in (g) of FIG. 16 , when the electronic device detects a click operation on a control for muting the device, the incoming call mute function of the electronic device can be implemented separately.

For example, when the electronic device receives a call, the electronic device can be in a ringing, vibrating, or ringing and vibrating state; when the output tag value is 1, the electronic device can be caused to stop sending any prompt information. For example, if the electronic device is ringing and vibrating when a call comes in, then when the output tag value is 1, the electronic device can stop ringing and vibrating to mute the incoming call; at this time, when the electronic device implements the mute function of the incoming call , there is no limit to the status of the wearable device; the wearable device can be in a ringing, vibrating, or ringing and vibrating state.

Optionally, as shown in (h) of Figure 16, if the electronic device detects a click operation on the control for muting the wearable device, the incoming call muting function of the wearable device can be independently implemented.

For example, when an electronic device receives a call, the wearable device can be in a ringing, vibrating, or ringing and vibrating state; when the output tag value is 1, the wearable device can be stopped from issuing any prompt information. For example, if the wearable device is ringing and vibrating when the electronic device receives a call, then when the output tag value is 1, the wearable device can stop ringing and vibrating to mute the incoming call; at this time, the wearable device can implement the incoming call muting function. In the case of , there may be no restrictions on the state of the electronic device; the electronic device may be in a ringing, vibrating, or ringing and vibrating state.

Optionally, the above is an example of a scenario of muting an incoming call; the method provided by the embodiment of the present application is also applicable to a scenario of muting an alarm clock or a scenario of muting an incoming video call.

Optionally, the method for controlling incoming call muting provided by the embodiments of this application can also be applied to the scenario of answering a call; that is, by acquiring data from the acceleration sensor of the wearable device; based on the acquired data, a tag value is output, and the tag value can be used to indicate Electronic devices answer calls or they don't.

It should be understood that the above examples are to help those skilled in the art understand the embodiments of the present application, but are not intended to limit the embodiments of the present application to the specific numerical values or specific scenarios illustrated. Those skilled in the art can obviously make various equivalent modifications or changes based on the above examples, and such modifications or changes also fall within the scope of the embodiments of the present application.

The method for controlling incoming call muting provided by the embodiment of the present application is described in detail above with reference to Figures 1 to 16; below, the device embodiment of the present application will be described in detail with reference to Figures 17 and 18. It should be understood that the devices in the embodiments of the present application can perform various methods of the foregoing embodiments of the present application, that is, for the specific working processes of the following various products, reference can be made to the corresponding processes in the foregoing method embodiments.

Figure 17 is a schematic structural diagram of an electronic device provided by an embodiment of the present application. The electronic device 1500 includes a detection module 1510 and a processing module 1520.

Optionally, the electronic device 1500 may refer to the first electronic device shown in FIG. 4 .

Optionally, in the case where the second electronic device has a certain storage space and computing capability, the electronic device 1500 may refer to the second electronic device as shown in FIG. 4 .

The detection module 1510 is used to detect an incoming call from the first electronic device; the processing module 1520 is used to collect data from an acceleration sensor in the second electronic device in response to the incoming call; and obtain a third electronic device based on the data from the acceleration sensor. information of a peak value and information of a second peak value, the first peak value being the first acceleration signal amplitude related to the user's first action, the first acceleration signal amplitude being the acceleration signal at the first moment, the The second peak value is the second acceleration signal amplitude related to the user's second action, and the second acceleration signal amplitude is the acceleration signal at the second moment; if the first action and the second action match Preset action, and the direction of the first action and the direction of the second action are different, determine that the time difference between the first moment and the second moment is less than or equal to the first preset threshold, stop Part or all of the prompt information of the incoming call in the first electronic device and/or the second electronic device.

Optionally, as an embodiment, the processing module 1520 is specifically used to:

Optionally, as an embodiment, the processing module 1520 is specifically configured to:

The data of the acceleration sensor are processed based on a peak-finding algorithm to obtain a data set, where the data set includes information about the first peak value and information about the second peak value.

Optionally, as an embodiment, the information about the first peak includes a first identifier, and the first identifier is the identifier of the data frame corresponding to the first peak; the information about the second peak includes a second identifier. , the second identifier is the identifier of the data frame corresponding to the second peak value, and the time difference is a time difference obtained based on the first identifier and the second identifier.

Optionally, as an embodiment, the direction of the first action is opposite to the direction of the second action.

Optionally, as an embodiment, the direction of the first action is opposite to the direction of the second action, including:

Optionally, as an embodiment, the first peak value is the first acceleration signal amplitude collected based on the user's first action; the second peak value is the amplitude value based on the user's first action. The second acceleration signal amplitude collected by the second action.

Optionally, as an embodiment, the preset action includes an action of turning the wrist.

Optionally, as an embodiment, the prompt information includes ring prompt information and/or vibration prompt information.

Optionally, as an embodiment, the communication connection between the first electronic device and the second electronic device includes:

Optionally, as an embodiment, the processing module 1520 is also used to:

Display the first interface;

A first operation is detected in the first interface, and the first operation is an operation indicating to turn on mute for incoming calls.

It should be noted that the above-mentioned electronic device 1500 is embodied in the form of a functional module. The term "module" here can be implemented in the form of software and/or hardware, and is not specifically limited.

For example, a "module" may be a software program, a hardware circuit, or a combination of both that implements the above functions. The hardware circuit may include an application specific integrated circuit (ASIC), an electronic circuit, a processor (such as a shared processor, a dedicated processor, or a group processor) for executing one or more software or firmware programs. etc.) and memory, merged logic circuitry, and/or other suitable components to support the described functionality.

Therefore, the units of each example described in the embodiments of the present application can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Skilled artisans may implement the described functionality using different methods for each specific application, but such implementations should not be considered beyond the scope of this application.

Figure 18 shows a schematic structural diagram of an electronic device provided by this application. The dotted line in Figure 18 indicates that this unit or module is optional; the electronic device 1600 can be used to implement the method described in the above method embodiment.

The electronic device 1600 includes one or more processors 1601, and the one or more processors 1601 can support the electronic device 1600 to implement the method of controlling incoming call muting in the method embodiment. Processor 1601 may be a general-purpose processor or a special-purpose processor. For example, the processor 1601 can be a central processing unit (CPU), a digital signal processor (DSP), an application specific integrated circuit (ASIC), or a field programmable gate array (field programmable). gate array, FPGA) or other programmable logic devices, such as discrete gates, transistor logic devices, or discrete hardware components.

The processor 1601 can be used to control the electronic device 1600, execute software programs, and process data of the software programs. The electronic device 1600 may also include a communication unit 1605 to implement input (reception) and output (transmission) of signals.

For example, the electronic device 1600 may be a chip, the communication unit 1605 may be an input and/or output circuit of the chip, or the communication unit 1605 may be a communication interface of the chip, and the chip may be a component of a terminal device or other electronic devices.

For another example, the electronic device 1600 may be a terminal device, and the communication unit 1605 may be a transceiver of the terminal device, or the communication unit 1605 may be a transceiver circuit of the terminal device.

Electronic device 1600 may include one or more memories 1602 on which programs 1604 are stored. Programs 1604 It can be run by the processor 1601 to generate instructions 1603, so that the processor 1601 executes the method of controlling incoming call muting described in the above method embodiment according to the instructions 1603.

Optionally, data may also be stored in the memory 1602.

Optionally, the processor 1601 may also read data stored in the memory 1602 . The data may be stored at the same storage address as the program 1604 , or may be stored at a different storage address from the program 1604 .

The processor 1601 and the memory 1602 can be provided separately or integrated together, for example, integrated on a system on chip (SOC) of the terminal device.

For example, the memory 1602 can be used to store the relevant program 1604 for the method of controlling incoming call muting provided in the embodiment of the present application, and the processor 1601 can be used to call the method of controlling the incoming call muting stored in the memory 1602 when executing the control of incoming call muting. The related program 1604 executes the method for controlling incoming call muting according to the embodiment of the present application; for example, detecting an incoming call from the first electronic device; in response to the incoming call, collecting data from the acceleration sensor in the second electronic device; based on the data from the acceleration sensor, The information of the first peak value and the information of the second peak value, the first peak value is the first acceleration signal amplitude related to the user's first action, the first acceleration signal amplitude is the acceleration signal at the first moment, and the second peak value is the The second acceleration signal amplitude related to the user's second action, the second acceleration signal amplitude is the acceleration signal at the second moment; if the first action and the second action comply with the preset action, and the direction of the first action and the second The directions of the actions are different, it is determined that the time difference between the first moment and the second moment is less than or equal to the first preset threshold, and part or all of the prompt information for the incoming call in the first electronic device and/or the second electronic device is stopped.

Optionally, the processor 1601 may be used to perform various steps/functions of the embodiments shown in FIGS. 4 to 13 .

The present application also provides a computer program product, which, when executed by the processor 1601, implements the method for controlling incoming call muting according to any method embodiment of the present application.

The computer program product may be stored in the memory 1602, such as a program 1604. The program 1604 is finally converted into an executable object file that can be executed by the processor 1601 through processes such as preprocessing, compilation, assembly, and linking.

This application also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a computer, the method for controlling incoming call muting described in any method embodiment of this application is implemented. The computer program may be a high-level language program or an executable object program.

Optionally, the computer-readable storage medium is, for example, memory 1602. Memory 1602 may be volatile memory or nonvolatile memory, or memory 1602 may include both volatile memory and nonvolatile memory. Among them, the non-volatile memory can be read-only memory (ROM), programmable ROM (PROM), erasable programmable read-only memory (erasable PROM, EPROM), electrically removable memory. Erase programmable read-only memory (electrically EPROM, EEPROM) or flash memory. Volatile memory may be random access memory (RAM), which is used as an external cache. By way of illustration, but not limitation, many forms of RAM are available, such as static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (synchronous DRAM, SDRAM), double data rate synchronous dynamic random access memory (double data rate SDRAM, DDR SDRAM), enhanced synchronous dynamic random access memory (enhanced SDRAM, ESDRAM), synchronous link dynamic random access memory (synchlink DRAM, SLDRAM) ) and direct memory bus random access memory (direct rambus RAM, DR RAM).

It should be noted that although the electronic device 1600 shown in FIG. 18 above only shows a memory, a processor, and a communication interface, during the specific implementation process, those skilled in the art will understand that the electronic device 1600 may also include all necessary components to achieve normal operation. other necessary components. At the same time, according to specific needs, those skilled in the art should understand that the above-mentioned electronic device 1600 may also include hardware devices that implement other additional functions. In addition, those skilled in the art should understand that the above-mentioned electronic device 1600 may only include components necessary to implement the embodiments of the present application, and does not necessarily include all components shown in FIG. 18 .

The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

It should be understood that the term "and/or" in this article is only an association relationship describing related objects, indicating that there can be three relationships, for example, A and/or B, which can mean: A alone exists, and A and B exist simultaneously. , there are three cases of B alone, where A and B can be singular or plural. In addition, the character "/" in this article generally indicates that the related objects are an "or" relationship, but it may also indicate an "and/or" relationship. For details, please refer to the previous and later contexts for understanding.

In this application, "at least one" refers to one or more, and "plurality" refers to two or more. "At least one of the following" or similar expressions thereof refers to any combination of these items, including any combination of a single item (items) or a plurality of items (items). For example, at least one of a, b, or c can represent: a, b, c, a-b, a-c, b-c, or a-b-c, where a, b, c can be single or multiple .

It should be understood that in the various embodiments of the present application, the size of the sequence numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its functions and internal logic, and should not be used in the embodiments of the present application. The implementation process constitutes any limitation.

Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented with electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Skilled artisans may implement the described functionality using different methods for each specific application, but such implementations should not be considered beyond the scope of this application. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working processes of the systems, devices and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be described again here.

In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative, for example, the unit Division is only a logical functional division. In actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. On the other hand, the coupling or direct coupling or communication connection between each other shown or discussed may be through some interfaces, and the indirect coupling or communication connection of the devices or units may be in electrical, mechanical or other forms.

The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or they may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application can be integrated into one processing unit, each unit can exist physically alone, or two or more units can be integrated into one unit.

If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the existing technology or the part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including Several instructions are used to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of this application. The aforementioned storage media include: U disk, mobile hard disk, read-only memory (ROM), random access memory (Random Access Memory, RAM), magnetic disk or optical disk and other media that can store program code. .

The above are only specific embodiments of the present application, but the protection scope of the present application is not limited thereto. Any person familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application. should be covered by the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

Claims

A method for controlling incoming call muting, applied to a system including a first electronic device and a second electronic device, the first electronic device is communicatively connected to the second electronic device, and the second electronic device is a wearable device, It is characterized in that the method includes:

An incoming call from the first electronic device is detected;

In response to the incoming call, collect data from the acceleration sensor in the second electronic device;

The first peak value information and the second peak value information are obtained based on the data of the acceleration sensor. The first peak value is the first acceleration signal amplitude and the first gyroscope information amplitude related to the user's first action, so The first acceleration signal amplitude is the acceleration signal and the first gyroscope signal amplitude at the first moment, the second peak value is the second acceleration signal amplitude related to the user's second action, and the second The acceleration signal amplitude is the acceleration signal at the second moment;

If the first action and the second action comply with the preset action, and the direction of the first action and the direction of the second action are different, determine the distance between the first moment and the second moment. If the time difference is less than or equal to the first preset threshold, part or all of the prompt information of the incoming call in the first electronic device and/or the second electronic device is stopped.
The method of claim 1, wherein the time difference between the first moment and the second moment is determined to be less than or equal to a first preset threshold, stopping the first electronic device and /Or part or all of the prompt information for the incoming call in the second electronic device includes:

It is determined that the time difference between the first moment and the second moment is less than or equal to a first preset threshold, and the ratio of the first acceleration signal amplitude to the second acceleration signal amplitude satisfies the first Scope, stop part or all of the prompt information of the incoming call in the first electronic device and/or the second electronic device.
The method of claim 1 or 2, wherein obtaining the first peak information and the second peak information based on the data of the acceleration sensor includes:

The data of the acceleration sensor is processed based on a peak-seeking algorithm to obtain a data set, where the data set includes information on the first peak and information on the second peak.
The method of claim 3, wherein the data of the acceleration sensor is processed based on a peak-finding algorithm to obtain a data set, including:

The data of the acceleration sensor is processed by a neural network model to obtain the data set, and the neural network model is used to run the peak-finding algorithm.
The method according to claim 3 or 4, characterized in that the data of the acceleration sensor are processed based on the peak-seeking algorithm to obtain a data set, including:

Perform filtering processing on the data of the acceleration sensor to obtain processed data;

The processed data is processed based on the peak-finding algorithm to obtain the data set.
The method of claim 5, wherein filtering the acceleration sensor data to obtain processed data includes:

Perform the filtering process on the data of the acceleration sensor based on a mean filter to obtain the processed data.
The method according to any one of claims 3 to 6, characterized in that the information packet of the first peak including a first identifier, which is the identifier of the data frame corresponding to the first peak; the information of the second peak includes a second identifier, and the second identifier is the data frame corresponding to the second peak The time difference is the time difference obtained based on the first identification and the second identification.
The method according to any one of claims 1 to 7, characterized in that the direction of the first action is opposite to the direction of the second action.
The method of claim 8, wherein the direction of the first action is opposite to the direction of the second action, including:

The direction of the first action is clockwise, and the direction of the second action is counterclockwise; or,

The direction of the first movement is counterclockwise, and the direction of the second movement is clockwise.
The method according to any one of claims 1 to 9, wherein collecting data from an acceleration sensor in the second electronic device includes:

The data of the acceleration sensor in the second electronic device is collected within a preset time period, and the preset time period is the time period of the incoming call.
The method according to any one of claims 1 to 10, wherein the first peak value is the first acceleration signal amplitude collected based on the first action of the user; and the second The peak value is the second acceleration signal amplitude collected based on the second action of the user.
The method according to any one of claims 1 to 11, characterized in that the preset action includes an action of turning the wrist.
The method according to any one of claims 1 to 12, wherein the step of stopping part or all of the prompt information of the incoming call in the first electronic device and/or the second electronic device comprises:

Stop all prompt information of the incoming call in the first electronic device and/or the second electronic device.
The method of claim 13, wherein stopping all prompt information of the incoming call in the first electronic device and/or the second electronic device includes:

Stop all prompt information of the incoming call in the first electronic device and the second electronic device.
The method according to claim 14 is characterized in that the prompt information includes ringing prompt information and/or vibration prompt information.
The method according to any one of claims 1 to 15, wherein the communication connection between the first electronic device and the second electronic device includes:

The first electronic device and the second electronic device are connected wirelessly, or the first electronic device and the second electronic device are connected via Bluetooth.
The method according to any one of claims 1 to 16, further comprising:

Display the first interface;

A first operation is detected in the first interface, and the first operation is an operation indicating to turn on mute for incoming calls.
An electronic device, characterized by including:

one or more processors and memories;

The memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors invoke the computer instructions to cause the The electronic device performs the method according to any one of claims 1 to 17.
A chip system, characterized in that the chip system is applied to electronic equipment, and the chip system One or more processors are included, and the processor is used to invoke computer instructions to cause the electronic device to perform the method according to any one of claims 1 to 17.
A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program. When the computer program is executed by a processor, the processor causes the processor to execute any one of claims 1 to 17. Methods.