Earphone charging bin interaction method and device, electronic equipment and storage medium

Abstract

This application provides an interactive method, device, electronic device, and storage medium for an earphone charging case, belonging to the field of Internet of Things (IoT) technology. The method includes: acquiring an application running status signal from an external mobile terminal via a wireless communication unit; responding to the application running status signal indicating that a preset category of application is running on the external mobile terminal, transmitting a detection medium to a preset spatial range via a non-contact sensing unit, and receiving the returned feedback signal data; performing time-domain feature extraction and waveform analysis on the feedback signal data to obtain corresponding spatial feature actions; generating corresponding multimedia control commands based on the spatial feature actions and a preset control logic mapping relationship; and sending the multimedia control commands to the external mobile terminal via the wireless communication unit to control the application to execute corresponding multimedia control operations. This application provides users with more interactive methods through the earphone charging case.

Description

Technical Field

[0001] This application relates to the field of Internet of Things (IoT) technology, and in particular to an interactive method, device, electronic device, and storage medium for an earphone charging case. Background Technology

[0002] Existing wireless earphone charging cases primarily function only to provide power and storage for the earphones. However, in real-world usage scenarios, this single-function definition does not fully utilize the potential of the charging case as an independent smart device. Although some charging cases have basic communication functions, their hardware resources are not fully utilized when idle, and they are usually unable to function as an independent interactive terminal to control connected electronic devices.

[0003] Therefore, there is an urgent need to expand the functionality of the earphone charging case to enhance the user experience, rather than simply maintaining the earphone charging function. Summary of the Invention

[0004] The main objective of this application is to provide an interactive method, device, electronic device, and storage medium for an earphone charging case, aiming to provide users with more interactive methods through the earphone charging case.

[0005] To achieve the above objectives, a first aspect of this application provides an interaction method for an earphone charging case. The method is applied to an earphone charging case, which includes a wireless communication unit and a non-contact sensing unit. The method includes: The application running status signal from the external mobile terminal is obtained through the wireless communication unit; In response to the application running status signal indicating that a preset category of application is running on the external mobile terminal, the non-contact sensing unit transmits a detection medium to a preset spatial range and receives the returned feedback signal data. The feedback signal data is subjected to time-domain feature extraction and waveform analysis to obtain the corresponding spatial feature actions; Based on the spatial feature actions and the preset control logic mapping relationship, corresponding multimedia control commands are generated; The multimedia control command is sent to the external mobile terminal via the wireless communication unit to control the application to perform the corresponding multimedia control operation.

[0006] In some embodiments, the step of performing time-domain feature extraction and waveform analysis on the feedback signal data to obtain the corresponding spatial feature action includes: Obtain the duty cycle of the waveform coverage time in the total sampling period and the duration of the signal in the feedback signal data; The duty cycle is compared with multiple preset object shape thresholds to obtain the operation body classification result. In response to the operation body classification result indicating a low duty cycle and the duration being less than a preset coverage time threshold, the spatial feature action is determined to be a single-finger operation; In response to the operation body classification result indicating a high duty cycle and the duration exceeding a preset coverage time threshold, the spatial feature action is determined to be a multi-finger operation.

[0007] In some embodiments, the step of performing time-domain feature extraction and waveform analysis on the feedback signal data to obtain the corresponding spatial feature action includes: Obtain the slope of the signal strength change over time in the feedback signal data; The absolute value of the slope of change is compared with a preset motion speed threshold to obtain the motion dynamic feature result. In response to the dynamic feature result indicating a change slope greater than the action speed threshold, the spatial feature action is determined to be a quick switching gesture; In response to the dynamic feature result indicating that the slope of change is less than the action speed threshold and remains non-zero, the spatial feature action is determined to be a continuous adjustment gesture.

[0008] In some embodiments, the step of performing time-domain feature extraction and waveform analysis on the feedback signal data to obtain the corresponding spatial feature action includes: Extract the trend of signal strength change in the feedback signal data; In response to the change trend indicator signal strength changing from weak to strong, the spatial characteristic action is determined to be a pressing down or approaching action; In response to the change in the strength of the trend indicator signal decreasing from strong to weak, the spatial characteristic action is determined to be a lifting or moving away action.

[0009] In some embodiments, the earphone charging case further includes a visual acquisition unit; The response to the application running status signal indicating that a preset category of application is running on the external mobile terminal, the method of transmitting a detection medium to a preset spatial range through the non-contact sensing unit and receiving the returned feedback signal data, further includes: The vision acquisition unit is controlled to acquire environmental image data in front of the charging compartment; Based on the environmental image data, image content recognition and screen feature matching are performed to obtain the visual confirmation result of the current scene; Based on the visual confirmation result, a matching verification is performed with the preset user operation characteristics to obtain a scene verification pass signal; In response to the scene verification pass signal, the non-contact sensing unit transmits a detection medium to a preset spatial range and receives the returned feedback signal data.

[0010] In some embodiments, the method further includes: In response to the scenario verification pass signal, the preset far-field gain configuration parameters are invoked; The signal receiving sensitivity of the non-contact sensing unit is adjusted using the far-field gain configuration parameters to obtain an enhanced receiving mode suitable for non-contact operation scenarios; wherein, the enhanced receiving mode is configured to collect the feedback signal data generated within a preset long-distance range.

[0011] In some embodiments, the earphone charging case further includes a status monitoring sensor array, and the method further includes: The three-axis acceleration data and environmental distance data of the earphone charging case are obtained through the state monitoring sensor group; The spatial position of the earphone charging case is obtained by performing attitude classification analysis on the acceleration data and the environmental distance data. In response to the spatial position status result indicating that the earphone charging case is in a confined storage space, the generated multimedia control command is invalidated.

[0012] To achieve the above objectives, a second aspect of this application provides an interactive device for an earphone charging case, the device comprising: The status detection module is used to acquire application running status signals from an external mobile terminal through the wireless communication module; A spatial detection module is used to respond to the application running status signal indicating that a preset category of application is running on the external mobile terminal, and to transmit a detection medium to a preset spatial range through the non-contact sensing module and receive the returned feedback signal data. The feedback signal analysis module is used to perform time-domain feature extraction and waveform analysis on the feedback signal data to obtain the corresponding spatial feature actions. The control instruction generation module is used to generate corresponding multimedia control instructions based on the spatial feature actions and the preset control logic mapping relationship; An interactive control module is used to send the multimedia control commands to the external mobile terminal through the wireless communication module, so as to control the application to perform corresponding multimedia control operations.

[0013] To achieve the above objectives, a third aspect of this application provides an electronic device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the earphone charging case interaction method described in the first aspect.

[0014] To achieve the above objectives, a fourth aspect of the present application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the earphone charging case interaction method described in the first aspect.

[0015] The earphone charging case interaction method, device, electronic device, and storage medium proposed in this application acquire application running status signals from an external mobile terminal through a wireless communication unit. Responding to the application running status signal indicating that a preset category of application is running on the external mobile terminal, a non-contact sensing unit transmits a detection medium into a preset spatial range and receives the returned feedback signal data. The feedback signal data undergoes time-domain feature extraction and waveform analysis to obtain corresponding spatial feature actions. Based on the spatial feature actions and a preset control logic mapping relationship, corresponding multimedia control commands are generated. These multimedia control commands are then sent to the external mobile terminal via the wireless communication unit to control the application to execute corresponding multimedia control operations. Therefore, by configuring a non-contact sensing unit, this application transforms the earphone charging case from a passive energy container into a device capable of sensing that a specific application, such as video software, is running on an external device. It then actively activates the sensing unit to transmit a detection medium into a preset space and analyzes the received feedback signals to generate corresponding multimedia control commands to control the application. This endows the earphone charging case with independent data processing and command decision-making capabilities, making it a smart interactive terminal capable of controlling multimedia applications remotely, significantly enhancing the user's interactive experience. Attached Figure Description

[0016] Figure 1 This is a flowchart illustrating an optional earphone charging case interaction method provided in an embodiment of this application; Figure 2 yes Figure 1 A flowchart illustrating step S103 in the process; Figure 3 yes Figure 1 Another flowchart of step S103 in the process; Figure 4 yes Figure 1 Another flowchart of step S103 in the process; Figure 5 yes Figure 1 A flowchart illustrating step S102 in the process; Figure 6 yes Figure 5 A flowchart illustrating step S505 in the process; Figure 7 This is a flowchart illustrating another optional earphone charging case interaction method provided in this application embodiment; Figure 8 This is a schematic diagram of the structure of the earphone charging case interaction device provided in the embodiments of this application; Figure 9 This is a schematic diagram of the hardware structure of the electronic device provided in the embodiments of this application. Detailed Implementation

[0017] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0018] It should be noted that although functional modules are divided in the device schematic diagram and a logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in a different order than the module division in the device or the order in the flowchart. The terms "first," "second," etc., in the specification, claims, and the aforementioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence.

[0019] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of this application only and is not intended to limit this application.

[0020] In the existing technology, the main function of wireless earphone charging cases is limited to providing power to the earphones and storing them. This single function definition does not fully utilize the potential of the charging case as an independent smart hardware. Although some charging cases have basic communication functions, their hardware resources are not fully utilized when idle, and they usually cannot be used as an independent interactive terminal to control connected electronic devices.

[0021] Meanwhile, users still have some interactive needs. When watching short videos or browsing media streams, users need to frequently turn pages or switch between apps. In specific scenarios such as dining, cooking, or when hands are stained, directly touching the screen can be inconvenient or damage the screen. Although there are standalone Bluetooth remote controls available, this increases the user's carrying burden and hardware costs, and using a Bluetooth remote control can still cause it to get dirty.

[0022] Furthermore, the earphone charging case lacks application scenario awareness and visual confirmation mechanisms. Existing earphone charging cases cannot recognize currently running applications on the mobile device, such as whether a short video app is open, nor can they visually confirm the content displayed on the screen. This prevents the charging case from automatically switching to the appropriate control mode based on the actual usage scenario, such as automatically activating infrared gesture control. This usually requires manual setup by the user, making the process cumbersome.

[0023] In response, this application provides an interactive method, device, electronic device, and storage medium for an earphone charging case, aiming to provide users with more interactive methods through the earphone charging case.

[0024] The earphone charging case interaction method, device, electronic device and storage medium provided in the embodiments of this application are specifically described through the following embodiments. First, the earphone charging case interaction method in the embodiments of this application is described.

[0025] The earphone charging case interaction method provided in this application relates to the field of Internet of Things (IoT) technology. This earphone charging case interaction method can be applied to a terminal, a server, or software running on either a terminal or a server. In some embodiments, the terminal can be a smartphone, tablet, laptop, desktop computer, etc.; the server can be configured as an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms; the software can be an application implementing the earphone charging case interaction method, but is not limited to the above forms.

[0026] This application can be used in a wide variety of general-purpose or special-purpose computer system environments or configurations. Examples include: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, and distributed computing environments including any of the above systems or devices. This application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc., that perform specific tasks or implement specific abstract data types. This application can also be practiced in distributed computing environments where tasks are performed by remote processing devices connected via a communication network. In distributed computing environments, program modules can reside in local and remote computer storage media, including storage devices.

[0027] It should be noted that in all specific embodiments of this application, when processing data related to user identity or characteristics, such as user information, user behavior data, user historical data, and user location information, user permission or consent is obtained first. Furthermore, the collection, use, and processing of this data comply with relevant laws, regulations, and standards. In addition, when embodiments of this application require access to sensitive personal information of users, separate permission or consent from the user is obtained through pop-ups or redirection to confirmation pages. Only after obtaining the user's separate permission or consent is the necessary user-related data required for the proper functioning of these embodiments acquired.

[0028] Figure 1 This is an optional flowchart illustrating the interaction method of the earphone charging case provided in an embodiment of this application. The earphone charging case includes a wireless communication unit and a non-contact sensing unit. Figure 1 The method may include, but is not limited to, steps S101 to S105.

[0029] Step S101: Obtain the application running status signal from the external mobile terminal through the wireless communication unit; Step S102: In response to the application running status signal indicating that a preset category of application is running on the external mobile terminal, a detection medium is emitted to a preset spatial range through a non-contact sensing unit, and the returned feedback signal data is received. Step S103: Extract time-domain features and perform waveform analysis on the feedback signal data to obtain the corresponding spatial feature actions; Step S104: Generate corresponding multimedia control commands based on the spatial feature actions and the preset control logic mapping relationship; In step S105, multimedia control commands are sent to an external mobile terminal via a wireless communication unit to control the application to perform corresponding multimedia control operations.

[0030] In steps S101 to S105 of this embodiment, an application running status signal from an external mobile terminal is acquired via a wireless communication unit. Responding to the application running status signal indicating that a preset category of application is running on the external mobile terminal, a non-contact sensing unit transmits a detection medium into a preset spatial range and receives the returned feedback signal data. Time-domain feature extraction and waveform analysis are performed on the feedback signal data to obtain corresponding spatial feature actions. Based on the spatial feature actions and the preset control logic mapping relationship, corresponding multimedia control commands are generated. These multimedia control commands are then sent to the external mobile terminal via the wireless communication unit to control the application to perform corresponding multimedia control operations. Therefore, by configuring a non-contact sensing unit, this application transforms the earphone charging case from a passive energy container into a device capable of sensing that an external device is running a specific application, such as video software. It then actively activates the sensing unit to transmit a detection medium into a preset space and analyzes the received feedback signal to generate corresponding multimedia control commands to control the application. This endows the earphone charging case with independent data processing and command decision-making capabilities, making it a smart interactive terminal capable of controlling multimedia applications remotely, significantly enhancing the user's interactive experience.

[0031] In step S101 of some embodiments, the earphone charging case establishes a communication connection with an external mobile terminal using a built-in wireless communication unit. The wireless communication unit not only undertakes conventional audio stream transmission or power data synchronization tasks, but is also configured to monitor or actively query the software operation status of the external mobile terminal.

[0032] In this way, the earphone charging case can obtain the application running status signal on the external mobile terminal in real time. The application running status signal includes the category identifier or status bit information of the application currently running in the foreground on the mobile terminal, so that the earphone charging case can perceive the current business scenario of the external mobile terminal.

[0033] In step S102 of some embodiments, the control logic inside the earphone charging case performs a logical judgment on the acquired application running status signal. When it is confirmed that the application running status signal indicates that the external mobile terminal is running an application belonging to a preset category, such as a short video software, a streaming media player, or a reading software, the non-contact sensing unit, which is in standby or sleep mode, is automatically activated. Subsequently, the non-contact sensing unit drives the transmitting device to emit a detection medium, such as modulated infrared light, ultrasonic pulses, or electromagnetic waves, into a preset space above the earphone charging case.

[0034] Meanwhile, the receiving device of the non-contact sensing unit continuously monitors the space. Once an object enters, it receives the energy wave reflected from the object's surface and converts it into digital feedback signal data. The feedback signal data is the reflected wave or feedback information obtained through the detection medium emitted by the earphone charging case.

[0035] In step S103 of some embodiments, the acquired feedback signal data is first subjected to time-domain feature extraction, that is, key parameters such as pulse duration, peak value of signal amplitude, and pulse interval are calculated from the original signal. Then, waveform analysis is performed to calculate the slope of signal intensity change over time, the shape of the envelope, and the duty cycle of the waveform. By comparing these physical-level feature parameters with a preset action model and performing feature clustering, noise interference can be removed from complex reflected signals, and corresponding spatial feature actions can be analyzed. For example, it can be identified whether an object is performing a rapid upward swipe, a hovering action, or a click action within a preset spatial range.

[0036] In step S104 of some embodiments, a pre-configured control logic mapping relationship in the internal memory is invoked. The control logic mapping relationship defines a correspondence between specific spatial feature actions and specific software function instructions. Based on the control logic mapping relationship, the parsed spatial feature actions can be converted into standard or custom multimedia control instructions that can be recognized by the external mobile terminal. For example, if the recognized action is a quick swipe, control code for "switching to the next content" can be generated according to the correspondence table of the control logic mapping relationship; if the recognized action is a double occlusion within a short period, control code for "triggering a like" or "pausing playback" can be generated.

[0037] In step S105 of some embodiments, the earphone charging case again utilizes the wireless communication unit to transmit the generated multimedia control commands via Bluetooth or by packaging them into a communication protocol and sending them to an external mobile terminal. Upon receiving the multimedia control commands, the operating system or application programming interface of the external mobile terminal parses them into input events and directly applies them to the currently running application, thereby controlling the application to perform the corresponding multimedia control operation. This completes the closed loop from physical gestures to software response, enabling the control of video or audio streams without touching the screen.

[0038] Please see Figure 2 In some embodiments, step S103 may include, but is not limited to, steps S201 to S204: Step S201: Obtain the duty cycle of the waveform coverage time in the total sampling period and the duration of the signal in the feedback signal data; Step S202: The duty cycle is compared with multiple preset object shape thresholds to obtain the operation body classification result. Step S203: In response to the operation body classification result indicating a low duty cycle and a duration less than a preset coverage time threshold, determine the spatial feature action as a single-finger operation. Step S204: In response to the operation body classification result indicating a high duty cycle and a duration exceeding a preset coverage time threshold, the spatial feature action is determined to be a multi-finger operation.

[0039] In step S201 of some embodiments, a thorough time-domain analysis is performed on the received feedback signal data. First, the rising and falling edges of the signal waveform are identified to determine the start and end points of the signal on the time axis, and then the duration of the signal is calculated. Simultaneously, within a preset total sampling period, the effective time period during which the waveform amplitude exceeds the background noise threshold is calculated by integration, and the ratio of this effective time period to the total sampling period is defined as the duty cycle. This transforms the original analog or digital waveform signal into key physical parameters that can quantify the degree of object occlusion and the duration of the action.

[0040] In step S202 of some embodiments, multiple object shape thresholds pre-stored in the storage unit can be invoked. These object shape thresholds are set based on the typical occlusion ratios of objects of different sizes when they pass in front of or stop in front of the non-contact sensing unit, such as a single finger, multiple fingers together, or the entire palm. The obtained duty cycle can be compared with these object shape thresholds one by one. If the duty cycle value falls in the low threshold range, the object is tended to be identified as a slender object; if the duty cycle value falls in the high threshold range, the object is tended to be identified as a large object. Through this comparison process, a preliminary object classification result can be output to identify the type of object currently intervening in the sensing area.

[0041] In step S203 of some embodiments, a joint determination is made based on the duration. When the operation classification result indicates that the current signal has a low duty cycle characteristic, and at the same time the signal duration is less than a preset coverage time threshold, this means that the occlusion area is small and the action is relatively short or fast. The control logic recognizes this action pattern as a precise interactive behavior. Thus, it can be determined that the current spatial feature action is a single-finger operation, which usually corresponds to fine-grained command input such as user click, quick swipe, or tap.

[0042] In step S204 of some embodiments, when the operation body classification result indicates that the current signal has a high duty cycle feature, and at the same time the duration of the signal is detected to exceed the preset coverage time threshold, this means that the occlusion area is large, such as the palm covering, and the object stays above the sensor for a long time. Thus, it can be determined that the behavior has a global control or blocking intention, and the current spatial feature action can be determined to be a multi-finger operation or a palm covering operation, which usually corresponds to global commands such as mute, pause, black screen or refuse to answer.

[0043] The coverage time threshold is a time base parameter configured in the control system's storage unit. It is used to define whether the duration of the feedback signal data on the time axis reaches the critical criterion for determining a coverage state. Specifically, the coverage time threshold corresponds to the shortest duration required for an external object to remain effectively blocked within the detection range of the non-contact sensing unit. When the duration of the feedback signal reaches or exceeds the coverage time threshold, it is logically assumed that the external object is relatively stationary or deliberately stationary above the non-contact sensing unit.

[0044] In some embodiments, the coverage time threshold is set based on ergonomic and interaction habit data. Historical user operation time statistics can be recorded, such as calculating the average time taken for the user to successfully trigger page-turning operations ten times in the past. If the user's operation habits are found to be quick and decisive, the coverage time threshold can be automatically lowered to improve recognition sensitivity; if the user's operation is found to be slow, the coverage time threshold can be automatically raised to enhance recognition inclusiveness. Furthermore, users can also manually personalize this threshold through a companion mobile application to adapt to different usage preferences.

[0045] Steps S201 to S204 enable the parsing of user gestures. This not only distinguishes the physical form of the object being manipulated, such as whether it's a finger or a palm, but also accurately defines the interaction intent based on the duration of the gesture. This multi-dimensional discrimination mechanism effectively avoids erroneous responses caused by misjudgment of a single parameter, enabling the earphone charging case to support various interaction levels, from precise touch control to global coverage control, significantly improving the recognition accuracy of contactless interaction and enriching the user experience.

[0046] Please see Figure 3 In some embodiments, step S103 may also include, but is not limited to, steps S301 to S304: Step S301: Obtain the slope of the signal strength change over time in the feedback signal data; Step S302: Compare the absolute value of the slope of change with the preset motion speed threshold to obtain the motion dynamic feature result. Step S303: In response to the dynamic feature result indicating that the slope of change is greater than the action speed threshold, the spatial feature action is determined to be a fast switching gesture; Step S304: In response to the dynamic feature result indicating that the slope of change is less than the action speed threshold and remains in a non-zero state, the spatial feature action is determined to be a continuous adjustment gesture.

[0047] In step S301 of some embodiments, differentiation or difference calculations can be performed on the received signal strength sequence to obtain the instantaneous rate of change of the signal strength over time, i.e., the slope of change. The slope of change can quantitatively characterize the speed of motion of an external object within the sensor's detection field and the degree of its approach or movement away from the sensor.

[0048] In step S302 of some embodiments, a preset motion speed threshold stored in the storage unit is invoked. The motion speed threshold is a critical reference value that distinguishes between a user's rapid waving operation and a slow, fine-tuning operation. The absolute value of the change slope is compared numerically with the motion speed threshold. Based on the comparison result, corresponding motion dynamic feature results can be generated, thereby qualitatively classifying the physical motion captured within the preset spatial range into a high-speed sudden change or a low-speed gradual change state.

[0049] In step S303 of some embodiments, when the absolute value of the slope of the dynamic feature result indicates a change significantly greater than the action speed threshold, it means that an external object is passing by or entering / exiting the detection area at a relatively high speed. This identifies the user's operational intent as having a clear switching or skipping nature, thus determining the currently captured spatial feature action as a quick switching gesture. Such gestures are typically mapped in subsequent logic to multimedia control commands such as flipping up and down in short videos or skipping tracks in music.

[0050] In step S304 of some embodiments, when the dynamic feature result indicates that the absolute value of the change slope is less than the action speed threshold, but the change slope is simultaneously detected to remain non-zero, i.e., the signal strength is continuously and slowly changing rather than remaining stationary, this means that the external object is undergoing controlled and smooth displacement. Based on this, it is identified that the user's intention is to make a fine adjustment to a certain value, thereby determining the currently captured spatial feature action as a continuous adjustment gesture. Such gestures are typically mapped in subsequent logic to linear increases or decreases in volume, fine adjustments to playback progress, or smooth adjustments to screen brightness.

[0051] In some embodiments, more operation schemes can be generated by combining the physical form of the operation actions identified in steps S201 to S204, such as quick switching with a single finger or quick switching with the palm, which can be mapped to different multimedia control commands such as adjusting volume and adjusting video progress.

[0052] Through steps S301 to S304, by introducing a mechanism for analyzing the slope of signal changes, the earphone charging case is given the ability to recognize the speed of actions. This effectively solves the problem of single gesture recognition easily confusing user intentions and can distinguish between the speed and rhythm of actions. Users only need to change the speed of their gestures to naturally switch between two completely different control modes: content switching and parameter adjustment, greatly improving the richness of non-contact interaction and operational efficiency.

[0053] Please see Figure 4 In some embodiments, step S103 may also include, but is not limited to, steps S401 to S403: Step S401: Extract the trend of signal strength change in the feedback signal data; Step S402: In response to the change trend indicator signal strength changing from weak to strong, determine that the spatial characteristic action is a pressing down or approaching action; Step S403: In response to the change trend indicator signal intensity changing from strong to weak, determine the spatial characteristic action as lifting or moving away.

[0054] In step S401 of some embodiments, the amplitude of the sampled signal is tracked within a continuous time window, and the direction of change of the average signal energy value over adjacent sampling points or a period of time is calculated. By comparing the signal strength values ​​at the current moment with those at historical moments, a trajectory curve reflecting the evolution of signal energy over time is constructed, thereby extracting the trend of signal strength change in the feedback signal data. This trend intuitively reflects the rate of change of distance and displacement direction of the external object relative to the sensor.

[0055] In step S402 of some embodiments, when a trend is detected showing a continuous increase in signal strength from a low value to a high value, according to the physical principles of non-contact detection, this corresponds to the reflective surface continuously shortening the distance between itself and the detection source. Based on this physical phenomenon, the currently captured motion pattern can be identified as an external object moving towards the surface of the charging compartment. Therefore, the spatial characteristic motion can be determined to be a pressing motion or a proximity motion.

[0056] In step S403 of some embodiments, the control logic processes the opposite signal change scenario. When a trend is detected where the signal strength continuously decreases from a high value to a low value, it corresponds to the reflective surface gradually moving away from the detection source. The control system identifies this physical process as an external object retracting from the sensing area. This allows it to determine whether the spatial characteristic action is a lifting action or a moving-away action.

[0057] In some embodiments, the slope of the signal strength change over time in the feedback signal data can be used to determine whether the user's spatial characteristic action is a rapid downward press or a rapid approach, and based on the user's subsequent spatial characteristic action of a slow lift or a slow move away, the user's intent can be identified as a positive interactive command such as "confirm," "select," or "increase gain."

[0058] Through steps S401 to S403, by analyzing the increasing and decreasing trends of signal strength, vertical dimensional perception was successfully introduced into contactless interaction. This design breaks through the limitation of traditional air gestures, which can only recognize two-dimensional planar swipes. By utilizing the signal strength differences caused by distance changes, it simulates the tactile feedback of "pressing" and "releasing" physical buttons, or the linear adjustment feel of push-pull gestures. This allows users to perform operations such as confirmation through simple hand movements, greatly enhancing the intuitiveness and depth of control in contactless interaction.

[0059] Please see Figure 5 In some embodiments, the earphone charging case further includes a visual acquisition unit, and step S102 in this application embodiment may include, but is not limited to, steps S501 to S504: Step S501: Control the vision acquisition unit to acquire environmental image data in front of the charging compartment; Step S502: Based on the environmental image data, perform image content recognition and screen feature matching processing to obtain the visual confirmation result of the current scene; Step S503: Based on the visual confirmation result, perform matching verification with the preset user operation characteristics to obtain the scene verification pass signal; In step S504, in response to the scene verification pass signal, a detection medium is emitted into a preset spatial range through a non-contact sensing unit, and the returned feedback signal data is received.

[0060] In step S501 of some embodiments, a start command can be sent to a visual acquisition unit integrated on the earphone charging case. The visual acquisition unit is typically a miniature camera module or a low-resolution optical sensor array, and its installation position is configured to cover the field of view in front of the charging case. In response to the start command, the visual acquisition unit optically samples the physical environment in front of the charging case, converting the captured light signals into digitized environmental image data. The environmental image data records the visual information of the area directly opposite the earphone charging case at the current moment, such as whether it is facing a mobile terminal screen, desktop, or other background objects.

[0061] In step S502 of some embodiments, an image processing algorithm is introduced to analyze the environmental image data. The processing unit uses computer vision technologies such as edge detection, object recognition, and feature point matching to search for specific geometric and texture features in the environmental image data, with key targets including the user's hand. Through this processing, a visual confirmation result of the current scene is output, which can describe that the operation currently taking place within a preset space is the user's hand, rather than some interfering object.

[0062] In step S503 of some embodiments, the control logic performs a logical match between the visual confirmation result and preset user operation features stored in the storage unit. The preset user operation features define a set of visual elements for effective interaction scenarios, such as the user's face being directly facing the charging case, the user's gaze being within the range of the mobile terminal screen, or the user's hand being in a hovering state in preparation for operation.

[0063] The control logic calculates the similarity or matching score between features in the visual confirmation results and user operation features. When the matching score exceeds a preset confidence threshold, it can be determined that the current scene matches the real user interaction intent, thereby generating a scene verification pass signal. This signal serves as a logical indicator confirming that the user is ready to perform contactless operations.

[0064] In step S504 of some embodiments, the scene verification signal is used as an activation command to drive the non-contact sensing unit to switch from standby mode to working mode. Based on the activation command, the non-contact sensing unit emits a modulated detection medium, such as an infrared beam, ultrasonic wave, or millimeter-wave radar signal, into a preset space outside the charging compartment. Simultaneously, the receiving circuit is activated to continuously collect energy waves reflected back from external objects within this space. The received reflected energy is converted into digital feedback signal data, providing the raw physical input for subsequent gesture recognition algorithms.

[0065] Through steps S501 to S504, a multimodal fusion-based anti-mistouch mechanism is constructed by introducing visual feature matching as a condition for activating non-contact sensing. This design effectively solves the technical challenge of distinguishing between unintentional occlusion and intentional operation. By visually confirming that the user is indeed in an operating state, interference signals under non-interactive intent can be accurately filtered out, avoiding the sending of erroneous commands due to misjudgment. It also avoids the ineffective power consumption of the non-contact sensing unit when no one is using it, significantly improving the intelligence and energy efficiency of the earphone charging case.

[0066] Please see Figure 6 In some embodiments, step S505 may also include, but is not limited to, steps S601 to S602: Step S601: In response to the scene verification pass signal, call the preset far-field gain configuration parameters; Step S602: Adjust the signal receiving sensitivity of the non-contact sensing unit using far-field gain configuration parameters to obtain an enhanced receiving mode suitable for non-contact operation scenarios; wherein, the enhanced receiving mode is configured to collect feedback signal data generated within a preset long-distance range.

[0067] In step S601 of some embodiments, the scene verification generated in the preceding steps is responded to by a signal. Once the system confirms that the current scene is a real and valid user operation state, such as visually confirming that the user is making a hand gesture towards the earphone charging case within a preset spatial range, it immediately accesses the configuration database in the storage unit and retrieves the preset far-field gain configuration parameters. The far-field gain configuration parameters are hardware settings specifically designed for mid-to-long-distance interaction scenarios, including the enhancement level of infrared transmission power, the gain coefficient of the receiver amplifier circuit, and the cutoff frequency of the signal filter, thereby preparing for the upcoming contactless interaction.

[0068] In step S602 of some embodiments, the read far-field gain configuration parameters are written into the register of the non-contact sensing unit or the analog front-end circuit, significantly improving the sensor's signal reception sensitivity and entering an enhanced reception mode. In this enhanced reception mode, the non-contact sensing unit is no longer limited to detecting objects close to the surface, but is configured to effectively acquire weak reflected signals within a preset long-distance range, such as 15 to 30 centimeters from the charging case surface. By lowering the signal-to-noise ratio decision threshold or increasing the amplification factor, it can be ensured that even at greater distances, the user's gestures generate sufficiently strong feedback signal data.

[0069] Through steps S601 to S602, this dynamic gain adjustment mechanism cleverly solves the problem of limited detection range in traditional near-field sensors. In normal standby or anti-mistouch mode, the device maintains low sensitivity to save power and prevent false alarms. Upon confirming a user interaction scenario, it automatically switches to a high-sensitivity enhanced reception mode, allowing users to smoothly control the device via air gestures even when their hands are limited, such as during meals or cooking. This on-demand allocation of hardware performance ensures a smooth user experience while also considering the device's energy efficiency and anti-interference capabilities.

[0070] Please see Figure 7 In some embodiments, the earphone charging case also includes a status monitoring sensor group, and the embodiments of this application may include, but are not limited to, steps S701 to S703: Step S701: Obtain the three-axis acceleration data and environmental distance data of the earphone charging case through the state monitoring sensor group; Step S702: Perform attitude classification analysis on the acceleration data and environmental distance data to obtain the spatial position status result of the earphone charging case; In step S703, in response to the spatial position status result indicating that the earphone charging case is in a confined storage space, the generated multimedia control command is invalidated.

[0071] In step S701 of some embodiments, data from a state monitoring sensor group integrated inside the earphone charging case can be acquired periodically. This state monitoring sensor group typically includes a triaxial accelerometer, a proximity sensor, or an ambient light sensor. The triaxial accelerometer outputs real-time gravity components and motion acceleration values ​​along the three orthogonal axes (X, Y, and Z) to characterize the device's tilt angle, stationary state, or degree of motion. The proximity sensor or ambient light sensor simultaneously acquires physical distance or light intensity values ​​between the earphone charging case surface and external obstructions, thereby generating environmental distance data reflecting the current compactness of the earphone charging case's surroundings.

[0072] In step S702 of some embodiments, the control logic performs data fusion operations and attitude calculations on the collected multi-source sensor data. It jointly analyzes the temporal fluctuation characteristics of the acceleration data and the threshold characteristics of the environmental distance data. Through a preset decision tree or state machine algorithm, the current physical situation can be categorized, thereby outputting a clear spatial location state result for the earphone charging case. This spatial location state result can distinguish whether the earphone charging case is in an open interactive environment, such as lying flat on a table or being held in hand, or stored in a confined space, such as in a clothing pocket, backpack compartment, or drawer.

[0073] For example, by acquiring three-axis acceleration data that shows a walking rhythm, complete stillness, or disordered shaking, and by acquiring ambient distance data such as continuous close-range obstruction or complete darkness, it can be determined that the earphone charging case is currently in a storage space and the user is currently moving.

[0074] In step S703 of some embodiments, when the determination result indicates that the earphone charging case is currently in a confined storage space, the anti-accidental touch shielding mechanism can be automatically triggered. At this time, even if the non-contact sensing unit generates a signal resembling a gesture due to clothing friction, static interference, or other accidental triggers, or has already calculated and generated a corresponding multimedia control command, the control logic will forcibly mark the multimedia control command as invalid data or discard it directly in the transmission queue, thereby prohibiting the multimedia control command from being transmitted externally through the wireless communication unit.

[0075] Through steps S701 to S703, a proactive anti-accidental touch barrier is constructed using a multi-sensor fusion state perception mechanism. This design effectively addresses the pain point of portable smart devices easily causing erroneous actions due to environmental interference or physical compression when not in use, such as when carried in person. By intelligently recognizing confined spaces like pockets or backpacks and automatically blocking the control link, the device's reliability in complex mobile environments is greatly improved while maintaining interactive sensitivity in normal use scenarios, avoiding unexpected power consumption or interference caused by accidental operation.

[0076] This application embodiment acquires application running status signals from an external mobile terminal via a wireless communication unit. Responding to the application running status signal indicating that a preset category of application is running on the external mobile terminal, a non-contact sensing unit transmits a detection medium into a preset spatial range and receives the returned feedback signal data. The feedback signal data undergoes time-domain feature extraction and waveform analysis to obtain corresponding spatial feature actions. Based on the spatial feature actions and a preset control logic mapping relationship, corresponding multimedia control commands are generated. These multimedia control commands are then sent to the external mobile terminal via the wireless communication unit to control the application to execute corresponding multimedia control operations. Therefore, by configuring a non-contact sensing unit, this application transforms the earphone charging case from a passive energy container into a device capable of sensing that a specific application, such as video software, is running on an external device. It then actively activates the sensing unit to transmit a detection medium into a preset space and analyzes the received feedback signals to generate corresponding multimedia control commands to control the application. This endows the earphone charging case with independent data processing and command decision-making capabilities, making it a smart interactive terminal capable of controlling multimedia applications remotely, significantly enhancing the user's interactive experience.

[0077] Please see Figure 8 This application also provides an earphone charging case interaction device that can implement the above-described earphone charging case interaction method. The device includes: The status detection module is used to acquire application running status signals from external mobile terminals through the wireless communication module; The space detection module is used to respond to the application running status signal indicating that a preset type of application is running on an external mobile terminal. It transmits a detection medium to a preset space range through a non-contact sensing module and receives the returned feedback signal data. The feedback signal analysis module is used to extract time-domain features and perform waveform analysis on the feedback signal data to obtain the corresponding spatial feature actions. The control command generation module is used to generate corresponding multimedia control commands based on the spatial feature actions and the preset control logic mapping relationship; The interactive control module is used to send multimedia control commands to an external mobile terminal via the wireless communication module, so as to control the application to perform corresponding multimedia control operations.

[0078] The specific implementation of the earphone charging case interaction device is basically the same as the specific implementation of the earphone charging case interaction method described above, and will not be repeated here.

[0079] This application also provides an electronic device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the above-described earphone charging case interaction method. This electronic device can be any smart terminal, including tablet computers, in-vehicle computers, etc.

[0080] Please see Figure 9 , Figure 9 The hardware structure of an electronic device according to another embodiment is illustrated. The electronic device includes: The processor 901 can be implemented using a general-purpose CPU (Central Processing Unit), microprocessor, application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of this application. The memory 902 can be implemented as a read-only memory (ROM), static storage device, dynamic storage device, or random access memory (RAM). The memory 902 can store the operating system and other applications. When the technical solutions provided in the embodiments of this specification are implemented through software or firmware, the relevant program code is stored in the memory 902 and called by the processor 901 to execute the earphone charging case interaction method of the embodiments of this application. The input / output interface 903 is used to implement information input and output; The communication interface 904 is used to enable communication and interaction between this device and other devices. Communication can be achieved through wired means (such as USB, Ethernet cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.). Bus 905 transmits information between various components of the device (e.g., processor 901, memory 902, input / output interface 903, and communication interface 904); The processor 901, memory 902, input / output interface 903, and communication interface 904 are connected to each other within the device via bus 905.

[0081] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described headphone charging case interaction method.

[0082] Memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs and non-transitory computer-executable programs. Furthermore, memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory may optionally include memory remotely located relative to the processor, and these remote memories can be connected to the processor via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0083] The earphone charging case interaction method, device, electronic device, and storage medium provided in this application embodiment acquire application running status signals from an external mobile terminal through a wireless communication unit. Responding to the application running status signal indicating that a preset category of application is running on the external mobile terminal, a non-contact sensing unit emits a detection medium into a preset spatial range and receives the returned feedback signal data. The feedback signal data undergoes time-domain feature extraction and waveform analysis to obtain corresponding spatial feature actions. Based on the spatial feature actions and a preset control logic mapping relationship, corresponding multimedia control commands are generated. These multimedia control commands are then sent to the external mobile terminal via the wireless communication unit to control the application to execute corresponding multimedia control operations. Therefore, by configuring a non-contact sensing unit, this application transforms the earphone charging case from a passive energy container into a device capable of sensing that an external device is running a specific application, such as video software. It then actively activates the sensing unit to emit a detection medium into a preset space and analyzes the received feedback signals to generate corresponding multimedia control commands to control the application. This endows the earphone charging case with independent data processing and command decision-making capabilities, making it a smart interactive terminal capable of controlling multimedia applications remotely, significantly enhancing the user's interactive experience.

[0084] The embodiments described in this application are for the purpose of more clearly illustrating the technical solutions of the embodiments of this application, and do not constitute a limitation on the technical solutions provided by the embodiments of this application. As those skilled in the art will know, with the evolution of technology and the emergence of new application scenarios, the technical solutions provided by the embodiments of this application are also applicable to similar technical problems.

[0085] Those skilled in the art will understand that the technical solutions shown in the figures do not constitute a limitation on the embodiments of this application, and may include more or fewer steps than shown, or combine certain steps, or different steps.

[0086] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0087] Those skilled in the art will understand that all or some of the steps in the methods disclosed above, as well as the functional modules / units in the systems and devices, can be implemented as software, firmware, hardware, or suitable combinations thereof.

[0088] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in the specification and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms “comprising” and “having,” and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0089] It should be understood that in this application, "at least one (item)" means one or more, and "more than" means two or more. "And / or" is used to describe the relationship between related objects, indicating that three relationships can exist. For example, "A and / or B" can represent three cases: only A exists, only B exists, and both A and B exist simultaneously, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one (item) of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one (item) of a, b, or c can represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.

[0090] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of the units described above is only a logical functional division, and 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. The coupling or direct coupling or communication connection between the shown or discussed units may be through some interfaces, or indirect coupling or communication connection between the apparatus or units, and may be electrical, mechanical, or other forms.

[0091] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0092] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0093] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes multiple instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing programs, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0094] The preferred embodiments of the present application have been described above with reference to the accompanying drawings, but this does not limit the scope of the claims of the present application. Any modifications, equivalent substitutions, and improvements made by those skilled in the art without departing from the scope and substance of the embodiments of the present application shall be within the scope of the claims of the present application.

Claims

1. A method for interacting with an earphone charging case, characterized in that, Applied to an earphone charging case, the earphone charging case including a wireless communication unit and a non-contact sensing unit, the method includes: The application running status signal from the external mobile terminal is obtained through the wireless communication unit; In response to the application running status signal indicating that a preset category of application is running on the external mobile terminal, the non-contact sensing unit emits a detection medium into a preset spatial range and receives the returned feedback signal data. The feedback signal data is subjected to time-domain feature extraction and waveform analysis to obtain the corresponding spatial feature actions; Based on the spatial feature actions and the preset control logic mapping relationship, corresponding multimedia control commands are generated; The multimedia control command is sent to the external mobile terminal via the wireless communication unit to control the application to perform the corresponding multimedia control operation.

2. The method according to claim 1, characterized in that, The step of performing time-domain feature extraction and waveform analysis on the feedback signal data to obtain the corresponding spatial feature actions includes: Obtain the duty cycle of the waveform coverage time in the total sampling period and the duration of the signal in the feedback signal data; The duty cycle is compared with multiple preset object shape thresholds to obtain the operation body classification result. In response to the operation body classification result indicating a low duty cycle and the duration being less than a preset coverage time threshold, the spatial feature action is determined to be a single-finger operation; In response to the operation body classification result indicating a high duty cycle and the duration exceeding a preset coverage time threshold, the spatial feature action is determined to be a multi-finger operation.

3. The method according to claim 1, characterized in that, The step of performing time-domain feature extraction and waveform analysis on the feedback signal data to obtain the corresponding spatial feature actions includes: Obtain the slope of the signal strength change over time in the feedback signal data; The absolute value of the slope of change is compared with a preset motion speed threshold to obtain the motion dynamic feature result. In response to the dynamic feature result indicating a change slope greater than the action speed threshold, the spatial feature action is determined to be a quick switching gesture; In response to the dynamic feature result indicating that the slope of change is less than the action speed threshold and remains non-zero, the spatial feature action is determined to be a continuous adjustment gesture.

4. The method according to claim 1, characterized in that, The step of performing time-domain feature extraction and waveform analysis on the feedback signal data to obtain the corresponding spatial feature actions includes: Extract the trend of signal strength variation in the feedback signal data; In response to the change trend indicator signal strength changing from weak to strong, the spatial characteristic action is determined to be a pressing down or approaching action; In response to the change in the strength of the trend indicator signal decreasing from strong to weak, the spatial characteristic action is determined to be a lifting or moving away action.

5. The method according to claim 1, characterized in that, The earphone charging case also includes a visual acquisition unit; The response to the application running status signal indicating that a preset category of application is running on the external mobile terminal, the method of transmitting a detection medium to a preset spatial range through the non-contact sensing unit and receiving the returned feedback signal data, further includes: The vision acquisition unit is controlled to acquire environmental image data in front of the charging compartment; Based on the environmental image data, image content recognition and screen feature matching are performed to obtain the visual confirmation result of the current scene; Based on the visual confirmation result, a matching verification is performed with the preset user operation characteristics to obtain a scene verification pass signal; In response to the scene verification pass signal, the non-contact sensing unit transmits a detection medium to a preset spatial range and receives the returned feedback signal data.

6. The method according to claim 5, characterized in that, The method further includes: In response to the scenario verification pass signal, the preset far-field gain configuration parameters are invoked; The signal receiving sensitivity of the non-contact sensing unit is adjusted using the far-field gain configuration parameters to obtain an enhanced receiving mode suitable for non-contact operation scenarios; wherein, the enhanced receiving mode is configured to collect the feedback signal data generated within a preset long-distance range.

7. The method according to any one of claims 1 to 6, characterized in that, The earphone charging case also includes a status monitoring sensor group, and the method further includes: The three-axis acceleration data and environmental distance data of the earphone charging case are obtained through the state monitoring sensor group; The spatial position of the earphone charging case is obtained by performing attitude classification analysis on the acceleration data and the environmental distance data. In response to the spatial position status result indicating that the earphone charging case is in a confined storage space, the generated multimedia control command is invalidated.

8. An interactive device for an earphone charging case, characterized in that, The device includes: The status detection module is used to acquire application running status signals from an external mobile terminal through the wireless communication module; A spatial detection module is used to respond to the application running status signal indicating that a preset category of application is running on the external mobile terminal, and to transmit a detection medium to a preset spatial range through the non-contact sensing module and receive the returned feedback signal data. The feedback signal analysis module is used to perform time-domain feature extraction and waveform analysis on the feedback signal data to obtain the corresponding spatial feature actions. The control instruction generation module is used to generate corresponding multimedia control instructions based on the spatial feature actions and the preset control logic mapping relationship; An interactive control module is used to send the multimedia control commands to the external mobile terminal through the wireless communication module, so as to control the application to perform corresponding multimedia control operations.

9. An electronic device, characterized in that, The electronic device includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the earphone charging case interaction method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the earphone charging case interaction method according to any one of claims 1 to 7.

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