Earphone control method, earphone and computer readable storage medium

Abstract

The invention discloses an earphone control method, an earphone and a computer readable storage medium, and relates to the technical field of earphones, and the method comprises the steps: determining a target scene where the earphone is located, and obtaining a first function corresponding to the target scene based on a preset mapping relation, the preset mapping relation is a mapping relation between different scenes where the earphone is located and the expansion function needing to be started; the earphone is controlled to start a first function and to close a second function, and the second function comprises at least one extended function different from the first function. According to the invention, intelligent dynamic power consumption control is realized, and the cruising ability of the earphone is improved.

Description

Technical Field

[0001] The present application relates to the field of earphone technology, and in particular to an earphone control method, an earphone, and a computer-readable storage medium. Background Art

[0002] With the continuous advancement of technology, headphones have gradually become an indispensable part of people's lives. Traditional headphones mainly focus on high-quality audio transmission and playback, such as improving sound fidelity and noise reduction. However, as consumers' demand for convenience, versatility, and intelligent experiences continues to grow, headphones are moving towards integrating more and more extended functions.

[0003] In recent years, headphones have gradually integrated extended functions such as video recording, audio recording, health monitoring, and wireless data transmission. However, the high degree of functional integration makes headphones face the problem of high power consumption when performing multiple tasks in parallel, which seriously affects the battery life of headphones. For example, for headphones with integrated camera functions, the high energy consumption characteristics of the camera function (such as real-time image processing and data transmission) are in direct conflict with the battery life requirements of headphones as mobile devices. If the camera function is operated continuously with a crude control strategy, the usage time of the headphones will be greatly shortened, resulting in the headphones being unable to be used for long periods of time.

[0004] To improve the battery life of headphones, a global power consumption control approach can be adopted, such as uniformly reducing processor frequency or limiting the power supply intensity of wireless communication modules. While such solutions can extend battery life, their drawback lies in the extensive power consumption control of functional modules. Regardless of whether the user is currently using a specific function, the same power consumption control strategy is applied to all functional modules, lacking the ability to intelligently and dynamically adjust the power consumption of functional modules.

[0005] How to achieve intelligent dynamic power consumption control and improve the battery life of headphones is a technical problem that needs to be solved urgently in this technical field.

[0006] The above content is only used to assist in understanding the technical solution of the present invention and does not constitute an admission that the above content is prior art. Summary of the Invention

[0007] The main purpose of this application is to provide a headset control method, headset and computer-readable storage medium, aiming to solve the technical problem of how to achieve intelligent dynamic power consumption control and improve the battery life of the headset.

[0008] To achieve the above-mentioned object, the present application provides a method for controlling an earphone, which is applied to an earphone and includes the following steps:

[0009] Determining a target scene in which the headset is located, and obtaining a first function corresponding to the target scene based on a preset mapping relationship, wherein the preset mapping relationship is a mapping relationship between different scenes in which the headset is located and extended functions that need to be enabled;

[0010] The headset is controlled to enable the first function, and the headset is controlled to disable a second function, wherein the second function includes at least one extended function different from the first function.

[0011] In one embodiment, the step of determining the target scene in which the headset is located includes:

[0012] In response to a scene selection instruction, obtaining a selected scene according to the scene selection instruction, and determining the selected scene as a target scene for the headset; or

[0013] Environmental information is collected and input into a pre-trained scene recognition model to obtain a target scene in which the headset is located, wherein the environmental information includes light intensity values and / or air pressure values.

[0014] In one embodiment, the step of inputting the environmental information into a pre-trained scene recognition model to obtain the target scene in which the headset is located includes:

[0015] Inputting the environmental information into a pre-trained scene recognition model and outputting a scene recognition result;

[0016] Acquire all candidate scenes related to the scene recognition result, and output selection information for all the candidate scenes;

[0017] When a selection result fed back for the selection information is received, the candidate scene selected in the selection result is determined to be the target scene where the headset is located.

[0018] In one embodiment, before the step of determining the target scene in which the headset is located, the method further includes:

[0019] If the headset has a camera function, then executing the step of determining the target scene where the headset is located; or,

[0020] If the headset is in a dormant state, when a multi-scene static perception wake-up operation is detected, the headset is awakened to enter an active state, and the step of determining the target scene in which the headset is located is performed.

[0021] In one embodiment, the step of waking up the headset to enter an active state when a multi-scenario static perception wake-up operation is detected includes:

[0022] Collecting ambient speech, and performing speech recognition on the ambient speech to obtain a text recognition result;

[0023] If the text recognition result includes a preset wake-up prompt word, it is determined that a multi-scene static perception wake-up operation is detected, and the headset is woken up to enter an activated state.

[0024] In one embodiment, after the steps of controlling the headset to enable the first function and controlling the headset to disable the second function, the method further includes:

[0025] If it is detected that the headset meets a preset sleep condition, the headset is controlled to enter a sleep state;

[0026] The preset sleep condition includes that no operation on the headset is detected within a preset time period, and / or an operation indicating that the headset enters a sleep state is detected.

[0027] In one embodiment, the headset includes a first control unit and a second control unit, the first control unit is connected to the speaker, and the second control unit is connected to the camera module. After the steps of controlling the headset to enable the first function and controlling the headset to disable the second function, the method further includes:

[0028] If the first function turned on includes audio playback and video recording, the audio to be output is obtained by the first control unit and outputted through the speaker, and the image data captured by the camera module is obtained and stored by the second control unit.

[0029] In one embodiment, the preset mapping relationship includes at least one of the following:

[0030] If the headset is in an outdoor sports scene, Bluetooth and sports health monitoring are turned on;

[0031] If the headset is in an outdoor shooting scene, start the camera;

[0032] If the headset is in an outdoor live broadcast scene, turn on the camera, recording and WIFI;

[0033] If the headset is in an office setting, Bluetooth and static health monitoring are enabled;

[0034] If the headset is in a conference scene, recording is started.

[0035] In addition, to achieve the above-mentioned purpose, the present application also provides an earphone, which includes: a memory, a processor, and an earphone control program stored in the memory and runnable on the processor. When the earphone control program is executed by the processor, the steps of the earphone control method described above are implemented.

[0036] In addition, to achieve the above-mentioned purpose, the present application also provides a readable storage medium, which is a computer-readable storage medium. The computer-readable storage medium stores a program for implementing the method for controlling headphones. The program for implementing the method for controlling headphones is executed by a processor to implement the steps of the method for controlling headphones as described above.

[0037] The present application also provides a computer program product, including a computer program, which implements the steps of the above-mentioned headset control method when executed by a processor.

[0038] One or more technical solutions proposed in this application have at least the following technical effects:

[0039] This application determines the target scene in which the headset is located, obtains a first function corresponding to the target scene based on a preset mapping relationship, wherein the preset mapping relationship is a mapping relationship between different scenes in which the headset is located and the extended functions that need to be enabled; controls the headset to enable the first function, and controls the headset to disable a second function, wherein the second function includes at least one extended function different from the first function. In this way, after determining the target scene in which the headset is located, the embodiment of the present application obtains the first function that the headset needs to enable based on the target scene mapping, controls the headset to enable the first function, and simultaneously disables the second function that is different from the first function. By establishing a mapping relationship between different scenes in which the headset is located and the functions that need to be enabled, a dynamic power consumption control method for intelligently turning on and off corresponding functional modules in the headset based on scene adaptation is designed, thereby achieving intelligent dynamic power consumption control and improving the battery life of the headset. Moreover, by setting the mapping relationship, the headset can be controlled to only enable the first function required in each scene and directly disable other non-essential second functions, so that the headset always maintains a relatively low power consumption state in each scene, further improving the battery life of the headset. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0041] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0042] Figure 1 This is a flowchart of the first embodiment of the headphone control method of the present application;

[0043] Figure 2 This is a schematic diagram of the scene recognition model structure involved in an embodiment of the headphone control method of the present application;

[0044] Figure 3 This is a schematic diagram of the structure of an AI smart headset involved in an embodiment of the headset control method of this application;

[0045] Figure 4 This is a schematic diagram of a control flow of an earphone according to an embodiment of an earphone control method of the present application;

[0046] Figure 5 This is a schematic diagram of the device structure of the hardware operating environment involved in the headset control device in the embodiment of the present application.

[0047] The purpose, features and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0048] To make the above-mentioned objects, features, and advantages of the present invention more clearly understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0049] Traditional headphones have long been dedicated to improving audio transmission quality and playback performance, and have developed mature technology systems in areas such as sound fidelity, noise reduction technology, and sound field restoration. However, with the explosive growth in demand for intelligent wearable devices, audio functionality alone can no longer meet users' expectations for scenario-based interactive experiences. In recent years, devices such as smartwatches and smart glasses have attempted to expand their functional boundaries by integrating cameras, but their limitations are significant: smartwatches are limited by screen size and wearing position, making framing and control inconvenient, while smart glasses sacrifice wearing comfort and audio performance due to their structural design, making it difficult to achieve a balance between camera functionality and core user experience.

[0050] As a wearable device that fits tightly against the user's head, headphones have natural advantages in perspective capture and portability. Their wearing form is naturally adapted to first-person perspective shooting, and they can synchronize with the user's line of sight without additional operation, providing a unique entry point for image / video acquisition. However, the internal space of headphones is extremely compact, and the integration of high-performance camera modules, image processing units and batteries faces severe challenges. More importantly, the high energy consumption characteristics of the camera function (such as real-time image processing and data transmission) are in direct conflict with the battery life requirements of headphones as mobile devices. If a crude control strategy of continuous operation is adopted, the camera function will significantly shorten the usage time of the headphones, seriously damaging the user experience.

[0051] Most smart headsets use a global power management strategy (such as uniformly reducing screen brightness or limiting processor frequency), but such solutions lack targeted adaptation to user scenarios. For example, in outdoor shooting scenarios, users may need to prioritize enabling the camera and local storage functions without keeping Bluetooth audio playback or health monitoring modules running in real time; in conference scenarios, only the recording function needs to be retained, but existing systems often enable redundant modules (such as Wi-Fi and dynamic heart rate monitoring) by default, resulting in unnecessary power consumption. In addition, the cumbersome operation of users manually switching function switches further reduces the energy efficiency optimization effect in actual use.

[0052] Based on this, the main solution of this application is: determine the target scene in which the headset is located, and obtain the first function corresponding to the target scene based on a preset mapping relationship, wherein the preset mapping relationship is the mapping relationship between the different scenes in which the headset is located and the extended functions that need to be turned on; control the headset to turn on the first function, and control the headset to turn off the second function, wherein the second function includes at least one extended function different from the first function.

[0053] This application determines the target scenario in which the headset is located, maps the target scenario to the headset, obtains the first function that the headset needs to enable, controls the headset to enable the first function, and simultaneously disables a second function different from the first function. By establishing a mapping relationship between different scenarios in which the headset is located and the functions that need to be enabled, a dynamic power consumption control method for intelligently turning on and off corresponding functional modules in the headset based on scenario adaptation is designed, thereby achieving intelligent dynamic power consumption control and improving the battery life of the headset. Furthermore, by setting the mapping relationship, the headset can be controlled to only enable the first function required in each scenario and directly disable other non-essential second functions, so that the headset always maintains a relatively low power consumption state in each scenario, further improving the battery life of the headset.

[0054] It should be noted that the execution subject of each embodiment of the control method of the headset of the present application can be a headset with data processing and program running functions, such as a Bluetooth headset, OWS (Open Wearable Stereo, open wearable stereo system), TWS (True Wireless Stereo, true wireless stereo) headset, AI (Artificial Intelligence) smart headset, etc. The various embodiments of the control method of the headset of the present application do not make specific restrictions on this. For example, the various embodiments of the control method of the headset of the present application are explained with AI smart headset as the execution subject.

[0055] Based on this, this application proposes a method for controlling headphones according to the first embodiment. Figure 1 The earphone control method includes steps S10 to S20:

[0056] Step S10, determining the target scene in which the headset is located, and obtaining a first function corresponding to the target scene based on a preset mapping relationship, wherein the preset mapping relationship is a mapping relationship between different scenes in which the headset is located and extended functions that need to be enabled;

[0057] AI smart headphones refer to headphones that integrate artificial intelligence technology. They can provide more intelligent services through voice recognition, natural language processing, machine learning and other means.

[0058] Target scenarios refer to the different environments or usage scenarios in which headphones are used. Scenarios can be pre-classified based on users' common usage habits and needs. For example, specific scenario types may include, but are not limited to, one or more of outdoor sports scenarios, outdoor live broadcast scenarios, outdoor filming scenarios, office scenarios, meeting scenarios, leisure and entertainment scenarios, and learning and education scenarios. Among them, outdoor sports scenarios refer to scenarios where users are running, cycling, hiking, and other sports outdoors; outdoor live broadcast scenarios refer to scenarios where users are broadcasting activities outdoors and need real-time audio and video transmission; outdoor filming scenarios refer to scenarios where users are taking photos or recording videos outdoors and need headphones to assist in operation or record sound; office scenarios refer to scenarios where users use headphones in an office or home office environment; meeting scenarios refer to scenarios where users participate in online or offline meetings; leisure and entertainment scenarios refer to scenarios where users watch movies, listen to music, play games, and engage in other entertainment activities at home or when out and about; and learning and education scenarios refer to scenarios where users engage in education-related activities such as learning a language, attending lectures, and taking online courses.

[0059] It should be noted that the scene in which the AI smart headset is located can be determined in the following ways:

[0060] 1. User settings: Users can set the current scene of the AI smart headset by pressing or tapping the AI smart headset, using voice commands, or performing gestures. For example, if the user sets the scene of the AI smart headset to meeting while in a meeting, the AI smart headset is determined to be in a meeting scene. For another example, if the user sets the scene of the AI smart headset to outdoor sports while exercising outdoors, the AI smart headset is determined to be in an outdoor sports scene.

[0061] 2. Automatic determination: The target scene of the AI smart headset can be determined through multiple built-in sensors. For example, the motion state of the AI smart headset is detected by an accelerometer or a gyroscope. If the AI smart headset is in a continuous motion state and the motion trajectory conforms to the mode of running or cycling, the AI smart headset is determined to be in an outdoor sports scene. Another example is the ambient light sensor that detects the light intensity value of the surrounding environment. If the light intensity value is high and the microphone detects background noise (such as street sounds), the AI smart headset is determined to be in an outdoor live broadcast scene. Another example is the microphone that detects ambient voice. If a clear human voice is detected, the AI smart headset is determined to be in a meeting scene.

[0062] 3. Combining automatic determination with user selection, the AI smart headset can first use the various sensors built into the AI smart headset to preliminarily determine the scene the AI smart headset may be in. The user can then select from all possible scenes, with the scene ultimately selected by the user serving as the target scene for the AI smart headset. For example, if the data collected by the ambient light sensor and the air pressure sensor detects that the AI smart headset is in an outdoor sports scene, an outdoor photography scene, or an outdoor live broadcast scene, the user can be prompted by voice to select from these three scenes. If the user ultimately selects the outdoor sports scene, the AI smart headset is determined to be in an outdoor sports scene.

[0063] After determining the target scene of the AI smart headset, the first function corresponding to the target scene is obtained based on a preset mapping relationship, where the preset mapping relationship is a mapping relationship between the scene and the extended function to be enabled. Similarly, the mapping relationship can be pre-set according to actual needs. For example, in a specific embodiment, the preset mapping relationship can be the mapping relationship shown in Table 1 below.

[0064]

[0065] Table 1

[0066] Among them, extended functions refer to functions in AI smart headphones that can be turned on and off. Specifically, they can be additional functional modules and related services that can be independently controlled to start and stop in addition to basic audio functions (such as calls) in AI smart headphones, including but not limited to one or more functions of video recording, recording, Bluetooth, WIFI, sports health monitoring, and static health monitoring.

[0067] Step S20: Control the headset to enable the first function, and control the headset to disable a second function, wherein the second function includes at least one extended function different from the first function.

[0068] After obtaining the first function, the headset is controlled to enable the first function and simultaneously control the headset to disable the second function, where the second function includes at least one extended function different from the first function, that is, the second function is one or more extended functions other than the first function. Preferably, in order to minimize the power consumption of the AI smart headset and improve the battery life of the AI smart headset, the second function is all extended functions other than the first function.

[0069] This embodiment determines the target scene in which the headset is located and obtains a first function corresponding to the target scene based on a preset mapping relationship, wherein the preset mapping relationship is a mapping relationship between different scenes in which the headset is located and the extended functions that need to be enabled; then controls the headset to enable the first function and controls the headset to disable a second function, wherein the second function includes at least one extended function different from the first function. Thus, after determining the target scene in which the headset is located, this embodiment obtains the first function that the headset needs to enable based on the target scene mapping, controls the headset to enable the first function, and simultaneously disables the second function that is different from the first function. By establishing a mapping relationship between different scenes in which the headset is located and the functions that need to be enabled, a dynamic power consumption control method for intelligently enabling and disabling corresponding functional modules in the headset based on scene adaptation is designed, thereby achieving intelligent dynamic power consumption control and improving the battery life of the headset. Furthermore, by setting the mapping relationship, the headset can be controlled to enable only the necessary first function in each scene and directly disable other non-essential second functions, so that the headset always maintains a relatively low power consumption state in each scene, further improving the battery life of the headset.

[0070] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can be referred to the above introduction and will not be repeated hereafter. On this basis, as one of the implementation methods, the step of determining the target scene in which the headset is located includes:

[0071] Step A10 , in response to a scene selection instruction, obtaining a selected scene according to the scene selection instruction, and determining that the selected scene is a target scene where the headset is located.

[0072] It should be noted that the user can input scene selection instructions through a preset method. For example, the preset method can be pressing the AI smart headset shell (such as pressing once for scene A, pressing twice in a row for scene B, etc.), tapping the AI smart headset shell (such as tapping once in a row for scene A, tapping twice in a row for scene B, etc.), voice instructions, gestures, etc. This embodiment does not impose specific restrictions on this.

[0073] When the AI smart headset receives a scene selection instruction input by the user, it responds to the scene selection instruction, obtains the scene selected by the user, and determines the scene selected by the user as the target scene of the AI smart headset.

[0074] By responding to scene selection commands to determine the target scene for the AI smart headset, users can actively specify the current scene by inputting commands. For example, in a meeting scenario, a user can directly use the voice command "enter meeting mode" to ensure that subsequent function activation and deactivation methods are in line with the user's true intention.

[0075] As another implementation, the step of determining the target scene in which the headset is located includes:

[0076] Step B10: Collect environmental information and input the environmental information into a pre-trained scene recognition model to obtain the target scene where the headset is located, wherein the environmental information includes light intensity value and / or air pressure value.

[0077] The environmental information refers to information related to the external environment, including but not limited to light intensity values and / or air pressure values. Specifically, the AI smart headset can be integrated with sensors that collect environmental information. For example, the AI smart headset can be integrated with an ambient light sensor and / or an air pressure sensor, wherein the ambient light sensor is used to collect light intensity values in the external environment, and the air pressure sensor is used to collect air pressure values in the external environment.

[0078] The scene recognition model is any model used for scene classification, such as a multi-layer perceptron model, and this embodiment does not impose any specific restrictions on this. Figure 3 As shown, the scene recognition model is a multi-layer perceptron model, which specifically includes an input layer, a hidden layer, and an output layer connected in sequence. The environmental information is represented as [x1, x2, ..., xn], where each element value represents a type of environmental information, such as the light intensity value x1, the air pressure value x2, etc. The environmental information [x1, x2, ..., xn] and the preset bias b are input to the input layer of the multi-layer perceptron model. The hidden layer processes the input data through the function u = ∑ (wixi + b), where wi is the weight coefficient, and the output layer processes the input through the function Prediction output, where 1 indicates that the scene recognition result is an outdoor scene, and -1 indicates that the scene recognition result is an indoor scene.

[0079] After the environmental information is input into a pre-trained scene recognition model, the scene recognition model outputs a scene recognition result. After obtaining the scene recognition result, the scene recognition result can be determined as the target scene where the AI smart headset is located. Alternatively, all candidate scenes related to the scene recognition result can be obtained, and the user can be allowed to select from these candidate scenes to determine that the candidate scene finally selected by the user is the target scene where the AI smart headset is located. That is, in one possible implementation, the step of inputting the environmental information into the pre-trained scene recognition model to obtain the target scene where the headset is located includes:

[0080] Step B101: input the environmental information into a pre-trained scene recognition model, and output a scene recognition result;

[0081] Step B102: Acquire all candidate scenes related to the scene recognition result, and output selection information for all the candidate scenes;

[0082] The candidate scene is a scene related to the scene recognition result. Candidate scenes related to different scene recognition results can be pre-set so that after the scene recognition result is obtained, all candidate scenes related to the scene recognition result can be obtained. For example, when the scene recognition result is an outdoor scene, the related candidate scenes are outdoor live broadcast scenes, outdoor sports scenes and outdoor shooting scenes; when the scene recognition result is an indoor scene, the related candidate scenes are office scenes and meeting scenes.

[0083] After all candidate scenes are acquired, selection information for all candidate scenes is output to inform the user of the current candidate scenes and allow the user to select from these candidate scenes. Specifically, the selection information can be output by voice (such as "An outdoor scene is detected, please select: outdoor sports scene, outdoor shooting scene, or outdoor live broadcast scene"), or the selection information can be output in the form of a pop-up window on a mobile terminal connected to the AI smart headset. This embodiment does not impose specific restrictions on this.

[0084] Step B103: When a selection result fed back for the selection information is received, determine that the candidate scene selected in the selection result is the target scene where the headset is located.

[0085] After receiving the selection result fed back by the user for this selection information, it is determined that the candidate scene selected by the user is the target scene in which the AI smart headset is located.

[0086] Through a two-layer scene recognition mechanism of environmental perception and user collaborative decision-making, algorithm decision-making is combined with user selection. On the one hand, it can reduce the phenomenon of scene misidentification caused by reliance on single environmental information due to insufficient data dimensions (for example, indoor strong light environment is misidentified as outdoor scene). On the other hand, the method of outputting selection information for users to choose candidate scenes makes it possible to output prompt information in the form of voice prompts or mobile pop-ups, so that users can confirm the target scene with one click. Compared with the full manual mode, it can reduce user operations (such as only confirmation instead of selecting from the beginning) while retaining the correction ability of scene recognition results.

[0087] Based on the first and / or second embodiments of the present application, in the third embodiment of the present application, the same or similar contents as those of the first and second embodiments can be referred to above and will not be described in detail. On this basis, as one embodiment, before the step of determining the target scene in which the headset is located, the method further includes:

[0088] Step C10: If the headset has a camera function, executing the step of determining the target scene where the headset is located.

[0089] It is understandable that AI smart headphones with camera functions cannot be used for long periods of time due to the high power consumption requirements of the camera function. Based on this, for AI smart headphones with camera functions, the target scene they are in is determined, and intelligent dynamic power consumption control is performed based on the target scene, thereby improving the battery life of AI smart headphones with camera functions.

[0090] As another embodiment, before the step of determining the target scene in which the headset is located, the method further includes:

[0091] Step C20: If the headset is in a dormant state, upon detecting a multi-scene static perception wake-up operation, the headset is awakened to enter an active state, and the step of determining the target scene in which the headset is located is executed.

[0092] The sleep state is a low-power mode in which most of the AI smart headset's functions are temporarily shut down or powered down to reduce battery consumption. The active state is when the AI smart headset is in normal operation, able to respond to user operations and perform various functions.

[0093] If the AI smart headset is in a dormant state, upon detecting a multi-scenario static perception wake-up operation, the headset is awakened to an active state and the target scene the headset is in is determined. The multi-scenario static perception wake-up operation refers to an operation that wakes up the AI smart headset and enters a multi-scenario static perception mode. The multi-scenario static perception mode is a mode that senses the scene in which the AI smart headset is located and then starts and stops the relevant functions of the AI smart headset based on the scene.

[0094] In a possible implementation, the step of waking up the headset to enter an active state when a multi-scenario static perception wake-up operation is detected includes:

[0095] Step D10: collecting ambient speech, performing speech recognition on the ambient speech to obtain a text recognition result;

[0096] The ambient voice can specifically be the audio data picked up by the microphone of the AI smart headset. Voice recognition is performed on the collected ambient voice to convert the voice into text to obtain a text recognition result.

[0097] In step D20, if the text recognition result includes a preset wake-up prompt word, it is determined that a multi-scene static perception wake-up operation is detected, and the headset is woken up to enter an activated state.

[0098] The preset wake-up prompt word can be a pre-set prompt word for waking up the AI smart headset to enter the multi-scene static perception mode, such as "Please perceive the scene you are in." When the preset wake-up prompt word is detected in the text recognition result, it is determined that the multi-scene static perception wake-up operation has been detected, allowing the user to wake up the AI smart headset to enter the multi-scene static perception mode through voice, improving user convenience.

[0099] In a possible implementation, after the steps of controlling the headset to enable the first function and controlling the headset to disable the second function, the method further includes:

[0100] Step E10: If it is detected that the headset meets a preset sleep condition, the headset is controlled to enter a sleep state;

[0101] The preset sleep condition includes that no operation on the headset is detected within a preset time period, and / or an operation indicating that the headset enters a sleep state is detected.

[0102] It should be noted that the preset sleep conditions include but are not limited to not detecting any operation on the headset within a preset period of time, and / or detecting an operation indicating that the headset enters a sleep state. Relevant personnel can also set other preset sleep conditions based on actual conditions, such as detecting that the AI smart headset is taken off, detecting that the AI smart headset is put back into the headset charging box, the AI smart headset is paused while playing audio and does not resume playback within a certain period of time, etc. This embodiment does not impose specific restrictions on this.

[0103] The operation of instructing the AI smart headset to enter the sleep state can be pre-set by relevant personnel, such as the user's manual operation (such as long pressing a button), the user's voice command, etc. This embodiment does not impose specific restrictions on this.

[0104] In this embodiment, after controlling the AI smart headset to adaptively start and stop corresponding functions, if it is detected that the AI smart headset meets the preset sleep conditions, the AI smart headset is controlled to enter the sleep state, thereby detecting in real time in the multi-scene static perception mode whether the mode of the AI smart headset has changed. If it changes, it enters the sleep state to further reduce the power consumption of the AI smart headset.

[0105] Based on the first embodiment, the second embodiment, and / or the third embodiment of the present application, in the fourth embodiment of the present application, the same or similar contents as those in the above-mentioned first embodiment, second embodiment, and third embodiment can be referred to the above introduction, and no further details will be given later. On this basis, the headset includes a first control unit and a second control unit, the first control unit is connected to the microphone, and the second control unit is connected to the camera module. After the steps of controlling the headset to turn on the first function and controlling the headset to turn off the second function, the method further includes:

[0106] Step F10: If the enabled first function includes audio playback and video recording, the first control unit acquires the audio to be output and outputs it through the speaker, and the second control unit acquires and stores image data captured by the camera module;

[0107] It should be noted that the first control unit and the second control unit can use two signals with frequency band isolation to communicate with the outside world independently, so that the first control unit and the second control unit can communicate with the outside world at the same time, thereby realizing the dual communication function of the AI smart headset, so that the AI smart headset can transmit two types of data at the same time. Among them, the two signals with frequency band isolation refer to two signals allocated in different frequency bands. For example, in a specific embodiment, the first control unit uses Bluetooth signals to communicate with the outside world, and the second control unit uses WIFI signals to communicate with the outside world.

[0108] The camera module (Camera Compact Module, CCM for short) refers to a component for capturing images, which may specifically include a lens, an image sensor, an image processor, etc.

[0109] The first control unit can use a first signal (such as Bluetooth) to obtain the audio to be output from the terminal device that is communicatively connected to the AI smart headset, and output it through the speaker of the AI smart headset. At the same time, the second control unit obtains the camera module and stores the image data captured by the camera module. Specifically, the image data captured by the camera target module can be stored locally, that is, the image data is stored in the AI smart headset.

[0110] In this embodiment, the audio to be output is obtained by the first control unit and output through the speaker, and the image data captured by the camera module is obtained and stored by the second control unit, so that the audio playback and image capture are controlled by different control units, thereby making the audio playback and image capture functions independent of each other and not affecting each other, thereby allowing the AI smart headset to take pictures while playing audio, that is, taking pictures will not affect the audio playback of the AI smart headset.

[0111] In addition, the image data captured by the camera module can be compressed and the compressed image data can be saved locally. At the same time, the image data before compression can be sent to the terminal device connected to the AI smart headset through a second signal (such as WIFI) to reduce the consumption of storage resources of the AI smart headset. At the same time, the original image data can be backed up so that the user can view the original image data on the terminal device, thereby improving the user experience. It should be noted that the first signal and the second signal are signals with two isolated frequency bands.

[0112] For example, in order to help understand the technical concept or technical principle of the control method for headphones after combining this embodiment with the first embodiment, the second embodiment and the third embodiment, a specific embodiment is now listed to provide an AI smart headset. Specifically, refer to Figure 3As shown, the AI smart headset includes an AI+Bluetooth chip (also known as the first control unit), a wireless Wi-Fi chip (also known as the second control unit), multiple sensors (such as ambient light sensor and air pressure sensor), speakers, microphones, memory, camera modules, RF antennas and power management systems. Among them, the AI+Bluetooth chip is the main controller, and the power management system is used to power the AI+Bluetooth chip and the Wi-Fi chip. The Wi-Fi chip and the main controller AI Bluetooth chip use serial communication and interrupt response to ensure real-time communication. The AI Bluetooth chip can send instructions to the Wi-Fi chip, and the Wi-Fi chip can send relevant data to the AI Bluetooth chip according to the instructions. It can also upload data to the cloud server through itself according to the instructions. The speaker and the main controller AI Bluetooth chip use AMP (Analog Signal Amplifier) to connect, and the microphone and the main controller use PDM (Pulse Density Modulation) to connect, so that the audio data stream can be wirelessly transmitted through the Bluetooth link. The sensor and the main controller AI Bluetooth chip use serial communication, such as I2C (Inter-Integrated Circuit, internal integrated circuit bus) and SPI (Serial Peripheral Interface). The sensor collects data and sends it to the main controller for data fusion, and combines it with relevant algorithm processing for scene recognition management. The camera module and the Wi-Fi chip use MIPI (Mobile Industry Processor The data of photos or videos taken by the camera is transmitted to the Wi-Fi chip and saved locally in real time, which can be retrieved and used according to relevant applications later; the memory and Wi-Fi chip are connected by SDIO (Secure Digital Input and Output) interface, which provides large-capacity storage space for taking photos and videos. The AI Bluetooth chip and Wi-Fi chip use independent RF antenna systems to avoid interference in data transmission and improve the efficiency of data transmission. Based on this, refer to Figure 4 As shown, the control process of the headset includes:

[0113] At the beginning, the AI smart headset is in sleep mode. The user wakes up the AI smart headset through a specific voice wake-up word and enters the multi-scene static perception mode. In the multi-scene static perception mode, the multi-layer perceptron model based on the neural network algorithm is started. The ambient light sensor in the AI smart headset collects light intensity values, and the air pressure sensor collects air pressure values. The light intensity value and air pressure value are input into the multi-layer perceptron model. The multi-layer perceptron model determines whether it is an outdoor scene or an indoor scene, and outputs the selection information through voice to the end user to further select a specific scene. For example, there are 5 scenes defined for outdoor and indoor scenes.

[0114] When choosing an outdoor sports scene, the AI smart headset turns on Bluetooth and sports health monitoring, and turns off Wi-Fi, recording, video and other functions, which can minimize power consumption and increase the usage time of the headset.

[0115] When an outdoor shooting scene is selected, the AI smart headset turns on the shooting function (also known as video recording) and turns off other functions such as Bluetooth, Wi-Fi, playback, recording, and health monitoring. After the shooting is completed, the image content is stored locally in real time to ensure the lowest power consumption design in the shooting scene.

[0116] When an outdoor live broadcast scene is selected, the AI smart headset turns on shooting, recording and Wi-Fi, and turns off other functions such as Bluetooth transmission, playback, health monitoring (including sports health detection and static health detection); and uploads audio and video content to the cloud server via Wi-Fi in real time. After the transmission is completed, the Wi-Fi function is immediately turned off to ensure the lowest power consumption and lowest latency design in the live broadcast scene.

[0117] When the office scene is selected, the AI smart headset turns on functions such as Bluetooth playback and static health monitoring, and turns off other functions such as Wi-Fi, recording, video recording, and sports health monitoring to ensure the minimum functional design in office mode.

[0118] When a meeting scenario is selected, the AI smart headset turns on the recording function and turns off other functions such as Wi-Fi, Bluetooth playback, video recording, health monitoring, etc.; and saves the recording content in local storage in real time to ensure the minimum functional design in meeting mode.

[0119] Finally, the mode status is monitored in real time to see if it has changed. When it is detected that the mode status has not changed, the original mode will be maintained and continued to run. When it is detected that the mode status has changed, it will re-enter the low-power sleep state to ensure the low-power operation of the AI smart headset and increase the usage time of the AI smart headset.

[0120] It should be noted that the above examples are only used to assist in understanding the present application and do not constitute a limitation on the specific structure of the headphones and the control method of the headphones in the present application. More simple transformations based on this technical concept are all within the scope of protection of the present application.

[0121] In addition, an embodiment of the present application further provides a control device, which is deployed in a headset and includes:

[0122] a determination module, configured to determine a target scene in which the headset is located, and obtain a first function corresponding to the target scene based on a preset mapping relationship, wherein the preset mapping relationship is a mapping relationship between different scenes in which the headset is located and extended functions that need to be enabled;

[0123] The control module is used to control the headset to turn on the first function and control the headset to turn off a second function, wherein the second function includes at least one extended function different from the first function.

[0124] In one embodiment, the determining module is further configured to:

[0125] In response to a scene selection instruction, obtaining a selected scene according to the scene selection instruction, and determining the selected scene as a target scene for the headset; or

[0126] Environmental information is collected and input into a pre-trained scene recognition model to obtain a target scene in which the headset is located, wherein the environmental information includes light intensity values and / or air pressure values.

[0127] In one embodiment, the determining module is further configured to:

[0128] Inputting the environmental information into a pre-trained scene recognition model and outputting a scene recognition result;

[0129] Acquire all candidate scenes related to the scene recognition result, and output selection information for all the candidate scenes;

[0130] When a selection result fed back for the selection information is received, the candidate scene selected in the selection result is determined to be the target scene where the headset is located.

[0131] In one embodiment, the control device further includes a detection module configured to:

[0132] If the headset has a camera function, then executing the step of determining the target scene where the headset is located; or,

[0133] If the headset is in a dormant state, when a multi-scene static perception wake-up operation is detected, the headset is awakened to enter an active state, and the step of determining the target scene in which the headset is located is performed.

[0134] In one embodiment, the detection module is further configured to:

[0135] Collecting ambient speech, and performing speech recognition on the ambient speech to obtain a text recognition result;

[0136] If the text recognition result includes a preset wake-up prompt word, it is determined that a multi-scene static perception wake-up operation is detected, and the headset is woken up to enter an activated state.

[0137] In one embodiment, the control device further includes a sleep module, configured to:

[0138] If it is detected that the headset meets a preset sleep condition, the headset is controlled to enter a sleep state;

[0139] The preset sleep condition includes that no operation on the headset is detected within a preset time period, and / or an operation indicating that the headset enters a sleep state is detected.

[0140] In one embodiment, the headset includes a first control unit and a second control unit, wherein the first control unit is connected to the speaker, and the second control unit is connected to the camera module. The control module is further configured to:

[0141] If the first function enabled includes audio playback and video recording, the first control unit acquires the audio to be output and outputs it through the speaker, and the second control unit acquires and stores the image data captured by the camera module;

[0142] The first control unit and the second control unit communicate with the outside world independently using two signals with isolated frequency bands.

[0143] In one embodiment, the preset mapping relationship includes at least one of the following:

[0144] If the headset is in an outdoor sports scene, Bluetooth and sports health monitoring are turned on;

[0145] If the headset is in an outdoor shooting scene, start the camera;

[0146] If the headset is in an outdoor live broadcast scene, turn on the camera, recording and WIFI;

[0147] If the headset is in an office setting, Bluetooth and static health monitoring are enabled;

[0148] If the headset is in a conference scene, recording is started.

[0149] The headphone control device provided in the embodiments of this application solves the problem of how to achieve intelligent dynamic power consumption control and improve the battery life of headphones. Compared with the existing technology, the beneficial effects of the headphone control device provided in this application are the same as those of the headphone control method provided in the above embodiments. The other technical features of the headphone control device are the same as those disclosed in the above embodiments and are not further described here.

[0150] In addition, an embodiment of the present application also proposes an earphone, which includes a memory, a processor, and an earphone control program stored in the memory and executable on the processor. When the earphone control program is executed by the processor, the steps of the earphone control method as described above are implemented.

[0151] like Figure 5 As shown, the headset may include a processing system 1001 (e.g., a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes based on programs stored in a read-only memory (ROM) 1002 or programs loaded from a storage system 1003 into a random access memory (RAM) 1004. RAM 1004 also stores various programs and data required for headset operation. Processing system 1001, ROM 1002, and RAM 1004 are connected to each other via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems may be connected to I / O interface 1006: an input system 1007 including, for example, a touch screen, a touchpad, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output system 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage system 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication system 1009. Communication system 1009 can allow the headset to communicate with other devices wirelessly or wired to exchange data. Although the figure shows a headset with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems can be implemented or have instead.

[0152] In particular, according to the embodiments disclosed in the present application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, the embodiments disclosed in the present application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program comprising program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network via a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0153] The headphones provided in the embodiments of this application utilize the headphone control method of the aforementioned embodiments to solve the problem of achieving intelligent dynamic power consumption control and improve the headphone's battery life. Compared to the prior art, the headphones provided in this application have the same beneficial effects as the headphone control method of the aforementioned embodiments, and the other technical features of the headphones are the same as those disclosed in the aforementioned embodiments, so they will not be detailed here.

[0154] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0155] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

[0156] In addition, to achieve the above-mentioned purpose, an embodiment of the present application further provides a readable storage medium having computer-readable program instructions (i.e., a computer program) stored thereon, and the computer-readable program instructions are used to execute the headset control method in the above-mentioned embodiment.

[0157] The computer-readable storage medium provided in the embodiments of the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0158] The computer-readable storage medium may be contained in the earphone, or may exist independently without being assembled into the earphone.

[0159] The above-mentioned computer-readable storage medium carries one or more programs. When the above-mentioned one or more programs are executed by the headset, the headset: determines the target scene in which the headset is located, and obtains a first function corresponding to the target scene based on a preset mapping relationship, wherein the preset mapping relationship is a mapping relationship between different scenes in which the headset is located and the extended functions that need to be turned on; controls the headset to turn on the first function, and controls the headset to turn off the second function, wherein the second function includes at least one extended function different from the first function.

[0160] Computer program code for performing the operations of the present application may be written in one or more programming languages, or a combination thereof, including object-oriented programming languages such as Java, Smalltalk, C++, and conventional procedural programming languages such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0161] The flow charts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present application. In this regard, each box in the flow chart or block diagram can represent a module, program segment or a part of code, and the module, program segment or a part of code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order than that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented by a dedicated hardware-based system that performs the specified function or operation, or can be implemented by a combination of dedicated hardware and computer instructions.

[0162] The modules described in the embodiments of the present application may be implemented in software or hardware, wherein the name of a module does not necessarily limit the unit itself.

[0163] The computer-readable storage medium provided in this application stores computer-readable program instructions (i.e., a computer program) for executing the aforementioned headphone control method. This computer-readable storage medium addresses the issue of intelligent dynamic power consumption control and improves the battery life of headphones. Compared to the prior art, the computer-readable storage medium provided in this application offers the same beneficial effects as the headphone control method provided in the aforementioned embodiments, and will not be further elaborated upon here.

[0164] In addition, an embodiment of the present application further provides a computer program product, including a headset control program, which implements the steps of the headset control method described above when executed by a processor.

[0165] The specific implementation of the computer program product of the present application is basically the same as the embodiments of the above-mentioned earphone control method, and will not be repeated here.

[0166] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or system comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or system. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or system comprising the element.

[0167] The serial numbers of the above embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0168] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus the necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art can be embodied in the form of a software sensor, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes a number of instructions for enabling a terminal device (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in each embodiment of the present application.

[0169] The above are only preferred embodiments of the present application and do not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A method for controlling headphones, characterized in that: The earphone control method comprises the following steps: Determining a target scene in which the headset is located, and obtaining a first function corresponding to the target scene based on a preset mapping relationship, wherein the preset mapping relationship is a mapping relationship between different scenes in which the headset is located and extended functions that need to be enabled; The headset is controlled to enable the first function, and the headset is controlled to disable a second function, wherein the second function includes at least one extended function different from the first function.

2. The earphone control method according to claim 1, wherein: The step of determining the target scene in which the headset is located includes: In response to a scene selection instruction, obtaining a selected scene according to the scene selection instruction, and determining the selected scene as a target scene for the headset; or Environmental information is collected and input into a pre-trained scene recognition model to obtain a target scene in which the headset is located, wherein the environmental information includes light intensity values and / or air pressure values.

3. The earphone control method according to claim 2, wherein: The step of inputting the environmental information into a pre-trained scene recognition model to obtain the target scene where the headset is located includes: Inputting the environmental information into a pre-trained scene recognition model and outputting a scene recognition result; Acquire all candidate scenes related to the scene recognition result, and output selection information for all the candidate scenes; When a selection result fed back for the selection information is received, the candidate scene selected in the selection result is determined to be the target scene where the headset is located.

4. The earphone control method according to claim 1, wherein: Before the step of determining the target scene in which the headset is located, the method further includes: If the headset has a camera function, then executing the step of determining the target scene where the headset is located; or, If the headset is in a dormant state, when a multi-scene static perception wake-up operation is detected, the headset is awakened to enter an active state, and the step of determining the target scene in which the headset is located is performed.

5. The earphone control method according to claim 4, wherein: The step of waking up the headset to enter an active state when a multi-scenario static perception wake-up operation is detected includes: Collecting ambient speech, and performing speech recognition on the ambient speech to obtain a text recognition result; If the text recognition result includes a preset wake-up prompt word, it is determined that a multi-scene static perception wake-up operation is detected, and the headset is woken up to enter an activated state.

6. The method for controlling the earphone according to any one of claims 1 to 5, wherein: After the steps of controlling the headset to enable the first function and controlling the headset to disable the second function, the method further includes: If it is detected that the headset meets a preset sleep condition, the headset is controlled to enter a sleep state; The preset sleep condition includes that no operation on the headset is detected within a preset time period, and / or an operation indicating that the headset enters a sleep state is detected.

7. The method for controlling an earphone according to any one of claims 1 to 5, wherein: The headset includes a first control unit and a second control unit, the first control unit is connected to the speaker, and the second control unit is connected to the camera module. After the steps of controlling the headset to enable the first function and controlling the headset to disable the second function, the method further includes: If the first function turned on includes audio playback and video recording, the audio to be output is obtained by the first control unit and outputted through the speaker, and the image data captured by the camera module is obtained and stored by the second control unit.

8. The method for controlling the earphone according to any one of claims 1 to 5, wherein: The preset mapping relationship includes at least one of the following: If the headset is in an outdoor sports scene, Bluetooth and sports health monitoring are turned on; If the headset is in an outdoor shooting scene, start the camera; If the headset is in an outdoor live broadcast scene, turn on the camera, recording and WIFI; If the headset is in an office setting, Bluetooth and static health monitoring are enabled; If the headset is in a conference scene, recording is started.

9. A headset, characterized in that: The headset includes: a memory, a processor, and a headset control program stored in the memory and executable on the processor. When the headset control program is executed by the processor, the steps of the headset control method according to any one of claims 1 to 8 are implemented.

10. A readable storage medium, characterized in that: The readable storage medium is a computer-readable storage medium, on which a program for implementing the method for controlling headphones is stored. The program for implementing the method for controlling headphones is executed by a processor to implement the steps of the method for controlling headphones as described in any one of claims 1 to 8.

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