Earphone parameter reloading method, device and system based on fingerprint and electronic equipment thereof

Abstract

The embodiment of the invention provides a fingerprint-based earphone parameter reloading method, device and system. The method comprises the following steps: acquiring fingerprint data input by a current earphone; based on the fingerprint data, fingerprint feature data are determined, and the fingerprint feature data comprise authorization feature data and / or age feature data; based on the authorization feature data, determining whether the fingerprint data is target fingerprint data; and based on the target fingerprint data and / or the age characteristic data, reading corresponding preset configuration parameters to reload the parameters of the current earphone. The authorization feature data and the age feature data corresponding to the fingerprint data are obtained, then the preset configuration parameters are adjusted according to the two feature data, the adjusted preset configuration parameters are obtained and applied to the parameter reloading of the current earphone, and therefore the user experience can be improved according to the conditions of the user. According to the invention, the use state of the earphone is adjusted to meet the use requirement of a customer, the adjustment setting of the earphone is optimized, and the use comfort of a user is improved.

Description

Technical Field

[0001] The present invention relates to the field of smart headphones, and in particular to a fingerprint-based headphone parameter reloading method, device, system, electronic device and storage medium thereof. Background Art

[0002] In the field of modern audio equipment, especially in the high-end headphone market, personalization and intelligence have become important trends in product development. With the continuous advancement and popularization of biometric technology, more and more headphones are integrating biometric functions to enhance user experience, improve security and provide more accurate user services.

[0003] Since the headphone users are required to preset or manually set the parameters of the headphone through the APP to complete the status adjustment of the headphone, there is a lack of automatic recognition and adaptability, and it cannot guarantee that every user can get a suitable listening experience according to their own conditions. Therefore, the existing headphone parameter overloading method has the problem of insufficient fingerprint recognition accuracy and inability to adaptively adjust the headphone parameters according to fingerprint features. Summary of the invention

[0004] The embodiment of the present invention provides a method for reloading earphone parameters based on fingerprint, so as to solve the problems of the existing earphone parameter reloading method having insufficient fingerprint recognition accuracy and being unable to adaptively adjust the earphone parameters according to the fingerprint features.

[0005] In a first aspect, an embodiment of the present invention provides a method for reloading earphone parameters based on fingerprint, the method comprising the following steps: Get the fingerprint data currently recorded by the headset; Based on the fingerprint data, determining fingerprint feature data, the fingerprint feature data including authorization feature data and / or age feature data; Based on the authorization feature data, determining whether the fingerprint data is target fingerprint data; Based on the target fingerprint data and / or age feature data, corresponding preset configuration parameters are read to reload the parameters of the current headset.

[0006] Optionally, determining fingerprint feature data based on the fingerprint data includes: Based on a preset fingerprint recognition algorithm, the fingerprint data is recognized to obtain fingerprint pattern feature data; Based on the fingerprint pattern feature data, the authorization feature data and age feature data of the input fingerprint are determined.

[0007] Optionally, before acquiring the fingerprint data currently recorded by the headset, the method further includes: Obtain at least one new fingerprint data currently recorded by the headset; The new fingerprint data is identified by a preset fingerprint identification algorithm to obtain target fingerprint data; Based on the target fingerprint data, generate a corresponding fingerprint ID; According to the corresponding fingerprint ID and the corresponding preset configuration parameters, an ID library corresponding to the target fingerprint data is constructed, and the ID library includes authorization feature data, age feature data, fingerprint ID and preset configuration parameters corresponding to the target fingerprint data.

[0008] Optionally, the determining whether the fingerprint data is target fingerprint data based on the authorization feature data includes: Through the authorization feature data in the ID library, the authorization feature data corresponding to the input fingerprint data is matched and searched; If the matching search is successful, the entered fingerprint data is determined to be the target fingerprint data; If the matching search is unsuccessful, the entered fingerprint data is determined to be new fingerprint data.

[0009] Optionally, based on the target fingerprint data and / or age feature data, reading corresponding preset configuration parameters to reload parameters of the current headset includes: If the entered fingerprint data is the target fingerprint data, the ID library corresponding to the target fingerprint data is read, the preset configuration parameters in the ID library are obtained, and the parameters of the current headset are reloaded according to the preset configuration parameters and the age feature data; If the entered fingerprint data is new fingerprint data, the default configuration parameters of the headset are adjusted according to the age feature data to obtain adaptive configuration parameters, and the parameters of the current headset are reloaded according to the adaptive configuration parameters.

[0010] Optionally, the preset configuration parameters include volume level, speaker output gains, microphone input gains, noise reduction gains, left and right ear channel configuration data, user operation UI setting data, prompt tone language setting data and / or headphone environment mode, the headphone environment mode includes ANC mode, transparency mode, e-sports mode or normal mode, and the ID library also includes application account data and customized parameters of each playback application corresponding to the target fingerprint data; After reading the corresponding preset configuration parameters based on the target fingerprint data and / or age feature data to reload the parameters of the current headset, the method further includes: Obtain the foreground playback application and the corresponding application account data and customized parameters, wherein the application account data includes a user name and a key; Determine corresponding application account data according to the foreground playback application and the target fingerprint data; Complete the login operation of the foreground playback application based on the corresponding application account data, and load the corresponding customized parameters into the foreground playback application; Get the sound playing characteristics of the foreground playing application in the preset application library; The preset configuration parameters are adaptively modified according to the sound playing characteristics.

[0011] In a second aspect, an embodiment of the present invention further provides a fingerprint-based earphone parameter reloading device, the fingerprint-based earphone parameter reloading device comprising: The first acquisition module is used to acquire the fingerprint data currently recorded by the headset; A first determination module, configured to determine fingerprint feature data based on the fingerprint data, wherein the fingerprint feature data includes authorization feature data and / or age feature data; A second determination module, used to determine whether the fingerprint data is target fingerprint data based on the authorization feature data; The reading module is used to read the corresponding preset configuration parameters based on the target fingerprint data and / or age feature data to reload the parameters of the current headset.

[0012] In a third aspect, an embodiment of the present invention further provides a fingerprint-based earphone parameter reloading system, and the fingerprint-based earphone parameter reloading system includes: a fingerprint-based earphone parameter reloading device, a server, and a smart earphone.

[0013] In a fourth aspect, an embodiment of the present invention provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps in the fingerprint-based headphone parameter reloading method provided in an embodiment of the present invention are implemented.

[0014] In a fifth aspect, an embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps in the fingerprint-based headphone parameter reloading method provided in the embodiment of the invention are implemented.

[0015] In an embodiment of the present invention, the fingerprint data currently recorded by the headset is obtained; based on the fingerprint data, the fingerprint characteristic data is determined, and the fingerprint characteristic data includes authorization characteristic data and / or age characteristic data; based on the authorization characteristic data, it is determined whether the fingerprint data is the target fingerprint data; based on the target fingerprint data and / or age characteristic data, the corresponding preset configuration parameters are read to reload the parameters of the current headset. By obtaining the authorization characteristic data and the age characteristic data corresponding to the fingerprint data, and then adjusting the preset configuration parameters according to these two characteristic data, the adjusted preset configuration parameters are obtained, and applied to the parameter reloading of the current headset, so that the use status of the headset can be adjusted according to the user's own conditions to meet the customer's usage needs, optimize the adjustment settings of the headset, and improve the user's comfort. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 is an architecture diagram of a fingerprint-based earphone parameter reloading system provided by an embodiment of the present invention; Figure 2 is a flow chart of a method for reloading earphone parameters based on fingerprint provided by an embodiment of the present invention; Figure 3 yes Figure 2 Specific flow chart of step S202; Figure 4 yes Figure 2 The specific flow chart before step S201; Figure 5 yes Figure 2 Specific flow chart of step S203; Figure 6 yes Figure 2 Specific flow chart of step S204; Figure 7 yes Figure 2 The specific flow chart after step S204; Figure 8 is a structural schematic diagram of a fingerprint-based earphone parameter reloading device provided in an embodiment of the present invention; Fig. 9 It is a structural schematic diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] The terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first", "second", etc. are generally of one type, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and / or" in the specification and claims represents at least one of the connected objects, and the character " / " generally indicates that the objects associated with each other are in an "or" relationship.

[0020] like Figure 1 As shown, Figure 1 It is an architecture diagram 100 of a fingerprint-based headset parameter reloading system provided by an embodiment of the present invention, and the fingerprint-based headset parameter reloading system includes: a fingerprint-based headset parameter reloading device 800, a server 101, and a smart headset 102. Among them, the fingerprint-based headset parameter reloading device 800 also includes a first acquisition module, which can be used to obtain fingerprint data recorded by the current headset; a first determination module, which can be used to determine fingerprint feature data based on the fingerprint data, and the fingerprint feature data includes authorization feature data and / or age feature data; a second determination module, which can be used to determine whether the fingerprint data is the target fingerprint data based on the authorization feature data; a reading module, which can be used to read the corresponding preset configuration parameters based on the target fingerprint data and / or age feature data to reload the parameters of the current headset.

[0021] Among them, the above-mentioned smart headphones may include but are not limited to wireless headphones with fingerprint recognition modules, including but not limited to neck-hanging, TWS-type headphones, etc.

[0022] The above-mentioned fingerprint data can be data obtained by scanning the fingerprint through the fingerprint recognition module attached to the above-mentioned fingerprint-based headphone parameter reloading device. Generally speaking, the above-mentioned fingerprint recognition module forms image data after scanning and identifying the fingerprint pattern pressed on the module, and stores it in the above-mentioned fingerprint-based headphone parameter reloading system attached database.

[0023] The fingerprint feature data may include but are not limited to authorization feature data and / or age feature data, wherein the authorization feature data may be determined by the ridge state of the fingerprint, the skin state around the fingerprint, such as cracks, pits and other skin state data. Generally speaking, the fingerprint feature data may be identified and analyzed by a preset fingerprint recognition algorithm, and the fingerprint corresponding to the current fingerprint feature data may be determined based on unique features, such as the curvature of the ridge, the distance between ridges, and whether there are other cracks, pits and other skin states in a specific area of ​​the ridge, so that the corresponding user may be determined based on the corresponding fingerprint, and then the database may be queried to determine whether the current user is entered or in an authorized state.

[0024] In a possible embodiment, the age characteristic data of the fingerprint can be obtained by recognizing and analyzing the ridge state of the fingerprint and the skin state around the fingerprint, such as cracks, pits and other skin state data, and then calculating the age range of the corresponding user of the corresponding fingerprint data according to the curvature characteristics, wrinkle characteristics and current skin state of the ridge line. Generally speaking, the greater the curvature of the ridge line, the more wrinkles, and the worse the skin state, the older the current user is.

[0025] In another possible embodiment, the above-mentioned fingerprint-based headset parameter reloading system identifies and analyzes the fingerprint recorded in the headset through the fingerprint recognition module, determines the age characteristic data of the current user and whether it is in the authorized state, that is, whether the current fingerprint data is the target fingerprint data, and finally reads the corresponding preset configuration parameters in the database according to the target fingerprint data and / or age characteristic data to reload the current parameters of the headset. It should be noted that when it is read that the user is in the authorized state, the current fingerprint-based headset parameter reloading system can directly reload the current parameters of the headset according to the preset configuration parameters corresponding to the user, and can also adjust the preset configuration parameters corresponding to the user according to the analysis of the current age characteristic data of the user, and then reload the current parameters of the headset according to the adjusted configuration parameters. It is worth mentioning that if the user is configuring for the first time and is already in the authorized state, that is, the current user has no preset configuration parameters in the database, then the preset configuration parameters corresponding to the user can be adjusted according to the analysis of the current age characteristic data of the user, and then the current parameters of the headset can be reloaded according to the adjusted configuration parameters.

[0026] Specifically, if the current user is detected as a child, a safe volume limit will be set according to the preset configuration parameters of the children's headphone type to ensure that the output volume does not exceed the safety level, thereby avoiding long-term damage to the child's hearing; if the current user is detected as an elderly person, the volume will be increased as much as possible and the operation mode of the corresponding configuration program of the headphones will be simplified to facilitate the operation and use of the elderly.

[0027] The above-mentioned configuration program can be an APP that can adjust the configuration parameters of the above-mentioned headphones, and can be applied to any smart terminal, so as to achieve the purpose of presetting or adjusting the configuration parameters of the headphones through the smart terminal.

[0028] like Figure 2 As shown, Figure 2 1 is a flowchart of a method for reloading earphone parameters based on fingerprint provided by an embodiment of the present invention. The method for reloading earphone parameters based on fingerprint includes the steps of: S201. Obtain fingerprint data currently recorded by the headset.

[0029] In an embodiment of the present invention, the above-mentioned fingerprint-based headphone parameter reloading method can be applied to a fingerprint-based headphone parameter reloading system. The above-mentioned fingerprint-based headphone parameter reloading system has functions such as fingerprint data processing, fingerprint data recognition and fingerprint data storage, and can be constructed based on a server or a server cluster. The above-mentioned server or server cluster can be an electronic device with fingerprint data processing capabilities.

[0030] The above-mentioned fingerprint data can be data obtained by scanning the fingerprint through the fingerprint recognition module attached to the above-mentioned fingerprint-based headphone parameter reloading device. Generally speaking, the above-mentioned fingerprint recognition module forms image data after scanning and identifying the fingerprint pattern pressed on the module, and stores it in the above-mentioned fingerprint-based headphone parameter reloading system attached database.

[0031] In a possible embodiment, the fingerprint-based headphone parameter reloading system collects data through the user's fingerprint through the built-in fingerprint recognition module, converts it into a digital signal, encodes it and stores or compares it. The digital signal can express the ridge features and detail features corresponding to the fingerprint. These features will also be stored in the corresponding database so that the fingerprint features can be compared later by retrieving the data in the database.

[0032] S202: Determine fingerprint feature data based on the fingerprint data.

[0033] In an embodiment of the present invention, the fingerprint feature data may include but is not limited to authorization feature data and / or age feature data, wherein the authorization feature data may be determined by the ridge state of the fingerprint, the skin state around the fingerprint, such as cracks, pits and other skin state data. Generally speaking, the fingerprint feature data may be identified and analyzed by a preset fingerprint recognition algorithm, and the fingerprint corresponding to the current fingerprint feature data may be determined based on unique features, such as the curvature of the ridge, the distance between ridges, and whether there are other cracks, pits and other skin states in a specific area of ​​the ridge, so that the corresponding user may be determined based on the corresponding fingerprint, and then the database may be queried to determine whether the current user is entered or in an authorized state.

[0034] In a possible embodiment, the above-mentioned authorization feature data can also be determined by comparing the user information in the database. Specifically, when the key features in the fingerprint are determined by the fingerprint feature data, such as the direction of the ridge, the bifurcation point, the end point and the surrounding skin condition, these key features are compared and matched with the corresponding key features of the authorized user stored in the database. If they match, it means that the current fingerprint is the same as the authorized user, that is, the user of the current fingerprint has the authorized feature.

[0035] In another possible embodiment, the fingerprint-based headphone parameter reloading system uses an age feature model to identify and analyze the ridge clarity, number of bifurcation points, and morphological changes of the fingerprint, thereby determining the age feature data of the current user and judging the age range of the current user. The age feature model can be any deep convolution model that can be trained for deep learning. The trained deep convolution model can identify and analyze the detailed features of the user's fingerprint, thereby determining the age range of the user.

[0036] S203: Determine whether the fingerprint data is target fingerprint data based on the authorization feature data.

[0037] In an embodiment of the present invention, the target fingerprint data may be the fingerprint data of the headset input by a user with authorized features. Generally speaking, when the key feature data in the fingerprint is determined through the fingerprint feature data, such as the direction of the ridge, the bifurcation point, the end point and the surrounding skin condition, etc., these key features are compared and matched with the corresponding key features of the authorized user stored in the database. If they match, it means that the current fingerprint is the same as the authorized user, that is, the user of the current fingerprint has the authorized feature, and the corresponding fingerprint data is the target fingerprint data.

[0038] S204: Based on the target fingerprint data and / or age feature data, read the corresponding preset configuration parameters to reload the parameters of the current earphone.

[0039] In an embodiment of the present invention, the above-mentioned fingerprint-based headset parameter reloading system identifies and analyzes the fingerprint recorded in the headset through the fingerprint recognition module, determines the age characteristic data of the current user and whether it is in the authorized state, that is, whether the current fingerprint data is the target fingerprint data, and finally reads the corresponding preset configuration parameters in the database according to the target fingerprint data and / or age characteristic data to reload the current parameters of the headset. It should be noted that when it is read that the user is in the authorized state, the current fingerprint-based headset parameter reloading system can directly reload the current parameters of the headset according to the preset configuration parameters corresponding to the user, and can also adjust the preset configuration parameters corresponding to the user according to the analysis of the current age characteristic data of the user, and then reload the current parameters of the headset according to the adjusted configuration parameters. It is worth mentioning that if the user is configuring for the first time and is already in the authorized state, that is, the current user has no preset configuration parameters in the database, then the preset configuration parameters corresponding to the user can be adjusted according to the analysis of the current age characteristic data of the user, and then the current parameters of the headset can be reloaded according to the adjusted configuration parameters.

[0040] Specifically, if the current user is detected as a child, a safe volume limit will be set according to the preset configuration parameters of the children's headphone type to ensure that the output volume does not exceed the safety level, thereby avoiding long-term damage to the child's hearing; if the current user is detected as an elderly person, the volume will be increased as much as possible and the operation mode of the corresponding configuration program of the headphones will be simplified to facilitate the operation and use of the elderly.

[0041] In the embodiment of the present invention, the fingerprint data currently recorded by the headset is obtained; based on the fingerprint data, the fingerprint characteristic data is determined, and the fingerprint characteristic data includes authorization characteristic data and / or age characteristic data; based on the authorization characteristic data, it is determined whether the fingerprint data is the target fingerprint data; based on the target fingerprint data and / or age characteristic data, the corresponding preset configuration parameters are read to reload the parameters of the current headset. By obtaining the authorization characteristic data and the age characteristic data corresponding to the fingerprint data, and then adjusting the preset configuration parameters according to these two characteristic data, the adjusted preset configuration parameters are obtained, and applied to the parameter reloading of the current headset, so that the use status of the headset can be adjusted according to the user's own conditions to meet the customer's use needs, optimize the adjustment settings of the headset, and improve the user's comfort.

[0042] Optional, such as Figure 3 As shown, in step S202, the step of determining fingerprint feature data based on fingerprint data also includes steps S2021-S2022, wherein: S2021. Based on a preset fingerprint recognition algorithm, the fingerprint data is identified to obtain fingerprint pattern feature data.

[0043] In an embodiment of the present invention, the above-mentioned preset fingerprint recognition algorithm can be any one that can scan, identify and analyze the texture features of the fingerprint, and derive the ridge texture features in the texture features based on the analysis results, and determine the corresponding user information based on the ridge texture features. The algorithm may include but is not limited to image-based learning algorithms, feature matching algorithms, image recognition algorithms based on deep learning, etc.

[0044] The above-mentioned fingerprint pattern feature data may include but are not limited to key ridge line pattern feature data in the fingerprint, such as ridge direction, ridge spacing, ridge width, ridge bifurcation point and ridge end point, etc. Generally speaking, the unique texture pattern of the ridge can be identified by the ridge direction, ridge spacing and ridge width. The ridge spacing and ridge width can be used to improve the accuracy of the above-mentioned preset fingerprint recognition algorithm.

[0045] S2022. Determine the authorization feature data and age feature data of the input fingerprint based on the fingerprint pattern feature data.

[0046] In the embodiment of the present invention, the above authorization feature data can be determined by the ridge state of the fingerprint, the skin state around the fingerprint, such as cracks, pits and other skin state data. Generally speaking, the above fingerprint feature data can be identified and analyzed by a preset fingerprint recognition algorithm, and the fingerprint corresponding to the current fingerprint feature data can be determined based on unique features, such as the curvature of the ridge, the distance between ridges, and whether there are other cracks, pits and other skin states in a specific area of ​​the ridge, so that the corresponding user can be determined based on the corresponding fingerprint, and then the database can be queried to see whether the current user is entered or in an authorized state.

[0047] The above-mentioned age characteristic data can be obtained by identifying and analyzing the ridge state of the above-mentioned fingerprint, the skin condition around the fingerprint, such as cracks, potholes and other skin condition data, and then calculating the age range of the corresponding user of the corresponding fingerprint data based on the curvature characteristics of the ridge, wrinkle characteristics, and the current skin condition.

[0048] In a possible embodiment, the fingerprint-based headphone parameter reloading system uses a preset fingerprint recognition algorithm to identify and scan the input fingerprint data, determine the fingerprint ridge features corresponding to the fingerprint data, determine the corresponding user information based on the unique texture pattern of the ridges in the fingerprint ridge features, and match it in the database, so as to determine the user's authorization status based on the matching results, and then infer the user's age range based on the unique texture pattern of the ridges.

[0049] The embodiment of the present invention performs efficient identification through a preset fingerprint recognition algorithm, utilizes the unique texture pattern of the ridge to accurately extract user information, and matches it in the system database, thereby ensuring timely confirmation of the user's authorization status, and can further infer the user's age range, thereby enhancing security and preventing unauthorized access. By accurately analyzing fingerprint features, the system can also provide customized services that are more in line with current user needs and enhance the user experience.

[0050] Optional, such as Figure 4 As shown, before the step S201 of acquiring the fingerprint data currently recorded by the headset, steps S205-S208 are also included, wherein: S205: Obtain at least one new fingerprint data currently recorded by the headset.

[0051] In an embodiment of the present invention, the at least one new fingerprint data may be fingerprint data entered into the fingerprint-based headphone parameter reloading system for the first time through the fingerprint recognition module. Generally speaking, the headphone can be connected to the fingerprint-based headphone parameter reloading system through an APP, and the fingerprint data is entered through the fingerprint recognition module, and then displayed in the operating system of the APP.

[0052] S206: Identify the new fingerprint data using a preset fingerprint identification algorithm to obtain target fingerprint data.

[0053] In a possible embodiment, the fingerprint-based headphone parameter reloading system identifies and analyzes the fingerprint pattern feature data of the new fingerprint data through a preset fingerprint recognition algorithm, binds the fingerprint information corresponding to the new fingerprint data according to the fingerprint pattern feature data, and uses the new fingerprint data as the target fingerprint data, that is, the fingerprint data that has been entered into the system.

[0054] S207: Generate a corresponding fingerprint ID based on the target fingerprint data.

[0055] The fingerprint ID can be a unique identifier of the fingerprint data in the system database, used to distinguish and manage fingerprint data of different users. Generally speaking, the fingerprint ID can be generated by the fingerprint-based headphone parameter reloading system, which can be composed of numbers, letters and other wildcards, and associated with the user's information, and stored in the ID library of the corresponding user, so that it can be quickly identified and retrieved for matching.

[0056] S208: Construct an ID library corresponding to the target fingerprint data according to the corresponding fingerprint ID and the corresponding preset configuration parameters.

[0057] The above-mentioned preset configuration parameters may be general configuration parameters for the earphones by the user corresponding to the above-mentioned fingerprint ID, that is, the configuration parameters that the user sets for the earphones later according to his own needs. The preset configuration parameters may be bound through the above-mentioned fingerprint ID, so that after the earphones verify the user's fingerprint data, they can directly reload the configuration parameters of the earphones according to the configuration parameters configured by the user later.

[0058] The above ID library may include but is not limited to the authorized feature data corresponding to the target fingerprint data, age feature data, fingerprint ID and preset configuration parameters. And each user can bind an ID library accordingly, but through the APP operation, the user can bind other ID libraries authorized to the current user through the system.

[0059] In a possible embodiment, the fingerprint-based headphone parameter reloading system identifies and analyzes new fingerprint data, distinguishes the new fingerprint data according to the fingerprint pattern feature data corresponding to the new fingerprint data, thereby obtaining the corresponding target fingerprint data, and constructs an ID library for the target fingerprint data.

[0060] Optional, such as Figure 5 As shown, in step S203, based on the authorization feature data, the step of determining whether the fingerprint data is the target fingerprint data also includes steps S2031-S2033, wherein: S2031, using the authorization feature data in the ID library, matching and searching the authorization feature data corresponding to the input fingerprint data; S2032: If the matching search is successful, the input fingerprint data is determined to be the target fingerprint data; S2033: If the matching search is unsuccessful, determine that the entered fingerprint data is new fingerprint data.

[0061] In the embodiment of the present invention, the above-mentioned authorization feature data may also be the fingerprint ID corresponding to the subsidiary authorization library in the database and the fingerprint IDs of other users bound to the fingerprint ID, etc. Generally speaking, the fingerprint data entered through the fingerprint recognition module of the headset will be marked as authorized fingerprint data, that is, the fingerprint data recorded in the database, and therefore can be regarded as the target fingerprint data.

[0062] In a possible embodiment, the fingerprint-based headphone parameter reloading system can search and match the fingerprint ID with authorized feature data in the ID library, for example, by analyzing the fingerprint pattern feature data corresponding to the fingerprint ID, determining the fingerprint feature data corresponding to the fingerprint ID, and then performing a matching search in the database based on the fingerprint feature data to find a fingerprint ID with the same fingerprint feature data. If a match is not found, it means that the current fingerprint ID is a newly entered fingerprint, that is, the fingerprint entered into the system for the first time. If a match is found, it means that it is authorized fingerprint data, that is, fingerprint data recorded in the database, and therefore it can be regarded as target fingerprint data.

[0063] Optional, such as Figure 6 As shown, in step S204, based on the target fingerprint data and / or age feature data, the corresponding preset configuration parameters are read to reload the parameters of the current headset, which also includes steps S2041-S2042, wherein: S2041. If the entered fingerprint data is the target fingerprint data, read the ID library corresponding to the target fingerprint data, obtain the preset configuration parameters in the ID library, and reload the parameters of the current headset according to the preset configuration parameters and the age feature data; S2042: If the input fingerprint data is new fingerprint data, the default configuration parameters of the headset are adjusted according to the age feature data to obtain adaptive configuration parameters, and the parameters of the current headset are reloaded according to the adaptive configuration parameters.

[0064] In an embodiment of the present invention, the above-mentioned default configuration parameters may be the factory setting parameters of the headset, or may be the configuration parameters after the previous user configures the parameters of the headset and overwrites the above-mentioned factory setting parameters, that is, after the setting, the factory setting parameters of the headset are overwritten, and the overwritten configuration parameters are used as the initial configuration parameters of the headset.

[0065] In a possible embodiment, the above-mentioned fingerprint-based headset parameter reloading system identifies and analyzes the fingerprint recorded in the headset through the fingerprint recognition module, determines the age characteristic data of the current user and whether it is in the authorized state, that is, whether the current fingerprint data is the target fingerprint data, and finally reads the corresponding preset configuration parameters in the database according to the target fingerprint data and / or age characteristic data to reload the current parameters of the headset. It should be noted that when it is read that the user is in the authorized state, the current fingerprint-based headset parameter reloading system can directly reload the current parameters of the headset according to the preset configuration parameters corresponding to the user, and can also adjust the preset configuration parameters corresponding to the user according to the analysis of the current age characteristic data of the user, and then reload the current parameters of the headset according to the adjusted configuration parameters. It is worth mentioning that if the user is configuring for the first time and is already in the authorized state, that is, the current user has no preset configuration parameters in the database, then the preset configuration parameters corresponding to the user can be adjusted according to the analysis of the current age characteristic data of the user, and then the current parameters of the headset can be reloaded according to the adjusted configuration parameters.

[0066] Specifically, if the current user is detected as a child, a safe volume limit will be set according to the preset configuration parameters of the children's headphone type to ensure that the output volume does not exceed the safety level, thereby avoiding long-term damage to the child's hearing; if the current user is detected as an elderly person, the volume will be increased as much as possible and the operation mode of the corresponding configuration program of the headphones will be simplified to facilitate the operation and use of the elderly.

[0067] Optional, such as Figure 7 As shown, after the step of reloading the parameters of the current headset by reading the corresponding preset configuration parameters based on the target fingerprint data and / or age feature data in step S204, the method further includes steps S209-S213, wherein: S209: Obtain the foreground playback application and the corresponding application account data and customized parameters.

[0068] In the embodiment of the present invention, the above-mentioned application account data may include but is not limited to any data used for user information verification such as user name and key.

[0069] The above preset configuration parameters may include but are not limited to volume level, speaker output gains, microphone input gains, noise reduction gains, left and right ear channel configuration data, user operation UI setting data, prompt tone language setting data and / or headphone environment mode.

[0070] The above-mentioned headphone environment mode may include but is not limited to ANC mode, transparency mode, e-sports mode or normal mode, and the above-mentioned ID library also includes application account data and customized parameters of each playback application corresponding to the target fingerprint data.

[0071] The above-mentioned speaker output gains can be the gain level of the headphone output sound, wherein the higher the gain, the greater the output volume, which is suitable for occasions where the sound clarity and loudness need to be improved.

[0072] The above-mentioned microphone input gains may be the degree to which the microphone amplifies the sound signal when receiving the sound signal.

[0073] The above noise reduction gains can be used to adjust the strength of the noise suppression algorithm to reduce the interference of background noise on the audio signal.

[0074] In this step S209, after determining the foreground playing application, all application account data and customized parameters of the application in the ID library are obtained.

[0075] S210: Determine corresponding application account data according to the foreground playing application and the target fingerprint data.

[0076] In a possible embodiment, the above-mentioned fingerprint-based headphone parameter reloading system obtains the mobile phone foreground playback application process through the APP, and determines the user information through the target fingerprint data, thereby determining the application account data corresponding to the user information in all the application account data under the application in the ID library. It should be noted that since the user's settings in the playback application may be different from the configuration parameter settings for the headphone, the above-mentioned fingerprint-based headphone parameter reloading system can be used to obtain the settings in the playback application, and then based on this, it is converted into the configuration parameters of the headphone and configured on the current headphone.

[0077] S211. Complete the login operation of the foreground playing application based on the corresponding application account data, and load the corresponding customized parameters into the foreground playing application.

[0078] In an embodiment of the present invention, the above-mentioned customized parameters may be parameters for specific configuration or adjustment of applications or devices according to specific needs and preferences of users. It is understandable that the content of the customized parameters may be consistent with the above-mentioned preset configuration parameters, except that the setting of the parameters corresponding to the content also needs to be adjusted according to the specific needs and preferences of users; the content of the customized parameters may also be inconsistent with the above-mentioned preset configuration parameters. For example, taking a music player application as an example, the customized parameters include the equalizer or playback style built into the music player application. Taking a game application as an example, the customized parameters include the player speaker volume, game character voice, game background sound or game special effect sound built into the game application. This is to realize the personalized automatic configuration of the foreground playback application according to different foreground playback applications and user information after collecting fingerprints through headphones.

[0079] In a possible embodiment, the fingerprint-based earphone parameter reloading system obtains the foreground playing application process of the mobile phone through the APP, and determines the user information through the target fingerprint data, thereby determining the customized parameters set in advance by the user in the foreground playing application.

[0080] S212: Obtain the sound playing characteristics of the foreground playing application in the preset application library.

[0081] The above-mentioned preset application library may include but is not limited to an APP program library that can be connected to the headset in this embodiment and configure parameter allocation and share application parameters through a fingerprint-based headset parameter reloading system.

[0082] The above-mentioned sound playback characteristics can be parameter information with the above-mentioned user-specific needs and adjustment characteristics, such as volume settings, sound quality adjustments, equalizer parameters and other information. It can be understood that the above-mentioned fingerprint-based headphone parameter reloading system can use these parameter information to optimize the audio output of the headphone.

[0083] S213: Adaptively modify the preset configuration parameters according to the sound playback characteristics.

[0084] In a possible embodiment, the fingerprint-based headphone parameter reloading system obtains the parameters set by the user in the foreground playback application, and converts them according to the obtained parameters to obtain corresponding sound playback characteristics, that is, the volume, balance configuration and other parameters when the user uses the foreground playback application, and configures them on the output of the headphone to ensure that the user always enjoys the best audio effect when switching seamlessly between different applications, reducing the need for manual adjustment and improving convenience.

[0085] like Figure 8 As shown, the embodiment of the present invention further provides a fingerprint-based earphone parameter reloading device 800, and the fingerprint-based earphone parameter reloading device includes: The first acquisition module 801 is used to acquire the fingerprint data currently recorded by the headset; A first determination module 802, configured to determine fingerprint feature data based on the fingerprint data, wherein the fingerprint feature data includes authorization feature data and / or age feature data; A second determination module 803, configured to determine whether the fingerprint data is target fingerprint data based on the authorization feature data; The reading module 804 is used to read the corresponding preset configuration parameters based on the target fingerprint data and / or age feature data to reload the parameters of the current headset.

[0086] Optionally, the first determining module 802 includes: A first acquisition submodule is used to identify the fingerprint data based on a preset fingerprint recognition algorithm to obtain fingerprint pattern feature data; The first determination submodule is used to determine the authorization feature data and age feature data of the input fingerprint based on the fingerprint pattern feature data.

[0087] Optionally, the above device further includes: A second acquisition module, used to acquire at least one new fingerprint data currently recorded by the headset; A third acquisition module is used to identify the new fingerprint data through a preset fingerprint recognition algorithm to obtain target fingerprint data; A generation module, used to generate a corresponding fingerprint ID based on the target fingerprint data; A construction module is used to construct an ID library corresponding to the target fingerprint data according to the corresponding fingerprint ID and the corresponding preset configuration parameters, wherein the ID library includes authorization feature data, age feature data, fingerprint ID and preset configuration parameters corresponding to the target fingerprint data.

[0088] Optionally, the second determining module 803 further includes: A search submodule is used to match and search the authorization feature data corresponding to the input fingerprint data through the authorization feature data in the ID library; A first matching submodule, for determining that the input fingerprint data is the target fingerprint data if the matching search is successful; The second matching submodule is used to determine that the input fingerprint data is new fingerprint data if the matching search is unsuccessful.

[0089] Optionally, the reading module 804 includes: The first reading submodule is used to read the ID library corresponding to the target fingerprint data if the entered fingerprint data is the target fingerprint data, obtain the preset configuration parameters in the ID library, and reload the parameters of the current headset according to the preset configuration parameters and the age feature data; The second reading submodule is used to adjust the default configuration parameters of the headset according to the age feature data if the entered fingerprint data is new fingerprint data, obtain adaptive configuration parameters, and reload the parameters of the current headset according to the adaptive configuration parameters.

[0090] Optionally, the above device further includes: A fourth acquisition module, used to acquire the foreground playback application and the corresponding application account data and customized parameters, wherein the application account data includes a user name and a key; A third determination module, configured to determine corresponding application account data according to the foreground playback application and the target fingerprint data; A first playback module, used to complete the login operation of the foreground playback application based on the corresponding application account data, and load the corresponding customized parameters in the foreground playback application; The second playback module is used to obtain the sound playback characteristics of the foreground playback application in the preset application library; The correction module is used to adaptively correct the preset configuration parameters according to the sound playing characteristics.

[0091] like Fig. 9 As shown, an embodiment of the present invention further provides an electronic device 900, including a processor, and the processor can execute any one of the above-mentioned fingerprint-based earphone parameter reloading methods.

[0092] Specifically, it includes a processor 901 and a memory 902, and a computer program for executing a fingerprint-based earphone parameter reloading method stored in the memory 902 and capable of running on the processor 901, wherein: The processor 901 runs the computer program of the fingerprint-based earphone parameter reloading method stored in the memory 902, and performs the following steps: Get the fingerprint data currently recorded by the headset; Based on the fingerprint data, determining fingerprint feature data, the fingerprint feature data including authorization feature data and / or age feature data; Based on the authorization feature data, determining whether the fingerprint data is target fingerprint data; Based on the target fingerprint data and / or age feature data, corresponding preset configuration parameters are read to reload the parameters of the current headset.

[0093] Optionally, the processor 901 performs the step of determining fingerprint feature data based on the fingerprint data, including: Based on a preset fingerprint recognition algorithm, the fingerprint data is recognized to obtain fingerprint pattern feature data; Based on the fingerprint pattern feature data, the authorization feature data and age feature data of the input fingerprint are determined.

[0094] Optionally, before the processor 901 executes the step of obtaining the fingerprint data currently recorded by the headset, the method further includes: Obtain at least one new fingerprint data currently recorded by the headset; The new fingerprint data is identified by a preset fingerprint identification algorithm to obtain target fingerprint data; Based on the target fingerprint data, generate a corresponding fingerprint ID; According to the corresponding fingerprint ID and the corresponding preset configuration parameters, an ID library corresponding to the target fingerprint data is constructed, and the ID library includes authorization feature data, age feature data, fingerprint ID and preset configuration parameters corresponding to the target fingerprint data.

[0095] Optionally, the processor 901 performs the step of determining whether the fingerprint data is target fingerprint data based on the authorization feature data, including: Through the authorization feature data in the ID library, the authorization feature data corresponding to the input fingerprint data is matched and searched; If the matching search is successful, the entered fingerprint data is determined to be the target fingerprint data; If the matching search is unsuccessful, the entered fingerprint data is determined to be new fingerprint data.

[0096] Optionally, the processor 901 executes the step of reading corresponding preset configuration parameters to reload parameters of the current headset based on the target fingerprint data and / or age feature data, including: If the entered fingerprint data is the target fingerprint data, the ID library corresponding to the target fingerprint data is read, the preset configuration parameters in the ID library are obtained, and the parameters of the current headset are reloaded according to the preset configuration parameters and the age feature data; If the entered fingerprint data is new fingerprint data, the default configuration parameters of the headset are adjusted according to the age feature data to obtain adaptive configuration parameters, and the parameters of the current headset are reloaded according to the adaptive configuration parameters.

[0097] Optionally, the processor 901 further executes the preset configuration parameters including volume level, speaker output gains, microphone input gains, noise reduction gains, left and right ear channel configuration data, user operation UI setting data, prompt tone language setting data and / or headphone environment mode, the headphone environment mode includes ANC mode, transparent mode, e-sports mode or normal mode, and the ID library also includes application account data and customized parameters of each playback application corresponding to the target fingerprint data; After reading the corresponding preset configuration parameters based on the target fingerprint data and / or age feature data to reload the parameters of the current headset, the method further includes: Obtain the foreground playback application and the corresponding application account data and customized parameters, wherein the application account data includes a user name and a key; Determine corresponding application account data according to the foreground playback application and the target fingerprint data; Complete the login operation of the foreground playback application based on the corresponding application account data, and load the corresponding customized parameters into the foreground playback application; Get the sound playing characteristics of the foreground playing application in the preset application library; The preset configuration parameters are adaptively modified according to the sound playing characteristics.

[0098] An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the various processes of the fingerprint-based headphone parameter reloading method or the fingerprint-based headphone parameter reloading method on the application side provided in the embodiment of the present invention are implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0099] Those skilled in the art can understand that the implementation of all or part of the processes in the above-mentioned embodiments is a program that can be completed by instructing related hardware through a computer program, and can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, the storage medium can be a disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM).

[0100] The above disclosure is only the preferred embodiment of the present invention, which certainly cannot be used to limit the scope of the present invention. Therefore, equivalent changes made according to the claims of the present invention are still within the scope of the present invention.

Claims

1. A method for reloading earphone parameters based on fingerprint, characterized in that: include: Get the fingerprint data currently recorded by the headset; Based on the fingerprint data, determining fingerprint feature data, the fingerprint feature data including authorization feature data and / or age feature data; Based on the authorization feature data, determining whether the fingerprint data is target fingerprint data; Based on the target fingerprint data and / or age feature data, corresponding preset configuration parameters are read to reload the parameters of the current headset.

2. The fingerprint-based earphone parameter reloading method according to claim 1, characterized in that: The step of determining fingerprint feature data based on the fingerprint data includes: Based on a preset fingerprint recognition algorithm, the fingerprint data is recognized to obtain fingerprint pattern feature data; Based on the fingerprint pattern feature data, the authorization feature data and age feature data of the input fingerprint are determined.

3. The fingerprint-based earphone parameter reloading method according to claim 1, characterized in that: Before obtaining the fingerprint data currently recorded by the headset, the method further includes: Obtain at least one new fingerprint data currently recorded by the headset; The new fingerprint data is identified by a preset fingerprint identification algorithm to obtain target fingerprint data; Based on the target fingerprint data, generate a corresponding fingerprint ID; According to the corresponding fingerprint ID and the corresponding preset configuration parameters, an ID library corresponding to the target fingerprint data is constructed, and the ID library includes authorization feature data, age feature data, fingerprint ID and preset configuration parameters corresponding to the target fingerprint data.

4. The fingerprint-based earphone parameter reloading method according to claim 3, characterized in that: The determining, based on the authorization feature data, whether the fingerprint data is target fingerprint data includes: Through the authorization feature data in the ID library, the authorization feature data corresponding to the input fingerprint data is matched and searched; If the matching search is successful, the entered fingerprint data is determined to be the target fingerprint data; If the matching search is unsuccessful, the entered fingerprint data is determined to be new fingerprint data.

5. The fingerprint-based earphone parameter reloading method according to claim 1, characterized in that: The step of reading corresponding preset configuration parameters based on the target fingerprint data and / or age feature data to reload the parameters of the current headset includes: If the entered fingerprint data is the target fingerprint data, the ID library corresponding to the target fingerprint data is read, the preset configuration parameters in the ID library are obtained, and the parameters of the current headset are reloaded according to the preset configuration parameters and the age feature data; If the entered fingerprint data is new fingerprint data, the default configuration parameters of the headset are adjusted according to the age feature data to obtain adaptive configuration parameters, and the parameters of the current headset are reloaded according to the adaptive configuration parameters.

6. The fingerprint-based earphone parameter reloading method according to claim 3, characterized in that: The preset configuration parameters include volume level, speaker output gains, microphone input gains, noise reduction gains, left and right ear channel configuration data, user operation UI setting data, prompt tone language setting data and / or headphone environment mode, the headphone environment mode includes ANC mode, transparent mode, e-sports mode or normal mode, and the ID library also includes application account data and customized parameters of each playback application corresponding to the target fingerprint data; After reading the corresponding preset configuration parameters based on the target fingerprint data and / or age feature data to reload the parameters of the current headset, the method further includes: Obtain the foreground playback application and the corresponding application account data and customized parameters, wherein the application account data includes a user name and a key; Determine corresponding application account data according to the foreground playback application and the target fingerprint data; Complete the login operation of the foreground playback application based on the corresponding application account data, and load the corresponding customized parameters into the foreground playback application; Get the sound playing characteristics of the foreground playing application in the preset application library; The preset configuration parameters are adaptively modified according to the sound playing characteristics.

7. A fingerprint-based earphone parameter reloading device, characterized in that: include: The first acquisition module is used to acquire the fingerprint data currently recorded by the headset; A first determination module, configured to determine fingerprint feature data based on the fingerprint data, wherein the fingerprint feature data includes authorization feature data and / or age feature data; A second determination module, used to determine whether the fingerprint data is target fingerprint data based on the authorization feature data; The reading module is used to read the corresponding preset configuration parameters based on the target fingerprint data and / or age feature data to reload the parameters of the current headset.

8. A fingerprint-based earphone parameter reloading system, characterized in that: The fingerprint-based earphone parameter reloading system comprises: an earphone parameter reloading device based on fingerprint; The fingerprint-based earphone parameter reloading device is determined by a fingerprint-based earphone parameter reloading method shown in claims 1-6.

9. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps in the fingerprint-based earphone parameter reloading method according to any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in the fingerprint-based earphone parameter reloading method according to any one of claims 1 to 6 are implemented.

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