Earphone control method and system based on intelligent sensing combination

Abstract

The invention relates to the technical field of earphones, in particular to an earphone control method and system based on intelligent sensing combination, and the method comprises the steps: collecting physical sign parameters; establishing a cloud data set; filtering the data; determining a standard range; comparing the first-level physical sign parameters with a standard range to judge whether the emotion of the user is a negative emotion or not, and if the emotion is the negative emotion, adjusting playing parameters; after the playing parameter adjustment is completed and the audio playing time reaches the preset time, judging whether the negative emotion of the user is changed or not according to the re-collected secondary physical sign parameters and the secondary physical sign parameters before the audio playing; and in response to the situation that the negative emotion of the user is not changed, correcting the standard range or superposing white noise in the audio file according to historical judgment data of the user. According to the method, the mood of the user is improved by generating the judgment standard of'private customization 'of the user, so that the earphone can be automatically adjusted according to the mood of the user in the audio playing process, and the comfort in the earphone using process is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of earphones, in particular to an earphone control method and system based on intelligent sensing combination. BACKGROUND

[0002] In recent years, with the development of smart wearable devices, earphones have evolved from single audio playback devices to health management terminals integrating biological sensing and artificial intelligence. In the prior art, some earphones attempt to identify user emotional states through heart rate, body temperature and other vital sign parameters, and adjust audio output accordingly. However, such solutions have significant limitations:

[0003] Insufficient data reliability: Vital sign parameters are easily affected by motion interference or individual differences (such as age, wearing state), and single parameter threshold determination is prone to misjudgment.

[0004] Intervention mechanism is rigid: Emotional regulation strategies are mostly static rules (such as fixed playback of soothing music), lacking closed-loop verification. If the adjustment is ineffective, the system cannot dynamically optimize the strategy, leading to a decline in user experience.

[0005] Privacy and individualization are lacking: User physiological data storage and use lack systematic management, and the standard range does not consider individual historical data, making it difficult to adapt to the emotional response characteristics of different users, resulting in poor actual experience for users.

[0006] Therefore, there is an urgent need for an intelligent earphone control solution that integrates multi-dimensional vital sign parameter dynamic analysis, closed-loop feedback regulation and privacy protection mechanism to address the issues of insufficient data reliability, rigid intervention mechanism and lack of privacy and individualization in the prior art, leading to poor actual experience for users. SUMMARY

[0007] The purpose of the present application is to provide an earphone control method and system based on intelligent sensing combination to solve the problem of insufficient data reliability, rigid intervention mechanism and lack of privacy and individualization in the prior art, leading to poor actual experience for users.

[0008] The present application provides an earphone control method based on intelligent sensing combination, comprising:

[0009] Collecting first-level vital sign parameters and second-level vital sign parameters of a user;

[0010] Filtering the first-level vital sign parameters and the second-level vital sign parameters according to a preset contradiction rule;

[0011] Establishing a cloud dataset for user privacy data and storing the privacy data, including first-level vital sign parameters, user age, user emotion and wearing state;

[0012] determine a standard range of the first-level sign parameter corresponding to the user under positive emotion according to the cloud dataset;

[0013] compare the first-level sign parameter with the standard range to determine whether the user emotion is negative emotion, and in response to the user emotion being negative emotion, select a default play mode according to the wearing state and adjust a play parameter of the earphone;

[0014] in response to completion of the play parameter adjustment and the audio play time reaching a preset time, determine whether the user negative emotion changes according to the second-level sign parameter re-acquired after the audio play and the second-level sign parameter before the audio play;

[0015] in response to the user negative emotion not changing, correct the standard range according to historical determination data of the user or superimpose white noise on the audio file.

[0016] As a preferred technical solution of the earphone control method based on intelligent sensing combination, the first-level sign parameter is a plurality of sign parameters with a response time less than a time threshold when the emotion changes;

[0017] The second-level sign parameter is a plurality of sign parameters with a response time greater than or equal to the time threshold when the emotion changes.

[0018] As a preferred technical solution of the earphone control method based on intelligent sensing combination, the preset conflict rule includes:

[0019] the first-level sign parameter and the second-level sign parameter have physiological logic conflict;

[0020] the first-level sign parameter and the user age are in conflict;

[0021] the first-level sign parameter or the second-level sign parameter and the wearing state are in conflict.

[0022] As a preferred technical solution of the earphone control method based on intelligent sensing combination, determining a standard range of the first-level sign parameter corresponding to the user under positive emotion according to the cloud dataset includes:

[0023] obtain historical determination data of a single sign parameter, exclude the maximum value and the minimum value, and calculate the average value of the remaining historical determination data;

[0024] determine an interval length corresponding to the determination standard according to the user age and the wearing state, wherein the interval length corresponding to the determination standard is the same as the interval length of the standard interval, and the average value of the remaining historical determination data is the midpoint of the interval corresponding to the determination standard;

[0025] repeat the above steps to obtain the standard range corresponding to each sign parameter under different wearing states.

[0026] The wearing state includes a static state and a motion state.

[0027] The standard range is a normal fluctuation range of the first vital sign parameter of a healthy population at the current user age and the wearing state.

[0028] As a preferred technical solution of the earphone control method based on intelligent sensing combination, the first vital sign parameter is compared with the standard range to determine whether the user emotion is a negative emotion, and in response to the fact that a parameter in the first vital sign parameter does not meet the standard range, it is determined that the user emotion is a negative emotion.

[0029] In response to the fact that all the first vital sign parameters meet the standard range, it is determined that the user emotion is a positive emotion.

[0030] As a preferred technical solution of the earphone control method based on intelligent sensing combination, in response to the fact that the user emotion is a negative emotion, a default play mode is selected according to the wearing state and the play parameter of the earphone is adjusted, which includes:

[0031] In response to the fact that the wearing state is a static state, the default play mode is a noise reduction mode, and the audio compression ratio is reduced according to the heart rate rise amplitude in the first vital sign parameter.

[0032] In response to the fact that the wearing state is a motion state, the default play mode is a transparent mode, and the low-frequency response is enhanced according to the motion amplitude.

[0033] As a preferred technical solution of the earphone control method based on intelligent sensing combination, the change of the second vital sign parameter before and after audio playing is determined to determine whether the user negative emotion changes, wherein:

[0034] The change amount of the second vital sign parameter before and after audio playing is calculated.

[0035] The weight value of each second vital sign parameter is determined.

[0036] The comprehensive emotion index is calculated according to the change amount and the weight value, the comprehensive emotion index is compared with a comprehensive emotion index threshold value, and it is determined whether the user negative emotion changes.

[0037] In response to the fact that the comprehensive emotion index is greater than or equal to the comprehensive emotion index threshold value, it is determined that the user negative emotion changes, and in response to the fact that the comprehensive emotion index is less than the comprehensive emotion index threshold value, it is determined that the user negative emotion does not change.

[0038] As a preferred technical scheme of the earphone control method based on intelligent sensing combination, in response to the fact that the negative emotion of the user does not change, a difference between the comprehensive emotion index threshold and the comprehensive emotion index is calculated, and a processing mode for the fact that the negative emotion of the user does not change is determined according to the difference between the comprehensive emotion index threshold and the comprehensive emotion index, wherein:

[0039] In response to the fact that the difference between the comprehensive emotion index threshold and the comprehensive emotion index is greater than a difference threshold, a preset number of historical judgment data are selected, the maximum value and the minimum value are excluded, and the average value is recalculated, so that the standard range is updated with the original interval length.

[0040] In response to the fact that the difference between the comprehensive emotion index threshold and the comprehensive emotion index is less than or equal to the difference threshold, a specific frequency wideband noise is mixed into the audio main track.

[0041] The application also provides an earphone control system based on intelligent sensing combination, comprising:

[0042] The detection module collects the first-level sign parameters and the second-level sign parameters of the user.

[0043] The data processing module filters the privacy data in the cloud data set according to a preset contradiction rule.

[0044] The storage module establishes the cloud data set about the privacy data of the user and stores the privacy data, and the privacy data comprises the first-level sign parameters, the age of the user, the emotion of the user and the wearing state.

[0045] The standard module determines the standard range of the first-level sign parameters corresponding to the positive emotion of the user according to the cloud data set.

[0046] The first-level analysis module compares the first-level sign parameters with the standard range to determine whether the emotion of the user is negative, and adjusts the playing parameters of the earphone in response to the fact that the emotion of the user is negative.

[0047] The second-level analysis module determines whether the negative emotion of the user changes according to the second-level sign parameters re-collected after the adjustment of the playing parameters is completed and the audio playing time reaches a preset time and the second-level sign parameters before the audio playing.

[0048] The correction module corrects the standard range according to the historical judgment data of the user or superimposes white noise in the audio file in response to the fact that the negative emotion of the user does not change.

[0049] As a preferred technical scheme of the earphone control system based on intelligent sensing combination, the analysis module is further used to analyze whether the user emotion change has a cycle according to the historical judgment data stored in the storage module, and if the cycle exists, each operating parameter is adjusted to the corresponding value according to the average value of each parameter in the cycle in the historical judgment data.

[0050] Compared with the prior art, the present application has the beneficial effects that by collecting the primary sign parameters and the secondary sign parameters, the data is stored in the form of privacy data after being filtered according to the contradiction rule, each group of data corresponds to the primary sign parameters, the user age, the user emotion and the wearing state, so that the corresponding standard range of the user emotion can be determined according to the privacy data, the "private customization" judgment standard of the user is generated, the emotion of the user is judged according to the primary sign parameters when the user wears, the default play mode is selected and the play parameters are adjusted according to the emotion of the user, when the emotion of the user is a negative emotion, whether the emotion of the user changes is judged based on the secondary sign parameters, the standard range is modified or white noise is superimposed according to the judgment result, and the emotion of the user is improved, so that the earphone can be automatically adjusted according to the emotion of the user during the audio play process, and the comfort degree during the earphone use process is increased. BRIEF DESCRIPTION OF DRAWINGS

[0051] Figure 1 The step flow chart of the earphone control method based on intelligent sensing combination of the embodiment of the present application is shown in the figure.

[0052] Figure 2 The structure block diagram of the earphone control system based on intelligent sensing combination of the embodiment of the present application is shown in the figure. DETAILED DESCRIPTION

[0053] The features and exemplary embodiments of various aspects of the present application will be described in detail below, in order to make the purposes, technical solutions and advantages of the present application more clear and apparent, the present application will be further described in detail below in combination with the drawings and specific embodiments. It should be understood that the specific embodiments described herein are only intended to explain the present application, but not to limit the present application. The present application can be implemented without some of these specific details by those skilled in the art. The following description of the embodiments is only to provide a better understanding of the present application by showing examples of the present application.

[0054] It is to be noted that, in the present document, relational terms such as first and second and the like can be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises", "comprising", or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can include other elements not expressly listed or inherent to such process, method, article, or apparatus. An element proceeded by "comprises... a" does not, without more constraints, exclude the presence of additional identical elements in the process, method, article, or apparatus that comprises the element.

[0055] Referring to Figure 1 As shown in the figure, it is a step flow chart of the earphone control method based on intelligent sensing combination according to the embodiment of the present application, which comprises:

[0056] Step S1, collecting the first-level sign parameter and the second-level sign parameter of the user;

[0057] Step S2, filtering the first-level sign parameter and the second-level sign parameter according to the preset contradiction rule;

[0058] Step S3, establishing the cloud data set about the user privacy data and storing the privacy data, the privacy data comprising the first-level sign parameter, the user age, the user emotion and the wearing state;

[0059] Step S4, determining the standard range of the first-level sign parameter corresponding to the positive emotion of the user according to the cloud data set;

[0060] Step S5, comparing the first-level sign parameter with the standard range to determine whether the user emotion is a negative emotion, and in response to the user emotion being a negative emotion, selecting a default playing mode according to the wearing state and adjusting the playing parameter of the earphone;

[0061] Step S6, in response to the completion of the playing parameter adjustment and the audio playing time reaching the preset time, determining whether the negative emotion of the user changes according to the second-level sign parameter re-collected and the second-level sign parameter before the audio playing;

[0062] Step S7, in response to the negative emotion of the user not changing, modifying the standard range according to the historical determination data of the user or superimposing white noise in the audio file.

[0063] In detail, by collecting the first-level sign parameters of the user, in combination with the age and wearing state of the user, the standard range for the emotion determination of the specific user is determined, so that in the subsequent wearing process, the emotion of the user when wearing the earphone is determined according to the first-level sign parameters of the user, the default playing mode is selected according to the emotion of the user, and the playing parameters are adjusted, when the emotion of the user is a negative emotion, whether the emotion of the user changes is determined based on the second-level sign parameters, the standard range is corrected or superimposed with white noise according to the determination result, and the emotion of the user is improved, so that the earphone can automatically adjust according to the emotion of the user during the playing of the audio, and the comfort degree during the use of the earphone is increased.

[0064] In detail, the first-level sign parameters are a plurality of sign parameters whose response time is less than a time threshold when the emotion changes;

[0065] The second-level sign parameters are a plurality of sign parameters whose response time is greater than or equal to the time threshold when the emotion changes.

[0066] In detail, different sign parameters of a person have different response times when the emotion changes, for example, the heart rate, action amplitude and the like can respond within 200 ms as the emotion changes, and the sign parameters such as body temperature will respond after a series of biochemical reactions caused by the change of the emotion, and the response time can be more than 2 s, preferably, the value of the time threshold is 200 ms, the first-level sign parameters include the heart rate, speech speed, action amplitude and the like, and the second-level sign parameters include the body temperature, blood pressure, breathing frequency and the like.

[0067] Further, the heart rate change, speech speed, action amplitude and the like can quickly reflect the emotional fluctuation within a few seconds, and the blood pressure, breathing amplitude and the like need to be reflected for a period of time to reflect the stable trend, the earphone and the bracelet cooperate to collect and refine the emotion monitoring dimension, so that the system can judge the emotional fluctuation in stages according to different physiological reaction characteristics, so that the earphone can automatically adjust the playing parameters according to the emotion of the user during the playing of the audio, and the comfort degree during the use of the earphone is increased.

[0068] Specifically, the preset contradiction rule includes:

[0069] The first-level sign parameters and the second-level sign parameters have physiological logical conflicts;

[0070] The first-level sign parameters are in conflict with the age of the user;

[0071] The first-level sign parameters or the second-level sign parameters are in conflict with the wearing state;

[0072] In response to the satisfaction of the preset contradiction rule, the set of data is deleted, and an abnormality notification is issued.

[0073] In detail, the preset contradictory conflict rule is determined based on medical consensus (such as heart rate should not be significantly increased when body temperature is too low), Clinical Physiology Guidelines and other related standards. In the embodiment of the present application, there is a physiological logic conflict between the first-level sign parameter and the second-level sign parameter, including: in a non-movement state, heart rate > 120 beats / min and body temperature < 36℃, speech speed > 5 words / sec and respiratory rate < 8 times / min, action amplitude duration > a preset threshold and blood pressure < 90 / 60 mmHg.

[0074] The sign parameter conflicts with the medical common sense range of the user's age, including: the resting heart rate of a user aged ≤12 years is >100 beats / min for 10 minutes, and the blood pressure of a user aged ≥60 years is >180 / 110 mmHg in a movement state.

[0075] The sign parameter conflicts with the wearing state, including: the action amplitude sensor continuously outputs >3G acceleration value in a static state, and the body temperature sensor changes ≤0.1℃ within 1 hour in a movement state.

[0076] In detail, the contradictory conflict rule is set through related standards, so that when the sensor has a fault, the inconsistent physiological data can be filtered in time through the set contradictory rule, preventing abnormal data from interfering with the judgment, ensuring the reliability and robustness of the emotion determination, so that the earphone can accurately automatically adjust the playing parameters according to the user's emotion during the playing of audio, increasing the comfort during the use of the earphone.

[0077] Further, the standard range of the first-level sign parameter corresponding to the user in a positive emotion is determined according to a cloud data set, including:

[0078] The historical determination data of a single sign parameter is obtained, the maximum value and the minimum value are excluded, and the average value of the remaining historical determination data is calculated;

[0079] The interval corresponding to the determination standard is determined according to the user's age and the wearing state, wherein: the interval length corresponding to the determination standard is the same as the interval length of the standard interval, and the average value of the remaining historical determination data is the midpoint of the interval corresponding to the determination standard;

[0080] The above steps are repeated to obtain the standard range corresponding to each sign parameter in different wearing states;

[0081] Wherein: the wearing state includes: a static state and a movement state;

[0082] The standard interval is a normal fluctuation interval of a first-level physical parameter of a healthy population under a current user age and wearing state; the value of the standard interval is determined by a group research manner, and defines a physiological constant fluctuation interval of a healthy population under a specific condition, for example, a “resting heart rate reference range of different age groups” published by the World Health Organization (WHO) through global research, and an “age and exercise intensity corresponding heart rate table” formulated by the American College of Sports Medicine (ACSM), etc., all belong to a determination process of the standard interval, and will not be described herein.

[0083] In detail, the present application dynamically generates a standard range by taking an average after extreme values of historical data, and combining age and wearing state, realizes individualization and adaptive update of the emotion standard, reduces the influence of individual differences on determination, avoids that data in a bad mood has a great influence on the determination standard, and the value range is also a range referred to the existing standard, conforms to the law of human physical parameters, the selected standard is effective, ensures the reliability and robustness of emotion determination, so that the earphone can accurately adjust the playing parameters according to the user's mood during playing audio, and increase the comfort during using the earphone.

[0084] Specifically, the first-level physical parameter is compared with the standard range to determine whether the user's mood is a negative mood, in response to the fact that there is a parameter in the first-level physical parameter that does not meet the standard range, it is determined that the user's mood is a negative mood;

[0085] In response to the fact that all the first-level physical parameters meet the standard range, it is determined that the user's mood is a positive mood.

[0086] In detail, through the previous preset conflict rules, abnormal data that does not conform to the physiological condition has been excluded, so that as long as there is an abnormality in the first-level physical parameter, it is determined that the mood is negative, which provides a basis for determination, reduces misjudgment, ensures that mood abnormalities are discovered in time, ensures the reliability and robustness of emotion determination, so that the earphone can accurately adjust the playing parameters according to the user's mood during playing audio, and increase the comfort during using the earphone.

[0087] Further, in response to the fact that the user's mood is a negative mood, a default playing mode is selected according to the wearing state and the playing parameters of the earphone are adjusted, including:

[0088] In response to the fact that the wearing state is a static state, the default playing mode is a noise reduction mode, the noise reduction depth is increased to 30dB or more, and the audio compression ratio is reduced according to the heart rate rise in the first-level physical parameter;

[0089] In response to the fact that the wearing state is a motion state, the default playing mode is a transparent mode and the environmental sound gain is set to +15dB, the low frequency response of 80-150Hz is enhanced according to the motion amplitude, and the frequency band is increased by 3-6dB.

[0090] Further, the enhancing of the low frequency response of 80-150 Hz according to the motion amplitude further comprises establishing a mapping relationship between the motion amplitude value and the frequency boosting value;

[0091] The mapping relationship satisfies that the greater the motion amplitude, the greater the frequency boosting value, and a single motion amplitude corresponds to a single frequency boosting value. The setting of the mapping relationship can satisfy the above requirements, and thus will not be described here.

[0092] In implementation, when the wearing state is a static state, the noise reduction mode is enabled and the heart rate is detected. If the heart rate is high, the audio compression ratio is reduced to make the sound quality softer. If the motion state detects a large motion, the low frequency band of 80-150 Hz is enhanced to improve the rhythm. The adjustment process of the audio compression ratio is a prior art, and thus will not be described here.

[0093] Further, whether the negative emotion of the user changes or not is determined according to the change of the secondary sign parameter before and after the audio is played, wherein:

[0094] The change amount of the secondary sign parameter before and after the audio is played is calculated;

[0095] The weight value of each secondary sign parameter is determined;

[0096] The comprehensive emotion index is calculated according to the change amount and the weight value, and whether the negative emotion of the user changes or not is determined according to the comparison between the comprehensive emotion index and the comprehensive emotion index threshold;

[0097] In response to the comprehensive emotion index being greater than or equal to the comprehensive emotion index threshold, it is determined that the negative emotion of the user changes. In response to the comprehensive emotion index being less than the comprehensive emotion index threshold, it is determined that the negative emotion of the user does not change.

[0098] In detail, the values of different sign parameters can be determined according to experience, the change amplitude of different sign parameters when the emotion changes, etc. The present application integrates multiple secondary sign changes into a single index to determine the emotion change through the weighted comprehensive emotion index, avoids the distortion of the judgment caused by the error of a single parameter, calculates the comprehensive emotion index according to the difference before and after the playing, and considers the intervention effective if the index reaches the threshold, so as to ensure the reliability and robustness of the emotion determination. Thus, the earphone can accurately adjust the playing parameters according to the user emotion during the playing of the audio, and increase the comfort during the use of the earphone.

[0099] Further, in response to the negative emotion of the user not changing, the difference between the comprehensive emotion index threshold and the comprehensive emotion index is calculated, and the processing mode for the negative emotion of the user not changing is determined according to the difference between the comprehensive emotion index threshold and the comprehensive emotion index, wherein:

[0100] In response to the difference between the comprehensive emotion index threshold value and the comprehensive emotion index being greater than the difference threshold value, a preset number of historical determination data are selected, the maximum value and the minimum value are excluded, and the average value is recalculated to update the standard range with the original interval length.

[0101] In response to the difference between the comprehensive emotion index threshold value and the comprehensive emotion index being less than or equal to the difference threshold value, a specific frequency wideband noise is mixed into the audio main track.

[0102] Further, the difference threshold value is determined according to the privacy data, different comprehensive emotion indexes of the user in different emotional states are determined, preferably, the difference threshold value is 0.15, when the difference between the comprehensive emotion index threshold value and the comprehensive emotion index is greater than 0.15, it indicates that the current determination standard deviates from the actual state of the user seriously, the dynamic range is corrected, and the standard range is updated with the original interval length to ensure the physiological rationality, when the difference between the comprehensive emotion index threshold value and the comprehensive emotion index is less than or equal to 0.15, fine tuning is determined, the frequency coverage (20Hz-20kHz) of the white noise stimulates the autonomic nervous system response to ensure the reliability and robustness of the emotion determination, so that the earphone can accurately adjust the playing parameters according to the user's emotion during playing audio, and increase the comfort during using the earphone.

[0103] In detail, the analysis module is also used to analyze whether the user's emotional change has a cycle according to the historical determination data stored in the storage module, if there is a cycle, each operating parameter is adjusted to the corresponding value in advance according to the average value of each parameter in the cycle in the historical determination data.

[0104] In detail, the superposition mode of the white noise includes: mixing a specific frequency wideband noise into the audio main track, the frequency range of the white noise is 20Hz to 20kHz, the superposition ratio is continuously adjusted, and the superposition ratio with the largest change of the two-level sign parameter before and after audio playing is selected.

[0105] Further, the embodiment of the present application also provides a earphone control system based on intelligent sensing combination, comprising:

[0106] The detection module acquires the first-level sign parameter and the second-level sign parameter of the user;

[0107] The data processing module filters the privacy data in the cloud data set according to a preset contradiction rule;

[0108] The storage module establishes a cloud data set about the user privacy data and stores the privacy data, and the privacy data includes: the first-level sign parameter, the user age, the user emotion and the wearing state;

[0109] a standard module configured to determine a standard range of a first-level sign parameter corresponding to the user under positive emotion according to a cloud dataset;

[0110] a first-level analysis module configured to compare the first-level sign parameter with the standard range to determine whether the user emotion is negative emotion, and adjust a playing parameter of the earphone in response to the user emotion being negative emotion;

[0111] a second-level analysis module configured to determine whether the user negative emotion has changed according to the second-level sign parameter re-acquired after the playing parameter adjustment is completed and the audio playing time reaches a preset time and the second-level sign parameter before the audio playing;

[0112] a correction module configured to correct the standard range according to historical determination data of the user or superimpose white noise in the audio file in response to the user negative emotion not having changed.

[0113] Further, the analysis module is also configured to analyze whether the user emotion change has a cycle according to the historical determination data stored in the storage module, and if the cycle exists, adjust each operating parameter to a corresponding value in advance according to the average value of each parameter in the cycle in the historical determination data.

[0114] Obviously, the above embodiments of the present application are merely examples for clear illustration of the present application, and are not intended to limit the embodiments of the present application. Based on the above description, other different forms of changes or variations can be made by those skilled in the art. Here, it is not necessary and impossible to enumerate all the embodiments. Any modification, equivalent replacement and improvement made within the spirit and principle of the present application shall be included in the protection scope of the claims of the present application.

Claims

1. A headphone control method based on intelligent sensing, characterized in that: include: Collect the user's primary and secondary vital sign parameters; Filtering the primary vital sign parameters and the secondary vital sign parameters according to a preset contradiction rule; Establish a cloud data set about user privacy data and store the privacy data, including: primary vital sign parameters, user age, user mood and wearing status; Determining a standard range of the primary vital sign parameters corresponding to the user's positive emotions based on the cloud data set; comparing the primary vital sign parameter with the standard range to determine whether the user's emotion is negative, and in response to the user's emotion being negative, selecting a default playback mode and adjusting playback parameters of the earphones according to the wearing state; In response to the completion of the adjustment of the playback parameters and the reaching of the preset audio playback time, determining whether the user's negative emotions have changed based on the re-collected secondary vital sign parameters and the secondary vital sign parameters before the audio playback; In response to the user's negative emotion not changing, the standard range is modified according to the user's historical judgment data or white noise is superimposed in the audio file.

2. The headphone control method based on intelligent sensing according to claim 1, characterized in that: The first-level physical sign parameters are multiple physical sign parameters whose response time is less than a time threshold when the emotion changes; The secondary vital sign parameters are multiple vital sign parameters whose response time is greater than or equal to the time threshold when the emotion changes.

3. The headphone control method based on intelligent sensing according to claim 2, characterized in that: The preset contradiction rules include: There is a physiological logic conflict between the primary vital sign parameter and the secondary vital sign parameter; The first-level physical sign parameters are inconsistent with the user's age; The primary vital sign parameter or the secondary vital sign parameter conflicts with the wearing status.

4. The headphone control method based on intelligent sensing according to claim 1, characterized in that: Determining the standard range of the primary vital sign parameters corresponding to the user's positive emotions based on the cloud data set includes: Obtain historical judgment data of a single vital sign parameter, exclude the maximum and minimum values, and calculate the average value of the remaining historical judgment data; The length of the interval corresponding to the judgment standard is determined based on the user's age and wearing status. The length of the interval corresponding to the judgment standard is the same as the length of the standard interval, and the average value of the remaining historical judgment data is the midpoint of the interval corresponding to the judgment standard; Repeat the above steps to obtain the standard range corresponding to each vital sign parameter in different wearing states; Wherein: the wearing state includes: static state and motion state; The standard range is the normal fluctuation range of the primary vital sign parameters for healthy people under the current user age and wearing status.

5. The headphone control method based on intelligent sensing according to claim 1, characterized in that: comparing the primary vital sign parameters with the standard range to determine whether the user's emotion is a negative emotion, and in response to a parameter in the primary vital sign parameters not meeting the standard range, determining that the user's emotion is a negative emotion; In response to the first-level vital sign parameters all satisfying the standard range, it is determined that the user's emotion is a positive emotion.

6. The headphone control method based on intelligent sensing according to claim 5, characterized in that: In response to the user's negative emotion, selecting a default playback mode and adjusting playback parameters of the headset according to the wearing state include: In response to the wearing state being in a stationary state, the default playback mode is the noise reduction mode, and the audio compression ratio is reduced according to the heart rate increase amplitude in the primary vital sign parameter; In response to the wearing state being in motion, the default playback mode is transparency mode, which enhances the low-frequency response according to the amplitude of the movement.

7. The headphone control method based on intelligent sensing according to claim 1, characterized in that: The method of determining whether the user's negative emotions have changed based on the changes in the secondary vital sign parameters before and after the audio playback is performed is as follows: Calculate the changes in the secondary vital sign parameters before and after audio playback; Determining the weight value of each of the secondary vital sign parameters; Calculating a comprehensive emotion index based on the change amount and the weight value, and comparing the comprehensive emotion index with a comprehensive emotion index threshold to determine whether the user's negative emotion has changed; In response to the comprehensive emotion index being greater than or equal to the comprehensive emotion index threshold, it is determined that the user's negative emotion has changed; in response to the comprehensive emotion index being less than the comprehensive emotion index threshold, it is determined that the user's negative emotion has not changed.

8. The headphone control method based on intelligent sensing according to claim 7, characterized in that: In response to the user's negative emotion not changing, calculating the difference between the comprehensive emotion index threshold and the comprehensive emotion index, and determining a processing method for the user's negative emotion not changing based on the difference between the comprehensive emotion index threshold and the comprehensive emotion index, wherein: In response to the difference between the comprehensive emotion index threshold and the comprehensive emotion index being greater than the difference threshold, selecting a preset number of historical determination data, excluding a maximum value and a minimum value, and recalculating an average value, and updating the standard range with the original interval length; In response to a difference between the comprehensive emotion index threshold and the comprehensive emotion index being less than or equal to the difference threshold, broadband noise of a specific frequency is mixed into the audio main track.

9. An earphone control system based on intelligent sensing, used to implement the earphone control method based on intelligent sensing according to any one of claims 1 to 8, characterized in that: include: Detection module, collecting the user's primary and secondary vital sign parameters; A data processing module, filtering the privacy data in the cloud data set according to preset contradiction rules; The storage module establishes a cloud data set about the user's private data and stores the private data. The private data includes: primary vital sign parameters, user age, user emotions, and wearing status; A standard module, which determines the standard range of the primary vital sign parameters corresponding to the user's positive emotions based on the cloud data set; a primary analysis module, comparing the primary vital sign parameter with the standard range to determine whether the user's emotion is negative, and adjusting the playback parameters of the earphone in response to the user's emotion being negative; a secondary analysis module, in response to the completion of the adjustment of the playback parameters and the reaching of the preset audio playback time, determining whether the user's negative emotions have changed based on the re-collected secondary vital sign parameters and the secondary vital sign parameters before the audio playback; The correction module corrects the standard range or superimposes white noise in the audio file according to the user's historical judgment data in response to the user's negative emotion not changing.

10. The headphone control system based on intelligent sensing according to claim 9, characterized in that: The analysis module is also used to analyze whether there is a cycle in the user's emotional changes based on the historical judgment data stored in the storage module. If there is a cycle, each operating parameter is adjusted to a corresponding value in advance based on the average value of each parameter in the cycle in the historical judgment data.

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