CN117998245A - Vibration intervention method and device of bone conduction earphone, bone conduction earphone and medium - Google Patents
Vibration intervention method and device of bone conduction earphone, bone conduction earphone and medium Download PDFInfo
- Publication number
- CN117998245A CN117998245A CN202311743820.5A CN202311743820A CN117998245A CN 117998245 A CN117998245 A CN 117998245A CN 202311743820 A CN202311743820 A CN 202311743820A CN 117998245 A CN117998245 A CN 117998245A
- Authority
- CN
- China
- Prior art keywords
- vibration
- intervention
- real
- bone conduction
- time
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 210000000988 bone and bone Anatomy 0.000 title claims abstract description 119
- 238000000034 method Methods 0.000 title claims abstract description 54
- 230000035790 physiological processes and functions Effects 0.000 claims abstract description 124
- 238000012544 monitoring process Methods 0.000 claims abstract description 112
- 230000008451 emotion Effects 0.000 claims abstract description 34
- 230000002996 emotional effect Effects 0.000 claims description 65
- 238000003062 neural network model Methods 0.000 claims description 3
- 230000001276 controlling effect Effects 0.000 description 21
- 230000006870 function Effects 0.000 description 13
- 238000010586 diagram Methods 0.000 description 11
- 238000000605 extraction Methods 0.000 description 10
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 9
- 238000004422 calculation algorithm Methods 0.000 description 9
- 229910052760 oxygen Inorganic materials 0.000 description 9
- 239000001301 oxygen Substances 0.000 description 9
- 239000008280 blood Substances 0.000 description 7
- 210000004369 blood Anatomy 0.000 description 7
- 238000004590 computer program Methods 0.000 description 7
- 239000006185 dispersion Substances 0.000 description 6
- 230000004927 fusion Effects 0.000 description 5
- 230000000694 effects Effects 0.000 description 4
- 238000003909 pattern recognition Methods 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 230000002159 abnormal effect Effects 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 230000036651 mood Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 239000007787 solid Substances 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000007635 classification algorithm Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000013135 deep learning Methods 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000007500 overflow downdraw method Methods 0.000 description 1
- 230000004962 physiological condition Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 238000012706 support-vector machine Methods 0.000 description 1
Landscapes
- User Interface Of Digital Computer (AREA)
Abstract
The application relates to a vibration intervention method and device of a bone conduction earphone, the bone conduction earphone and a medium, and in particular relates to the technical field of intelligent equipment. The method comprises the following steps: acquiring real-time physiological state monitoring data of a user; monitoring whether the real-time physiological state monitoring data meets a preset intervention condition; and controlling the vibration unit of the bone conduction earphone to vibrate in an intervention vibration mode under the condition that the real-time physiological state monitoring data meets the intervention condition, wherein the intervention vibration mode is matched with the current physiological state and/or the emotion state of the user and is used for generating vibration tactile feedback to intervene in influencing the physiological state and/or the emotion state of the user. Based on the technical scheme provided by the application, the bone conduction earphone is used for performing forward vibration touch intervention for the user, and a vibration touch intervention function based on physiological state monitoring data is provided for the user.
Description
Technical Field
The invention relates to the technical field of intelligent equipment, in particular to a vibration intervention method and device of a bone conduction earphone, the bone conduction earphone and a medium.
Background
Bone conduction is a conduction mode using solid sound transmission, i.e., sound is converted into mechanical vibration by a vibration unit, and sound waves are transmitted through the mechanical vibration. The bone conduction earphone is a listening device using the bone conduction mode.
Generally, the bone conduction earphone only has a listening function, and cannot provide a rich functional experience for a user.
Disclosure of Invention
The application provides a vibration intervention method and device of a bone conduction earphone, the bone conduction earphone and a medium.
In one aspect, a method of vibration intervention of a bone conduction headset is provided, the method comprising:
Acquiring real-time physiological state monitoring data of a user;
monitoring whether the real-time physiological state monitoring data meets a preset intervention condition;
controlling a vibration unit of the bone conduction earphone to vibrate in a first intervention vibration mode under the condition that the real-time physiological state monitoring data does not belong to a conventional threshold range, wherein the first intervention vibration mode is used for prompting the user to adjust the physiological state through vibration tactile feedback;
Assessing a real-time emotional state of the user based on the real-time physiological state monitoring data; in the case that the real-time emotional state does not belong to a forward emotional state, after controlling the vibration unit of the bone conduction headset to vibrate in a first intervention vibration mode, controlling the vibration unit of the bone conduction headset to vibrate in a second intervention vibration mode for dredging the emotional state of the user through vibrotactile feedback.
In yet another aspect, a vibration intervention device for a bone conduction headset is provided, the device comprising:
The data monitoring module is used for acquiring real-time physiological state monitoring data of the user;
The intervention judgment module is used for monitoring whether the real-time physiological state monitoring data meet preset intervention conditions or not;
The intervention execution module is used for controlling the vibration unit of the bone conduction earphone to vibrate in a first intervention vibration mode under the condition that the real-time physiological state monitoring data do not belong to the conventional threshold range, and the first intervention vibration mode is used for prompting the user to adjust the physiological state through vibration tactile feedback;
The intervention execution module is further used for evaluating the real-time emotion state of the user based on the real-time physiological state monitoring data; in the case that the real-time emotional state does not belong to a forward emotional state, after controlling the vibration unit of the bone conduction headset to vibrate in a first intervention vibration mode, controlling the vibration unit of the bone conduction headset to vibrate in a second intervention vibration mode for dredging the emotional state of the user through vibrotactile feedback.
In yet another aspect, a bone conduction headset is provided, where the bone conduction headset includes a processor and a memory, where the memory stores at least one instruction, at least one program, a code set, or an instruction set, and the at least one instruction, the at least one program, the code set, or the instruction set is loaded and executed by the processor to implement the vibration intervention method of the bone conduction headset.
In yet another aspect, a computer readable storage medium having stored therein at least one instruction, at least one program, code set, or instruction set loaded and executed by a processor to implement the method of vibration intervention of a bone conduction headset described above is provided.
In yet another aspect, a computer program product or computer program is provided, the computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer readable storage medium and executes the computer instructions to cause the computer device to perform the vibration intervention method of the bone conduction headset described above.
The technical scheme provided by the application can comprise the following beneficial effects:
Acquiring real-time physiological state monitoring data of a user, monitoring whether the real-time physiological state monitoring data meets preset intervention conditions, and controlling a vibration unit of the bone conduction earphone to vibrate in an intervention vibration mode under the condition that the real-time physiological state monitoring data meets the intervention conditions, wherein the intervention vibration mode is used for influencing the physiological state and/or the emotional state of the user through touch generated by vibration on a human body; and the bone conduction earphone is used for performing forward vibrotactile intervention on a user, so that a vibrotactile intervention function based on physiological state monitoring data is provided for the user.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present application, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
Fig. 1 is a method flow diagram illustrating a method of vibration intervention of a bone conduction headset, according to an exemplary embodiment.
Fig. 2 is a method flow diagram illustrating a method of vibration intervention of a bone conduction headset, according to an exemplary embodiment.
Fig. 3 is a method flow diagram illustrating a method of vibration intervention of a bone conduction headset, according to an exemplary embodiment.
Fig. 4 is a schematic diagram illustrating an algorithm for identifying emotional states, according to an example embodiment.
Fig. 5 is a block diagram illustrating a structure of a vibration intervention device of a bone conduction headset according to an exemplary embodiment.
Fig. 6 is a schematic diagram of a computer device provided in accordance with an exemplary embodiment.
Detailed Description
The following description of the embodiments of the present application will be made apparent and fully in view of the accompanying drawings, in which some, but not all embodiments of the application are shown. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
It should be understood that the "indication" mentioned in the embodiments of the present application may be a direct indication, an indirect indication, or an indication having an association relationship. For example, a indicates B, which may mean that a indicates B directly, e.g., B may be obtained by a; it may also indicate that a indicates B indirectly, e.g. a indicates C, B may be obtained by C; it may also be indicated that there is an association between a and B.
In the description of the embodiments of the present application, the term "corresponding" may indicate that there is a direct correspondence or an indirect correspondence between the two, or may indicate that there is an association between the two, or may indicate a relationship between the two and the indicated, configured, etc.
In the embodiment of the present application, the "predefining" may be implemented by pre-storing corresponding codes, tables or other manners that may be used to indicate relevant information in devices (including, for example, terminal devices and network devices), and the present application is not limited to the specific implementation manner thereof.
In the related art, the bone conduction earphone generally has only a listening function, and cannot provide a rich functional experience for a user.
In view of the above drawbacks, embodiments of the present application provide a bone conduction headset capable of monitoring a physiological state (such as heart rate) of a user, and providing a positive vibrotactile intervention to the user based on the monitored situation, so as to solve the problem that the function of the bone conduction headset in the related art is relatively single. The technical scheme provided by the application is further described below.
Fig. 1 is a method flow diagram illustrating a method of vibration intervention of a bone conduction headset, according to an exemplary embodiment. The method is applied to the bone conduction earphone. As shown in fig. 1, the vibration intervention method of the bone conduction headset may include the steps of:
step 110: real-time physiological state monitoring data of a user is obtained.
Wherein the real-time physiological state monitoring data is monitoring data for the user output by the physiological state sensor in real time.
In the embodiment of the application, the physiological state of the user is monitored through the physiological characteristic acquisition sensor, and the bone conduction earphone acquires real-time physiological state monitoring data output by the physiological characteristic acquisition sensor.
It will be appreciated that embodiments of the present application are not limited in the number, type of physiological characteristic acquisition sensors, i.e., the real-time physiological condition monitoring data may be monitoring data of one or more properties. Specifically, the physiological characteristic acquisition sensor includes, but is not limited to, at least one of: a heart rate sensor, a blood oxygen sensor, and a bioimpedance sensor; accordingly, the monitoring data includes, but is not limited to, at least one of: heart rate, blood oxygen, bioimpedance.
It is understood that the physiological characteristic acquisition sensor may be disposed within the structure of the bone conduction headset; the physiological characteristic acquisition sensor can also be a device separated from the bone conduction earphone, the bone conduction earphone can directly receive the real-time physiological state monitoring data acquired by the external physiological characteristic acquisition sensor, and also can receive the real-time physiological state monitoring data acquired by the external physiological characteristic acquisition sensor forwarded by the terminal equipment (such as a mobile phone).
Step 120: and monitoring whether the real-time physiological state monitoring data meets the preset intervention condition.
The intervention condition is a judging condition for judging whether to use the bone conduction earphone for tactile intervention. The details of the intervention conditions are further described in the examples below.
In the embodiment of the application, the bone conduction earphone is pre-provided with the intervention condition in advance, and after the real-time physiological state monitoring data is acquired, the real-time physiological state monitoring data can be compared with the intervention condition to judge whether the intervention condition is met.
Step 130: and under the condition that the real-time physiological state monitoring data meets the intervention condition, controlling the vibration unit of the bone conduction earphone to vibrate in an intervention vibration mode, wherein the intervention vibration mode is matched with the current physiological state and/or the emotion state of the user and is used for generating vibration tactile feedback to intervene in influencing the physiological state and/or the emotion state of the user.
The vibration unit is a unit for realizing a vibration function in the bone conduction earphone, and specifically can comprise a bone conduction vibrator and a shell for wrapping and installing the bone conduction vibrator.
In the use process of intervening in the vibration mode, the human body can feel the vibration of the bone conduction earphone in the touch aspect, and then the physiological state and the emotional state of the human body are adjusted under the triggering of the feeling.
In the embodiment of the application, if the real-time physiological state monitoring data meets the intervention condition, the vibration unit of the bone conduction earphone is controlled to vibrate in an intervention vibration mode matched with the current physiological state and/or the emotion state of the user, and under the vibration mode, the physiological state and/or the emotion state of the user can be influenced by the touch generated by the vibration on the human body.
Wherein the matching of the current physiological state and/or emotional state of the user may be determined based on real-time physiological state monitoring data.
In summary, according to the vibration intervention method of the bone conduction earphone provided by the embodiment, the real-time physiological state monitoring data of the user is obtained, whether the real-time physiological state monitoring data meets the preset intervention condition is monitored, and when the real-time physiological state monitoring data meets the intervention condition, the vibration unit of the bone conduction earphone is controlled to vibrate in an intervention vibration mode, and the intervention vibration mode is used for influencing the physiological state and/or the emotional state of the user through the touch of the vibration to the human body; and the bone conduction earphone is used for performing forward vibrotactile intervention on a user, so that a vibrotactile intervention function based on physiological state monitoring data is provided for the user.
In an exemplary embodiment, the vibrotactile intervention of the bone conduction headset is embodied as an alert reminder function.
Fig. 2 is a method flow diagram illustrating a method of vibration intervention of a bone conduction headset, according to an exemplary embodiment. The method is applied to the bone conduction earphone. As shown in fig. 2, the vibration intervention method of the bone conduction headset may include the steps of:
Step 210: real-time physiological state monitoring data of a user is obtained.
The specific implementation manner of this step may be referred to the above embodiments, and will not be described herein.
Step 220: whether the real-time physiological state monitoring data belongs to a conventional threshold range is monitored.
The normal threshold range is a range of physiological state monitoring data in a preset normal state. If the real-time physiological state monitoring data belongs to the range, the physiological state of the current user can be considered normal, and if the real-time physiological state monitoring data does not belong to the range, the physiological state of the current user can be considered abnormal.
For example, in the case where the real-time physiological state monitoring data includes monitoring data of multiple properties, if at least one of the monitoring data does not belong to its corresponding conventional threshold range, then the real-time physiological state monitoring data is considered not to belong to the conventional threshold range; or if the monitoring data exceeding a certain proportion does not belong to the corresponding conventional threshold range, the real-time physiological state monitoring data is considered not to belong to the conventional threshold range.
Step 230: and under the condition that the real-time physiological state monitoring data does not belong to the conventional threshold range, controlling the vibration unit of the bone conduction earphone to vibrate in a first intervention vibration mode, wherein the first intervention vibration mode is used for prompting a user to adjust the physiological state through vibration tactile feedback.
That is, the intervention condition may include: the real-time physiological state monitoring data does not fall within a conventional threshold range.
In the embodiment of the application, if the comparison finds that the real-time physiological state monitoring data does not belong to the conventional threshold range, the bone conduction earphone determines to perform haptic intervention, specifically, performs vibration in a first intervention vibration mode, prompts a user to adjust the physiological state through haptic in the vibration mode, and alarms and reminders the user.
In one possible implementation, controlling a vibration unit of a bone conduction headset to vibrate in a first intervention vibration mode includes: and controlling the bone conduction earphone to vibrate for a preset prompting time period at a fixed vibration frequency value.
In the implementation mode, the aim of prompting the user to adjust the physiological state in a touch manner is efficiently achieved by vibrating a fixed vibration frequency value for a preset prompting time. Illustratively, after determining that an alert is required to the user, vibration is continued for 5 seconds at a certain vibration frequency value.
In one possible implementation, the step of determining the vibration frequency value includes: analyzing warning grades corresponding to the real-time physiological state monitoring data; the vibration frequency value is set to a frequency value corresponding to the warning level.
In the implementation manner, the warning level corresponding to the real-time physiological state monitoring data is determined by combining the specific numerical value of the real-time physiological state monitoring data, the warning level is used for indicating the degree of deviation of the real-time physiological state monitoring data from the conventional threshold range, and different warning levels correspond to different vibration frequency values, so that the abnormal degree of the physiological state of the current user is effectively reminded through the setting of the different vibration frequency values.
In one possible implementation, controlling a vibration unit of a bone conduction headset to vibrate in a first intervention vibration mode includes: converting characteristic data in the real-time physiological state monitoring data into real-time vibration frequency parameters; and controlling the vibration unit of the bone conduction earphone to vibrate according to the real-time vibration frequency parameter.
In this implementation, the characteristic data in the real-time physiological state monitoring data is used to drive the vibration of the vibration unit: based on a certain data conversion strategy, the characteristic data in the real-time physiological state monitoring data are converted into real-time vibration frequency parameters, and the vibration unit is controlled to vibrate according to the real-time vibration frequency parameters, so that the change condition of the physiological state of the current user is effectively reminded through real-time change of the vibration.
The physiological state monitoring data are heart rate data, when the user moves, the heart rate is overspeed, the vibration frequency value can be set to be a value equal to the real-time heart rate value, the user is prompted to have the overspeed heart rate through vibration with the frequency equal to the real-time heart rate value, so that the exercise intensity is reduced, and the adjustment effect of the physiological state of the user can be fed back to the user through adjustment of the vibration frequency of the bone conduction earphone.
The physiological state monitoring data are blood oxygen data, a conversion relation between blood oxygen and vibration frequency is established in advance, when oxygen supply is insufficient, the monitored real-time blood oxygen data are converted into real-time frequency parameters, the user is prompted that oxygen supply is insufficient through vibration of the frequency corresponding to the real-time blood oxygen data, and the adjustment effect of the physiological state of the user can be fed back through adjustment of the vibration frequency of the bone conduction earphone.
In summary, according to the vibration intervention method of the bone conduction earphone provided by the embodiment, when the condition that the real-time physiological state monitoring data does not belong to the conventional threshold range is monitored, the vibration unit of the bone conduction earphone can be controlled to vibrate in the first intervention vibration mode, and the user is prompted to adjust the physiological state through the touch, so that the effect of warning reminding is achieved through the vibration touch.
In an exemplary embodiment, the vibrotactile intervention of the bone conduction headset is further embodied as an emotion-dispersing function.
Fig. 3 is a method flow diagram illustrating a method of vibration intervention of a bone conduction headset, according to an exemplary embodiment. The method is applied to the bone conduction earphone. As shown in fig. 3, the vibration intervention method of the bone conduction headset may include the steps of:
step 310: real-time physiological state monitoring data of a user is obtained.
The specific implementation manner of this step may be referred to the above embodiments, and will not be described herein.
Step 320: whether the real-time physiological state monitoring data belongs to a conventional threshold range is monitored.
The specific implementation manner of this step may be referred to the above embodiments, and will not be described herein.
Step 330: and under the condition that the real-time physiological state monitoring data does not belong to the conventional threshold range, controlling the vibration unit of the bone conduction earphone to vibrate in a first intervention vibration mode, and evaluating the real-time emotional state of the user based on the real-time physiological state monitoring data.
In the embodiment of the application, when the user is warned, the real-time emotional state of the user can be further assessed through a certain algorithm according to the real-time physiological state monitoring data.
In one possible implementation, assessing a real-time emotional state of a user based on real-time physiological state monitoring data includes: receiving an emotional state vibration intervention instruction; in response to the emotional state vibration intervention instructions, a real-time emotional state of the user is assessed based on the real-time physiological state monitoring data.
Wherein the emotional state vibration intervention instruction is an instruction generated under the operation that the user actively requests to conduct emotion dispersion. In the implementation mode, under the operation request of a user, the bone conduction earphone correspondingly starts the emotion dispersion function, so that the bone conduction earphone can adapt to the requirement of the user when the emotion dispersion is executed.
In one possible implementation, assessing a real-time emotional state of a user based on real-time physiological state monitoring data includes: inputting real-time physiological state monitoring data into an identification model, wherein the identification model is a pre-trained neural network model for carrying out pattern identification on the type of the emotional state; and outputting the real-time emotion state through the recognition model.
In this implementation, an identification model is pre-trained, the input of which is physiological state monitoring data and the output of which is an emotional state, so that the real-time emotional state of the user is rapidly and accurately assessed by the identification model.
By way of example, with reference to fig. 4, a specific algorithm for identifying emotional states by identifying models is as follows:
The physiological characteristic signal measuring sensors such as heart rate, blood oxygen, biological impedance and the like are used for collecting corresponding physiological state monitoring data (namely physiological signals), carrying out information fusion on the physiological state monitoring data, modeling the emotion state of a person and the physiological state monitoring data, inputting the physiological state monitoring data into a built model when new physiological state monitoring data are input, and carrying out pattern recognition on the model, wherein a result after recognition is a certain emotion state.
After the physiological state monitoring data are acquired, various physiological characteristic acquisition sensors can perform signal processing and characteristic extraction, and then perform signal modeling through an information fusion algorithm. Common signal feature extraction methods include a time domain feature extraction method and a frequency domain feature extraction method, and feature extraction and feature reduction are performed on signals by combining a statistical method. In practical application, various feature extraction methods can be adopted, and signal feature extraction is carried out by combining a machine learning algorithm.
After extracting the characteristic information of the signals acquired by the physiological characteristic acquisition sensors, an information fusion method can be adopted to fuse the characteristics so as to estimate the emotion state. A common multi-sensor information fusion algorithm, such as an extended kalman filter, is a nonlinear, gaussian information fusion algorithm. The neural network algorithm can also be adopted to learn the nonlinear relation among the sensors, and the estimation accuracy of the emotion state is improved through information fusion so as to better perform pattern recognition.
After information feature extraction, feature data is taken as input, emotion states are taken as labels, and the emotion labels corresponding to pattern recognition and data classification matching can be carried out between the information feature extraction and the information feature extraction through a pattern recognition algorithm or a classification algorithm. Common classifier methods such as support vector machine, deep learning and the like can learn physiological signal characteristics and identify emotion states.
Step 340: in case the real-time emotional state does not belong to the forward emotional state, controlling the vibration unit of the bone conduction headset to vibrate in a second intervention vibration mode for dredging the emotional state of the user by vibrotactile feedback.
In the embodiment of the application, under the condition that the intervention condition is met, the bone conduction earphone vibrates in a first intervention vibration mode, the physiological state of the user is regulated by the touch prompt in the vibration mode, the user is warned and reminded, meanwhile, whether emotion dispersion is needed or not is judged, if the real-time emotion state is found not to belong to the forward emotion state, the bone conduction earphone vibrates in a second intervention vibration mode, and the emotion dispersion is carried out on the user by the touch in the vibration mode.
Wherein, the first intervention vibration mode can be understood as a relatively short-time high-intensity vibration mode for alarming and reminding; the second intervention mode may be understood as a relatively long low intensity vibration mode for emotional relaxation.
For example, when the user is in a strenuous exercise state, the heart rate may be too fast, and dangerous behaviors may occur due to the too fast heart rate for a long time, at this time, the heart rate sensor in the bone conduction earphone may dynamically monitor the heart rate of the user, and if the heart rate is too fast, the bone conduction earphone may alert the user to remind the user that the exercise intensity should be reduced, and generate vibration with a mood relieving effect to perform mood relief on the user.
In one possible implementation, controlling the vibration unit of the bone conduction headset to vibrate in a second intervention vibration mode includes: acquiring a corresponding relation table, wherein the corresponding relation table is used for indicating the corresponding relation between different types of emotional states and vibration parameters; determining a target vibration parameter based on the corresponding relation table, wherein the target vibration parameter is a vibration parameter corresponding to the real-time emotion state; the bone conduction headphones are controlled to vibrate based on the target vibration parameters.
The vibration parameter is a parameter corresponding to vibration of the bone conduction earphone, and includes, but is not limited to, at least one of the following: vibration frequency, vibration amplitude, vibration duration, vibration period.
In the implementation manner, the relief of different emotional states is realized by using different vibration parameters, the corresponding relation between the emotional states and the vibration parameters is stored in the bone conduction earphone in advance, and after the real-time emotional states are identified, the corresponding target vibration parameters can be used for carrying out targeted emotional relief on the emotional states.
In summary, according to the vibration intervention method of the bone conduction earphone provided by the embodiment, when the bone conduction earphone performs vibration and touch intervention, the bone conduction earphone vibrates in a first intervention vibration mode, the user is prompted to adjust the physiological state through touch in the vibration mode, the user is warned and reminded, meanwhile, whether emotion mediation is needed is judged, if the real-time emotion state is found not to belong to the forward emotion state, the bone conduction earphone further vibrates in a second intervention vibration mode, and the emotion state of the user is dredged through touch in the vibration mode, so that comprehensive intervention influence is carried out on the physiological state and the emotion state of the user.
It will be appreciated that in the embodiment shown in fig. 3 described above, the following is illustrated: the intervention condition only comprises that the real-time physiological state monitoring data does not belong to the conventional threshold range, and when the bone conduction earphone monitors that the real-time physiological state monitoring data does not belong to the conventional threshold range, the first vibration mode is used for alarming and reminding, and the second vibration mode is used for emotion dispersion. In addition, the intervention condition may include that the real-time physiological state monitoring data does not belong to the normal threshold range, and the real-time emotional state does not belong to the forward emotional state, and in the case that the bone conduction headset monitors that the real-time emotional state does not belong to the forward emotional state, the emotion mediation may be directly performed through the second vibration mode, and the triggering of the emotion mediation function is not based on the triggering of the alarm reminding function.
It will be appreciated that the above method embodiments may be implemented alone or in combination, and the application is not limited in this regard.
Fig. 5 is a block diagram illustrating a structure of a vibration intervention device of a bone conduction headset according to an exemplary embodiment. The device comprises:
The data monitoring module 501 is configured to obtain real-time physiological status monitoring data of a user;
An intervention judgment module 502, configured to monitor whether the real-time physiological status monitoring data meets a preset intervention condition;
An intervention execution module 503, configured to control the vibration unit of the bone conduction headset to vibrate in an intervention vibration mode, where the real-time physiological state monitoring data meets the intervention condition, and the intervention vibration mode is matched with the current physiological state and/or emotional state of the user, and is used to generate vibrotactile feedback to intervene in influencing the physiological state and/or emotional state of the user.
In one possible implementation, the intervention executing module 503 is configured to:
And under the condition that the real-time physiological state monitoring data does not belong to the conventional threshold range, controlling the vibration unit of the bone conduction headset to vibrate in a first intervention vibration mode, wherein the first intervention vibration mode is used for prompting the user to adjust the physiological state through vibration tactile feedback.
In one possible implementation, the intervention executing module 503 is configured to control the bone conduction headset to vibrate at a fixed vibration frequency value for a preset prompting period.
In one possible implementation, the intervention executing module 503 is configured to:
Analyzing the warning grade corresponding to the real-time physiological state monitoring data;
the vibration frequency value is set to a frequency value corresponding to the warning level.
In a possible implementation manner, the intervention executing module 503 is configured to convert the characteristic data in the real-time physiological status monitoring data into a real-time vibration frequency parameter; and controlling the vibration unit of the bone conduction headset to vibrate according to the real-time vibration frequency parameter.
In one possible implementation, the intervention executing module 503 is configured to:
assessing a real-time emotional state of the user based on the real-time physiological state monitoring data;
In the case that the real-time emotional state does not belong to a forward emotional state, after controlling the vibration unit of the bone conduction headset to vibrate in a first intervention vibration mode, controlling the vibration unit of the bone conduction headset to vibrate in a second intervention vibration mode for dredging the emotional state of the user through vibrotactile feedback.
In one possible implementation, the intervention executing module 503 is configured to:
inputting the real-time physiological state monitoring data into an identification model, wherein the identification model is a pre-trained neural network model for carrying out pattern identification on the type of the emotional state;
Outputting the real-time emotional state through the recognition model.
In one possible implementation, the intervention executing module 503 is configured to:
Receiving an emotional state vibration intervention instruction;
And responsive to the emotional state vibration intervention instructions, assessing a real-time emotional state of the user based on the real-time physiological state monitoring data.
In one possible implementation, the intervention executing module 503 is configured to:
obtaining a corresponding relation table, wherein the corresponding relation table is used for indicating the corresponding relation between different types of emotional states and vibration parameters;
Determining a target vibration parameter based on the corresponding relation table, wherein the target vibration parameter is a vibration parameter corresponding to the real-time emotion state;
And controlling the bone conduction headset to vibrate based on the target vibration parameter.
It should be noted that: the vibration intervention device of the bone conduction earphone provided by the embodiment is only exemplified by the division of the functional modules, and in practical application, the functional distribution can be completed by different functional modules according to the needs, namely, the internal structure of the device is divided into different functional modules so as to complete all or part of the functions described above. In addition, the apparatus and the method embodiments provided in the foregoing embodiments belong to the same concept, and specific implementation processes of the apparatus and the method embodiments are detailed in the method embodiments and are not repeated herein.
Referring to fig. 6, a schematic diagram of a computer device according to an exemplary embodiment of the present application is provided, where the computer device includes a memory and a processor, and the memory is configured to store a computer program, and when the computer program is executed by the processor, implement the vibration intervention method of the bone conduction headset.
The processor may be a central processing unit (Central Processing Unit, CPU). The Processor may also be other general purpose processors, digital Signal Processors (DSP), application SPECIFIC INTEGRATED Circuits (ASIC), field-Programmable gate arrays (Field-Programmable GATE ARRAY, FPGA) or other Programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or a combination of the above.
The memory, as a non-transitory computer readable storage medium, may be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as program instructions/modules, corresponding to the methods in embodiments of the present invention. The processor executes various functional applications of the processor and data processing, i.e., implements the methods of the method embodiments described above, by running non-transitory software programs, instructions, and modules stored in memory.
The memory may include a memory program area and a memory data area, wherein the memory program area may store an operating system, at least one application program required for a function; the storage data area may store data created by the processor, etc. In addition, the memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some implementations, the memory optionally includes memory remotely located relative to the processor, the remote memory being connectable to the processor through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
In an exemplary embodiment, a computer readable storage medium is also provided for storing at least one computer program that is loaded and executed by a processor to implement all or part of the steps of the above method. For example, the computer readable storage medium may be Read-Only Memory (ROM), random-access Memory (Random Access Memory, RAM), compact disc Read-Only Memory (CD-ROM), magnetic tape, floppy disk, optical data storage device, and the like.
Other embodiments of the application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. This application is intended to cover any variations, uses, or adaptations of the application following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the application pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It is to be understood that the application is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (10)
1. A method of vibration intervention of a bone conduction headset, the method comprising:
Acquiring real-time physiological state monitoring data of a user;
monitoring whether the real-time physiological state monitoring data meets a preset intervention condition;
controlling a vibration unit of the bone conduction earphone to vibrate in a first intervention vibration mode under the condition that the real-time physiological state monitoring data does not belong to a conventional threshold range, wherein the first intervention vibration mode is used for prompting the user to adjust the physiological state through vibration tactile feedback;
Assessing a real-time emotional state of the user based on the real-time physiological state monitoring data; in the case that the real-time emotional state does not belong to a forward emotional state, after controlling the vibration unit of the bone conduction headset to vibrate in a first intervention vibration mode, controlling the vibration unit of the bone conduction headset to vibrate in a second intervention vibration mode for dredging the emotional state of the user through vibrotactile feedback.
2. The method of claim 1, wherein assessing the real-time emotional state of the user based on the real-time physiological state monitoring data comprises:
inputting the real-time physiological state monitoring data into an identification model, wherein the identification model is a pre-trained neural network model for carrying out pattern identification on the type of the emotional state;
Outputting the real-time emotional state through the recognition model.
3. The method of claim 1, wherein assessing the real-time emotional state of the user based on the real-time physiological state monitoring data comprises:
Receiving an emotional state vibration intervention instruction;
And responsive to the emotional state vibration intervention instructions, assessing a real-time emotional state of the user based on the real-time physiological state monitoring data.
4. The method of claim 1, wherein the controlling the vibration unit of the bone conduction headset to vibrate in a second intervention vibration mode comprises:
obtaining a corresponding relation table, wherein the corresponding relation table is used for indicating the corresponding relation between different types of emotional states and vibration parameters;
Determining a target vibration parameter based on the corresponding relation table, wherein the target vibration parameter is a vibration parameter corresponding to the real-time emotion state;
And controlling the bone conduction headset to vibrate based on the target vibration parameter.
5. The method of claim 1, wherein the controlling the vibration unit of the bone conduction headset to vibrate in a first intervention vibration mode comprises:
and controlling the bone conduction earphone to vibrate for a preset prompting time period at a fixed vibration frequency value.
6. The method of claim 5, wherein the step of determining the vibration frequency value comprises:
Analyzing the warning grade corresponding to the real-time physiological state monitoring data;
the vibration frequency value is set to a frequency value corresponding to the warning level.
7. The method of claim 1, wherein the controlling the vibration unit of the bone conduction headset to vibrate in a first intervention vibration mode comprises:
converting characteristic data in the real-time physiological state monitoring data into real-time vibration frequency parameters;
and controlling the vibration unit of the bone conduction headset to vibrate according to the real-time vibration frequency parameter.
8. A vibration intervention device of a bone conduction headset, the device comprising:
The data monitoring module is used for acquiring real-time physiological state monitoring data of the user;
The intervention judgment module is used for monitoring whether the real-time physiological state monitoring data meet preset intervention conditions or not;
The intervention execution module is used for controlling the vibration unit of the bone conduction earphone to vibrate in a first intervention vibration mode under the condition that the real-time physiological state monitoring data do not belong to the conventional threshold range, and the first intervention vibration mode is used for prompting the user to adjust the physiological state through vibration tactile feedback;
The intervention execution module is further used for evaluating the real-time emotion state of the user based on the real-time physiological state monitoring data; in the case that the real-time emotional state does not belong to a forward emotional state, after controlling the vibration unit of the bone conduction headset to vibrate in a first intervention vibration mode, controlling the vibration unit of the bone conduction headset to vibrate in a second intervention vibration mode for dredging the emotional state of the user through vibrotactile feedback.
9. A bone conduction headset comprising a processor and a memory, wherein the memory stores at least one instruction, at least one program, code set, or instruction set, and wherein the at least one instruction, at least one program, code set, or instruction set is loaded and executed by the processor to implement a vibration intervention method of the bone conduction headset according to any one of claims 1 to 7.
10. A computer readable storage medium having stored therein at least one instruction, at least one program, code set, or instruction set, the at least one instruction, at least one program, code set, or instruction set being loaded and executed by a processor to implement a method of vibration intervention of a bone conduction headset according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311743820.5A CN117998245A (en) | 2023-12-18 | 2023-12-18 | Vibration intervention method and device of bone conduction earphone, bone conduction earphone and medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311743820.5A CN117998245A (en) | 2023-12-18 | 2023-12-18 | Vibration intervention method and device of bone conduction earphone, bone conduction earphone and medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117998245A true CN117998245A (en) | 2024-05-07 |
Family
ID=90890277
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311743820.5A Pending CN117998245A (en) | 2023-12-18 | 2023-12-18 | Vibration intervention method and device of bone conduction earphone, bone conduction earphone and medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117998245A (en) |
-
2023
- 2023-12-18 CN CN202311743820.5A patent/CN117998245A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP6657337B2 (en) | Method of operating hearing aid and hearing aid | |
| CN105611443A (en) | Control method and system of earphone and earphone | |
| CA2766536A1 (en) | An eeg monitoring apparatus and method for presenting messages therein | |
| CN107550475A (en) | A kind of method, apparatus and wearable device for monitoring human heart rate | |
| CN106999049A (en) | The duration of the stimulus to the sense organ during sleeping is adjusted to strengthen the system and method for slow-wave activity | |
| CN110062318A (en) | Hearing aid device system | |
| US9288593B2 (en) | Visually-based fitting of hearing devices | |
| CN105427536A (en) | Critical condition prompting method, intelligent wearable equipment, and intelligent terminal | |
| CN109065064B (en) | Method for generating EQ curve, method for outputting audio and output equipment | |
| CN103270779A (en) | Electroencephalograph, hearing aid, electroencephalogram recording method and program for same | |
| ATE445974T1 (en) | METHOD FOR SELECTING A PROGRAM IN A MULTI-PROGRAM HEARING AID | |
| EP3641344B1 (en) | A method for operating a hearing instrument and a hearing system comprising a hearing instrument | |
| US8755533B2 (en) | Automatic performance optimization for perceptual devices | |
| EP3957085A1 (en) | Hearing test system | |
| CN109951783A (en) | For the method based on pupil information adjustment hearing aid configuration | |
| EP3873105A1 (en) | System and methods for audio signal evaluation and adjustment | |
| CN110719558B (en) | Hearing aid fitting method and device, computer equipment and storage medium | |
| EP3614695A1 (en) | A hearing instrument system and a method performed in such system | |
| CN112336311A (en) | Wearable device wearing management method and device, wearable device and medium | |
| EP3809725A2 (en) | Hearing aid system configured to evaluate cognitive load | |
| CN117998245A (en) | Vibration intervention method and device of bone conduction earphone, bone conduction earphone and medium | |
| CN112244829A (en) | Emotion state based alarm method and device and computer equipment | |
| CN110974187A (en) | Health monitoring system for person under guardianship | |
| CN110324742B (en) | Control method, earphone and storage medium | |
| CN106037724A (en) | Bone conduction feedback device based on brain wave anti-fatigue monitoring |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |