CN109934145A - Mood degree assists method of adjustment, smart machine and computer readable storage medium - Google Patents
Mood degree assists method of adjustment, smart machine and computer readable storage medium Download PDFInfo
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Abstract
The invention discloses a kind of mood degree auxiliary method of adjustment, smart machine and computer scale storage mediums, this method comprises: obtaining the current brain wave feature in the brain wave of training object, and the initial mood degree of training object is determined based on current brain wave feature；If initial mood degree lower than minimum threshold value is preset, presets the unit time to the multi-media signal that training object output prestores one by one；If the brain wave based on training object detects that initial mood degree rises, using the multi-media signal for causing initial mood degree to rise as effective stimulus signal；Establish the mapping table of initial mood degree and effective stimulus signal.The present invention realizes automation, the auxiliary adjustment of intelligentized mood degree, largely saves the cost of labor of professional person's participation.
Description
Technical field
The present invention relates to a kind of mood adjustment auxiliary system fields more particularly to a kind of mood degree to assist method of adjustment, intelligence
It can equipment and computer scale storage medium.
Background technique
Modern medicine shows that the attention level of people is adjusted by nervous system, the brain wave of a people often with he
Attention concentration degree, allowance, the indexs such as fatigue strength have more close connection.And the brain that eeg signal is then people exists
The external manifestation of neuroelectricity when carry out activity, usually, people specific thinking activities and when affective state brain cell with
The activity intensity and activity pattern of nerve have significant difference with external eeg signal is shown, pass through electroencephalographic record
(EEG, Electroencephalography) this undamaged brain wave detection means can carry out the EEG signals of people
Record is extracted and is analyzed.
In conventional technique scheme, brain wave can be used as the supplementary means for carrying out psychotherapy or mood adjustment, professional people
Scholar (such as shrink) can judge attention concentration degree, allowance, the fatigue of trainee according to the eeg signal of trainee
Degree etc. carries out verbal suggestion or guidance to trainee to be based on relevant professional knowledge, to change the attention of trainee
Concentration degree, allowance, fatigue strength etc., to complete the psychotherapy or mood adjustment of trainee.But this rely on professional person for counsel
Brain wave mood treatment or adjustment mode, have very high professional knowledge and professional skill to professional person, not enough automation and
High labor cost is realized in intelligence.
Summary of the invention
The main purpose of the present invention is to provide a kind of thread degree auxiliary method of adjustment, smart machine and the storages of computer scale
Medium, it is intended to solve to rely on the brain wave mood treatment of professional person for counsel or adjustment mode not enough automates and intelligent, realization people
Work technical problem at high cost.
To achieve the above object, the present invention provides a kind of mood degree auxiliary method of adjustment, and the mood degree assists adjustment side
Method includes:
The current brain wave feature in the brain wave of training object is obtained, and training pair is determined based on current brain wave feature
The initial mood degree of elephant；
If the initial mood degree lower than minimum threshold value is preset, exports the multi-media signal prestored to training object one by one
The default unit time；
If the brain wave based on training object detects that the initial mood degree rises, initial mood degree will be caused to rise
Multi-media signal is as effective stimulus signal；
Establish the mapping table of initial the mood degree and effective stimulus signal.
Optionally, the step of mapping table for establishing the initial mood degree and effective stimulus signal includes:
It records each effective stimulus signal and causes the ascensional range for originating mood degree within the default unit time；
The maximum effective stimulus signal of ascensional range for originating mood degree will be caused as goal stimulus signal, described first
It is best positive emotional distress that goal stimulus signal is marked in the mapping table of beginning mood degree.
Optionally, it if the initial mood degree is lower than minimum threshold value is preset, is prestored one by one to training object output
Multi-media signal preset the unit time the step of after include:
If detecting the initial mood degree decline, switching causes the multi-media signal of initial mood degree decline, and marks
Note causes the multi-media signal of initial mood degree decline to be negative sense stimulus signal.
Optionally, it if stating the initial mood degree lower than minimum threshold value is preset, is prestored one by one to training object output
Multi-media signal preset the unit time the step of after include:
If detecting, the initial mood degree is constant within the default unit time, and it is constant to switch the initial mood degree of reference
Multi-media signal, and marking the multi-media signal for causing initial mood degree constant is ineffective stimulation signal.
Optionally, it is wrapped after the step of mapping table for establishing the initial mood degree and effective stimulus signal
It includes:
The negative sense stimulus signal and ineffective stimulation signal are added in the mapping table of initial mood degree.
Optionally, the mood degree auxiliary method of adjustment includes:
After having established the mapping table of be in a bad mood degree in default mood degree list, if special based on current brain wave
Sign determine training object initial mood degree be greater than presets very big threshold value, then to training object output negative sense stimulus signal and/or
Ineffective stimulation signal.
Optionally, the current brain wave feature in the brain wave for obtaining training object, and it is based on current brain wave
Feature determines that the step of initial mood of training object is spent includes: before
The test emotional information of different trained objects is collected, and determines the survey of different trained objects based on test emotional information
Try mood degree；
Acquire the initial brain wave feature for the eeg signal that different trained objects are under test mood degree；
The unit time is preset to the multi-media signal that different trained object outputs prestore one by one, and acquires different trained objects
It is again at the process brain wave feature of brain wave when test mood is spent；
According to the initial brain wave feature and process brain wave feature, the corresponding brain wave of the test mood degree is generated
Characteristic model, until test mood degree traverses default mood degree list.
Optionally, described to determine that the step of training the initial mood of object to spend includes: based on current brain wave feature
The target brain wave characteristic model of training object is determined based on current brain wave feature；
Determine that the target brain wave characteristic model subjects' mood degree is initial mood degree from default mood degree list.
In addition, to achieve the above object, the present invention also provides a kind of smart machine, the smart machine include: memory,
The mood degree auxiliary adjustment programme that processor and being stored in can be run on the memory and on the processor, the mood
Degree auxiliary adjustment programme realizes the step of above-mentioned mood degree auxiliary method of adjustment when being executed by the processor.
In addition, to achieve the above object, the present invention also provides a kind of computer readable storage mediums, which is characterized in that institute
It states and stores degree of being in a bad mood auxiliary adjustment programme on computer readable storage medium, the mood degree auxiliary adjustment programme is by processor
The step of above-mentioned mood degree auxiliary method of adjustment is realized when execution.
The present invention passes through the current brain wave feature of training object, the initial mood degree of training object is determined, in initial feelings
Thread degree presets the unit time to the multi-media signal that training object output prestores one by one lower than when presetting minimum threshold value, thus will
The multi-media signal for causing initial mood degree to rise establishes initial mood degree and effective stimulus signal as effective stimulus signal
Mapping table, by repetition training and adjustment after, mood degree and the mapping table of effective stimulus signal are more and more abundant,
It is fewer and fewer that mood treatment or adjustment need professional person to intervene demand, so that training object only needs triggering to start mood degree auxiliary
Process is adjusted, automation, the auxiliary adjustment of intelligentized mood degree is realized, largely saves the cost of labor of professional person's participation.
Detailed description of the invention
Fig. 1 is the terminal structure schematic diagram for the smart machine hardware running environment that the embodiment of the present invention is related to；
Fig. 2 is the flow diagram that mood degree of the present invention assists one embodiment of method of adjustment.
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
Fig. 1 is the device structure schematic diagram for the hardware running environment that present invention method is related to.
Intelligent terminal of the embodiment of the present invention can be fixed terminal, such as Internet of Things smart machine, including intelligent air condition, intelligence
The smart homes such as electric light, intelligent power, intelligent router；It is also possible to mobile terminal, including smart phone, wearable networking
Many networked devices such as AR/VR device, intelligent sound box, autonomous driving vehicle.
As shown in Figure 1, the smart machine includes: processor 1001, such as CPU, memory 1005, communication bus 1002.
Wherein, communication bus 1002 is for realizing the connection communication between processor 1001 and memory 1005.Memory 1005 can be with
It is high speed RAM memory, is also possible to stable memory (non-volatile memory), such as magnetic disk storage.Storage
Device 1005 optionally can also be the storage device independently of aforementioned processor 1001.
Optionally, which can also include user interface, network interface, camera, RF (Radio
Frequency, radio frequency) circuit, sensor, voicefrequency circuit, WiFi module etc..User interface may include display screen
(Display), touch screen, camera (including AR/VR equipment) etc., optional user interface can also include that the wired of standard connects
Mouth, wireless interface.Network interface optionally may include that (such as WI-FI interface, bluetooth connect standard wireline interface and wireless interface
Mouth, probe interface, 3G/4G/5G connected network communication interface etc.).
It will be understood by those skilled in the art that smart machine shown in Fig. 1 does not constitute the restriction to smart machine, it can
To include perhaps combining certain components or different component layouts than illustrating more or fewer components.
As shown in Figure 1, as may include that operating system, network are logical in a kind of memory 1005 of computer storage medium
Believe that module and mood degree assist adjustment programme.Operating system is to manage and control the journey of smart machine hardware and software resource
Sequence supports the operation of mood degree auxiliary adjustment programme and other softwares and/or program.Network communication module is for realizing storage
Communication between the 1005 each component in inside of device, and communicated between hardware and softwares other in smart machine.
In smart machine shown in Fig. 1, processor 1001 is used to execute the mood degree auxiliary stored in memory 1005
Adjustment programme performs the steps of
The current brain wave feature in the brain wave of training object is obtained, and training pair is determined based on current brain wave feature
The initial mood degree of elephant；
If the initial mood degree lower than minimum threshold value is preset, exports the multi-media signal prestored to training object one by one
The default unit time；
If the brain wave based on training object detects that the initial mood degree rises, initial mood degree will be caused to rise
Multi-media signal is as effective stimulus signal；
Establish the mapping table of initial the mood degree and effective stimulus signal.
Based on above-mentioned mobile terminal hardware configuration and intelligent movable equipment control technology system, propose that the method for the present invention is each
A embodiment.
Supplemented by assistant solve technical solution of the present invention, the definition of mood degree is particularly significant, the following contents explain mood degree.
Mood degree can be understood as representing the progressive grade of mood of mood quality, be the mood shape of a people temporarily or continuously
State, this part of progressive grade can show the mood that people is experienced, and fear, indignation, sadness, enthusiasm etc..The mood of mood degree is gradually
The decline spiral that life can be represented into grade is down to the vigor and consciousness of half, until dead from complete vigor and consciousness
It dies, i.e. the progressive grade of the mood of mood degree can show life behavior at all levels during decaying.
For example, a kind of definition standard of mood degree, presetting the list of mood degree may include following mood degree:
One almost dead people, it may be said that be in long-term cold and detached helpless.This people has specific behavior table to things
Existing, mood degree is 0.1-cold and detached helpless.
One, due to losing and long-term sad people, is just in sadness.Also some are specific for many things by this people
Behavior expression, mood degree are 0.5-sad.
If a people knows not yet as low as sadness and loses and will occur, or be fixed on for a long time because of past lose
In this grade, mood degree is to fear -1.1.
One people just fought bravely with the threat lost is in indignation, and this people can also show otherwise behavior,
Mood degree is indignation -1.5.
If a people, which only suspects, to be lost, or anchors in this grade, this people can hate very much, and mood degree is
Opposition -2.0.
On opposition, the case where people, does not arrive well enthusiasm, and also without grain to the stage of animosity, this people is lost
Some targets also can not find other targets for the moment now.This human feelings thread degree be it is boring, -2.5.
One people can with it is conservative, with caution from the viewpoint of wait live, but he has and strides forward towards target, this personal mood degree
For enthusiasm -3.0.
One people's enthusiasm, happy and dynamic, this personal mood degree is quiet -4.0.
Supplemented by assistant's Xie Shangshu mood degree, aided in illustrating below with specific example:
Do for example, you need one piece of coin to others either with or without meeting a child? he is very happy at the beginning, and (mood degree is heat
Sincere feeling), he only wishes to one piece of coin.If gone whistle, he can explain why he wants coin.If he cannot get,
Without wanting very much, he will feel boring and then leave (mood degree is boring at this time).But if he wants very much, Jiu Huibiao
The attitude (mood degree is opposition at this time) for revealing opposition, then becomes very angry (mood degree is indignation at this time).Next, wanting again
Less than if, he may make up want coin the reasons why (mood degree is to fear at this time, loses because fearing due to makes up reason).
If still failed, he will enter sad mood (mood degree is sadness at this time).If he is still rejected, finally will
It falls into cold and detached helpless, then says that he is not intended to.Here it is deny, cold and detached helpless mood degree.
For another example, can be declined by the mood degree of the child of dangerous threat.Firstly, he does not realize that danger has looked for him
Or it is happy.Then dangerous to start to approach towards him, it is assumed that be a dog.Child sees danger, but he does not recognize
Him is aimed at for that dog, so continuing to do his thing.But he feels " boring " to the thing played now.He
Have and a little worries, it is uncertain that can occur.Then this dog more approaches, and child starts " disliking it ", or shows pair
Vertical attitude.Dog again close to him a bit, child is angry, seeks to attack this dog, but dog continues to approach, and threaten
It is more and more big.Child fears.Fear that It dones't help the situation, he cries.If dog continues to threaten him, child may will be fallen into
It is cold and detached helpless, it waits and is snapped.
In mood degree of the present invention auxiliary one embodiment of method of adjustment, referring to Fig. 2, the mood degree assists method of adjustment packet
It includes:
Step S10 obtains the current brain wave feature in the brain wave of training object, and true based on current brain wave feature
Surely the initial mood degree of object is trained；
Mood degree auxiliary method of adjustment of the invention is applied to smart machine, and training object is that smart machine carries out mood degree
The problem of assisting the regulating object of adjustment, object trained to be typically certain mood aspect, it is such as prolonged sad, angry
Deng.The smart machine includes the brain wave sensor for adopting trained object brain wave, for analyzing and training object brain wave
Processor, for exporting the output precision (such as display, audio output device) of multi-media signal, and for storing correlation
The memory of data, related data include the E.E.G mood mapping table of brain wave feature Yu mood degree, in E.E.G mood mapping table
The corresponding relationship of different brain wave features is corresponded to including different mood degree.As mood degree include it is cold and detached it is helpless, sad, fear, anger
Anger, opposition, boring, enthusiasm and quiet.E.E.G mood mapping table can be formed by great amount of samples training, i.e. acquisition great amount of samples
The brain wave feature of (normal person) be associated with mood degree, thus sample size reach to a certain degree after, brain wave feature and mood
Degree then has High relevancy.
After trained object has been determined, the brain wave of training object is acquired based on brain wave sensor, processor is to brain
Electric wave is analyzed, and is obtained the current brain wave feature for training object, is then searched simultaneously in preset E.E.G mood mapping table
The corresponding initial mood degree of current brain wave feature is obtained, this initial mood degree is the current emotional state of training object.
Step S20, if the initial mood degree lower than minimum threshold value is preset, is prestored to training object output more one by one
Media signal presets the unit time；
When the initial mood degree for detecting trained object, which is less than, presets minimum threshold value, show the mood for training object at this time
It is excessively low, then it needs to export the multi-media signal prestored to training object, when each clock multi-media signal exports default unit
Between, the multi-media signal prestored includes that independent color, independent audio, independent video or audio-video combine.The default unit time
It can be arranged according to initial mood degree, such as the value of initial mood degree is smaller, the default unit time is bigger, thus in training object
More cold and detached to extraneous food when initially mood degree is smaller, the time needed for forming feedback is also longer, so the default unit time
Appropriate to increase, the multi-media signal prestored can play the role of better emotional distress.
Step S30 will cause initial mood if the brain wave based on training object detects that the initial mood degree rises
The multi-media signal risen is spent as effective stimulus signal；
In each of each multi-media signal output prestored default unit time, the brain wave of training object is carried out
Real-time detection, thus the brain wave feature of real-time detection training object, and then the real-time detection training initial mood degree of object.Work as inspection
The initial mood degree for measuring trained object rises, such as initial mood degree rises to 2.0 (opposition) from 1.1 (fearing), then will draw
The multi-media signal of initial mood degree rising is played as effective stimulus signal.For example, the multimedia for causing initial mood degree to rise
Signal is Song of Joy piano music, then the Song of Joy piano music is the effective stimulus signal of training subjects' mood auxiliary adjustment, is had
Positive mood corrective action.
Step S40 establishes the mapping table of initial the mood degree and effective stimulus signal.
After effective stimulus signal (such as Song of Joy piano music) has been determined, determine the identity of training object (as used
Family 001), initial mood degree rises to 2.0 by 1.1, thus establish mapping table [effective stimulus signal: Song of Joy piano music+
Initial mood degree 1.1-fear to 2.0-opposition], so that subsequent trained object is also 1.1-when fearing, can be built based on this
It is effective stimulus signal that vertical mapping table, which inquires Song of Joy piano music, so that continuous training object output is joyous immediately rearward
Happy song piano music is to promote its mood degree.
Specifically, step S40 includes:
Step S41 records each effective stimulus signal and causes the ascensional range for originating mood degree within the default unit time；
Step S42 will cause the maximum effective stimulus signal of ascensional range for originating mood degree as goal stimulus signal,
It is best positive emotional distress that goal stimulus signal is marked in the mapping table of the initial mood degree.
When can with the effective stimulus signal of the initial mood degree of training for promotion object there are it is multiple when, obtain each effective stimulus
Signal causes the ascensional range for originating mood degree, such as effective stimulus signal to have 3 within the default unit time, is effective respectively
Stimulus signal A, B, C, the ascensional range of initial mood degree is respectively 1,1.5 and 0.5 caused by effective stimulus signal, to will have
Stimulus signal B is imitated as goal stimulus signal, and marks goal stimulus signal in the mapping table of the initial mood degree
It is excellent when identical initial mood is spent when carrying out the auxiliary adjustment of mood degree for subsequent trained object for best positive emotional distress
Effective stimulus signal B is first exported, the validity and accuracy of the auxiliary adjustment of mood degree are further promoted.
In the present embodiment, by the current brain wave feature of training object, the initial mood degree of training object is determined,
Initial mood degree presets the unit time to the multi-media signal that training object output prestores one by one lower than when presetting minimum threshold value,
Multi-media signal to which initial mood degree will be caused to rise establishes initial mood degree and effectively thorn as effective stimulus signal
The mapping table of energizing signal, after repetition training and adjustment, mood degree and the mapping table of effective stimulus signal are more next
Abundanter, mood treatment or adjustment need professional person's intervention demand fewer and fewer, so that training object only needs triggering to start feelings
Thread degree auxiliary adjustment process realizes automation, the auxiliary adjustment of intelligentized mood degree, largely saves the people of professional person's participation
Work cost.
Further, in mood degree of the present invention auxiliary another embodiment of method of adjustment, after step S20 further include:
Step S31, if detecting the initial mood degree decline, switching causes the multimedia letter of initial mood degree decline
Number, and mark and the multi-media signal of initial mood degree decline is caused to be negative sense stimulus signal.
Cause the multi-media signal of initial mood degree decline to will lead to trained subjects' mood worse, therefore need to will cause initial
The multi-media signal of mood degree decline is labeled as negative sense stimulus signal, and the negative sense stimulus signal is also corresponding with initial mood degree foundation
Relationship is simultaneously stored into mapping table, to remind subsequent trained object be used with caution during the auxiliary adjustment of mood degree.Together
When, negative sense stimulus signal and effective stimulus signal establish incidence relation with initial mood degree respectively, adjust in mood degree auxiliary
Cheng Zhongke check analysis carries out various dimensions and attempts adjustment, thus under the premise of guaranteeing that training subjects' mood degree is basicly stable, honor
The individual sex differernce of retraining subjects' mood degree and stimulus signal further promotes the validity of mood degree auxiliary adjustment and accurate
Property.Such as initial mood degree is identical, different trained objects, and it may be for object trained for one, having in mapping table
Imitating stimulus signal may be exactly negative sense stimulus signal, and for another trains object, negative sense stimulus signal exactly has
Stimulus signal is imitated, in this individual there are under larger difference situation, effective stimulus signal and negative sense are pierced in the mapping table
Energizing signal type is more, then can reduce the influence of individual sex differernce as far as possible.
Optionally, after step S20 further include:
Step S32, if detecting, the initial mood degree is constant within the default unit time, switches the initial mood of reference
Constant multi-media signal is spent, and marking the multi-media signal for causing initial mood degree constant is ineffective stimulation signal.
It is invalid that ineffective stimulation signal adjusts the initial mood degree of training object, but due to the individuality of training object
Difference, adjusting invalid stimulus signal to this training subjects' mood degree may be effective to the mood degree adjustment of another trained object,
So still ineffective stimulation signal is marked.If the ineffective stimulation signal of label be persistently judged the initial mood degree of adjustment without
It imitates and judges that invalid number is greater than prepending non-significant number, then delete the corresponding multi-media signal of ineffective stimulation signal, by nothing
The label of effect stimulus signal is erased.The appearance of ineffective stimulation signal is in order to avoid multi-media signal is to individual training object invalidation
When and by mistake delete.
In addition, after the step s 40, the negative sense stimulus signal and ineffective stimulation signal can be added to initial mood degree
Mapping table in, when carrying out the auxiliary adjustment of mood degree for subsequent trained object, to negative sense stimulus signal and invalid thorn
Energizing signal is verified again, is based ultimately upon negative sense stimulus signal and ineffective stimulation signal is persistently judged as negative sense and nothing respectively
The number of effect is retained and is erased to negative sense stimulus signal and ineffective stimulation signal, and the auxiliary adjustment of mood degree is further promoted
The accuracy and applicability of method.
Optionally, the mood degree auxiliary method of adjustment includes:
After having established the mapping table of be in a bad mood degree in default mood degree list, if special based on current brain wave
Sign determine training object initial mood degree be greater than presets very big threshold value, then to training object output negative sense stimulus signal and/or
Ineffective stimulation signal.
After the effective stimulus signal of be in a bad mood degree determines in default mood degree list, i.e., in default mood degree list
After the mapping table of be in a bad mood degree, continue the mood degree auxiliary adjustment of other training objects, if based on forebrain is worked as
Electric wave feature determines that the initial mood degree of training object is greater than and presets very big threshold value, then trains the mood of object at this time excessively fanatic
And excitement, it needs to restore calm, be pierced at this time to training object output negative sense stimulus signal and/or ineffective stimulation signal, such as negative sense
Energizing signal is the light music of tranquilizing the mind class, and ineffective stimulation signal is popular song, prevents from training the mood of object excessively surging and sharp
It is dynamic.Also, after having established the mapping table of be in a bad mood degree in default mood degree list, negative sense stimulus signal is just carried out
And/or the output of ineffective stimulation signal, it is because training object is in the shape that mood spends low (be less than and preset minimum threshold value)
State ratio, which is in mood, spends the state of high (be greater than preset very big threshold value) and is easier the movement for self injury occur, so preferentially
Establish the mapping table of effective stimulus signal when initial mood spends low.
Further, in the mood degree of the present invention auxiliary another embodiment of method of adjustment, brain can be established before step S10
Wave mood mapping table, specifically includes:
Step a collects the test emotional information of different trained objects, and determines different training pair based on test emotional information
The test mood degree of elephant；
For multiple trained objects as the sample set for establishing E.E.G mood mapping table, testing emotional information may include current instruction
The micro- expression, gesture motion, intonation of speaking etc. for practicing object, according to the test hearts such as emotional information and micro- expression, gesture, intonation of speaking
Knowledge of science determines the test mood degree of different trained objects.
Step b acquires the initial brain wave feature for the eeg signal that different trained objects are under test mood degree；
Step c presets the unit time to the multi-media signal that different trained object outputs prestore one by one, and acquires different instructions
Practice the process brain wave feature for the brain wave that object is again at when test mood is spent；
Collecting sample concentrates different trained objects to be in the eeg signal under test mood degree, and then analysis is corresponded to
Initial brain wave feature, then preset the unit time to the multi-media signal that different trained objects outputs prestore one by one, and adopt
Collect the process brain wave feature for the brain wave that different trained objects are again at when test mood is spent, thus to combine initial brain electricity
Wave characteristic and process brain wave feature generate brain wave characteristic model, avoid training the initial brain wave feature of object because for the first time
It tests and the error brought by moods such as is unfamiliar with, contradicts, improve the accuracy of brain wave characteristic model.
It is corresponding to generate the test mood degree according to the initial brain wave feature and process brain wave feature by step d
Brain wave characteristic model, until test mood degree traverses default mood degree list.
It, will be pre- after generating brain wave characteristic model with all test mood degree of default one an object of mood degree list
If the list of mood degree and the corresponding brain wave characteristic model associated storage of each test mood degree simultaneously generate E.E.G mood mapping table, with
For inquiring and obtaining initial mood degree when object being trained to participate in the auxiliary adjustment of mood degree.
Specifically, step S10 specifically: the target brain wave character modules of training object are determined based on current brain wave feature
Type；Determine that the target brain wave characteristic model subjects' mood degree is initial mood degree from default mood degree list, i.e., from E.E.G
It is searched in mood mapping table and obtains the corresponding initial mood degree of current brain wave feature, to realize the identification of initial mood degree
And acquisition.
The present invention also provides a kind of smart machine, the smart machine include: memory, processor, communication bus and
The mood degree auxiliary adjustment programme being stored on the memory:
The communication bus is for realizing the connection communication between processor and memory；
The processor is for executing the mood degree auxiliary adjustment programme, to realize above-mentioned mood degree auxiliary method of adjustment
The step of each embodiment.
The present invention also provides a kind of computer readable storage medium, the computer-readable recording medium storage has one
Perhaps more than one program the one or more programs can also be executed by one or more than one processor with
The step of embodiment each for realizing above-mentioned mood degree auxiliary method of adjustment.
Computer readable storage medium specific embodiment of the present invention and above-mentioned mood degree assist each embodiment of method of adjustment
Essentially identical, details are not described herein.
It should be noted that, in this document, the terms "include", "comprise" or its any other variant are intended to non-row
His property includes, so that the process, method, article or the system that include a series of elements not only include those elements, and
And further include other elements that are not explicitly listed, or further include for this process, method, article or system institute it is intrinsic
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including being somebody's turn to do
There is also other identical elements in the process, method of element, article or system.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can be realized by means of software and necessary general hardware platform, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on this understanding, technical solution of the present invention substantially in other words does the prior art
The part contributed out can be embodied in the form of software products, which is stored in one as described above
In storage medium (such as ROM/RAM, magnetic disk, CD), including some instructions are used so that terminal device (it can be mobile phone,
Computer, server, air conditioner or network equipment etc.) execute method described in each embodiment of the present invention.
The above is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair
Equivalent structure or equivalent flow shift made by bright specification and accompanying drawing content is applied directly or indirectly in other relevant skills
Art field, is included within the scope of the present invention.
Claims (10)
1. a kind of mood degree assists method of adjustment, which is characterized in that the mood degree auxiliary method of adjustment includes:
The current brain wave feature in the brain wave of training object is obtained, and training object is determined based on current brain wave feature
Initial mood degree；
If the initial mood degree, lower than minimum threshold value is preset, the multi-media signal prestored one by one to training object output is default
Unit time；
If the brain wave based on training object detects that the initial mood degree rises, the more matchmakers that initial mood degree will be caused to rise
Body signal is as effective stimulus signal；
Establish the mapping table of initial the mood degree and effective stimulus signal.
2. mood degree as described in claim 1 assists method of adjustment, which is characterized in that it is described establish the initial mood degree with
The step of mapping table of effective stimulus signal includes:
It records each effective stimulus signal and causes the ascensional range for originating mood degree within the default unit time；
The maximum effective stimulus signal of ascensional range for originating mood degree will be caused as goal stimulus signal, in the initial feelings
It is best positive emotional distress that goal stimulus signal is marked in the mapping table of thread degree.
3. mood degree as claimed in claim 2 assists method of adjustment, which is characterized in that if the initial mood degree is lower than
Minimum threshold value is preset, then includes: after exporting the step of multi-media signal prestored presets the unit time to training object one by one
If detecting the initial mood degree decline, switching causes the multi-media signal of initial mood degree decline, and marks and draw
The multi-media signal for playing initial mood degree decline is negative sense stimulus signal.
4. mood degree as claimed in claim 3 assists method of adjustment, which is characterized in that if the initial mood degree is lower than
Minimum threshold value is preset, then includes: after exporting the step of multi-media signal prestored presets the unit time to training object one by one
If detecting, the initial mood degree is constant within the default unit time, switches and quotes the constant more matchmakers of initial mood degree
Body signal, and marking the multi-media signal for causing initial mood degree constant is ineffective stimulation signal.
5. mood degree as claimed in claim 4 assists method of adjustment, which is characterized in that it is described establish the initial mood degree with
Include: after the step of mapping table of effective stimulus signal
The negative sense stimulus signal and ineffective stimulation signal are added in the mapping table of initial mood degree.
6. mood degree as claimed in claim 5 assists method of adjustment, which is characterized in that the mood degree assists method of adjustment packet
It includes:
After having established the mapping table of be in a bad mood degree in default mood degree list, if true based on current brain wave feature
Surely it trains the initial mood degree of object to be greater than and presets very big threshold value, then to training object output negative sense stimulus signal and/or in vain
Stimulus signal.
7. mood degree as described in claim 1 assists method of adjustment, which is characterized in that in the brain electricity for obtaining training object
Current brain wave feature in wave, and wrapped before determining the step of training the initial mood of object to spend based on current brain wave feature
It includes:
The test emotional information of different trained objects is collected, and determines the test feelings of different trained objects based on test emotional information
Thread degree；
Acquire the initial brain wave feature for the eeg signal that different trained objects are under test mood degree；
The unit time is preset to the multi-media signal that different trained object outputs prestore one by one, and acquires different trained objects again
The process brain wave feature of brain wave when being spent in test mood；
According to the initial brain wave feature and process brain wave feature, the corresponding brain wave feature of the test mood degree is generated
Model, until test mood degree traverses default mood degree list.
8. mood degree as described in claim 1 assists method of adjustment, which is characterized in that described true based on current brain wave feature
Surely the initial mood the step of spending for training object includes:
The target brain wave characteristic model of training object is determined based on current brain wave feature；
Determine that the target brain wave characteristic model subjects' mood degree is initial mood degree from default mood degree list.
9. a kind of smart machine, which is characterized in that the smart machine includes: memory, processor and is stored in the storage
On device and the mood degree auxiliary adjustment programme that can run on the processor, mood degree auxiliary adjustment programme is by the place
It manages and is realized when device executes such as the step of mood degree described in any item of the claim 1 to 8 auxiliary method of adjustment.
10. a kind of computer readable storage medium, which is characterized in that store degree of being in a bad mood on the computer readable storage medium
Adjustment programme is assisted, the mood degree auxiliary adjustment programme is realized when being executed by processor such as any one of claims 1 to 8 institute
The step of mood degree auxiliary method of adjustment stated.
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