CN108888277A - Psychological test method, system and terminal device - Google Patents

Psychological test method, system and terminal device Download PDF

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Publication number
CN108888277A
CN108888277A CN201810385931.6A CN201810385931A CN108888277A CN 108888277 A CN108888277 A CN 108888277A CN 201810385931 A CN201810385931 A CN 201810385931A CN 108888277 A CN108888277 A CN 108888277A
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answering
index
tested
answer
nervous
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CN108888277B (en
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曾光
刘奇玮
张祺
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Shenzhen City Technology Co Ltd
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Shenzhen City Technology Co Ltd
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/16Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
    • A61B5/165Evaluating the state of mind, e.g. depression, anxiety

Abstract

The present invention is suitable for psychoanalysis technical field, discloses a kind of psychological test method, system and terminal device, the method includes:The answer of each problem of tested psychological cognition parameter and answer of the object when answering each problem is obtained, and the answer of each problem of the psychological cognition parameter and answer according to tested object when answering each problem obtains the final score of psychological test;Or, psychological cognition parameter of the tested object when answering the problem of each option in each problem generates is obtained, and the final score of psychological test is obtained according to psychological cognition parameter of the tested object when answering the problem of each option in each problem generates;According to the corresponding relationship of the score and psychological test result that prestore, the corresponding psychological test result of final score is obtained.The present invention can solve the problem that the mood of existing psychological test method vulnerable to tested object etc. influences and leads to test result inaccuracy, can be improved the accuracy rate of psychological test result.

Description

Psychological test method, system and terminal device
Technical field
The invention belongs to psychoanalysis technical field more particularly to a kind of psychological test methods, system and terminal device.
Background technique
Psychological test is called Psychological Evaluation, and the meaning generally accepted by people now refers to according to certain psychology scientific principle By determining a kind of number to the psychological characteristics such as the ability, personality and mental health of people and behavior using certain operation sequence The value of quantization.Psychological Evaluation at this stage is with Psychological Evaluation scale for main assessment approach.Psychological test be by science, Objective, standard means of testing is tested the Unique character of people, analyzes, is evaluated.
Existing psychological test method is according to tested object answering to each question answering in Psychological Evaluation scale Case obtains a total score, according to total score obtains a corresponding psychoanalysis result.But this psychological test Method is easy to be influenced by factors such as the test interest of tested object, motivation, emotional state, attitude, physical conditions, if tested Object is influenced or is tested object by above-mentioned factor and deliberately answers wrong problem, then the result obtained using this psychological test method It is inaccurate.
Summary of the invention
In view of this, the embodiment of the invention provides a kind of psychological test method, system and terminal device, it is existing to solve Mood of the psychological test method vulnerable to tested object etc. influence and cause the problem of test result inaccuracy.
The first aspect of the embodiment of the present invention provides a kind of psychological test method, including:
The answer of each problem of tested psychological cognition parameter and answer of the object when answering each problem is obtained, and Psychological survey is obtained according to the answer of each problem of psychological cognition parameter and answer of the tested object when answering each problem The final score of examination;Or,
Psychological cognition parameter of the tested object when answering the problem of each option in each problem generates is obtained, and Psychological survey is obtained according to psychological cognition parameter of the tested object when answering the problem of each option in each problem generates The final score of examination;
According to the corresponding relationship of the score and psychological test result that prestore, the corresponding psychological test knot of final score is obtained Fruit.
The second aspect of the embodiment of the present invention provides a kind of psychological test system, including:
First final score obtains module, for obtaining psychological cognition parameter of the tested object when answering each problem With the answer of each problem of answer, and according to psychological cognition parameter of the tested object when answering each problem and answer The answer of each problem obtains the final score of psychological test;Or,
Second final score obtains module, is answering each option generation in each problem for obtaining tested object The problem of when psychological cognition parameter, and according to tested object when answering the problem of each option in each problem generates Psychological cognition parameter obtain the final score of psychological test;
Psychological test result obtains module, for the corresponding relationship according to the score and psychological test result that prestore, obtains The corresponding psychological test result of final score.
The third aspect of the embodiment of the present invention provides a kind of terminal device, including memory, processor and is stored in In memory and the computer program that can run on a processor, processor realize psychology as described above when executing computer program The step of test method.
The fourth aspect of the embodiment of the present invention provides a kind of computer readable storage medium, computer readable storage medium It is stored with computer program, psychological test method as described above is realized when computer program is executed by one or more processors Step.
Existing beneficial effect is the embodiment of the present invention compared with prior art:The embodiment of the present invention obtains tested first The answer of each problem of psychological cognition parameter and answer of the object when answering each problem, and returned according to tested object The answer of each problem of psychological cognition parameter and answer when answering each problem obtains the final score of psychological test;Or, obtaining Psychological cognition parameter of the tested object when answering the problem of each option in each problem generates is taken, and according to tested Psychological cognition parameter of the object when answering the problem of each option in each problem generates obtains the final of psychological test and obtains Point, then according to the corresponding relationship of the score and psychological test result that prestore, obtain the corresponding psychological test result of final score. The embodiment of the present invention is tested psychological cognition parameter or answer each problem of the object when answering each problem due to basis Psychological cognition parameter when the problem of each option generates adjusts or obtains final test score, can be objectively to tested Object carries out psychological test, can be improved the accuracy rate of psychological test result.
Detailed description of the invention
It to describe the technical solutions in the embodiments of the present invention more clearly, below will be to embodiment or description of the prior art Needed in attached drawing be briefly described, it should be apparent that, the accompanying drawings in the following description is only of the invention some Embodiment for those of ordinary skill in the art without any creative labor, can also be according to these Attached drawing obtains other attached drawings.
Fig. 1 is the implementation process schematic diagram for the psychological test method that one embodiment of the invention provides;
Fig. 2 is the schematic block diagram for the psychological test system that one embodiment of the invention provides;
Fig. 3 is the schematic block diagram for the terminal device that one embodiment of the invention provides.
Specific embodiment
In being described below, for illustration and not for limitation, the tool of such as particular system structure, technology etc is proposed Body details, so as to provide a thorough understanding of the present application embodiment.However, it will be clear to one skilled in the art that there is no these specific The application also may be implemented in the other embodiments of details.In other situations, it omits to well-known system, device, electricity The detailed description of road and method, so as not to obscure the description of the present application with unnecessary details.
It should be appreciated that ought use in this specification and in the appended claims, term " includes " instruction is described special Sign, entirety, step, operation, the presence of element and/or component, but be not precluded one or more of the other feature, entirety, step, Operation, the presence or addition of element, component and/or its set.
It is also understood that mesh of the term used in this present specification merely for the sake of description specific embodiment And be not intended to limit the application.As present specification and it is used in the attached claims, unless on Other situations are hereafter clearly indicated, otherwise " one " of singular, "one" and "the" are intended to include plural form.
It will be further appreciated that the term "and/or" used in present specification and the appended claims is Refer to any combination and all possible combinations of one or more of associated item listed, and including these combinations.
As used in this specification and in the appended claims, term " if " can be according to context quilt Be construed to " when ... " or " once " or " in response to determination " or " in response to detecting ".Similarly, phrase " if it is determined that " or " if detecting [described condition or event] " can be interpreted to mean according to context " once it is determined that " or " in response to true It is fixed " or " once detecting [described condition or event] " or " in response to detecting [described condition or event] ".
In order to illustrate technical solutions according to the invention, the following is a description of specific embodiments.
Fig. 1 is the implementation process schematic diagram for the psychological test method that one embodiment of the invention provides, for ease of description, only Show part related to the embodiment of the present invention.The executing subject of the embodiment of the present invention can be terminal device.Such as Fig. 1 institute Show, this method may comprise steps of:
Step S101:Obtain each problem of tested psychological cognition parameter and answer of the object when answering each problem Answer, and the answer of each problem of the psychological cognition parameter and answer according to tested object when answering each problem obtains To the final score of psychological test.
In embodiments of the present invention, it is tested the problem of object answer is pre-set, terminal device obtains tested pair Different options pair as the answer of each problem of psychological cognition parameter and answer when answering each problem, in each problem Different score values are answered, according to the score of the available each problem of the answer of each problem, are being answered often further according to tested object Psychological cognition parameter when a problem adjusts the score of each problem, and is calculated according to the score of each problem adjusted Final score.
As further embodiment of this invention, psychological cognition parameter includes nervous index, is absorbed in index;
Tested psychological cognition parameter of the object when answering each problem is obtained, including:
Tested video information of the object when answering each problem is obtained by picture pick-up device, is obtained by infrared sensor Body thermograph of the tested object when answering each problem is taken, tested object is obtained by Skin resistance sensor and is existed Skin resistance information when each problem is answered, and according to video information, body thermograph, the skin resistance acquisition of information Physical signs information of gender, age and the tested object of tested object when answering each problem, micro- expression information With micro- action message;
Tested voice messaging of the object when answering each problem is obtained by sound pick-up outfit, and voice messaging is converted For text information;
It is obtained according to gender, age, physical signs information, micro- expression information, micro- action message, voice messaging and text information To nervous index of the tested object when answering each problem;
Tested brain wave information of the object when answering each problem is obtained by eeg sensor, and according to brain wave Acquisition of information is tested absorbed index of the object when answering each problem.
In embodiments of the present invention, picture pick-up device can be any equipment imaged, such as camera, be set by camera shooting Priming system is tested video pictures of the object when answering each problem, obtains video information.Sound pick-up outfit can be it is any can The equipment of recording, such as recording pen record tested voice of the object when answering each problem by sound pick-up outfit, obtain language Message breath.Terminal device can be used any speech recognition software for converting speech into text and voice messaging be converted to text This information.Terminal device can be obtained according to the method for the absorbed index of brain wave acquisition of information according to brain wave information using any Take absorbed index of the tested object when answering each problem.
As further embodiment of this invention, physical signs information includes heart rate, heart rate variability, beating interval (Inter Beat Interval, IBI), blood pressure, blood oxygen concentration, skin resistance variation and body temperature;
According to video information, body thermograph, skin resistance acquisition of information be tested the gender of object, the age and by Physical signs information, micro- expression information and micro- action message of the test object when answering each problem, including:
Gender, the age of tested object are obtained according to video information;
According to video information obtain heart rate of the tested object when answering each problem, heart rate variability, blood oxygen concentration, Blood pressure, and tested beating interval of the object when answering each problem is obtained according to heart rate;
Skin pricktest resistive of the object when answering each problem is tested according to video information or skin resistance information acquisition Change;
Tested body temperature of the object when answering each problem is obtained according to body thermograph;
Tested micro- expression information and micro- action message of the object when answering each problem is obtained according to video information.
In embodiments of the present invention, tested heart rate, the heart of the object when answering each problem is obtained according to video information Rate variability, blood oxygen concentration, blood pressure, and obtained and be tested between beating of the object when answering each problem according to heart rate Every, including:
According to video information the region of the face-image of tested object is chosen to detect tested object in breathing The changing rule of capillary injection obtains tested heart rate, heart rate of the object when answering each problem according to changing rule Variability and blood oxygen concentration, and tested beating interval of the object when answering each problem is obtained according to heart rate;
The phase difference that the human body blood flow velocity of tested object is obtained according to video information, obtains according to phase difference Tested blood pressure of the object when answering each problem.
Wherein, obtaining tested beating interval of the object when answering each problem according to heart rate is specially:60 divided by the heart Rate obtains beating interval.
Skin pricktest resistive of the object when answering each problem is tested according to video information or skin resistance information acquisition Change, including:
It is tested two images of object according to acquiring video information, and obtains tested object according to two images and is returning Skin resistance variation when each problem is answered, two images are respectively the image and tested pair before tested object is answered a question Image when as answering a question;Or,
Skin resistance variation of the object when answering each problem is tested according to skin resistance information acquisition.
Wherein obtaining skin resistance variation of the tested object when answering each problem according to two images is specially:It will Two images carry out two images that color space is converted to after conversion, are believed according to the parameter that two images after conversion carry Breath determines the reflectivity changes situation of skin area to be measured, and determines going out for skin area to be measured according to reflectivity changes situation Sweat situation of change obtains skin resistance variation according to perspiration situation of change.Wherein, the parameter information of carrying include form and aspect, brightness, At least one of lightness and saturation degree.
Tested micro- expression information and micro- action message of the object when answering each problem, packet are obtained according to video information It includes:
The minor change of face of the object when answering each problem is tested according to acquiring video information, and according to face Minor change obtain tested micro- expression information of the object when answering each problem;
It is tested minor motion of the object when answering each problem according to acquiring video information, simultaneously by minor motion amplification The rule for detecting minor motion obtains fine motion work of the tested object when answering each problem according to the rule of minor motion and believes Breath.
As further embodiment of this invention, believed according to gender, age, physical signs information, micro- expression information, fine motion work Breath, voice messaging and text information obtain tested nervous index of the object when answering each problem, including:
By gender, age and physical signs information input into the first deep learning network model, the first potency, the are obtained One arousal and the first likability;
Micro- expression information and fine motion are made into information input into the second deep learning network model, obtain the second potency, the Two arousals and the second likability;
Voice messaging is input in third deep learning network model, third potency, third arousal and third are obtained Likability;
Text information is input in the 4th deep learning network model, the 4th potency, the 4th arousal and the 4th are obtained Likability;
According to the first potency, the first arousal, the first likability, and/or, the second potency, the second arousal, the second good opinion Degree, and/or, third potency, third arousal, third likability, and/or, the 4th potency, the 4th arousal, the 4th likability, Tested potency, arousal and likability of the object when answering each problem is obtained, and is being answered often according to tested object Potency, arousal and likability when a problem obtain tested nervous index of the object when answering each problem;Or,
According to the first potency, the first arousal, and/or, the second potency, the second arousal, and/or, third potency, third Arousal, and/or, the 4th potency, the 4th arousal obtain tested potency and wake-up of the object when answering each problem Degree, and potency and arousal according to tested object when answering each problem obtain tested object and each ask in answer Nervous index when topic.
Wherein, the first deep learning network model, the second deep learning network model, third deep learning network model, 4th deep learning network model is all based on the deep learning network model model of shot and long term memory network.First deep learning Network model can obtain the first potency, the first arousal and the first likability by gender, age and physical signs information Deep learning network model;Second deep learning network model is can to obtain the second effect by micro- expression information and micro- action message The deep learning network model of valence, the second arousal and the second likability;Third deep learning network model is can be by voice Information obtains the deep learning network model of third potency, third arousal and third likability;4th deep learning network mould Type is the deep learning network model that the 4th potency, the 4th arousal and the 4th likability can be obtained by text information.
According to the first potency, the first arousal, the first likability, and/or, the second potency, the second arousal, the second good opinion Degree, and/or, third potency, third arousal, third likability, and/or, the 4th potency, the 4th arousal, the 4th likability, Tested potency, arousal and likability of the object when answering each problem is obtained, can be, the first potency, first are called out Awake degree, the first likability, and/or, the second potency, the second arousal, the second likability, and/or, third potency, third wake up Degree, third likability, and/or, the 4th potency, the 4th arousal, the 4th likability are input to the 5th deep learning network model In, obtain tested potency, arousal and likability of the object when answering each problem.5th deep learning network model can With to the first deep learning network model and/or the second deep learning network model and/or third deep learning network model and/ Or the 4th the output valve of deep learning network model handled, obtain potency of the tested object when answering each problem, Arousal and likability, illustratively, the processing can be weighted average processing.Wherein, the 5th deep learning network model can To be confrontation neural network model.
According to the first potency, the first arousal, and/or, the second potency, the second arousal, and/or, third potency, third Arousal, and/or, the 4th potency, the 4th arousal obtain tested potency and wake-up of the object when answering each problem Degree, can be, by the first potency, the first arousal, and/or, the second potency, the second arousal, and/or, third potency, third Arousal, and/or, the 4th potency, the 4th arousal are input in the 6th deep learning network model, are obtained tested object and are existed Answer the potency and arousal when each problem.6th deep learning network model can call out the first potency of input, first It wakes up and spends, and/or, the second potency, the second arousal, and/or, third potency, third arousal, and/or, the 4th potency, the 4th Arousal is handled, and obtains tested potency and arousal of the object when answering each problem, illustratively, which can To be weighted average processing.Wherein, the 6th deep learning network model is also possible to fight neural network model.
Potency (valence) indicates the positive and negative property of mood, is the assessment to mood attribute;Arousal (arousal) indicates Mood physiological activation level and alertness;Likability (likability) expression is liked or is not liked, such as one section of view of viewing Frequently, the object that is monitored is liked or is not liked to the video.
Potency, arousal and likability can form a three dimensional mood space, and potency is X-axis, and arousal is Y-axis, good Sensitivity is Z axis.Tested potency, arousal and likability of the object when answering each problem indicates in three dimensional mood space For a point, the available tested object of distance in nervous region is preset when answering each problem according to this o'clock to first Nervous index, nervous index is higher, shows that tested object is more nervous.
Illustratively, the range that the first default nervous region can be potency is -85 to -75, and the range of arousal is 75 To 85, the range of likability is -5 to 5, and the region of the range composition of potency, arousal and likability is the first default nervous area Domain.The corresponding relationship of first distance and nervous index is prestored in terminal device, first distance refers to that tested object is being answered Potency, arousal and likability when each problem indicated in three dimensional mood space o'clock to the first default nervous region away from From according to this distance and the corresponding relationship of first distance and nervous index, available tested object are each asked in answer Nervous index when topic.
Similarly, potency and arousal can form a two-dimensional mood space, and potency is X-axis, and arousal is Y-axis.It is tested It tries potency and arousal of the object when answering each problem and is expressed as a point in two-dimensional mood space, according to this o'clock to the Nervous index of the available tested object of distance in two default nervous regions when answering each problem, nervous index are got over Height shows that tested object is more nervous.
Illustratively, the range that the second default nervous region can be potency is -85 to -75, and the range of arousal is 75 To 85, the region of the range composition of potency and arousal is the second default nervous region.Second distance is prestored in terminal device With the corresponding relationship of nervous index, second distance refers to potency and arousal of the tested object when answering each problem two Indicated in dimension sentimental space o'clock to the second default nervous region distance, according to this distance and second distance and nervous index Corresponding relationship, nervous index of the available tested object when answering each problem.
As further embodiment of this invention, according to psychological cognition parameter of the tested object when answering each problem and return The answer for each problem answered obtains the final score of psychological test, including:
Successively judge tested absorbed index of the object when answering each problem whether in default absorbed index range;
It is absorbed in first object problem of the index outside default absorbed index range if it exists, then obtains tested object again Absorbed index, nervous index when answering first object problem and the answer for answering first object problem again, until answering the Absorbed index when one target problem answers current tested object to first object in default absorbed index range again Absorbed index when problem, nervous index and the answer of first object problem is answered again be determined as tested object and answer first The answer of absorbed index, nervous index and first object problem when target problem;
If tested absorbed index of the object when answering each problem is in default absorbed index range, according to quilt Average nervous index is calculated in nervous index of the test object when answering each problem;
Whether the average nervous index of judgement is in default nervous index range;
If average anxiety index confirms that this psychological test is invalid outside default nervous index range;
If average anxiety index in default nervous index range, successively judges that tested object is answering each problem When nervous index and the difference of average nervous index whether be greater than nervous index threshold;
The difference of nervous index and average nervous index is greater than the second target problem of nervous index threshold if it exists, then obtains Nervous index and the answer of answer target problem again when tested object being taken to answer the second target problem again, until answering The difference of nervous index and average nervous index when the second target problem is less than or equal to nervous index threshold, and according to answer Each problem answer and answer again the second target problem answer calculate final score, or, according to tested object return Nervous index, average nervous index and nervous index threshold when answering the second target problem obtain repairing for the second target problem score Positive weights, and according to the amendment weight calculation final score of the answer of each problem of answer and each problem score;
If the difference of tested nervous index of the object when answering each problem and average nervous index is respectively less than or waits In nervous index threshold, then final score is calculated according to the answer of each problem of answer.
In embodiments of the present invention, presetting absorbed index range can be rule of thumb arranged.If tested object is asked in answer Absorbed index when topic illustrates tested object in absorbed answer in default absorbed index range;If tested object is returning Absorbed index when question and answer is inscribed illustrates that tested object is not absorbed in when answering the problem, then outside default absorbed index range It allows tested object to answer the problem again, obtains absorbed index, the nervous index when tested object answers the problem again Again the answer for answering the problem judges absorbed index at this time whether in default absorbed index range, if not existing, by Test object answers the problem again again, until absorbed index when tested object answers the problem is absorbed in index default Absorbed index, nervous index in range, and when answering current tested object to the problem again and the problem is answered again Absorbed index, nervous index and the problem of the answer when answering the problem as new tested object answer.
Default anxiety index range can be rule of thumb arranged.If average anxiety index is said outside default nervous index range Bright tested object is in entire test process, all in overstretched state, then it is assumed that this psychological test is invalid, Ke Yixuan Selecting the time retests tested object.
Nervous index threshold can be rule of thumb arranged, and answer often for example, nervous index threshold can be tested object The standard deviation of nervous index when a problem.If tested nervous index of the object when answering each problem refers to average anxiety Several differences is respectively less than or is equal to nervous index threshold, then calculates final score according to the answer of each problem of answer.Example Property, the corresponding score of each problem is added to obtain final score, certainly may be used by the corresponding score of the answer of each problem To calculate final score according to the answer of each problem of answer using other any achievable methods.
The difference of nervous index and average nervous index is greater than the second target problem of nervous index threshold if it exists, then has Two methods obtain final score.A kind of method is to allow tested object to answer the second target problem again, and obtain tested Nervous index of the object when answering the second target problem again, until nervous index and the average nervous index of target problem Difference is less than or equal to nervous index threshold, according to the answer of each problem of answer and again the answer meter of answer target problem Calculate final score.Another method is modified to the score of the second target problem, is calculated according to revised score final Score.Illustratively, if the difference of tested nervous index of the object when answering some problem and average nervous index is less than Or being equal to nervous index threshold, then the amendment weight of the problem score is 1;If tested object is tight when answering some problem The difference of tensile index and averagely nervous index is greater than nervous index threshold and is less than or equal to 2 times of anxiety index threshold, then should The amendment weight of problem score is 0.5;If tested nervous index of the object when answering some problem and average nervous index Difference be greater than 2 times of nervous index threshold and be less than or equal to 3 times of nervous index threshold, then the amendment power of the problem score Weight is 1/3;If the difference of tested nervous index of the object when answering some problem and average nervous index refers to greater than anxiety It counts 3 times of threshold value and is less than or equal to 4 times of nervous index threshold, then the amendment weight of the problem score is 0.25;With such It pushes away, obtains the amendment weight of the second target problem score.It is using the corresponding score of the answer of each problem as raw score, then former Beginning score is amendment score multiplied by amendment weight, is added the amendment score of each problem to obtain final score.
Step S102:Psychology of the tested object when answering the problem of each option in each problem generates is obtained to recognize Know parameter, and is obtained according to psychological cognition parameter of the tested object when answering the problem of each option in each problem generates To the final score of psychological test.
Step S102 and step S101 be or relationship, that is to say, that can be obtained finally by the method for step S102 Score can also obtain final score by the method for step S101.
In embodiments of the present invention, the problem of each option in each problem generates refers to according to certain of problem and problem A problem related with the option can be generated in a option.Assuming that there are four options for some problem, then according to the problem and four Four problems related to the respective option respectively can be generated in a option.Illustratively, it is assumed that problem is:You think it is yourself Valuable people?Four options are 1) to agree to very much, 2) agree to, 3) disagreeing, 4) very different meaning respectively, then are asked according to this Topic and four options produce four problems, are that 1) you agree to it is a valuable people yourself very much respectively?2) you agree to certainly Oneself is a valuable people?3) it oneself is a valuable people that you, which disagree,?4) your very different meaning oneself is a valuable The people of value?
Obtain psychological cognition parameter of the tested object when answering the problem of each option in each problem generates The specific steps class for being tested psychological cognition parameter of the object when answering each problem is obtained in specific steps and step S101 Seemingly, details are not described herein.
As further embodiment of this invention, asking for each option generation in each problem is being answered according to tested object Psychological cognition parameter when topic obtains the final score of psychological test, including:
Successively judging absorbed index of the tested object when answering the problem of each option in each problem generates is It is no to be absorbed in index range default;
It is absorbed in third target problem of the index outside default absorbed index range if it exists, then obtains tested object again The absorbed index and nervous index when third target problem are answered, until absorbed index when answering third target problem is default Absorbed index and nervous index when being absorbed in index range, and current tested object being answered to third target problem again is true It is set to absorbed index and nervous index when tested object answers third target problem;
If absorbed index of the tested object when answering the problem of each option in each problem generates is default It is absorbed in index range, then chooses anxiety of the tested object when answering the problem of different options in the same problem generate Answer of the nervous maximum option of index as the same problem in index;
The answer of each problem is successively chosen, and final score is calculated according to the answer of each problem.
In embodiments of the present invention, if tested object is when answering the problem of each option in each problem generates Index is absorbed in default absorbed index range, illustrates tested object in absorbed answer;It is absorbed in index if it exists default special Infuse index range outside third target problem, illustrate be tested object be not absorbed in when answering the third target problem, then allow by Test object answers the third target problem again, obtains absorbed finger when tested object answers the third target problem again Several and nervous index judges that absorbed index at this time whether in default absorbed index range, if not existing, is tested object again It is secondary to answer the third target problem again, until absorbed index when tested object answers the third target problem is being preset specially Absorbed index and nervous index when infusing in index range, and current tested object being answered to the third target problem again are made The absorbed index and nervous index when the third target problem are answered for new tested object.
If absorbed index of the tested object when answering the problem of each option in each problem generates is default It is absorbed in index range, then chooses anxiety of the tested object when answering the problem of different options in the same problem generate Answer of the nervous maximum option of index as the same problem in index;The answer of each problem is successively chosen, and according to every The answer of a problem calculates final score.Illustratively, the problem of being generated with above-mentioned each option in each problem carries out When illustrating, for example for, obtain tested object and (for example all answer "Yes" with identical answer or all answer " no It is ") nervous index when answering this four the problem of generating respectively, choose the nervous maximum option of index answering as the problem Case successively chooses the answer of each problem, and final score is calculated according to the answer of each problem, can be and asks each The corresponding score of the answer of topic is added to obtain final score.
Step S103:According to the corresponding relationship of the score and psychological test result that prestore, the corresponding heart of final score is obtained Manage test result.
The corresponding relationship that score Yu psychological test result are prestored in terminal device can obtain most according to the corresponding relationship The corresponding psychological test of whole score is as a result, the psychological test result is the test result of this psychological test.
In embodiments of the present invention, tested psychological cognition parameter of the object when answering each problem is obtained first and is returned The answer for each problem answered, and according to each of psychological cognition parameter of the tested object when answering each problem and answer The answer of problem obtains the final score of psychological test;Or, obtaining tested object is answering each option in each problem Psychological cognition parameter when the problem of generation, and asking for each option generation in each problem is being answered according to tested object Psychological cognition parameter when topic obtains the final score of psychological test, then according to pair of the score and psychological test result that prestore It should be related to, obtain the corresponding psychological test result of final score.The embodiment of the present invention is due to every in answer according to object is tested Psychological cognition parameter when the problem of psychological cognition parameter when a problem or each option for answering each problem generate is adjusted Whole or acquisition final test score, objectively can carry out psychological test to tested object, can be improved psychological test result Accuracy rate.
It should be noted that all citings in above-described embodiment are used for the purpose of explaining technical solution of the present invention, and It is not used in the restriction present invention.
It should be understood that the size of the serial number of each step is not meant that the order of the execution order in above-described embodiment, each process Execution sequence should be determined by its function and internal logic, the implementation process without coping with the embodiment of the present invention constitutes any limit It is fixed.
Fig. 2 be one embodiment of the invention provide psychological test system schematic block diagram, for ease of description, only show with The relevant part of the embodiment of the present invention.
In embodiments of the present invention, psychological test system 2 includes:
First final score obtains module 21, for obtaining psychological cognition ginseng of the tested object when answering each problem The answer of number and each problem answered, and psychological cognition parameter and answer according to tested object when answering each problem The answer of each problem obtain the final score of psychological test;Or,
Second final score obtains module 22, is answering each option life in each problem for obtaining tested object At the problem of when psychological cognition parameter, and answering the problem of each option in each problem generates according to tested object When psychological cognition parameter obtain the final score of psychological test;
Psychological test result obtains module 23, for the corresponding relationship according to the score and psychological test result that prestore, obtains Obtain the corresponding psychological test result of final score.
Optionally, psychological cognition parameter includes nervous index, is absorbed in index;
First final score obtains module 21:
Feature extraction unit is believed for obtaining video of the tested object when answering each problem by picture pick-up device Breath obtains tested body thermograph of the object when answering each problem by infrared sensor, is passed by skin resistance Sensor obtains tested skin resistance information of the object when answering each problem, and according to video information, body thermograph, The skin resistance acquisition of information is tested the physiology of gender, age and the tested object of object when answering each problem Indication information, micro- expression information and micro- action message;
Voice acquisition unit is believed for obtaining voice of the tested object when answering each problem by sound pick-up outfit Breath, and voice messaging is converted into text information;
Nervous index acquiring unit, for being believed according to gender, age, physical signs information, micro- expression information, fine motion work Breath, voice messaging and text information obtain tested nervous index of the object when answering each problem;
Index acquiring unit is absorbed in, for obtaining tested brain of the object when answering each problem by eeg sensor Wave information, and absorbed index of the object when answering each problem is tested according to brain wave acquisition of information.
Optionally, physical signs information includes heart rate, heart rate variability, beating interval, blood pressure, blood oxygen concentration, skin Skin resistance variations and body temperature;
Feature extraction unit further includes:
Fisrt feature extracts subelement, for obtaining gender, the age of tested object according to video information;
Second feature extracts subelement, for obtaining the tested heart of the object when answering each problem according to video information Rate, heart rate variability, blood oxygen concentration, blood pressure, and tested object fighting when answering each problem is obtained according to heart rate Dynamic interval;
Third feature extracts subelement, is answering for being tested object according to video information or skin resistance information acquisition Skin resistance variation when each problem;
Fourth feature extracts subelement, for obtaining tested object when answering each problem according to body thermograph Body temperature;
Fifth feature extracts subelement, micro- when answering each problem for obtaining tested object according to video information Expression information and micro- action message.
Optionally, nervous index acquiring unit includes:
First deep learning subelement is used for gender, age and physical signs information input to the first deep learning net In network model, the first potency, the first arousal and the first likability are obtained;
Second deep learning subelement, for micro- expression information and fine motion to be made information input to the second deep learning network In model, the second potency, the second arousal and the second likability are obtained;
Third deep learning subelement obtains for voice messaging to be input in third deep learning network model Three potency, third arousal and third likability;
4th deep learning subelement obtains for text information to be input in the 4th deep learning network model Four potency, the 4th arousal and the 4th likability;
First nervous index obtains subelement, is used for according to the first potency, the first arousal, the first likability, and/or, Second potency, the second arousal, the second likability, and/or, third potency, third arousal, third likability, and/or, the Four potency, the 4th arousal, the 4th likability obtain tested potency, arousal of the object when answering each problem and become reconciled Sensitivity, and potency, arousal and likability according to tested object when answering each problem obtain tested object and are returning Answer nervous index when each problem;Or,
Second nervous index obtains subelement, for according to the first potency, the first arousal, and/or, the second potency, the Two arousals, and/or, third potency, third arousal, and/or, the 4th potency, the 4th arousal obtain tested object and exist The potency and arousal when each problem, and potency and arousal according to tested object when answering each problem are answered, Obtain tested nervous index of the object when answering each problem.
Optionally, the first final score acquisition module 21 further includes:
First judging unit, for successively judging tested absorbed index of the object when answering each problem whether pre- If being absorbed in index range;
First processing units, for being absorbed in first object problem of the index outside default absorbed index range if it exists, then It obtains absorbed index when tested object answers first object problem again, nervous index and answers first object problem again Answer, until absorbed index when answering first object problem is in default absorbed index range, and by current tested pair As when answering first object problem again absorbed index, nervous index and answer the answer of first object problem again and be determined as The answer of absorbed index, nervous index and first object problem when tested object answer first object problem;
Average anxiety exponent calculation unit, if for tested absorbed index of the object when answering each problem pre- If being absorbed in index range, then average anxiety is calculated according to tested nervous index of the object when answering each problem and referred to Number;
Second judgment unit, for judging average nervous index whether in default nervous index range;
Invalid unit is confirmed, if confirming that this psychology is surveyed for average nervous index outside default nervous index range Examination is invalid;
Third judging unit, if successively judgement is tested for average nervous index in default nervous index range Whether the difference of nervous index of the object when answering each problem and average nervous index is greater than nervous index threshold;
The second processing unit, the difference for nervous index if it exists and average nervous index are greater than nervous index threshold Second target problem then obtains nervous index when tested object answers the second target problem again and answers target again and asks The answer of topic, until the difference of nervous index and average nervous index when answering the second target problem refers to less than or equal to anxiety Number threshold values, and the answer calculating final score of the second target problem is answered according to the answer of each problem of answer and again, or, Nervous index, average nervous index and nervous index threshold when answering the second target problem according to tested object obtain second The amendment weight of target problem score, and according to the amendment weight calculation of the answer of each problem of answer and each problem score Final score;
Third processing unit, if for tested nervous index of the object when answering each problem and average nervous index Difference be respectively less than or be equal to nervous index threshold, then final score is calculated according to the answer of each problem of answer.
Optionally, the second final score acquisition module 22 further includes:
4th judging unit, for successively judging that tested object is answering asking for each option generation in each problem Whether absorbed index when topic is in default absorbed index range;
Fourth processing unit, for being absorbed in third target problem of the index outside default absorbed index range if it exists, then The absorbed index and nervous index when tested object answers third target problem again are obtained, until answering third target problem When absorbed index in default absorbed index range, and it is special when current tested object to be answered to third target problem again Note index and nervous index are determined as absorbed index and nervous index when tested object answers third target problem;
Answer acquiring unit, if when for being tested object the problem of answering each option generation in each problem It is raw then to choose different options of the tested object in the same problem of answer in default absorbed index range for absorbed index At the problem of when nervous index in answer of the nervous maximum option of index as the same problem;
Final score computing unit is calculated for successively choosing the answer of each problem, and according to the answer of each problem Final score.
It is apparent to those skilled in the art that for convenience of description and succinctly, only with above-mentioned each function Can unit, module division progress for example, in practical application, can according to need and by above-mentioned function distribution by different Functional unit, module are completed, i.e., the internal structure of the psychological test system is divided into different functional unit or module, with Complete all or part of function described above.Each functional unit in embodiment, module can integrate single in a processing In member, it is also possible to each unit and physically exists alone, can also be integrated in one unit with two or more units, on It states integrated unit both and can take the form of hardware realization, can also realize in the form of software functional units.In addition, each Functional unit, module specific name be also only for convenience of distinguishing each other, the protection scope being not intended to limit this application.On The specific work process for stating unit in device, module, can refer to corresponding processes in the foregoing method embodiment, no longer superfluous herein It states.
Fig. 3 is the schematic block diagram for the terminal device that one embodiment of the invention provides.As shown in figure 3, the terminal of the embodiment Equipment 3 includes:It one or more processors 30, memory 31 and is stored in the memory 31 and can be in the processor The computer program 32 run on 30.The processor 30 realizes above-mentioned each psychological test when executing the computer program 32 Step in embodiment of the method, such as step S101 to S103 shown in FIG. 1.Alternatively, the processor 30 executes the calculating The function of each module/unit in above-mentioned psychological test system embodiment, such as module 21 to 23 shown in Fig. 2 are realized when machine program 32 Function.
Illustratively, the computer program 32 can be divided into one or more module/units, it is one or Multiple module/units are stored in the memory 31, and are executed by the processor 30, to complete the application.Described one A or multiple module/units can be the series of computation machine program instruction section that can complete specific function, which is used for Implementation procedure of the computer program 32 in the terminal device 3 is described.For example, the computer program 32 can be divided It is cut into the first final score and obtains module, the second final score acquisition module and psychological test result acquisition module.
First final score obtains module, for obtaining psychological cognition parameter of the tested object when answering each problem With the answer of each problem of answer, and according to psychological cognition parameter of the tested object when answering each problem and answer The answer of each problem obtains the final score of psychological test;Or,
Second final score obtains module, is answering each option generation in each problem for obtaining tested object The problem of when psychological cognition parameter, and according to tested object when answering the problem of each option in each problem generates Psychological cognition parameter obtain the final score of psychological test;
Psychological test result obtains module, for the corresponding relationship according to the score and psychological test result that prestore, obtains The corresponding psychological test result of final score.
Other modules or unit can refer to the description in embodiment shown in Fig. 2, and details are not described herein.
The terminal device can be desktop PC, notebook, palm PC and cloud server etc. and calculate equipment. The terminal device 3 includes but are not limited to processor 30, memory 31.It will be understood by those skilled in the art that Fig. 3 is only One example of terminal device, does not constitute the restriction to terminal device 3, may include components more more or fewer than diagram, Perhaps combine certain components or different components, for example, the terminal device 3 can also include input equipment, output equipment, Network access equipment, bus etc..
The processor 30 can be central processing unit (Central Processing Unit, CPU), can also be Other general processors, digital signal processor (Digital Signal Processor, DSP), specific integrated circuit (Application Specific Integrated Circuit, ASIC), field programmable gate array (Field- Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic, Discrete hardware components etc..General processor can be microprocessor or the processor is also possible to any conventional processor Deng.
The memory 31 can be the internal storage unit of the terminal device, such as the hard disk or interior of terminal device It deposits.What the memory 31 was also possible to be equipped on the External memory equipment of the terminal device, such as the terminal device inserts Connect formula hard disk, intelligent memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card, flash memory Block (Flash Card) etc..Further, the memory 31 can also both include the internal storage unit of terminal device or wrap Include External memory equipment.The memory 31 is for storing needed for the computer program 32 and the terminal device other Program and data.The memory 31 can be also used for temporarily storing the data that has exported or will export.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, is not described in detail or remembers in some embodiment The part of load may refer to the associated description of other embodiments.
Those of ordinary skill in the art may be aware that list described in conjunction with the examples disclosed in the embodiments of the present disclosure Member and algorithm steps can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually It is implemented in hardware or software, the specific application and design constraint depending on technical solution.Professional technician Each specific application can be used different methods to achieve the described function, but this realization is it is not considered that exceed Scope of the present application.
In embodiment provided herein, it should be understood that disclosed psychological test system and method, Ke Yitong Other modes are crossed to realize.For example, psychological test system embodiment described above is only schematical, for example, described The division of module or unit, only a kind of logical function partition, there may be another division manner in actual implementation, such as more A unit or assembly can be combined or can be integrated into another system, or some features can be ignored or not executed.It is another Point, shown or discussed mutual coupling or direct-coupling or communication connection can be through some interfaces, device or The INDIRECT COUPLING or communication connection of unit can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme 's.
It, can also be in addition, each functional unit in each embodiment of the application can integrate in one processing unit It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list Member both can take the form of hardware realization, can also realize in the form of software functional units.
If the integrated module/unit be realized in the form of SFU software functional unit and as independent product sale or In use, can store in a computer readable storage medium.Based on this understanding, the application realizes above-mentioned implementation All or part of the process in example method, can also instruct relevant hardware to complete, the meter by computer program Calculation machine program can be stored in a computer readable storage medium, the computer program when being executed by processor, it can be achieved that on The step of stating each embodiment of the method.Wherein, the computer program includes computer program code, the computer program generation Code can be source code form, object identification code form, executable file or certain intermediate forms etc..The computer-readable medium May include:Any entity or device, recording medium, USB flash disk, mobile hard disk, magnetic of the computer program code can be carried Dish, CD, computer storage, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium etc..It should be noted that described The content that computer-readable medium includes can carry out increasing appropriate according to the requirement made laws in jurisdiction with patent practice Subtract, such as in certain jurisdictions, according to legislation and patent practice, computer-readable medium do not include be electric carrier signal and Telecommunication signal.
Embodiment described above is only to illustrate the technical solution of the application, rather than its limitations;Although referring to aforementioned reality Example is applied the application is described in detail, those skilled in the art should understand that:It still can be to aforementioned each Technical solution documented by embodiment is modified or equivalent replacement of some of the technical features;And these are modified Or replacement, the spirit and scope of each embodiment technical solution of the application that it does not separate the essence of the corresponding technical solution should all Comprising within the scope of protection of this application.

Claims (10)

1. a kind of psychological test method, which is characterized in that including:
The answer of each problem of tested psychological cognition parameter and answer of the object when answering each problem of acquisition, and according to The answer of each problem of psychological cognition parameter and the answer of the tested object when answering each problem obtains the heart Manage the final score of test;Or,
Psychological cognition parameter when obtaining tested object the problem of answering each option generation in each problem, and according to Psychological cognition parameter of the tested object when answering the problem of each option in each problem generates obtains psychological survey The final score of examination;
According to the corresponding relationship of the score and psychological test result that prestore, the corresponding psychological test knot of the final score is obtained Fruit.
2. psychological test method as described in claim 1, which is characterized in that the psychological cognition parameter include nervous index, It is absorbed in index;
Described obtain is tested psychological cognition parameter of the object when answering each problem, including:
Tested video information of the object when answering each problem is obtained by picture pick-up device, quilt is obtained by infrared sensor Body thermograph of the test object when answering each problem obtains tested object by Skin resistance sensor and is answering Skin resistance information when each problem, and according to the video information, the body thermograph, the skin resistance information Obtain physical signs information, the micro- expression of gender, age and the tested object of tested object when answering each problem Information and micro- action message;
Tested voice messaging of the object when answering each problem is obtained by sound pick-up outfit, and the voice messaging is converted For text information;
According to the gender, age, the physical signs information, micro- expression information, micro- action message, described Voice messaging and the text information obtain tested nervous index of the object when answering each problem;
Tested brain wave information of the object when answering each problem is obtained by eeg sensor, and according to the brain wave Acquisition of information is tested absorbed index of the object when answering each problem.
3. psychological test method as claimed in claim 2, which is characterized in that the physical signs information includes heart rate, heart rate Variability, beating interval, blood pressure, blood oxygen concentration, skin resistance variation and body temperature;
The property that object is tested according to the video information, the body thermograph, the skin resistance acquisition of information Not, physical signs information, micro- expression information and the micro- action message of age and tested object when answering each problem, packet It includes:
Gender, the age of tested object are obtained according to the video information;
According to the video information obtain heart rate of the tested object when answering each problem, heart rate variability, blood oxygen concentration, Blood pressure, and tested beating interval of the object when answering each problem is obtained according to the heart rate;
Skin pricktest of the object when answering each problem is tested according to the video information or the skin resistance information acquisition Resistive;
Tested body temperature of the object when answering each problem is obtained according to the body thermograph;
Tested micro- expression information and micro- action message of the object when answering each problem is obtained according to the video information.
4. psychological test method as claimed in claim 2, which is characterized in that it is described according to the gender, it is the age, described Physical signs information, micro- expression information, micro- action message, the voice messaging and the text information are tested Nervous index of the object when answering each problem is tried, including:
By the gender, the age and the physical signs information input into the first deep learning network model, the is obtained One potency, the first arousal and the first likability;
Micro- expression information and the fine motion are made into information input into the second deep learning network model, obtain the second effect Valence, the second arousal and the second likability;
The voice messaging is input in third deep learning network model, third potency, third arousal and third are obtained Likability;
The text information is input in the 4th deep learning network model, the 4th potency, the 4th arousal and the 4th are obtained Likability;
According to first potency, first arousal, first likability, and/or, second potency, described Two arousals, second likability, and/or, the third potency, the third arousal, the third likability, and/ Or, the 4th potency, the 4th arousal, the 4th likability, obtain tested object when answering each problem Potency, arousal and likability, and potency, arousal and good opinion according to the tested object when answering each problem Degree obtains tested nervous index of the object when answering each problem;Or,
According to first potency, first arousal, and/or, second potency, second arousal, and/or, The third potency, the third arousal, and/or, the 4th potency, the 4th arousal obtain tested object Potency and arousal when answering each problem, and according to potency of the tested object when answering each problem and call out It wakes up and spends, obtain tested nervous index of the object when answering each problem.
5. psychological test method as claimed in claim 2, which is characterized in that described to be answered often according to the tested object The answer of each problem of psychological cognition parameter and the answer when a problem obtains the final score of psychological test, including:
Successively judge tested absorbed index of the object when answering each problem whether in default absorbed index range;
It is absorbed in first object problem of the index outside the default absorbed index range if it exists, then obtains tested object again Absorbed index, nervous index when answering the first object problem and the answer for answering the first object problem again, directly To absorbed index when answering the first object problem in the default absorbed index range, and by current tested object Absorbed index, nervous index when answering the first object problem again and the answer for answering the first object problem again It is determined as absorbed index when tested object answers the first object problem, nervous index and the first object problem Answer;
If tested absorbed index of the object when answering each problem is in the default absorbed index range, according to institute It states nervous index of the tested object when answering each problem and average nervous index is calculated;
Judge the average nervous index whether in default nervous index range;
If the average nervous index confirms that this psychological test is invalid outside the default nervous index range;
If the average anxiety index successively judges that tested object is being answered each in the default nervous index range Whether the difference of nervous index and the average nervous index when problem is greater than nervous index threshold;
The difference of nervous index and the average nervous index is greater than the second target problem of the nervous index threshold if it exists, It then obtains nervous index when tested object answers second target problem again and answers the target problem again Answer, until the difference of nervous index and the average nervous index when answering second target problem is less than or equal to institute It states nervous index threshold, and described answers according to the answer of each problem of the answer and again second target problem Answer calculates final score, or, nervous index when answering second target problem according to tested object, described average tight Tensile index and the nervous index threshold obtain the amendment weight of the second target problem score, and according to the every of the answer The amendment weight calculation final score of the answer of a problem and each problem score;
If the difference of tested nervous index of the object when answering each problem and the average nervous index is respectively less than or waits In the nervous index threshold, then final score is calculated according to the answer of each problem of the answer.
6. psychological test method as claimed in claim 2, which is characterized in that described to be answered often according to the tested object Psychological cognition parameter when the problem of each option in a problem generates obtains the final score of psychological test, including:
Successively judge absorbed index of the tested object when answering the problem of each option in each problem generates whether In default absorbed index range;
It is absorbed in third target problem of the index outside the default absorbed index range if it exists, then obtains tested object again The absorbed index and nervous index when the third target problem are answered, until absorbed finger when answering the third target problem Being absorbed in when counting in the default absorbed index range, and answering current tested object to the third target problem again Index and nervous index are determined as absorbed index and nervous index when tested object answers the third target problem;
If absorbed index of the tested object when answering the problem of each option in each problem generates is described default It is absorbed in index range, then chooses anxiety of the tested object when answering the problem of different options in the same problem generate Answer of the nervous maximum option of index as the same problem in index;
The answer of each problem is successively chosen, and final score is calculated according to the answer of each problem.
7. a kind of psychological test system, which is characterized in that including:
First final score obtains module, for obtaining psychological cognition parameter of the tested object when answering each problem and returning The answer for each problem answered, and according to psychological cognition parameter of the tested object when answering each problem and described time The answer for each problem answered obtains the final score of psychological test;Or,
Second final score obtains module, is answering asking for each option generation in each problem for obtaining tested object Psychological cognition parameter when topic, and according to the tested object when answering the problem of each option in each problem generates Psychological cognition parameter obtain the final score of psychological test;
Psychological test result obtains module, the corresponding relationship of the score and psychological test result that prestore for basis, described in acquisition The corresponding psychological test result of final score.
8. psychological test system as claimed in claim 6, which is characterized in that the psychological cognition parameter include nervous index, It is absorbed in index;
First final score obtains module:
Feature extraction unit is led to for obtaining tested video information of the object when answering each problem by picture pick-up device It crosses infrared sensor and obtains tested body thermograph of the object when answering each problem, obtained by Skin resistance sensor Skin resistance information of the tested object when answering each problem is taken, and according to the video information, the body thermal imaging Figure, the skin resistance acquisition of information are tested gender, age and the tested object of object when answering each problem Physical signs information, micro- expression information and micro- action message;
Voice acquisition unit, for obtaining tested voice messaging of the object when answering each problem by sound pick-up outfit, and The voice messaging is converted into text information;
Nervous index acquiring unit, for being believed according to the gender, the age, the physical signs information, micro- expression Breath, micro- action message, the voice messaging and the text information obtain tested object when answering each problem Nervous index;
Index acquiring unit is absorbed in, for obtaining tested brain wave of the object when answering each problem by eeg sensor Information, and absorbed index of the object when answering each problem is tested according to the brain wave acquisition of information.
9. a kind of terminal device, including memory, processor and storage are in the memory and can be on the processor The computer program of operation, which is characterized in that the processor realizes such as claim 1 to 6 when executing the computer program The step of any one psychological test method.
10. a kind of computer readable storage medium, which is characterized in that the computer-readable recording medium storage has computer journey Sequence realizes the psychological test as described in any one of claim 1 to 6 when the computer program is executed by one or more processors The step of method.
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Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109872026A (en) * 2018-12-14 2019-06-11 深圳壹账通智能科技有限公司 Evaluation result generation method, device, equipment and computer readable storage medium
CN109903096A (en) * 2019-03-05 2019-06-18 上海硕恩网络科技股份有限公司 A kind of financial consumption psychological test method of calibration based on social platform
CN109993053A (en) * 2019-01-23 2019-07-09 平安科技(深圳)有限公司 Electronic device, interview householder method and storage medium based on micro- Expression Recognition
CN110169770A (en) * 2019-05-24 2019-08-27 西安电子科技大学 The fine granularity visualization system and method for mood brain electricity
CN110279426A (en) * 2019-06-03 2019-09-27 常州为伊心理咨询有限公司 A kind of comprehensive middle school student's psychological assessment system
CN111265226A (en) * 2020-03-03 2020-06-12 淮安信息职业技术学院 System and method for detecting psychological stress management ability
CN112971746A (en) * 2021-03-31 2021-06-18 重庆风云际会智慧科技有限公司 Psychological assessment system
CN113727639A (en) * 2019-06-10 2021-11-30 国际商业机器公司 Cognitive problem generation based on user activity

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030187336A1 (en) * 2002-03-29 2003-10-02 Hiroshi Odagiri Portable device for collecting information about living body, and system and method for collecting information about living body
RU2402268C1 (en) * 2009-07-21 2010-10-27 Федеральное государственное учреждение "Уральский научно-исследовательский институт дерматовенерологии и иммунопатологии Федерального агентства по высокотехнологичной медицинской помощи" (ФГУ "УрНИИДВиИ Росмедтехнологий") Diagnostic technique for anxiety level
CN104856704A (en) * 2015-03-31 2015-08-26 鲍崇智 Method and system for objective-subjective combined psychological assessment
CN105433961A (en) * 2015-12-17 2016-03-30 国家电网公司 Method for evaluating mental health status of electrical network enterprise staff
CN106264568A (en) * 2016-07-28 2017-01-04 深圳科思创动实业有限公司 Contactless emotion detection method and device
CN107527011A (en) * 2017-07-13 2017-12-29 深圳科思创动实业有限公司 A kind of contactless dermatopolyneuritis variation tendency detection method, device and equipment
CN107799165A (en) * 2017-09-18 2018-03-13 华南理工大学 A kind of psychological assessment method based on virtual reality technology
CN109805943A (en) * 2017-11-20 2019-05-28 徐熠 A kind of intelligent evaluating system and method based on micro- Expression Recognition

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030187336A1 (en) * 2002-03-29 2003-10-02 Hiroshi Odagiri Portable device for collecting information about living body, and system and method for collecting information about living body
RU2402268C1 (en) * 2009-07-21 2010-10-27 Федеральное государственное учреждение "Уральский научно-исследовательский институт дерматовенерологии и иммунопатологии Федерального агентства по высокотехнологичной медицинской помощи" (ФГУ "УрНИИДВиИ Росмедтехнологий") Diagnostic technique for anxiety level
CN104856704A (en) * 2015-03-31 2015-08-26 鲍崇智 Method and system for objective-subjective combined psychological assessment
CN105433961A (en) * 2015-12-17 2016-03-30 国家电网公司 Method for evaluating mental health status of electrical network enterprise staff
CN106264568A (en) * 2016-07-28 2017-01-04 深圳科思创动实业有限公司 Contactless emotion detection method and device
CN107527011A (en) * 2017-07-13 2017-12-29 深圳科思创动实业有限公司 A kind of contactless dermatopolyneuritis variation tendency detection method, device and equipment
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