阅读说明：本技术 汽车驾驶员大脑逻辑负荷测量方法和系统 (Method and system for measuring brain logic load of automobile driver ) 是由 吕植勇 何奇珂 胡一婷 赵裕 于 2021-01-07 设计创作，主要内容包括：本发明公开了一种汽车驾驶员大脑逻辑负荷测量方法和系统,大脑逻辑负荷测量方法包括设置模拟驾驶环境在每个驾驶场景下的副任务,检测驾驶员在模拟驾驶过程中对副任务的反应行为,根据反应行为确定驾驶员的大脑逻辑负荷测量结果等步骤。本发明能够测量出驾驶员人脑剩余的工作能力,所测量出的驾驶员对副任务的大脑逻辑负荷能够间接反映出驾驶员对驾驶主任务的大脑逻辑负荷,因此能够客观地评价汽车驾驶员的脑负荷,而且由于副任务相对更容易量化为脑负荷,因此对副任务的脑负荷分析速度较快,实时性较好,相应地对主任务的脑负荷分析也能取得较佳的实时性。本发明广泛应用于脑负荷测量技术领域。(The invention discloses a brain logic load measuring method and a brain logic load measuring system for an automobile driver. The invention can measure the residual working capacity of the brain of the driver, the measured brain logic load of the driver to the subtask can indirectly reflect the brain logic load of the driver to the main driving task, so the brain logic load of the automobile driver can be objectively evaluated, and the subtask is relatively easier to quantify into the brain logic load, so the analysis speed of the brain logic load of the subtask is higher, the real-time performance is better, and correspondingly, the better real-time performance can be obtained for the brain logic load analysis of the main task. The invention is widely applied to the technical field of brain load measurement.)

1. A brain logic load measuring method for an automobile driver based on a subtask is characterized by comprising the following steps:

generating a simulated driving environment for a driver to drive in a simulated driving environment; the simulated driving environment has a plurality of driving scenarios;

setting a secondary task of the simulated driving environment under each driving scene; the subtask comprises arithmetic calculation and open question and answer;

detecting a reaction behavior of the driver to the subtask during the simulated driving;

determining a brain logic load measurement of the driver according to the detected reaction behavior.

2. The method for measuring brain logic load of automobile drivers according to claim 1, wherein the setting of the subtasks of the simulated driving environment in each driving scene comprises:

generating a plurality of arithmetic calculation problems under each driving scene respectively; the difficulty of each arithmetic calculation problem is not all the same, and each arithmetic calculation problem corresponds to a standard answer and the interval time corresponding to the difficulty of the standard answer;

generating a plurality of open questions and answers under each driving scene respectively; in the multiple open questions and answers, two identical open questions and answers exist;

and playing each arithmetic calculation question and each question and answer question in voice in sequence in the simulated driving environment.

3. The method for measuring brain logic load of automobile driver according to claim 2, wherein the detecting the reaction behavior of the driver to the subtask during the simulated driving comprises:

after each path of the arithmetic computation question is played, acquiring the voice answer of the driver to the arithmetic computation question in the corresponding interval time;

carrying out voice analysis on the voice answer of the driver to the arithmetic computation question to obtain a first answer;

after each question and answer is played, acquiring the voice answer of the driver to the question and answer and the reaction time of the driver for making the voice answer;

carrying out voice analysis on the voice answer of the driver to the open question-answer question to obtain a second answer;

and taking the first answer, the second answer and the reaction time as the detected reaction behavior.

4. The method for measuring brain logic load of automobile driver according to claim 3, wherein the determining the brain logic load measurement result of the driver according to the detected reaction behavior comprises:

comparing the first answer with the corresponding standard answer, and determining a first score according to a comparison result;

performing semantic analysis on the second answer, and determining a second score according to corresponding reaction time when a semantic analysis result is related to the corresponding question and answer;

performing semantic analysis on the second answer corresponding to the later broadcast question in the two same open question-answer questions, and determining a third score according to a semantic analysis result;

determining a base score according to the first score, the second score and the third score;

correcting the basic score;

obtaining a comprehensive score according to the correction result;

and determining a brain logic load measurement result of the driver according to the comprehensive score.

5. The method of measuring brain logic load of automobile driver according to claim 4, wherein the determining the third score according to the semantic analysis result comprises:

when the semantic analysis result comprises information representing the repeat, determining that the third score is a positive value; when the semantic analysis result comprises an answer to the open question-answer question, determining that the third score is a non-positive value; and when the front section of the semantic analysis result comprises the answer to the question of the open question and answer and the rear section of the semantic analysis result comprises the information representing the repeat of the question, determining that the third score is zero.

6. The method of claim 4, wherein the modifying the base score comprises:

acquiring the actual duration of the step of detecting the reaction behavior of the driver to the subtask in the simulated driving process;

playing a question to the driver to indicate the driver's perceived duration of time to answer the step of detecting the driver's reactive behavior to the subtask during the simulated driving;

detecting the perceptual duration of the driver voice response;

and comparing the perception duration with the actual duration, reducing the basic score when the perception duration is longer than the actual duration, and increasing the basic score when the perception duration is shorter than the actual duration.

7. The method of claim 4, wherein the modifying the base score comprises:

detecting a vocal cord closing time proportion of the driver in a voice answering process of the driver to the arithmetic computation question and the open question and answer question;

determining the brain logic load of the driver as a first prediction result according to the basic score before correction;

determining the brain logic load of the driver as a second prediction result according to the vocal cord closing time proportion;

determining a correction amplitude according to the deviation degree of the second prediction result and the first prediction result;

and correcting the basic score according to the correction amplitude.

8. The method of claim 4, wherein the modifying the base score comprises:

acquiring violation records of the driver in the simulated driving process;

determining the reduction amplitude of the basic score according to the number and the type of the violation records;

and correcting the basic score according to the reduced amplitude.

9. The method for measuring brain logic load of automobile drivers according to claim 4, wherein the obtaining of the comprehensive score according to the correction result comprises:

acquiring the corrected basic scores corresponding to the driving scenes;

acquiring a conversion coefficient of driving in each driving scene;

and taking the corresponding conversion coefficient as a weight to obtain a weighted sum of the basic scores as the comprehensive score.

10. A subtask-based logical brain load measurement system for a vehicle driver, comprising:

the driving simulator is used for generating a simulated driving environment for a driver to carry out simulated driving in the simulated driving environment and setting a subtask of the simulated driving environment in each driving scene; the simulated driving environment has a plurality of driving scenes, and the subtask comprises arithmetic calculation and question and answer opening;

the voice interaction system is used for detecting the reaction behavior of the driver to the secondary task in the simulated driving process;

and the counting and displaying system is used for determining the brain logic load measuring result of the driver according to the detected reaction behaviors.

Technical Field

The invention relates to the technical field of brain load measurement, in particular to a method and a system for measuring brain logic load of a driver of an automobile.

Background

At present, the brain load measuring method is mainly divided into a work performance evaluation method, a physiological measuring method and a subjective measuring method, the physiological measuring method expresses the brain load by measuring the physiological characteristics of electroencephalogram signals and the like, the accuracy is high, but the method has higher requirements on instruments and cannot be carried out in real time; the subjective measurement is that the driver self-evaluates the self brain load, and the subjective measurement is simple and easy to use but not objective; the work performance evaluation method is characterized in that the performance of a tested person in completing a certain task is used as a measure index of brain load, the ability of the tested person in completing the task in a certain environment is reflected, the measure method is divided into a main task measurement method and a subtask measurement method, for a car driver, driving of a car is the main task, the performance of the car driver is difficult to be used as a measure standard of the brain load, the subtask measurement method indirectly reflects the brain load of the main task by measuring the performance of people in completing the subtasks, the residual work capacity of the brain is measured, other subtasks possibly need to be processed in the driving process, the brain load of the rest of the main task is used, the problem that the subtasks have individual difference is solved by designing simple and generally applicable subtasks. However, since it is difficult to quantify the performance of the vehicle in driving the vehicle into the brain load, the conventional work performance evaluation method requires a long time for the brain load analysis, and is poor in real-time performance.

Disclosure of Invention

In view of at least one of the above technical problems, the present invention provides a method and a system for measuring brain logic load of a driver of a vehicle.

In one aspect, an embodiment of the present invention includes a method for measuring a brain logic load of a driver of a vehicle, including:

generating a simulated driving environment for a driver to drive in a simulated driving environment; the simulated driving environment has a plurality of driving scenarios;

setting a secondary task of the simulated driving environment under each driving scene; the subtask comprises arithmetic calculation and open question and answer;

detecting a reaction behavior of the driver to the subtask during the simulated driving;

determining a brain logic load measurement of the driver according to the detected reaction behavior.

Further, the setting of the subtask of the simulated driving environment in each driving scenario includes:

generating a plurality of arithmetic calculation problems under each driving scene respectively; the difficulty of each arithmetic calculation problem is not all the same, and each arithmetic calculation problem corresponds to a standard answer and the interval time corresponding to the difficulty of the standard answer;

generating a plurality of open questions and answers under each driving scene respectively; in the multiple open questions and answers, two identical open questions and answers exist;

and playing each arithmetic calculation question and each question and answer question in voice in sequence in the simulated driving environment.

Further, the detecting the reaction behavior of the driver to the subtask during the simulated driving includes:

after each path of the arithmetic computation question is played, acquiring the voice answer of the driver to the arithmetic computation question in the corresponding interval time;

carrying out voice analysis on the voice answer of the driver to the arithmetic computation question to obtain a first answer;

after each question and answer is played, acquiring the voice answer of the driver to the question and answer and the reaction time of the driver for making the voice answer;

carrying out voice analysis on the voice answer of the driver to the open question-answer question to obtain a second answer;

and taking the first answer, the second answer and the reaction time as the detected reaction behavior.

Further, the determining a brain logic load measurement of the driver based on the detected reaction behavior comprises:

comparing the first answer with the corresponding standard answer, and determining a first score according to a comparison result;

performing semantic analysis on the second answer, and determining a second score according to corresponding reaction time when a semantic analysis result is related to the corresponding question and answer;

performing semantic analysis on the second answer corresponding to the later broadcast question in the two same open question-answer questions, and determining a third score according to a semantic analysis result;

determining a base score according to the first score, the second score and the third score;

correcting the basic score;

obtaining a comprehensive score according to the correction result;

and determining a brain logic load measurement result of the driver according to the comprehensive score.

Further, the determining a third score according to the semantic analysis result includes:

when the semantic analysis result comprises information representing the repeat, determining that the third score is a positive value; when the semantic analysis result comprises an answer to the open question-answer question, determining that the third score is a non-positive value; and when the front section of the semantic analysis result comprises the answer to the question of the open question and answer and the rear section of the semantic analysis result comprises the information representing the repeat of the question, determining that the third score is zero.

Further, the modifying the base score includes:

acquiring the actual duration of the step of detecting the reaction behavior of the driver to the subtask in the simulated driving process;

playing a question to the driver to indicate the driver's perceived duration of time to answer the step of detecting the driver's reactive behavior to the subtask during the simulated driving;

detecting the perceptual duration of the driver voice response;

and comparing the perception duration with the actual duration, reducing the basic score when the perception duration is longer than the actual duration, and increasing the basic score when the perception duration is shorter than the actual duration.

Further, the modifying the base score includes:

detecting a vocal cord closing time proportion of the driver in a voice answering process of the driver to the arithmetic computation question and the open question and answer question;

determining the brain logic load of the driver as a first prediction result according to the basic score before correction;

determining the brain logic load of the driver as a second prediction result according to the vocal cord closing time proportion;

determining a correction amplitude according to the deviation degree of the second prediction result and the first prediction result;

and correcting the basic score according to the correction amplitude.

Further, the modifying the base score includes:

acquiring violation records of the driver in the simulated driving process;

determining the reduction amplitude of the basic score according to the number and the type of the violation records;

and correcting the basic score according to the reduced amplitude.

Further, the obtaining of the comprehensive score according to the correction result includes:

acquiring the corrected basic scores corresponding to the driving scenes;

acquiring a conversion coefficient of driving in each driving scene;

and taking the corresponding conversion coefficient as a weight to obtain a weighted sum of the basic scores as the comprehensive score.

In another aspect, an embodiment of the present invention further includes a subtask-based system for measuring a logical brain load of a driver, including:

the driving simulator is used for generating a simulated driving environment for a driver to carry out simulated driving in the simulated driving environment and setting a subtask of the simulated driving environment in each driving scene; the simulated driving environment has a plurality of driving scenes, and the subtask comprises arithmetic calculation and question and answer opening;

the voice interaction system is used for detecting the reaction behavior of the driver to the secondary task in the simulated driving process;

and the counting and displaying system is used for determining the brain logic load measuring result of the driver according to the detected reaction behaviors.

The invention has the beneficial effects that: in the embodiment, the method for measuring the brain logic load of the automobile driver determines the brain logic load measurement result of the driver by issuing subtasks such as arithmetic calculation, question opening and answering to the driver who is executing the main task of the simulated driving in the simulated driving environment and according to the detected reaction behavior of the driver to the subtasks, and can measure the residual working capacity of the brain of the driver by utilizing the principles that the driving performance is related to the individual characteristics and the working property of the driver, the subtasks have individual difference, the performance of the subtasks is indirectly reflected by the brain load of the main task when the driver performs the main task of the driving, and the measured brain logic load of the driver to the subtasks can indirectly reflect the brain logic load of the driver to the main task of the driving, so the brain load of the automobile driver can be objectively evaluated, and the subtasks are relatively easier to be quantized into the brain load, therefore, the brain load analysis of the subtask is fast and real-time, and correspondingly, the brain load analysis of the main task can also obtain better real-time.

Drawings

FIG. 1 is a diagram of a system for measuring the logical brain load of a driver in an embodiment;

FIG. 2 is a flowchart of a method for measuring a logical brain load of an automobile driver in an embodiment;

FIGS. 3 and 4 are schematic diagrams of a method for measuring the logical brain load of a driver in an embodiment;

FIG. 5 is a schematic diagram of the question asking of the arithmetic computation in the embodiment.

Detailed Description

In the embodiment, the logical brain load measuring system of the automobile driver shown in fig. 1 is used to execute the logical brain load measuring method of the automobile driver based on the subtask.

In the system composition shown in fig. 1, the brain logic load measuring system is composed of a driving simulator system, a voice interaction system and a counting and displaying system, wherein the driving simulator is divided into a cockpit, a computer and audio-visual equipment, and a sensor is arranged on a cockpit control part; processing signals by a computer and simulating a driving process; audiovisual devices are used to present a driving environment. The fixed simulation driver has four driving scenes of constant speed, following, merging and curve. The voice interactive system is divided into a voice command system, a voice conversion system and a voice judgment system, and the scoring and displaying system is divided into a scoring system and a displaying system.

In this embodiment, referring to fig. 2, the method for measuring the brain logic load of the car driver based on the subtask, which is executed by the system for measuring the brain logic load of the car driver, includes the following steps:

s1, generating a simulated driving environment, wherein the simulated driving environment has a plurality of driving scenes such as constant speed, following, merging, curve and the like, so that a driver can carry out simulated driving in the simulated driving environment;

s2, setting a secondary task of the simulated driving environment in each driving scene, such as the secondary task in a constant-speed driving scene, the secondary task in a following driving scene, the secondary task in a lane merging driving scene and the secondary task in a curve driving scene;

s3, detecting the reaction behavior of the driver to the auxiliary task in the driving simulation process; for example, the reaction behavior of a driver to a secondary task under a constant-speed driving scene is detected;

and S4, determining a brain logic load measurement result of the driver according to the detected reaction behavior.

In this embodiment, the subtask refers to a task that requires the driver to mentally think, such as an arithmetic computation question and an open question and answer question, that is played back to the driver in the simulated driving environment. In contrast, it is the primary task for the driver to drive in a simulated driving environment.

In the present embodiment, the principle of steps S2-S4 is as shown in FIGS. 3 and 4. In step S2, a subtask is set for each driving scenario, in step S3, the reaction behavior of the driver to the subtask is detected for each driving scenario during the simulated driving, and in step S4, the score of the reaction behavior of the driver is evaluated based on the daily question-answer (or called open question-answer, i.e. the question-answer without standard answer, which may include 1-Repeat task) and the arithmetic calculation, and the basic score corresponding to each driving scenario is obtained through the time perception correction, the driving behavior correction, the voice analysis correction, and other corrections. And finally, summing the basic scores corresponding to each driving scene according to the conversion coefficient to obtain a comprehensive score, and determining the measurement result of the brain logic load of the driver according to the comprehensive score.

In this embodiment, step S2, that is, the step of setting the subtask of the simulated driving environment in each driving scenario, specifically includes the following steps:

s201, generating a plurality of arithmetic calculation problems under each driving scene respectively; the difficulty of each arithmetic calculation problem is not all the same, and each arithmetic calculation problem corresponds to a standard answer and the interval time corresponding to the difficulty;

s202, generating a plurality of open question-answer questions under each driving scene respectively; in the multiple open questions and answers, two identical open questions and answers exist;

s203, playing each arithmetic calculation question and each open question and answer question in sequence by voice in the simulated driving environment.

The principle of steps S201-S203 is shown in fig. 5. In this embodiment, the total number of questions can be set to 10, so that a better scoring effect can be obtained and psychological stress on the driver caused by excessive questions can be avoided. In step 201, referring to table 1, the system randomly asks 10 problems in total for 5 calculation types and 3 difficulty calculation problems, wherein the difficulty 1 is an addition and subtraction method for the number 6, the difficulty 2 is an addition and subtraction method for the number 3, the difficulty 3 is an addition and subtraction method for the number 1, and the question asking sequence for the calculation problems of different difficulty addition and subtraction methods is random. The arithmetic calculation questions with different difficulties correspond to different intervals, for example, the interval of the addition and subtraction arithmetic calculation questions with difficulty 1 is 3 seconds, the interval of the addition and subtraction arithmetic calculation questions with difficulty 2 is 4 seconds, and the interval of the addition and subtraction arithmetic calculation questions with difficulty 3 is 5 seconds.

TABLE 1

Type of computation	Range of calculation results	Example of computing	Difficulty of
				Addition and subtraction of single digit	-9～18	1+0	Difficulty 1
Ten digit addition and subtraction including integer and single digit addition and subtraction	Within 100 and	30+11	difficulty 1
				Addition and subtraction of ten digits without addition and subtraction of integers	Within 100 and	39+22	difficulty 2
Ten digit addition and subtraction including integer addition and subtraction	Over 100	39+80	Difficulty 2
				Addition and subtraction of ten digits without addition and subtraction of integers	Over 100	66+55	Difficulty 3

In step 203, the system performs an open question-and-answer question after asking the complete arithmetic computation question. Wherein the open question-and-answer questions may include the following 1-20:

1. about a few years of your driving age?

2. Where do your first hometown?

3. Who are your favorite director?

4. Which places you want to travel most?

5. Which sport you are most often engaged in?

6. How much you generally spend each month?

7. How do you feel the road traffic condition in my city?

8. Do you prefer a car or an off-road vehicle?

9. You list the names of 3 autonomous mobile phone brands.

10. About a few times do you drive to record violations this year?

11. How long you have experienced the longest traffic congestion approximately?

12. How often you change their phone?

13. How long do you last the longest time of driving?

14. What brand of car you like best?

15. Do you like to listen to radio or music when driving?

16. What is your mobile phone used today?

17. Is your phone number mobile, connected, or telecom?

18. Do you get home for years to sit on a plane or a train or a car?

19. What is the brand of car you use?

20. Which province you come from?

In this embodiment, step S3, that is, the step of detecting the reaction behavior of the driver to the subtask during the simulated driving process, specifically includes the following steps:

s301, after each arithmetic computation question is played, acquiring the voice answer of the driver to the arithmetic computation question in corresponding interval time;

s302, carrying out voice analysis on the voice answer of the driver to the arithmetic computation question to obtain a first answer;

s303, after each open question and answer question is played, acquiring the voice answer of the driver to the open question and answer question and the response time of the driver for making the voice answer;

s304, carrying out voice analysis on the voice answer of the driver to the open question and answer question to obtain a second answer;

s305, taking the first answer, the second answer and the reaction time as the detected reaction behaviors.

In steps S301 and S302, the system plays the arithmetic computation question to the driver through the loudspeaker, after playing one arithmetic computation question, in the corresponding interval time of the arithmetic computation question, the voice answer of the driver to the arithmetic computation question is collected by the microphone, the driver needs to finish the question and then starts to answer, and the answer when the question is asked is regarded as an invalid answer. The system determines that the voice answer of the driver comprises the first answer through voice analysis.

In steps S303 and S304, the system plays the open question and answer questions to the driver through the speaker, after playing one open question and answer question, the voice answer of the driver to the open question and answer question is collected by the microphone in the corresponding interval time of the open question and answer question, the driver needs to answer the question after finishing, the answer when the question is answered is regarded as an invalid answer, and the driver can also choose to reject the answer after asking the next question after the driver finishes answering every time. The system determines that the voice answer of the driver contains the second answer through voice analysis.

In this embodiment, the step S4 of determining the measurement result of the brain logic load of the driver according to the detected reaction behavior specifically includes the following steps:

s401, comparing the first answer with the corresponding standard answer, and determining a first score according to a comparison result;

s402, performing semantic analysis on the second answer, and determining a second score according to corresponding reaction time when a semantic analysis result is related to a corresponding open question-answer question;

s403, performing semantic analysis on a second answer corresponding to a later-played open question-answer question in the two same open question-answer questions, and determining a third score according to a semantic analysis result;

s404, determining a basic score according to the first score, the second score and the third score;

s405, correcting the basic value;

s406, obtaining a comprehensive score according to the correction result;

and S407, determining a brain logic load measurement result of the driver according to the comprehensive score.

In step S401, if the driver answers correctly within the interval time, the first score is 1, if the driver answers correctly, the first score is 0, after the interval time is over, the next question is asked immediately, the system compares the first answer obtained through the voice analysis with the corresponding standard answer, if the first answer is consistent with the standard answer, it is determined that the driver answers correctly, if the first answer is an addition-subtraction arithmetic calculation question with difficulty 1, the first score is 1, if the addition-subtraction arithmetic calculation question with difficulty 2, the first score is 2, if the addition-subtraction arithmetic calculation question with difficulty 3, the first score is 3, if whether the answer is a, the answer score is b, and the first score is x, x is a + b.

In step S402, since the open question-answering question does not have the standard answer, the second score cannot be determined by comparing the second answer with the standard answer. In this embodiment, semantic analysis is performed on the second answer, the content of the second answer is determined, and if the semantic analysis result of the second answer is related to the corresponding question-answering question, for example, for "about a few times of violation records of driving by your car for the year now? "the second answer to this open question-and-answer question is" never violated ", for" do you return home for the year and sit on a plane or a train or a car? The second answer of the driver is 'i do not go home this year' which means that the semantic analysis result of the second answer is related to the corresponding answer, and the content of the answer is reflected that the driver can notice the answer. In the embodiment, the system provides five open question-answer questions altogether, each open question-answer question is not repeated in the measurement of one scene, five average reaction times t are obtained after the five-question answer is finished, wherein the unit of the average reaction time t is s, if no answer exists in the middle, the average reaction time is obtained according to the actual number of answers, and the average reaction time is subtracted by 10 every time no answer exists, so that the second score y can be determined by the following formula: t is less than or equal to 1, and y is 100; t is more than 1 and less than or equal to 2, and y is-40 t + 140; t is more than 2 and less than or equal to 4, and y is-30 t + 120; t is more than 4, and y is 0.

In step S403, a 1-Repeat task is set, that is, two open questions are the same among all the open questions, and the question order of the two open questions is given in order. The system requires the driver to recognize the open question-answer questions asked repeatedly to take a point, for example, the driver is required to provide a second answer having the content of "repeat of this question" to the open question-answer questions asked repeatedly. In this embodiment, the system performs semantic analysis on a second answer corresponding to a later-released one of the two identical open questions, determines whether the semantic analysis result includes "repeat of this question" or similar content, if the semantic analysis result includes "repeat of this question" or similar content, it indicates that the driver has identified the open question and answer question that is repeatedly asked, determines that the third score m is a positive value, for example, 10, and plays a role in adding points when the first score x, the second score y, and the third score m are superimposed to obtain a basic score; if "this question is repeated" or the like is not included but an answer to the question is included, indicating that the driver does not recognize the question asked repeatedly, the third score m is determined to be a negative value, for example-10, and the score is reduced when the first score x, the second score y, and the third score m are added to obtain the basic score; if the front section of the semantic analysis result comprises the answer to the question of the open question and the rear section of the semantic analysis result comprises the information representing the repeat of the question and representing that the driver answers not as specified but responds in the middle, the third score m is determined to be 0, and the score is neither added nor subtracted when the first score x, the second score y and the third score m are superposed to obtain the basic score.

In this embodiment, the first score x, the second score y, and the third score m are subjected to percentage conversion, so that the basic score z is calculated as x/0.5+ y/2+ m/2.

In this embodiment, step S405, that is, the step of correcting the base score may specifically perform time-sensing correction, driving behavior correction, or voice analysis correction.

In this embodiment, the time sensing modification includes the following steps:

S40501A, acquiring actual duration of a step of detecting a reaction behavior of a driver to a subtask in a simulated driving process;

S40502A, a question is played to a driver to indicate the driver to answer the perception duration of the step of detecting the reaction behavior of the driver to the subtask in the process of simulating driving;

S40503A, detecting the perception duration of the voice response of the driver;

S40504A, comparing the perception duration with the actual duration, and when the perception duration is longer than the actual duration, reducing the basic score, and when the perception duration is shorter than the actual duration, increasing the basic score.

The principle of steps S40501A-S40504A is that: the system records the duration of the whole arithmetic calculation and open question-answering process, and asks the driver to obtain the duration of the process of subjective feeling of the driver. If the time of the subjective feeling of the driver is longer than the actual time, the logic load of the brain of the driver is higher, the basic score z is corrected, and the basic score z is reduced by 5 points; and if the time of the subjective feeling of the driver is less than the actual time, indicating that the logic load of the brain of the driver is low, correcting the basic score z, and adding 5 points.

In this embodiment, the voice analysis and correction includes the following steps:

S40501B, detecting the vocal cord closing time proportion of a driver in the voice answering process of the driver to the arithmetic computation question and the open question and answer question;

S40502B, determining the brain logic load of the driver as a first prediction result according to the basic score before correction;

S40503B, determining the brain logic load of the driver as a second prediction result according to the vocal cord closing time proportion;

S40504B, determining a correction amplitude according to the deviation degree of the second prediction result and the first prediction result;

S40505B, correcting the basic score according to the correction amplitude.

The principle of steps S40501B-S40505B is that: in the measuring process, the voice source is directly measured by using an electronic glottimeter in the whole process, and the brain load grade is analyzed. The device generally consists of a pair of electrodes placed on both sides of the neck, at the level of the larynx, close to the vocal cords, which can be observed during speech production, extracting electronic glottal parameters related to the duration and rate of opening and closing of the vocal cords, a lower electronic glottal value indicating a lower vocal cord contact area, the minimum of the electronic glottal signal being sharper and less rounded as the brain load increases, and the time the vocal cords remain closed increasing. Therefore, by collecting the electronic glottal signal, the time for which the vocal cords are kept closed when the driver answers the questions in the interval time is analyzed, and the higher the proportion of the time for keeping closed is, the higher the brain load level is.

In step S40502B, according to the base score z before correction and table 2, it can be determined that the brain logic load of the driver is the corresponding brain load level in table 2, i.e. the first prediction result; in step S40503B, determining the brain logic load of the driver as a corresponding brain load grade according to the vocal cord closing time proportion, namely a second prediction result; and if the brain load grade measured by the electronic glottimeter is the same as or only differs by one grade from the grade corresponding to the basic score z before correction, not correcting the basic score, if the brain load grade measured by the electronic glottimeter is two grades higher than the brain load grade corresponding to the basic score, adding 5 scores to the basic score, otherwise, subtracting 5 scores to the basic score, if the brain load grade measured by the electronic glottimeter is three grades higher than the brain load grade corresponding to the basic score, adding 10 scores to the basic score, otherwise, subtracting 10 scores to the basic score, and if the brain load grade measured by the electronic glottimeter is four grades higher or more than the brain load grade corresponding to the basic score, re-measuring. The basic score can be corrected by correcting the amplitude value by adding 5 points, subtracting 5 points, adding 10 points, subtracting 10 points and the like determined above.

TABLE 2

In this embodiment, the driving behavior modification includes the steps of:

S40501C, acquiring violation records of a driver in the simulated driving process;

S40502C, determining the reduction amplitude of the basic score according to the number and the type of the illegal records;

S40503C, correcting the basic score according to the reduced amplitude.

The principle of steps S40501C-S40503C is that: if the driver breaks the traffic rules or even has an accident in the simulation process, z needs to be corrected, and if the z breaks the traffic rules by 10 minutes, the accident occurs once, and the unqualified judgment is directly carried out, so that the concept of safety is revealed.

In this embodiment, step S406, namely the step of obtaining the comprehensive score according to the correction result, specifically includes the following steps:

s40601, acquiring corrected basic scores corresponding to each driving scene;

s40602, acquiring a conversion coefficient of driving in each driving scene;

s40603, taking the corresponding conversion coefficient as the weight, and acquiring the weighted sum of all basic scores as a comprehensive score.

In step S40601, the corrected base score corresponding to the uniform driving scene is recorded as Z₁Corresponding conversion coefficients are respectively beta₁0.15, the corrected base score corresponding to the following driving scenario is recorded as Z₁Corresponding conversion coefficients are respectively beta₂0.25, the revised base score for the curve driving scenario is recorded as Z₁Corresponding conversion coefficients are respectively beta₃0.25, the revised base score corresponding to the overtaking driving scenario is recorded as Z₁Corresponding conversion coefficients are respectively beta₄0.35. By the formulaAnd calculating to obtain a comprehensive score S.

In step S407, referring to table 2, the brain load is determined according to the final composite score S, thereby completing the measurement of the brain logic load of the car driver, specifically, the brain logic load of the car driver may be measured as level 1, level 2, level 3, level 4, or level 5.

In this embodiment, on the basis of obtaining the brain logic load of the car driver by measurement, the corresponding warm prompt content can be found and obtained according to the level of the brain logic load of the car driver by referring to table 3, and is displayed by the counting and displaying system, so that a more realistic driving simulation effect can be obtained.

TABLE 3

In the embodiment, the method determines the brain logic load measurement result of the driver by issuing the subtasks such as arithmetic calculation and question and answer opening to the driver who is executing the simulated driving main task in the simulated driving environment and according to the detected reaction behavior of the driver to the subtasks, and can measure the residual working capacity of the driver by utilizing the principles that the driving performance is related to the individual characteristics and the working property of the driver, the subtasks have individual difference, the expression of the subtasks completed by the driver in the process of executing the driving main task indirectly reflects the brain load size of the main task, and the like, and the measured brain logic load of the driver to the subtasks can indirectly reflect the brain logic load of the driver to the driving main task, so the brain load of the automobile driver can be objectively evaluated, and the subtasks are relatively easier to be quantified into the brain load, therefore, the brain load analysis of the subtask is fast and real-time, and correspondingly, the brain load analysis of the main task can also obtain better real-time.

It should be noted that, unless otherwise specified, when a feature is referred to as being "fixed" or "connected" to another feature, it may be directly fixed or connected to the other feature or indirectly fixed or connected to the other feature. Furthermore, the descriptions of upper, lower, left, right, etc. used in the present disclosure are only relative to the mutual positional relationship of the constituent parts of the present disclosure in the drawings. As used in this disclosure, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. In addition, unless defined otherwise, all technical and scientific terms used in this example have the same meaning as commonly understood by one of ordinary skill in the art. The terminology used in the description of the embodiments herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this embodiment, the term "and/or" includes any combination of one or more of the associated listed items.

It will be understood that the terms first, second, third, etc. may be used throughout this disclosure to describe various elements, but these elements should not be limited by these terms. These terms are only used to distinguish one element of the same type from another. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of the present disclosure. The use of any and all examples, or exemplary language ("e.g.," such as "or the like") provided with this embodiment is intended merely to better illuminate embodiments of the invention and does not pose a limitation on the scope of the invention unless otherwise claimed.

It should be recognized that embodiments of the present invention can be realized and implemented by computer hardware, a combination of hardware and software, or by computer instructions stored in a non-transitory computer readable memory. The methods may be implemented in a computer program using standard programming techniques, including a non-transitory computer-readable storage medium configured with the computer program, where the storage medium so configured causes a computer to operate in a specific and predefined manner, according to the methods and figures described in the detailed description. Each program may be implemented in a high level procedural or object oriented programming language to communicate with a computer system. However, the program(s) can be implemented in assembly or machine language, if desired. In any case, the language may be a compiled or interpreted language. Furthermore, the program can be run on a programmed application specific integrated circuit for this purpose.

Further, operations of processes described in this embodiment can be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The processes described in this embodiment (or variations and/or combinations thereof) may be performed under the control of one or more computer systems configured with executable instructions, and may be implemented as code (e.g., executable instructions, one or more computer programs, or one or more applications) collectively executed on one or more processors, by hardware, or combinations thereof. The computer program includes a plurality of instructions executable by one or more processors.

Further, the method may be implemented in any type of computing platform operatively connected to a suitable interface, including but not limited to a personal computer, mini computer, mainframe, workstation, networked or distributed computing environment, separate or integrated computer platform, or in communication with a charged particle tool or other imaging device, and the like. Aspects of the invention may be embodied in machine-readable code stored on a non-transitory storage medium or device, whether removable or integrated into a computing platform, such as a hard disk, optically read and/or write storage medium, RAM, ROM, or the like, such that it may be read by a programmable computer, which when read by the storage medium or device, is operative to configure and operate the computer to perform the procedures described herein. Further, the machine-readable code, or portions thereof, may be transmitted over a wired or wireless network. The invention described in this embodiment includes these and other different types of non-transitory computer-readable storage media when such media include instructions or programs that implement the steps described above in conjunction with a microprocessor or other data processor. The invention also includes the computer itself when programmed according to the methods and techniques described herein.

A computer program can be applied to input data to perform the functions described in the present embodiment to convert the input data to generate output data that is stored to a non-volatile memory. The output information may also be applied to one or more output devices, such as a display. In an alternative embodiment of the invention, the transformed data represents physical and tangible objects, including particular visual depictions of physical and tangible objects produced on the display.

The above description is only a preferred embodiment of the present invention, and the present invention is not limited to the above embodiment, and any modifications, equivalent substitutions, improvements, etc. within the spirit and principle of the present invention should be included in the protection scope of the present invention as long as the technical effects of the present invention are achieved by the same means. The invention is capable of other modifications and variations in its technical solution and/or its implementation, within the scope of protection of the invention.