CN116510152A - Periodic training method and device for concentration force, terminal equipment and storage medium - Google Patents
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Abstract
The invention discloses a method, a device, terminal equipment and a storage medium for periodic training of concentration, wherein the method comprises the following steps: acquiring training requirement information, and determining a corresponding training mode based on the training requirement information, wherein the training requirement information is used for reflecting initial concentration evaluation data of a user; according to the training mode, training tasks corresponding to the training mode are obtained, and concentration training intervals corresponding to each training task are sequentially obtained; and acquiring electroencephalogram data, determining concentration data corresponding to the electroencephalogram data, and sequentially taking a concentration training interval corresponding to each training task as a stage training target of the concentration data so as to sequentially execute the corresponding training tasks. The invention performs the periodic training of concentration according to the training tasks with different difficulties, thereby improving the training efficiency of concentration and helping the user to perform the concentration training better.
Description
Technical Field
The present invention relates to the field of concentration training technologies, and in particular, to a method and apparatus for periodic training of concentration, a terminal device, and a storage medium.
Background
For concentration training, there are a number of training modes already available. For example, by raising the user's concentration to trigger a certain action, or by training the user to concentrate on raising the concentration to a target value in a fixed time. However, the existing concentration training method is not high in training efficiency, and a relatively high training effect cannot be achieved.
Accordingly, there is a need for improvement and advancement in the art.
Disclosure of Invention
The invention aims to solve the technical problems that the training efficiency of the concentration training mode in the prior art is not high and the relatively high training effect cannot be achieved.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows:
in a first aspect, the present invention provides a method of phased training of concentration, wherein the method comprises:
acquiring training requirement information, and determining a corresponding training mode based on the training requirement information, wherein the training requirement information is used for reflecting initial concentration evaluation data of a user;
according to the training mode, training tasks corresponding to the training mode are obtained, and concentration training intervals corresponding to each training task are sequentially obtained;
and acquiring electroencephalogram data, determining concentration data corresponding to the electroencephalogram data, and sequentially taking a concentration training interval corresponding to each training task as a stage training target of the concentration data so as to sequentially execute the corresponding training tasks.
In one implementation, the acquiring training requirement information includes:
acquiring user identity information, wherein the user identity information comprises user age information and user history evaluation information, and the history evaluation information is used for reflecting history evaluation data of the user aiming at concentration degree;
the initial concentration assessment data is determined based on the user age information and the user history assessment information, and the training requirement information is determined based on the initial concentration assessment data.
In one implementation, the training requirement information determines a corresponding training pattern, including:
based on the training requirement information, determining an initial evaluation level corresponding to the initial concentration evaluation data, wherein the initial evaluation level is used for reflecting an initial state of concentration degree of the user;
and determining a training mode corresponding to the initial evaluation grade according to the initial evaluation grade.
In one implementation manner, the obtaining, according to the training mode, a training task corresponding to the training mode includes:
determining difficulty information of the training mode based on the training mode;
and determining training tasks corresponding to the difficulty information according to the difficulty information, wherein the higher the difficulty information is, the more the training tasks are.
In one implementation, the acquiring the electroencephalogram data and determining the concentration data corresponding to the electroencephalogram data include:
acquiring the electroencephalogram data based on a preset electroencephalogram detection device, and carrying out graphic drawing on the electroencephalogram data on preset analysis software to obtain an electroencephalogram image;
and determining a fluctuation interval in the electroencephalogram based on the electroencephalogram, and determining the concentration data based on the fluctuation interval.
In one implementation, the training tasks include a first training task, a second training task, and a third training task, and the training difficulty of the first training task is less than the training difficulty of the second training task and less than the training difficulty of the third training task;
the concentration training interval includes: a first concentration training interval corresponding to the first training task, a second concentration training interval corresponding to the second training task, and a third concentration training interval corresponding to the third training task;
each concentration training interval includes a first threshold value and a second threshold value, the first threshold value being less than the second threshold value.
In one implementation manner, the step of sequentially taking the concentration training interval corresponding to each training task as the stage training target of the concentration data to sequentially execute the corresponding training task includes:
sequentially taking the first concentration training interval corresponding to the first training task as a first stage training target, the second concentration training interval corresponding to the second training task as a second stage training target and the third concentration training interval corresponding to the third training task as a third stage training target;
if the concentration data is increased to the first concentration training interval, executing the first training task corresponding to the first concentration training interval;
if the concentration data is increased to the second concentration training interval, executing the second training task corresponding to the second concentration training interval;
and if the concentration data is increased to the third concentration training interval, executing the third training task corresponding to the third concentration training interval.
In a second aspect, an embodiment of the present invention further provides a device for training a power stage, where the device includes:
the training mode determining module is used for acquiring training requirement information and determining a corresponding training mode based on the training requirement information, wherein the training requirement information is used for reflecting initial concentration evaluation data of a user;
the training interval determining module is used for acquiring training tasks corresponding to the training modes according to the training modes and sequentially acquiring concentration training intervals corresponding to each training task;
the training task execution module is used for acquiring electroencephalogram signal data, determining concentration data corresponding to the electroencephalogram signal data, and sequentially taking a concentration training interval corresponding to each training task as a stage training target of the concentration data so as to sequentially execute the corresponding training tasks.
In a third aspect, an embodiment of the present invention further provides a terminal device, where the terminal device includes a memory, a processor, and a concentration periodic training program stored in the memory and capable of running on the processor, and when the processor executes the concentration periodic training program, the processor implements the steps of the concentration periodic training method in any one of the foregoing solutions.
In a fourth aspect, an embodiment of the present invention further provides a computer readable storage medium, where the computer readable storage medium stores a concentration periodic training program, where the concentration periodic training program, when executed by a processor, implements the steps of the concentration periodic training method according to any one of the above schemes.
The beneficial effects are that: compared with the prior art, the invention provides a staged training method of concentration, which comprises the steps of firstly acquiring training requirement information and determining a corresponding training mode based on the training requirement information, wherein the training requirement information is used for reflecting initial concentration evaluation data of a user. And then, according to the training mode, acquiring training tasks corresponding to the training mode, and sequentially acquiring concentration training intervals corresponding to each training task. And finally, acquiring electroencephalogram data, determining concentration data corresponding to the electroencephalogram data, and sequentially taking a concentration training interval corresponding to each training task as a stage training target of the concentration data so as to sequentially execute the corresponding training tasks. The method and the device perform the staged training of the concentration according to the training tasks with different difficulties, so that the training efficiency of the concentration is improved, and the method and the device can help the user to gradually improve the concentration and help the user to perform the concentration training better by adopting the staged training mode.
Drawings
Fig. 1 is a flowchart of a specific implementation of a method for stepwise training of concentration provided in an embodiment of the present invention.
Fig. 2 is a functional schematic diagram of a device for stepwise training of concentration provided in an embodiment of the present invention.
Fig. 3 is a schematic block diagram of a terminal device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and effects of the present invention clearer and more specific, the present invention will be described in further detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The embodiment provides a concentration training method, based on the method of the embodiment, concentration training can be performed according to training tasks with different difficulties, and therefore concentration training efficiency is improved. When the method is specifically applied, training requirement information is firstly obtained, and a corresponding training mode is determined based on the training requirement information, wherein the training requirement information is used for reflecting initial concentration evaluation data of a user. And then, according to the training mode, acquiring training tasks corresponding to the training mode, and sequentially acquiring concentration training intervals corresponding to each training task. And finally, acquiring electroencephalogram data, determining concentration data corresponding to the electroencephalogram data, and sequentially taking a concentration training interval corresponding to each training task as a stage training target of the concentration data so as to sequentially execute the corresponding training tasks. The method of stage training is adopted in the embodiment, so that the user can be helped to gradually improve concentration, and the user is helped to better conduct concentration training.
The method based on electroencephalogram training concentration can be applied to terminal equipment, and the terminal equipment can be a computer, an intelligent television and other intelligent product terminals. In this embodiment, as shown in fig. 1, the method for training concentration based on electroencephalogram signals includes:
step S100, training requirement information is acquired, and a corresponding training mode is determined based on the training requirement information, wherein the training requirement information is used for reflecting initial concentration evaluation data of a user.
According to the embodiment, firstly, the training requirement information is acquired, and because the training requirement information is used for reflecting initial concentration evaluation data of a user, the concentration level of the user before training can be known, and then the most suitable training mode can be matched according to the concentration level, so that the training is carried out by calling the corresponding training mode according to different people.
In one implementation, step S100 of the present embodiment specifically includes the following steps:
step S101, obtaining user identity information, wherein the user identity information comprises user age information and user history evaluation information, and the history evaluation information is used for reflecting history evaluation data of the user aiming at concentration degree;
step S102, determining the initial concentration evaluation data based on the user age information and the user history evaluation information, and determining the training requirement information based on the initial concentration evaluation data;
step S103, determining an initial evaluation level corresponding to the initial concentration evaluation data based on the training requirement information, wherein the initial evaluation level is used for reflecting an initial state of the concentration degree of the user;
step S104, determining a training mode corresponding to the initial evaluation level according to the initial evaluation level.
In this embodiment, before training a user, the present embodiment first obtains user identity information, where the user identity information includes user age information and user history evaluation information, where the history evaluation information is used to reflect history evaluation data about concentration degrees of the user. In practical application, before the user is focused on training, the embodiment may first perform focus assessment on the user, where the focus assessment may be implemented by letting the user wear an electroencephalogram detection device (such as an electroencephalogram head ring) and then controlling a shooting device displayed in a terminal device to hit a target, recording time, and then determining user history assessment information according to the time, where the time exceeds a preset value, indicating that the focus ratio before the user starts focusing on training is poor, and if the time is lower than the preset value, indicating that the focus ratio before the user starts focusing on training is good. After the user history evaluation information is obtained, the embodiment can determine the initial concentration evaluation data by combining the user age information, and then determine the concentration state before the user training. Next, the training requirement information may be determined based on the initial concentration evaluation data, where the training requirement information in this embodiment is based on the age information of the user and the historical evaluation information of the user to obtain how concentration training needs to be performed and what difficulty concentration training needs to be performed by the user.
Specifically, after the training requirement information is obtained, the initial evaluation level corresponding to the initial concentration evaluation data in the training requirement information can be determined according to the training requirement information, and the initial evaluation level is used for reflecting the initial state of the concentration degree of the user, so that the initial concentration level of the user is reflected. Therefore, according to the initial evaluation level, the training mode corresponding to the initial evaluation level can be determined, and the determined training mode is the most suitable for the user. It can be seen that this embodiment matches the most appropriate training pattern based on the user's initial concentration level, thereby helping the user to train better.
Step 200, according to the training mode, acquiring training tasks corresponding to the training mode, and sequentially acquiring concentration training intervals corresponding to each training task.
After the training mode is obtained, the embodiment can obtain the training task corresponding to the training mode. In the terminal device of this embodiment, different training modes correspond to different training tasks, and the training difficulties of the different training tasks are different, so that the concentration training intervals corresponding to each training task are also different, that is, the interval range where the target value of concentration training is located, and only if the concentration data of the user reaches the concentration training interval, the corresponding training task can be executed.
In one implementation, step S200 of the present embodiment specifically includes the following steps:
step S201, determining difficulty information of the training mode based on the training mode;
step S202, determining training tasks corresponding to the difficulty information according to the difficulty information, wherein the higher the difficulty information is, the more the training tasks are.
In this embodiment, different training modes have different difficulty information, that is, because of the different difficulty information, the user can be trained with concentration at different difficulty stages, and the user is helped to concentrate better. In addition, in this embodiment, different difficulty information corresponds to different training tasks. In another implementation, the higher the difficulty information, the greater the number of training tasks. For example, the terminal device may preset a training animation, where the training animation displays a corresponding training target and a training task corresponding to the training target.
If the training mode is to control the training targets to build houses based on concentration, and the difficulty information is high difficulty, three corresponding training tasks can be provided, and the first training task is to control the training targets in the terminal equipment training animation to build house beams based on concentration; the second training task may be controlling a training target cover tile in the terminal device training animation based on the concentration; the third training task can be to control training targets in the terminal equipment training animation to lay bricks based on concentration, so that building of a house is completed.
Step S300, acquiring electroencephalogram data, determining concentration data corresponding to the electroencephalogram data, and sequentially taking a concentration training interval corresponding to each training task as a stage training target of the concentration data so as to sequentially execute the corresponding training tasks.
In this embodiment, when the user performs concentration training, the user first needs to wear an electroencephalogram detection device, such as an electroencephalogram head ring, which can detect electroencephalogram data of the user in real time, and after the electroencephalogram head ring is successfully worn and started, the electroencephalogram data can be acquired. In this embodiment, the electroencephalogram data may reflect the concentration data of the user, that is, whether the user is concentrated or not. Therefore, after acquiring the electroencephalogram data, the embodiment can analyze the electroencephalogram data to determine the corresponding concentration data. Then, the embodiment can sequentially take the concentration training interval corresponding to each training task as the stage training target of the concentration data, thereby controlling the change of the concentration data to sequentially execute the corresponding training tasks and realize the concentration training.
In one implementation, step S300 in this embodiment specifically includes:
step 301, acquiring the electroencephalogram data based on a preset electroencephalogram detection device, and carrying out graphic drawing on the electroencephalogram data on preset analysis software to obtain an electroencephalogram image;
step S302, determining a fluctuation interval in the electroencephalogram based on the electroencephalogram, and determining the concentration data based on the fluctuation interval.
Specifically, the user wears the electroencephalogram detection device, the electroencephalogram detection device can collect electroencephalogram data of the user, and then the electroencephalogram detection device can send the collected electroencephalogram data to the terminal equipment. After receiving the electroencephalogram data, the terminal equipment analyzes the electroencephalogram data based on preset analysis software and performs graphic drawing to form an electroencephalogram image. The electroencephalogram is reflected in a fluctuation state of the intensity of the electroencephalogram with the lapse of time, so that the abscissa in the electroencephalogram is time and the ordinate is the intensity of the electroencephalogram. Based on the brain wave image, whether the spirit of the user is concentrated or whether the brain wave of the user has large fluctuation can be intuitively obtained. In order to analyze the electroencephalogram data of the user more accurately and intuitively, the embodiment can further determine a fluctuation interval in the electroencephalogram according to the electroencephalogram, and in the embodiment, the fluctuation interval is an interval formed between a peak value and a valley value in the electroencephalogram. Then, the concentration data at this time is analyzed based on the peak value and the valley value of the fluctuation section. The concentration data in this embodiment may be a specific value, which may reflect the concentration of the user.
After the concentration data is obtained, the present embodiment may first match the concentration data with the concentration training interval of each training task. The training tasks of the embodiment include a first training task, a second training task and a third training task, and the training difficulty of the first training task is smaller than that of the second training task and smaller than that of the third training task. And the concentration training interval includes: the first concentration training interval corresponding to the first training task, the second concentration training interval corresponding to the second training task and the third concentration training interval corresponding to the third training task. The first concentration training interval is lower than the second concentration training interval and lower than the third concentration training interval. When matching is performed, the embodiment matches the concentration data of the user with the first concentration training interval, the second concentration training interval and the third concentration training interval in sequence, and only if the concentration data reaches the first concentration training interval, the first training task is executed, and then only if the concentration data reaches the second concentration training interval, the second training task is executed, and similarly, only if the concentration data reaches the third concentration training interval, the third training task is executed.
Specifically, in this embodiment, each concentration training interval includes a first threshold value and a second threshold value, where the first threshold value is less than the second threshold value. In this embodiment, the first concentration training interval corresponding to the first training task is used as a first stage training target, the second concentration training interval corresponding to the second training task is used as a second stage training target, and the third concentration training interval corresponding to the third training task is used as a third stage training target. And if the concentration data is increased to the first concentration training interval (namely, the concentration data is positioned between a first threshold value and a second threshold value of the first concentration training interval), executing the first training task corresponding to the first concentration training interval. If the concentration data is increased to the second concentration training interval (i.e., the concentration data is between the first threshold and the second threshold of the second concentration training interval), executing the second training task corresponding to the second concentration training interval; and if the concentration data is increased to the third concentration training interval (namely, the concentration data is positioned between the first threshold value and the second threshold value of the third concentration training interval), executing the third training task corresponding to the third concentration training interval. Therefore, the concentration training is sequentially carried out according to the plurality of training tasks, so that the concentration of the user is improved in a staged manner, the training efficiency is improved, and the user is better helped to concentrate on.
In summary, the present embodiment first obtains training requirement information, and determines a corresponding training mode based on the training requirement information, where the training requirement information is used to reflect initial concentration evaluation data of a user. And then, according to the training mode, acquiring training tasks corresponding to the training mode, and sequentially acquiring concentration training intervals corresponding to each training task. And finally, acquiring electroencephalogram data, determining concentration data corresponding to the electroencephalogram data, and sequentially taking a concentration training interval corresponding to each training task as a stage training target of the concentration data so as to sequentially execute the corresponding training tasks. The method of stage training is adopted in the embodiment, so that the user can be helped to gradually improve concentration, and the user is helped to better conduct concentration training.
Based on the above embodiment, the present invention further provides a device for stepwise training of concentration, as shown in fig. 2, the device comprising: training pattern determination module 10, training interval determination module 20, and training task execution module 30. Specifically, the training mode determining module 10 is configured to obtain training requirement information, and determine a corresponding training mode based on the training requirement information, where the training requirement information is used to reflect initial concentration evaluation data of the user. The training interval determining module 20 is configured to obtain, according to the training mode, a training task corresponding to the training mode, and sequentially obtain a concentration training interval corresponding to each training task. The training task execution module 30 is configured to obtain electroencephalogram data, determine concentration data corresponding to the electroencephalogram data, and sequentially take a concentration training interval corresponding to each training task as a stage training target of the concentration data, so as to sequentially execute the corresponding training tasks.
In one implementation, the training mode determination module 10 includes:
the information acquisition unit is used for acquiring user identity information, wherein the user identity information comprises user age information and user history evaluation information, and the history evaluation information is used for reflecting history evaluation data of the user aiming at concentration degree;
a demand determining unit configured to determine the initial concentration evaluation data based on the user age information and the user history evaluation information, and determine the training demand information based on the initial concentration evaluation data;
the information analysis unit is used for determining an initial evaluation grade corresponding to the initial concentration evaluation data based on the training requirement information, wherein the initial evaluation grade is used for reflecting an initial state of the concentration degree of the user;
and the mode determining unit is used for determining a training mode corresponding to the initial evaluation level according to the initial evaluation level.
In one implementation, the training interval determining module 20 includes:
the difficulty information determining unit is used for determining difficulty information of the training mode based on the training mode;
and the training task determining unit is used for determining training tasks corresponding to the difficulty information according to the difficulty information, wherein the higher the difficulty information is, the more the training tasks are.
In one implementation, the training task execution module 30 includes:
the electroencephalogram analysis unit is used for acquiring the electroencephalogram data based on a preset electroencephalogram detection device, and carrying out graphic drawing on the electroencephalogram data on preset analysis software to obtain an electroencephalogram image;
and the concentration force determining unit is used for determining a fluctuation interval in the electroencephalogram based on the electroencephalogram and determining the concentration force data based on the fluctuation interval.
In one implementation, the training tasks include a first training task, a second training task, and a third training task, and the training difficulty of the first training task is less than the training difficulty of the second training task and less than the training difficulty of the third training task; the concentration training interval includes: a first concentration training interval corresponding to the first training task, a second concentration training interval corresponding to the second training task, and a third concentration training interval corresponding to the third training task; each concentration training interval includes a first threshold value and a second threshold value, the first threshold value being less than the second threshold value.
In one implementation, the training task execution module 30 includes:
the training target setting unit is used for sequentially taking the first concentration training interval corresponding to the first training task as a first stage training target, the second concentration training interval corresponding to the second training task as a second stage training target and the third concentration training interval corresponding to the third training task as a third stage training target;
the first training unit is used for executing the first training task corresponding to the first concentration training interval if the concentration data is increased to the first concentration training interval;
the second training unit is used for executing the second training task corresponding to the second concentration training interval if the concentration data is increased to the second concentration training interval;
and the third training unit is used for executing the third training task corresponding to the third concentration training interval if the concentration data is increased to the third concentration training interval.
The working principle of each module in the power-concentrating staged training device of this embodiment is the same as that of each step in the above method embodiment, and will not be described here again.
Based on the above embodiment, the present invention also provides a terminal device, and a schematic block diagram of the terminal device may be shown in fig. 3. The terminal device may comprise one or more processors 100 (only one shown in fig. 3), a memory 101 and a computer program 102 stored in the memory 101 and executable on the one or more processors 100, e.g. a program for a stepwise training of the concentration. The one or more processors 100, when executing the computer program 102, may implement various steps in method embodiments of the focused staged training. Alternatively, the one or more processors 100, when executing the computer program 102, may implement the functions of the modules/units in the apparatus embodiment of the concentration training stage, without limitation.
In one embodiment, the processor 100 may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
In one embodiment, the memory 101 may be an internal storage unit of the electronic device, such as a hard disk or a memory of the electronic device. The memory 101 may also be an external storage device of the electronic device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a flash card (flash card) or the like, which are provided on the electronic device. Further, the memory 101 may also include both an internal storage unit and an external storage device of the electronic device. The memory 101 is used to store computer programs and other programs and data required by the terminal device. The memory 101 may also be used to temporarily store data that has been output or is to be output.
It will be appreciated by persons skilled in the art that the functional block diagram shown in fig. 3 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the terminal device to which the present inventive arrangements are applied, and that a particular terminal device may include more or fewer components than shown, or may combine some of the components, or may have a different arrangement of components.
Those skilled in the art will appreciate that implementing all or part of the above-described methods may be accomplished by way of a computer program, which may be stored on a non-transitory computer readable storage medium, that when executed may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, operational database, or other medium used in embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual operation data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
In summary, the invention discloses a method, a device, a terminal device and a storage medium for periodic training of concentration, wherein the method comprises the following steps: acquiring training requirement information, and determining a corresponding training mode based on the training requirement information, wherein the training requirement information is used for reflecting initial concentration evaluation data of a user; according to the training mode, training tasks corresponding to the training mode are obtained, and concentration training intervals corresponding to each training task are sequentially obtained; and acquiring electroencephalogram data, determining concentration data corresponding to the electroencephalogram data, and sequentially taking a concentration training interval corresponding to each training task as a stage training target of the concentration data so as to sequentially execute the corresponding training tasks. The invention performs the periodic training of concentration according to the training tasks with different difficulties, thereby improving the training efficiency of concentration and helping the user to perform the concentration training better.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A method of phased training of concentration, the method comprising:
acquiring training requirement information, and determining a corresponding training mode based on the training requirement information, wherein the training requirement information is used for reflecting initial concentration evaluation data of a user;
according to the training mode, training tasks corresponding to the training mode are obtained, and concentration training intervals corresponding to each training task are sequentially obtained;
and acquiring electroencephalogram data, determining concentration data corresponding to the electroencephalogram data, and sequentially taking a concentration training interval corresponding to each training task as a stage training target of the concentration data so as to sequentially execute the corresponding training tasks.
2. The method for stepwise training of concentration according to claim 1, wherein the acquiring training requirement information includes:
acquiring user identity information, wherein the user identity information comprises user age information and user history evaluation information, and the history evaluation information is used for reflecting history evaluation data of the user aiming at concentration degree;
the initial concentration assessment data is determined based on the user age information and the user history assessment information, and the training requirement information is determined based on the initial concentration assessment data.
3. The method of periodic training of concentration according to claim 2, wherein the training requirement information determines a corresponding training pattern, comprising:
based on the training requirement information, determining an initial evaluation level corresponding to the initial concentration evaluation data, wherein the initial evaluation level is used for reflecting an initial state of concentration degree of the user;
and determining a training mode corresponding to the initial evaluation grade according to the initial evaluation grade.
4. The method for stepwise training of concentration according to claim 1, wherein the step of acquiring the training task corresponding to the training pattern according to the training pattern comprises:
determining difficulty information of the training mode based on the training mode;
and determining training tasks corresponding to the difficulty information according to the difficulty information, wherein the higher the difficulty information is, the more the training tasks are.
5. The method for stepwise training of concentration according to claim 1, wherein the acquiring the electroencephalogram data and determining the concentration data corresponding to the electroencephalogram data include:
acquiring the electroencephalogram data based on a preset electroencephalogram detection device, and carrying out graphic drawing on the electroencephalogram data on preset analysis software to obtain an electroencephalogram image;
and determining a fluctuation interval in the electroencephalogram based on the electroencephalogram, and determining the concentration data based on the fluctuation interval.
6. The method of claim 5, wherein the training tasks include a first training task, a second training task, and a third training task, and wherein the first training task has a training difficulty that is less than the second training task and less than the third training difficulty;
the concentration training interval includes: a first concentration training interval corresponding to the first training task, a second concentration training interval corresponding to the second training task, and a third concentration training interval corresponding to the third training task;
each concentration training interval includes a first threshold value and a second threshold value, the first threshold value being less than the second threshold value.
7. The method of claim 6, wherein the step of sequentially taking the concentration training interval corresponding to each training task as the concentration training target of the concentration data to sequentially perform the corresponding training tasks includes:
sequentially taking the first concentration training interval corresponding to the first training task as a first stage training target, the second concentration training interval corresponding to the second training task as a second stage training target and the third concentration training interval corresponding to the third training task as a third stage training target;
if the concentration data is increased to the first concentration training interval, executing the first training task corresponding to the first concentration training interval;
if the concentration data is increased to the second concentration training interval, executing the second training task corresponding to the second concentration training interval;
and if the concentration data is increased to the third concentration training interval, executing the third training task corresponding to the third concentration training interval.
8. A device for phased training of concentration, the device comprising:
the training mode determining module is used for acquiring training requirement information and determining a corresponding training mode based on the training requirement information, wherein the training requirement information is used for reflecting initial concentration evaluation data of a user;
the training interval determining module is used for acquiring training tasks corresponding to the training modes according to the training modes and sequentially acquiring concentration training intervals corresponding to each training task;
the training task execution module is used for acquiring electroencephalogram signal data, determining concentration data corresponding to the electroencephalogram signal data, and sequentially taking a concentration training interval corresponding to each training task as a stage training target of the concentration data so as to sequentially execute the corresponding training tasks.
9. Terminal device, characterized in that it comprises a memory, a processor and a concentration phase training program stored in the memory and executable on the processor, which processor, when executing the concentration phase training program, realizes the steps of the concentration phase training method according to any of claims 1-7.
10. A computer readable storage medium, wherein a concentration phase training program is stored on the computer readable storage medium, which concentration phase training program, when executed by a processor, implements the steps of the concentration phase training method according to any of claims 1-7.
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