CN114692703A - Concentration level determination method based on electroencephalogram data and myoelectricity data - Google Patents
Concentration level determination method based on electroencephalogram data and myoelectricity data Download PDFInfo
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Abstract
The invention discloses a concentration level determination method based on electroencephalogram data and electromyogram data. Because the electroencephalogram data and the electromyogram data are generated based on brain activities of the user and are closely related to the current concentration degree of the user, the current concentration grade of the user can be judged by detecting the time length of the second target hit by the first target. The method solves the problem that in the prior art, the concentration level of an individual is difficult to objectively evaluate based on a subjective question-answering evaluation method.
Description
Technical Field
The invention relates to the field of signal processing, in particular to a concentration level determination method based on electroencephalogram data and electromyogram data.
Background
Concentration, usually referred to as attention, in the psychological context refers to the ability to maintain concentration on an activity for an extended period of time. Attention is an important quality essential for the life-long development of individuals. The psychological research shows that the state of concentration is very favorable for the individual to clearly and completely judge objective objects so as to ensure that the intellectual activities are smoothly generated and developed.
Generally, the assessment of the concentration test can be obtained by observation and feedback of professionals, and can also be obtained by questionnaire survey of the concentration test. However, the attention test methods only provide evaluation reports by subjective question and answer, and the evaluation reports have certain one-sidedness and personal emotional colors, and cannot objectively evaluate the level of attention of individuals.
Thus, there is still a need for improvement and development of the prior art.
Disclosure of Invention
The invention aims to solve the technical problem that in the prior art, the attention level determining method based on electroencephalogram data and electromyogram data is provided, and the problem that the attention level of an individual is difficult to objectively evaluate by an evaluation method based on subjective question answering is solved.
The technical scheme adopted by the invention for solving the problems is as follows:
in a first aspect, an embodiment of the present invention provides a method for determining a concentration level based on electroencephalogram data and electromyogram data, where the method includes:
acquiring a target electroencephalogram signal and a target electromyogram signal of a target user, wherein the target electroencephalogram signal is generated based on a meditation process of the target user, the target electromyogram signal is generated based on a movement intention of the target user, and the movement intention is used for aligning a first target and a second target in a target picture;
determining a target frequency according to the target electroencephalogram signal, and determining a target path according to the target electromyogram signal;
generating a target instruction according to the target path and the target frequency, and sending the target instruction to a target terminal playing the target picture so as to enable the target terminal to generate a target program based on the target instruction, wherein the target program is used for enabling the first target to move based on the target path and shooting based on the target frequency;
and acquiring detection duration, and determining a target concentration level corresponding to the target user according to the detection duration, wherein the detection duration is used for reflecting the time length of the second target being knocked down.
In one embodiment, the determining a target frequency from the target brain electrical signal comprises:
determining a target meditation score corresponding to the target user according to the target electroencephalogram signal, wherein the target meditation score is used for reflecting the concentration degree of the target user in the meditation process;
acquiring a plurality of preset score intervals, and determining a target score interval corresponding to the target meditation score according to the score intervals, wherein the score intervals correspond to different frequencies respectively;
and determining the target frequency according to the frequency corresponding to the target score interval.
In one embodiment, the determining the target meditation score corresponding to the target user according to the target brain electrical signal comprises:
determining the characteristics of the target electroencephalogram signal according to the target electroencephalogram signal;
acquiring standard electroencephalogram signal characteristics, wherein the standard electroencephalogram signal characteristics are used for reflecting the signal characteristics of the corresponding electroencephalogram signals when the meditation score is full score;
determining a similarity numerical value according to the target electroencephalogram signal characteristic and the standard electroencephalogram signal characteristic;
and determining the target meditation score according to the similarity value.
In one embodiment, the determining a target frequency from the target brain electrical signal comprises:
determining a target meditation score corresponding to the target user according to the target electroencephalogram signal, wherein the target meditation score is used for reflecting the concentration degree of the target user in the meditation process;
acquiring a preset curve, wherein the curve is used for reflecting the corresponding relation between the frequency and the meditation score;
and determining the frequency corresponding to the target meditation score according to the curve to obtain the target frequency.
In one embodiment, the determining a target path according to the target electromyography signal includes:
acquiring a plurality of standard electromyographic signals, wherein the plurality of standard electromyographic signals correspond to different paths respectively, and each path comprises a moving direction and a moving length;
determining a target standard electromyographic signal corresponding to the target electromyographic signal according to the plurality of standard electromyographic signals, wherein the similarity between the target standard electromyographic signal and the target electromyographic signal is highest;
and determining the target path according to the path corresponding to the target standard electromyographic signal.
In an embodiment, the determining the target concentration level corresponding to the target user according to the detection duration includes:
acquiring a plurality of preset duration intervals, wherein the concentration levels corresponding to the duration intervals are different;
determining a target duration interval corresponding to the detection duration according to the duration intervals;
and determining the target concentration level according to the concentration level corresponding to the target duration interval.
In one embodiment, the method further comprises:
when the target frequency is determined based on the fractional intervals, adjusting the frequencies corresponding to the fractional intervals according to the detection duration;
when the target frequency is determined based on the curve, adjusting the frequency corresponding to each meditation score on the curve according to the detection duration.
In a second aspect, an embodiment of the present invention further provides a device for determining a concentration level based on electroencephalogram data and electromyogram data, where the device includes:
the system comprises a signal acquisition module, a first target recognition module and a second target recognition module, wherein the signal acquisition module is used for acquiring a target electroencephalogram signal and a target electromyogram signal of a target user, the target electroencephalogram signal is generated based on a meditation process of the target user, the target electromyogram signal is generated based on a movement intention of the target user, and the movement intention is used for aligning a first target and a second target in a target picture;
the parameter determination module is used for determining a target frequency according to the target electroencephalogram signal and determining a target path according to the target electromyogram signal;
the transmitting module is used for generating a target instruction according to the target path and the target frequency, and sending the target instruction to a target terminal playing the target picture so as to enable the target terminal to generate a target program based on the target instruction, wherein the target program is used for enabling the first target to move based on the target path and shooting based on the target frequency;
and the detection module is used for acquiring detection duration and determining the target concentration level corresponding to the target user according to the detection duration, wherein the detection duration is used for reflecting the time length of the second target being knocked down.
In one embodiment, the parameter determination module comprises:
a first scoring unit, configured to determine a target meditation score corresponding to the target user according to the target electroencephalogram signal, wherein the target meditation score is used for reflecting the concentration degree of the target user in the meditation process;
the interval determining unit is used for acquiring a plurality of preset fraction intervals and determining a target fraction interval corresponding to the target meditation score according to the fraction intervals, wherein the fraction intervals correspond to different frequencies respectively;
and the first frequency determining unit is used for determining the target frequency according to the frequency corresponding to the target score interval.
In one embodiment, the first scoring unit comprises:
the characteristic determining unit is used for determining the characteristics of the target electroencephalogram signal according to the target electroencephalogram signal;
the standard acquisition unit is used for acquiring standard electroencephalogram signal characteristics, wherein the standard electroencephalogram signal characteristics are used for reflecting the signal characteristics of the corresponding electroencephalogram signals when the meditation score is full score;
the characteristic comparison unit is used for determining a similarity numerical value according to the target electroencephalogram signal characteristic and the standard electroencephalogram signal characteristic;
a score determining unit for determining the target meditation score according to the similarity value.
In one embodiment, the parameter determination module comprises:
a second scoring unit, configured to determine a target meditation score corresponding to the target user according to the target electroencephalogram signal, wherein the target meditation score is used for reflecting the concentration degree of the target user in the meditation process;
a curve acquisition unit for acquiring a preset curve for reflecting a correspondence between the frequency and the meditation score;
and the second frequency determining unit is used for determining the frequency corresponding to the target meditation score according to the curve to obtain the target frequency.
In one embodiment, the parameter determination module comprises:
the candidate determining unit is used for acquiring a plurality of standard electromyographic signals, wherein the standard electromyographic signals correspond to different paths respectively, and each path comprises a moving direction and a moving length;
the signal matching unit is used for determining a target standard electromyographic signal corresponding to the target electromyographic signal according to a plurality of standard electromyographic signals, wherein the similarity between the target standard electromyographic signal and the target electromyographic signal is highest;
and the path determining unit is used for determining the target path according to the path corresponding to the target standard electromyographic signal.
In one embodiment, the detection module comprises:
the interval acquisition unit is used for acquiring a plurality of preset duration intervals, wherein the plurality of duration intervals respectively correspond to different concentration levels;
the time length classifying unit is used for determining a target time length interval corresponding to the detection time length according to a plurality of time length intervals;
and the grade determining unit is used for determining the target concentration grade according to the concentration grade corresponding to the target duration interval.
In one embodiment, the apparatus further comprises:
the difficulty adjusting unit is used for adjusting the frequencies corresponding to the score intervals according to the detection duration when the target frequency is determined based on the score intervals;
when the target frequency is determined based on the curve, adjusting the frequency corresponding to each meditation score on the curve according to the detection duration.
In a third aspect, an embodiment of the present invention further provides a terminal, where the terminal includes a memory and one or more processors; the memory stores one or more programs; the program contains instructions for carrying out a concentration level determination method based on electroencephalogram data and electromyogram data as described in any of the above; the processor is configured to execute the program.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a plurality of instructions are stored, where the instructions are adapted to be loaded and executed by a processor to implement any of the above steps of the method for determining concentration level based on electroencephalogram data and electromyogram data.
The invention has the beneficial effects that: the embodiment of the invention can objectively and accurately judge the current concentration level of the user through the electroencephalogram data and the electromyogram data of the user. The method solves the problem that in the prior art, the concentration level of an individual is difficult to objectively evaluate based on a subjective question-answering evaluation method.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a concentration level determination method based on electroencephalogram data and electromyogram data according to an embodiment of the present invention.
Fig. 2 is a schematic block diagram of a concentration level determination apparatus based on electroencephalogram data and electromyogram data according to an embodiment of the present invention.
Fig. 3 is a schematic block diagram of a terminal according to an embodiment of the present invention.
Detailed Description
The invention discloses a concentration level determination method based on electroencephalogram data and electromyogram data, and in order to make the purpose, technical scheme and effect of the invention clearer and clearer, the invention is further described in detail below by referring to the attached drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Further, "connected" or "coupled" as used herein may include wirelessly connected or wirelessly coupled. As used herein, the term "and/or" includes all or any element and all combinations of one or more of the associated listed items.
It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
Concentration, usually attention, refers to the ability to maintain concentration on an activity for an extended period of time in the psychological context. Attention is an important quality essential for the life-long development of individuals. The psychological research shows that the state of concentration is very favorable for the individual to clearly and completely judge objective objects so as to ensure that the intellectual activities are smoothly generated and developed.
Generally, the assessment of the concentration test can be obtained by observation and feedback of professionals, and can also be obtained by questionnaire survey of the concentration test. However, the attention test methods only provide evaluation reports by subjective question and answer, and the evaluation reports have certain one-sidedness and personal emotional colors, and cannot objectively evaluate the level of attention of individuals.
In view of the above-mentioned drawbacks of the prior art, the present invention provides a method for determining concentration level based on electroencephalogram data and electromyogram data, the method comprising: acquiring a target electroencephalogram signal and a target electromyogram signal of a target user, wherein the target electroencephalogram signal is generated based on a meditation process of the target user, the target electromyogram signal is generated based on a movement intention of the target user, and the movement intention is used for aligning a first target and a second target in a target picture; determining a target frequency according to the target electroencephalogram signal, and determining a target path according to the target electromyogram signal; generating a target instruction according to the target path and the target frequency, and sending the target instruction to a target terminal playing the target picture so as to enable the target terminal to generate a target program based on the target instruction, wherein the target program is used for enabling the first target to move based on the target path and shooting based on the target frequency; and acquiring detection duration, and determining a target concentration level corresponding to the target user according to the detection duration, wherein the detection duration is used for reflecting the time length of the second target being knocked down. The method can objectively and accurately judge the current concentration level of the user through the electroencephalogram data and the electromyogram data of the user. The method solves the problem that in the prior art, the concentration level of an individual is difficult to objectively evaluate based on a subjective question-answering evaluation method.
As shown in fig. 1, the method comprises the steps of:
step S100, a target electroencephalogram signal and a target electromyogram signal of a target user are acquired, wherein the target electroencephalogram signal is generated based on a meditation process of the target user, the target electromyogram signal is generated based on a movement intention of the target user, and the movement intention is to align a first target and a second target in a target picture.
Specifically, the target user in this embodiment may be any user that needs to perform concentration detection. The electroencephalogram signal can reflect the current brain activity state of the user, the electromyogram signal can reflect the current brain movement intention of the user, and the brain state is closely related to the concentration degree of the user, so the electroencephalogram signal and the electromyogram signal of the user are required in the embodiment. In the practical application process, the target user needs to perform meditation for a period of time, and then the electroencephalogram signals generated by the target user in the meditation process are acquired. And then playing a section of image for the target user, wherein the image comprises a first target and a second target with random positions, the target user needs to generate a movement intention aiming at the first target and the second target in the brain based on the current position conditions of the first target and the second target in the image, and the movement intention can be converted into an electromyographic signal to be detected, so that the target electromyographic signal is obtained.
As shown in fig. 1, the method further comprises the steps of:
and S200, determining a target frequency according to the target electroencephalogram signal, and determining a target path according to the target electromyogram signal.
Specifically, in order to make the information reflected by the target electroencephalogram signal and the target electromyogram signal more intuitive, the present embodiment converts the target electroencephalogram signal into a frequency index, that is, obtains the target frequency; and converting the target electromyographic signals into path indexes to obtain the target path.
In one implementation, the determining a target frequency according to the target electroencephalogram signal specifically includes the following steps:
step S201, determining a target meditation score corresponding to the target user according to the target electroencephalogram signal, wherein the target meditation score is used for reflecting the concentration degree of the target user in the meditation process;
step S202, acquiring a plurality of preset fraction intervals, and determining a target fraction interval corresponding to the target meditation score according to the fraction intervals, wherein the fraction intervals correspond to different frequencies respectively;
step S203, determining the target frequency according to the frequency corresponding to the target score interval.
Specifically, since the target electroencephalogram signal may reflect the concentration degree of the target user in the meditation process, the present embodiment scores the meditation process of the target user based on the target electroencephalogram signal, and a higher score indicates that the target user is more concentrated in the meditation process, thereby obtaining the target meditation score. After the target meditation score is obtained, the target meditation score is matched with each preset score section to obtain a score section corresponding to the target meditation score, that is, a target score section. Wherein, each fraction interval is not overlapped, and each fraction interval corresponds to a frequency. And then, taking the frequency corresponding to the target score interval as the target frequency.
In one implementation, the step S201 specifically includes the following steps:
step S2011, determining characteristics of the target electroencephalogram signal according to the target electroencephalogram signal;
step S2012, acquiring standard electroencephalogram signal characteristics, wherein the standard electroencephalogram signal characteristics are used for reflecting the signal characteristics of the corresponding electroencephalogram signals when the meditation score is full score;
s2013, determining a similarity numerical value according to the target electroencephalogram signal characteristic and the standard electroencephalogram signal characteristic;
and step S2014, determining the target meditation score according to the similarity numerical value.
Specifically, feature extraction is performed on the target electroencephalogram signal to obtain the features of the target electroencephalogram signal. And comparing the difference with standard electroencephalogram signal characteristics, wherein the standard electroencephalogram signal characteristics are used for reflecting the electroencephalogram signal characteristics corresponding to the full score of the meditation score. If the similarity degree value of the two comparison values is higher, the fact that the target electroencephalogram signal is closer to the electroencephalogram signal corresponding to the full-score meditation score is shown, and the value of the target meditation score corresponding to the target electroencephalogram signal is higher.
In another implementation, the determining a target frequency according to the target electroencephalogram signal specifically includes:
step S204, determining a target meditation score corresponding to the target user according to the target electroencephalogram signal, wherein the target meditation score is used for reflecting the concentration degree of the target user in the meditation process;
step S205, acquiring a preset curve, wherein the curve is used for reflecting the corresponding relation between the frequency and the meditation score;
step S206, determining the frequency corresponding to the target meditation score according to the curve to obtain the target frequency.
Specifically, the present embodiment further provides a second method for determining a target frequency based on a target electroencephalogram signal. First, a target meditation score corresponding to the target user is determined based on the target electroencephalogram signal. Then, a preset curve is obtained, wherein the abscissa of the curve is used for reflecting the meditation score and the ordinate is used for reflecting the frequency. The frequency corresponding to the target meditation score in the curve is set as the target frequency.
In an implementation manner, the determining a target path according to the target electromyographic signal specifically includes:
step S207, obtaining a plurality of standard electromyographic signals, wherein the plurality of standard electromyographic signals correspond to different paths respectively, and each path comprises a moving direction and a moving length;
step S208, determining a target standard electromyographic signal corresponding to the target electromyographic signal according to a plurality of standard electromyographic signals, wherein the similarity between the target standard electromyographic signal and the target electromyographic signal is highest;
and S209, determining the target path according to the path corresponding to the target standard electromyographic signal.
Specifically, the present embodiment collects a plurality of electromyographic signals of a target user in advance, where each electromyographic signal is converted by a brain according to movement intentions generated by different paths when the target user is highly attentive, and thus a plurality of standard electromyographic signals are obtained. For example, if the target user is a disabled person who needs to wear a bionic hand, the electromyographic signals generated when the target user controls the bionic hand to move along different paths can be acquired when the target user registers to use the bionic hand, so that a plurality of standard electromyographic signals can be obtained. And then, performing signal matching on each standard electromyographic signal and the target electromyographic signal, and taking the standard electromyographic signal with the highest similarity as the target standard electromyographic signal corresponding to the target electromyographic signal. And taking the path which has a corresponding relation with the target standard electromyographic signal as a target path corresponding to the target electromyographic signal.
As shown in fig. 1, the method further comprises the steps of:
step S300, generating a target instruction according to the target path and the target frequency, and sending the target instruction to a target terminal playing the target picture so as to enable the target terminal to generate a target program based on the target instruction, wherein the target program is used for enabling the first target to move based on the target path and shooting based on the target frequency.
Specifically, after the target path and the target frequency are obtained, a control command needs to be generated based on the target path and the target frequency, and the target command is obtained. And then sending the target instruction to a target terminal playing the target picture. After the target terminal acquires the target instruction, a corresponding program is generated according to the target instruction so as to control the first terminal in the target picture to move along the target path and shoot at the target frequency.
As shown in fig. 1, the method further comprises:
step S400, obtaining detection duration, and determining a target concentration level corresponding to the target user according to the detection duration, wherein the detection duration is used for reflecting the time length of the second target being knocked down.
In order to evaluate the concentration level of the target user, the embodiment needs to obtain the length of time that the second target is knocked down, that is, the detection length of time. It will be appreciated that the higher the concentration level of the target user, the more aligned the first target is with the second target, and the more frequently the first target fires at the second target, the faster the second target is knocked down.
In one implementation, the step S400 specifically includes the following steps:
step S401, obtaining a plurality of preset duration intervals, wherein the plurality of duration intervals respectively correspond to different concentration levels;
step S402, determining a target duration interval corresponding to the detection duration according to a plurality of duration intervals;
and S403, determining the target concentration level according to the concentration level corresponding to the target duration interval.
Specifically, a plurality of time duration intervals are preset in the embodiment, wherein the time duration intervals are not overlapped with each other, and each time duration interval corresponds to a concentration level. And judging which duration interval the current detection duration is located in, taking the duration interval as a target duration interval, and determining a target concentration level currently corresponding to the target user according to the concentration level corresponding to the target duration interval.
In one implementation, the method further comprises the steps of:
s500, when the target frequency is determined based on the fractional intervals, adjusting the frequencies corresponding to the fractional intervals according to the detection duration;
step S600, when the target frequency is determined based on the curve, adjusting the frequency corresponding to each meditation score on the curve according to the detection duration.
Briefly, the present invention may also be used to train the concentration of a target user. Specifically, the length of the detection duration in this embodiment may reflect the current concentration degree of the target user, and if the detection duration is greater than the preset threshold, which indicates that the current evaluation mode is too difficult for the target user and the difficulty needs to be reduced, the frequency corresponding to each meditation score on the frequency/curve respectively corresponding to the plurality of score intervals is adjusted up; if the detection duration is less than or equal to the preset threshold value, the current evaluation mode is too easy for the target user, and the difficulty needs to be improved, the frequency corresponding to each meditation score on the frequency/curve corresponding to the score intervals is adjusted downwards. Thereby dynamically controlling the difficulty of the assessment to train the concentration of the target user.
In another implementation manner, the method can also determine a shooting score according to the detection duration, and adjust the frequency corresponding to a plurality of score intervals or the frequency corresponding to each meditation score on the curve according to the shooting score and the target meditation score.
Based on the above embodiment, the present invention further provides a device for determining concentration level based on electroencephalogram data and electromyogram data, as shown in fig. 2, the device includes:
the signal acquisition module 01 is used for acquiring a target electroencephalogram signal and a target electromyogram signal of a target user, wherein the target electroencephalogram signal is generated based on a meditation process of the target user, the target electromyogram signal is generated based on a movement intention of the target user, and the movement intention is to align a first target and a second target in a target picture;
the parameter determining module 02 is used for determining a target frequency according to the target electroencephalogram signal and determining a target path according to the target electromyogram signal;
the transmitting module 03 is configured to generate a target instruction according to the target path and the target frequency, and send the target instruction to a target terminal that plays the target picture, so that the target terminal generates a target program based on the target instruction, where the target program is configured to move the first target based on the target path and shoot based on the target frequency;
the detection module 04 is configured to obtain a detection duration, and determine a target concentration level corresponding to the target user according to the detection duration, where the detection duration is used to reflect a duration of the second target being hit down.
In one implementation, the parameter determination module 02 includes:
a first scoring unit, configured to determine a target meditation score corresponding to the target user according to the target electroencephalogram signal, wherein the target meditation score is used for reflecting the concentration degree of the target user in the meditation process;
the interval determining unit is used for acquiring a plurality of preset fraction intervals and determining a target fraction interval corresponding to the target meditation score according to the fraction intervals, wherein the fraction intervals correspond to different frequencies respectively;
and the first frequency determining unit is used for determining the target frequency according to the frequency corresponding to the target score interval.
In one implementation, the first scoring unit includes:
the characteristic determining unit is used for determining the characteristics of the target electroencephalogram signal according to the target electroencephalogram signal;
the standard acquisition unit is used for acquiring standard electroencephalogram signal characteristics, wherein the standard electroencephalogram signal characteristics are used for reflecting the signal characteristics of the corresponding electroencephalogram signals when the meditation score is full score;
the characteristic comparison unit is used for determining a similarity numerical value according to the target electroencephalogram signal characteristic and the standard electroencephalogram signal characteristic;
a score determining unit for determining the target meditation score according to the similarity value.
In one implementation, the parameter determination module 02 includes:
a second scoring unit, configured to determine a target meditation score corresponding to the target user according to the target electroencephalogram signal, wherein the target meditation score is used for reflecting the concentration degree of the target user in the meditation process;
a curve acquisition unit for acquiring a preset curve for reflecting a correspondence between the frequency and the meditation score;
and the second frequency determining unit is used for determining the frequency corresponding to the target meditation score according to the curve to obtain the target frequency.
In one implementation, the parameter determination module 02 includes:
the candidate determining unit is used for acquiring a plurality of standard electromyographic signals, wherein the standard electromyographic signals correspond to different paths respectively, and each path comprises a moving direction and a moving length;
the signal matching unit is used for determining a target standard electromyographic signal corresponding to the target electromyographic signal according to a plurality of standard electromyographic signals, wherein the similarity between the target standard electromyographic signal and the target electromyographic signal is highest;
and the path determining unit is used for determining the target path according to the path corresponding to the target standard electromyographic signal.
In one implementation, the detection module 04 includes:
the interval acquisition unit is used for acquiring a plurality of preset duration intervals, wherein the plurality of duration intervals respectively correspond to different concentration levels;
the time length classifying unit is used for determining a target time length interval corresponding to the detection time length according to a plurality of time length intervals;
and the grade determining unit is used for determining the target concentration grade according to the concentration grade corresponding to the target duration interval.
In one implementation, the apparatus further comprises:
the difficulty adjusting unit is used for adjusting the frequencies corresponding to the score intervals according to the detection duration when the target frequency is determined based on the score intervals;
when the target frequency is determined based on the curve, adjusting the frequency corresponding to each meditation score on the curve according to the detection duration.
Based on the above embodiment, the present invention further provides a terminal, and a functional block diagram of the terminal may be as shown in fig. 3. The terminal comprises a processor, a memory, a network interface and a display screen which are connected through a system bus. Wherein the processor of the terminal is configured to provide computing and control capabilities. The memory of the terminal comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the terminal is used for connecting and communicating with an external terminal through a network. The computer program is executed by a processor to implement a concentration level determination method based on electroencephalogram data and electromyogram data. The display screen of the terminal can be a liquid crystal display screen or an electronic ink display screen.
It will be understood by those skilled in the art that the block diagram shown in fig. 3 is a block diagram of only a portion of the structure associated with the inventive arrangements and is not intended to limit the terminals to which the inventive arrangements may be applied, and that a particular terminal may include more or less components than those shown, or may have some components combined, or may have a different arrangement of components.
In one implementation, one or more programs are stored in a memory of the terminal and configured to be executed by one or more processors include instructions for performing a concentration level determination method based on electroencephalogram data and electromyogram data.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, databases, or other media used in embodiments provided herein may include non-volatile and/or volatile memory. Non-volatile 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), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
In summary, the invention discloses a concentration level determination method based on electroencephalogram data and electromyogram data, which comprises the following steps: acquiring a target electroencephalogram signal and a target electromyogram signal of a target user, wherein the target electroencephalogram signal is generated based on a meditation process of the target user, the target electromyogram signal is generated based on a movement intention of the target user, and the movement intention is used for aligning a first target and a second target in a target picture; determining a target frequency according to the target electroencephalogram signal, and determining a target path according to the target electromyogram signal; generating a target instruction according to the target path and the target frequency, and sending the target instruction to a target terminal playing the target picture so as to enable the target terminal to generate a target program based on the target instruction, wherein the target program is used for enabling the first target to move based on the target path and shooting based on the target frequency; and acquiring detection duration, and determining a target concentration level corresponding to the target user according to the detection duration, wherein the detection duration is used for reflecting the time length of the second target being knocked down. The method can objectively and accurately judge the current concentration level of the user through the electroencephalogram data and the electromyogram data of the user. The method solves the problem that in the prior art, the concentration level of an individual is difficult to objectively evaluate based on a subjective question-answering evaluation method.
It is to be understood that the invention is not limited to the examples described above, but that modifications and variations may be effected thereto by those of ordinary skill in the art in light of the foregoing description, and that all such modifications and variations are intended to be within the scope of the invention as defined by the appended claims.
Claims (16)
1. A method for determining concentration level based on electroencephalogram data and electromyogram data, the method comprising:
acquiring a target electroencephalogram signal and a target electromyogram signal of a target user, wherein the target electroencephalogram signal is generated based on a meditation process of the target user, the target electromyogram signal is generated based on a movement intention of the target user, and the movement intention is used for aligning a first target and a second target in a target picture;
determining a target frequency according to the target electroencephalogram signal, and determining a target path according to the target electromyogram signal;
generating a target instruction according to the target path and the target frequency, and sending the target instruction to a target terminal playing the target picture so as to enable the target terminal to generate a target program based on the target instruction, wherein the target program is used for enabling the first target to move based on the target path and shooting based on the target frequency;
and acquiring detection duration, and determining a target concentration level corresponding to the target user according to the detection duration, wherein the detection duration is used for reflecting the time length of the second target being knocked down.
2. The method for determining concentration level based on electroencephalogram data and electromyogram data according to claim 1, wherein the determining a target frequency from the target electroencephalogram signal comprises:
determining a target meditation score corresponding to the target user according to the target electroencephalogram signal, wherein the target meditation score is used for reflecting the concentration degree of the target user in the meditation process;
acquiring a plurality of preset score intervals, and determining a target score interval corresponding to the target meditation score according to the score intervals, wherein the score intervals correspond to different frequencies respectively;
and determining the target frequency according to the frequency corresponding to the target score interval.
3. The method for determining concentration level based on electroencephalogram data and electromyogram data according to claim 2, wherein the determining the target meditation score corresponding to the target user according to the target electroencephalogram signal comprises:
determining the characteristics of the target electroencephalogram signal according to the target electroencephalogram signal;
acquiring standard electroencephalogram signal characteristics, wherein the standard electroencephalogram signal characteristics are used for reflecting the signal characteristics of the corresponding electroencephalogram signals when the meditation score is full score;
determining a similarity numerical value according to the target electroencephalogram signal characteristic and the standard electroencephalogram signal characteristic;
and determining the target meditation score according to the similarity value.
4. The method for determining concentration level based on electroencephalogram data and electromyogram data according to claim 2, wherein the determining a target frequency from the target electroencephalogram signal comprises:
determining a target meditation score corresponding to the target user according to the target electroencephalogram signal, wherein the target meditation score is used for reflecting the concentration degree of the target user in the meditation process;
acquiring a preset curve, wherein the curve is used for reflecting the corresponding relation between the frequency and the meditation score;
and determining the frequency corresponding to the target meditation score according to the curve to obtain the target frequency.
5. The method for determining concentration level based on electroencephalogram data and electromyogram data according to claim 1, wherein the determining a target path according to the target electromyogram signal comprises:
acquiring a plurality of standard electromyographic signals, wherein the plurality of standard electromyographic signals correspond to different paths respectively, and each path comprises a moving direction and a moving length;
determining a target standard electromyographic signal corresponding to the target electromyographic signal according to the plurality of standard electromyographic signals, wherein the similarity between the target standard electromyographic signal and the target electromyographic signal is highest;
and determining the target path according to the path corresponding to the target standard electromyographic signal.
6. The method for determining concentration level based on electroencephalogram data and electromyogram data according to claim 1, wherein the determining the target concentration level corresponding to the target user according to the detection duration comprises:
acquiring a plurality of preset duration intervals, wherein the concentration levels corresponding to the duration intervals are different;
determining a target duration interval corresponding to the detection duration according to the duration intervals;
and determining the target concentration level according to the concentration level corresponding to the target duration interval.
7. The method for determining concentration level based on electroencephalogram data and electromyogram data according to claim 4, further comprising:
when the target frequency is determined based on the fractional intervals, adjusting the frequencies corresponding to the fractional intervals according to the detection duration;
when the target frequency is determined based on the curve, adjusting the frequency corresponding to each meditation score on the curve according to the detection duration.
8. An attention level determination apparatus based on electroencephalogram data and electromyogram data, the apparatus comprising:
the system comprises a signal acquisition module, a first target recognition module and a second target recognition module, wherein the signal acquisition module is used for acquiring a target electroencephalogram signal and a target electromyogram signal of a target user, the target electroencephalogram signal is generated based on a meditation process of the target user, the target electromyogram signal is generated based on a movement intention of the target user, and the movement intention is used for aligning a first target and a second target in a target picture;
the parameter determination module is used for determining a target frequency according to the target electroencephalogram signal and determining a target path according to the target electromyogram signal;
the transmitting module is used for generating a target instruction according to the target path and the target frequency, and sending the target instruction to a target terminal playing the target picture so as to enable the target terminal to generate a target program based on the target instruction, wherein the target program is used for enabling the first target to move based on the target path and shooting based on the target frequency;
and the detection module is used for acquiring detection duration and determining the target concentration level corresponding to the target user according to the detection duration, wherein the detection duration is used for reflecting the time length of the second target being knocked down.
9. The device of claim 8, wherein the parameter determination module comprises:
a first scoring unit, configured to determine a target meditation score corresponding to the target user according to the target electroencephalogram signal, wherein the target meditation score is used for reflecting the concentration degree of the target user in the meditation process;
the interval determining unit is used for acquiring a plurality of preset fraction intervals and determining a target fraction interval corresponding to the target meditation score according to the fraction intervals, wherein the fraction intervals correspond to different frequencies respectively;
and the first frequency determining unit is used for determining the target frequency according to the frequency corresponding to the target score interval.
10. The device for determining concentration level based on electroencephalogram data and electromyogram data according to claim 9, wherein the first scoring unit includes:
the characteristic determining unit is used for determining the characteristics of the target electroencephalogram signal according to the target electroencephalogram signal;
the standard acquisition unit is used for acquiring standard electroencephalogram signal characteristics, wherein the standard electroencephalogram signal characteristics are used for reflecting the signal characteristics of corresponding electroencephalogram signals when the meditation score is full score;
the characteristic comparison unit is used for determining a similarity numerical value according to the target electroencephalogram signal characteristic and the standard electroencephalogram signal characteristic;
a score determining unit for determining the target meditation score according to the similarity value.
11. The device of claim 9, wherein the parameter determination module comprises:
a second scoring unit, configured to determine a target meditation score corresponding to the target user according to the target electroencephalogram signal, wherein the target meditation score is used for reflecting the concentration degree of the target user in the meditation process;
a curve acquisition unit for acquiring a preset curve for reflecting a correspondence between the frequency and the meditation score;
and the second frequency determining unit is used for determining the frequency corresponding to the target meditation score according to the curve to obtain the target frequency.
12. The device of claim 8, wherein the parameter determination module comprises:
the device comprises a candidate determining unit, a judging unit and a processing unit, wherein the candidate determining unit is used for acquiring a plurality of standard electromyographic signals, the standard electromyographic signals correspond to different paths respectively, and each path comprises a moving direction and a moving length;
the signal matching unit is used for determining a target standard electromyographic signal corresponding to the target electromyographic signal according to a plurality of standard electromyographic signals, wherein the similarity between the target standard electromyographic signal and the target electromyographic signal is highest;
and the path determining unit is used for determining the target path according to the path corresponding to the target standard electromyographic signal.
13. The device of claim 8, wherein the detection module comprises:
the interval acquisition unit is used for acquiring a plurality of preset duration intervals, wherein the plurality of duration intervals respectively correspond to different concentration levels;
the time length classifying unit is used for determining a target time length interval corresponding to the detection time length according to a plurality of time length intervals;
and the grade determining unit is used for determining the target concentration grade according to the concentration grade corresponding to the target duration interval.
14. The device for determining concentration level based on electroencephalogram data and electromyogram data according to claim 11, further comprising:
the difficulty adjusting unit is used for adjusting the frequencies corresponding to the score intervals according to the detection duration when the target frequency is determined based on the score intervals;
when the target frequency is determined based on the curve, adjusting the frequency corresponding to each meditation score on the curve according to the detection duration.
15. A terminal, comprising a memory and one or more processors; the memory stores one or more programs; the program comprising instructions for carrying out the method for concentration level determination based on electroencephalogram data and electromyogram data according to any of claims 1 to 7; the processor is configured to execute the program.
16. A computer readable storage medium having stored thereon a plurality of instructions, wherein said instructions are adapted to be loaded and executed by a processor to perform the steps of the method for determining concentration level based on electroencephalogram data and electromyogram data of any of the above claims 1-7.
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