CN111680538A - Method and device for identifying stability of memorial meditation - Google Patents
Method and device for identifying stability of memorial meditation Download PDFInfo
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- CN111680538A CN111680538A CN202010288017.7A CN202010288017A CN111680538A CN 111680538 A CN111680538 A CN 111680538A CN 202010288017 A CN202010288017 A CN 202010288017A CN 111680538 A CN111680538 A CN 111680538A
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Abstract
The invention provides a method and a device for identifying the stability of a memorial meditation. The method for identifying the stability of the memorial meditation comprises the following steps: the first step is as follows: starting a camera of the electronic equipment to prepare for video recording; the second step is as follows: aiming the camera at the face of the meditation person, and starting to record in the state that the meditation person is reciting the meditation; the third step: determining a state change of the features of the meditation person face based on the video; the fourth step: and judging the stability of the positive meditation of the meditation people according to the state change.
Description
Technical Field
The invention relates to a method and a device for identifying the stability of a memorial meditation.
Background
Whether the sitting posture is stable or not in the process of the positive meditation affects the positive effect of the positive meditation on trainers, so that the stability of the user in the process of the positive meditation is recognized as a problem to be faced and solved by software and hardware developers in the field. However, because there is no suitable method and device for identifying the stability of the benignity meditation, the user usually starts a mobile phone camera and records the whole process of the benignity meditation as a video. After the memorial meditation is finished, the time points of face shaking, frowning and the like in the memorial meditation process are marked according to the state of people in the video and the video progress through watching video playback, and therefore the stability of the memorial meditation process is judged.
However, such an operation flow requires that the user first enters the mobile phone software for the memorial meditation to play the guidance language audio, and then starts the mobile phone photographing software and switches to the video recording mode. After completing the memorial meditation, the user also needs to spend a long time watching the video again, and manually mark unstable time points in the process. These operation paths and methods are too cumbersome and time consuming, which affects the user experience.
Disclosure of Invention
The present invention has been made to solve the above-mentioned problems occurring in the prior art, and an object of the present invention is to provide a method and an apparatus for identifying the stability of a meditation, which can directly identify the stability of the meditation from current meditation software without manually analyzing videos to obtain stability information by opening a plurality of software and taking a long time.
To solve the above problems, according to the present invention, there is provided a method for recognizing the stability of a memorial meditation, comprising: the first step is as follows: starting a camera of the electronic equipment to prepare for video recording; the second step is as follows: aiming the camera at the face of the meditation person, and starting to record in the state that the meditation person is reciting the meditation; the third step: determining a state change of the features of the meditation person face based on the video; the fourth step: and judging the stability of the positive meditation of the meditation people according to the state change.
Preferably, the third step comprises: acquiring a face image in a video frame, and detecting coordinates of the face of the meditation person as the characteristics of the face of the meditation person; recognizing and marking initial coordinates of the face, wherein the initial coordinates of the face are obtained from a first frame image obtained after video recording is started; recognizing the face coordinates of the current image frame, and calculating the state change of the face coordinates of the current image frame relative to the initial coordinates to serve as the measurement information of the state change.
Preferably, the coordinates of the eyebrow center of the face are taken as the face coordinates.
Preferably, the third step further comprises: and calculating the value of the face coordinate of the current image frame in the horizontal direction, subtracting the value from the horizontal coordinate value of the initial coordinate, and judging that the meditation person shakes left and right under the condition that the absolute value of the difference value of the value and the horizontal coordinate value is larger than an agreed judgment threshold value, thereby counting the left and right shaking times of the meditation person in the whole video as the measurement information of state change.
Preferably, the fourth step judges the positive meditation stability of the meditator using the comparison of the metric information of the state change with a predetermined threshold and the calculation result.
Preferably, the third step comprises: acquiring a face image in a video frame, detecting the face image to identify the proportion of the eyebrow spacing and the face width of the face and marking the proportion, wherein the eyebrow spacing is calculated by acquiring the eyebrow coordinates of two eyebrows through the face image, and the face width is calculated by acquiring a face rectangular region through the face image; subtracting the ratio of the eyebrow spacing and the face width of the face image of the current frame in the video from the ratio of the eyebrow spacing and the face width of the face image of the previous frame, and calculating to obtain a difference value; comparing the obtained difference value with a preset threshold value, and judging that frowning occurs to the face in the current frame under the condition that the difference value is larger than the preset threshold value; recording time of the current frame is recorded and frowning is marked.
Preferably, the fourth step judges the positive meditation stability of the meditation based on the number of times the meditation frowns frown the whole video.
Preferably, the fourth step judges the positive meditation stability of the meditation in conjunction with the number of times the meditation has occurred in the left and right shaking and the number of frowns in the entire video.
To solve the above problems, according to the present invention, there is also provided a scripted meditation stability identifying side apparatus comprising: an eyebrow acquisition module: coordinates used for acquiring the eyebrow center spacing and the face width of the user; eyebrow interval statistics module: acquiring eyebrow coordinates of the two eyebrows through an eyebrow acquisition module, and calculating to obtain the distance between the two eyebrows; face width statistics module: the face width is used for acquiring the face width of the video face image; frown statistics module: for calculating the ratio of the eyebrow spacing to the face width; subtracting the ratio of the eyebrow spacing and the face width of the face image of the current frame in the video from the ratio of the eyebrow spacing and the face width of the face image of the previous frame to calculate a difference value; wherein, the difference value is compared with a preset threshold value to calculate a difference value; frown storage module: and storing the related measurement information when the difference value is larger than a preset threshold value.
To solve the above problems, according to the present invention, there is also provided a scripted meditation stability identifying side apparatus including: an eyebrow center coordinate acquisition module: the coordinate acquisition module is used for acquiring the coordinates of the video face image; left-right shaking statistic module: according to the coordinates, subtracting the eyebrow center coordinates of the face image of the current frame in the video from the eyebrow center coordinates of the first frame, and calculating to obtain a difference value between the eyebrow center distance and the initial state; left and right shaking the storage module: and when the difference value calculated in the left-right shaking statistic module is greater than a preset threshold value, storing the related measurement information.
The method and the device for recognizing the stability of the positive meditation according to the present invention can directly recognize the stability of the positive meditation from the current positive meditation software without acquiring stability information by manually analyzing videos by opening a plurality of software and taking a long time.
Drawings
A more complete understanding of the present invention, and the attendant advantages and features thereof, will be more readily understood by reference to the following detailed description when considered in conjunction with the accompanying drawings wherein:
fig. 1 schematically shows an overall flow chart of the method for the stability identification of the candidal meditation according to a preferred embodiment of the invention.
Figure 2 schematically shows a flow chart of a specific example of a first step of the method for the determination of the stability of the scripted meditation according to the invention.
Figure 3 schematically shows a flow chart of a specific example of the second step of the method for the determination of the stability of the scripted meditation according to the invention.
Figure 4 schematically shows a flow chart of a specific example of a third step of the method for the determination of the stability of the scripted meditation according to the invention.
Figure 5 schematically shows a flow chart of a specific example of a fourth step of the method for the determination of the stability of the scripted meditation according to the invention.
Figure 6 is a schematic view of an electronic device running an application according to the present invention displaying the result of the stability of the memorial meditation.
Fig. 7 schematically shows a functional block diagram in a first embodiment of the device for positive meditation stability identification according to the present invention.
Fig. 8 schematically shows a functional block diagram in a second embodiment of the device for positive meditation stability identification according to the present invention.
It is to be noted, however, that the appended drawings illustrate rather than limit the invention. It is noted that the drawings representing structures may not be drawn to scale. Also, in the drawings, the same or similar elements are denoted by the same or similar reference numerals.
Detailed Description
In order that the present disclosure may be more clearly and readily understood, reference will now be made in detail to the present disclosure as illustrated in the accompanying drawings.
Fig. 1 schematically shows an overall flow chart of the method for the stability identification of the candidal meditation according to a preferred embodiment of the invention.
The method for identifying the stability of the memorial meditation according to a particularly preferred embodiment of the present invention may include:
first step S1: starting a camera of the electronic equipment to prepare for video recording;
second step S2: aiming the camera at the face of the meditation person, and starting to record in the state that the meditation person is reciting the meditation;
third step S3: determining a state change of the features of the meditation person face based on the video;
fourth step S4: and judging the stability of the positive meditation of the meditation people according to the state change.
Specifically, in a preferred example, the third step S3 may include: acquiring a face image in a video frame, and detecting coordinates of the face of the meditation person as the characteristics of the face of the meditation person; recognizing and marking initial coordinates of the face, wherein the initial coordinates of the face are obtained from a first frame image obtained after video recording is started; the face coordinates of the current image frame are recognized, and the state change of the face coordinates of the current image frame relative to the initial coordinates (for example, the specific time when the coordinate values change left and right, the left and right change amplitude values of the coordinate values, the duration of the change, the time required for recovering to the initial coordinates, and the like) is calculated as the measurement information of the state change.
For example, the coordinates of the eyebrow center of the face may be used as the face coordinates.
The third step S3 may further include: and calculating the value of the face coordinate of the current image frame in the horizontal direction, subtracting the value from the horizontal coordinate value of the initial coordinate, and judging that the meditation person shakes left and right under the condition that the absolute value of the difference value of the value and the horizontal coordinate value is larger than an agreed judgment threshold value, thereby counting the left and right shaking times of the meditation person in the whole video as the measurement information of state change.
Thus, for example, the fourth step S4 may determine the positive meditation stability of the meditation using the comparison and calculation result of the metric information of the state change with the predetermined threshold.
Specifically, in another preferred example, the third step S3 may include: acquiring a face image in a video frame, detecting the face image to identify the proportion of the eyebrow spacing and the face width of the face and marking the proportion, wherein the eyebrow spacing is calculated by acquiring the eyebrow coordinates of two eyebrows through the face image, and the face width is calculated by acquiring a face rectangular region through the face image; subtracting the ratio of the eyebrow spacing and the face width of the face image of the current frame in the video from the ratio of the eyebrow spacing and the face width of the face image of the previous frame, and calculating to obtain a difference value; comparing the obtained difference value with a preset threshold value, and judging that frowning occurs to the face in the current frame under the condition that the difference value is larger than the preset threshold value; recording time of the current frame is recorded and frowning is marked. Thus, for example, the fourth step S4 may judge the positive meditation stability of the meditation based on the number of times the meditation frowns frown in the entire video.
Further preferably, the fourth step S4 may judge the positive meditation stability of the meditation in conjunction with the number of times the meditation has occurred in the whole video and the number of frowns.
Specific examples will be discussed below.
< specific example of the first step >
Figure 2 schematically shows a flow chart of a specific example of a first step of the method for the determination of the stability of the scripted meditation according to the invention.
Referring to fig. 2, a specific example of the first step of the method for identifying the stability of the memorial meditation according to the present invention may include:
step S10: and acquiring a front camera of the mobile phone so as to record videos. The mobile phone front camera page can be received on the mobile phone display screen to obtain state display. The page displays images that the front-facing camera can record. The camera recording area can be preset by an application program, such as a full screen, a square or a rectangle with other proportions, and the shape of the camera recording area can be provided for a user to adjust.
For example, the opening state of the front camera is displayed on a page; the starting state of the camera can be obtained through the API, when the starting state is successful, the page can display the image obtained by the camera, and when the starting state is failed, the page can guide a user to start the camera through friendly prompt information.
< specific example of the second step >
Figure 3 schematically shows a flow chart of a specific example of the second step of the method for the determination of the stability of the scripted meditation according to the invention.
Referring to fig. 3, a specific example of the second step of the method for identifying the stability of the memorial meditation according to the present invention includes:
step S20: a selection operation of a positive meditation state of a page is received.
For example, the page displays the current state of the memorial meditation and the selection operation, the operation option displayed in the state not in progress is to start meditation, and the operation option displayed in the process of recording is to suspend meditation.
Step S21: the memorial meditation is controlled to be in an ongoing state to turn on a video recording state.
For example, the video recording state is started at this time, and the face image in the page starts to be received and recognized. Specifically, if the face cannot be recognized in this step, help information is displayed to prompt the user to aim the front camera at the face.
For example, controls associated with video recording may include ongoing operations and states of the memorial meditation as not started; wherein the status of the memorial meditation is displayed; wherein the states include not started and started; wherein, the users in the two states can be switched at will; wherein, the recording state of the video is associated with the positive meditation state, and when the positive meditation state is not started, the video is not recorded; when the memorial meditation status is started, the video recording is in progress.
< first specific example of third step >
Figure 4 schematically shows a flow chart of a first specific example of a third step of the method for the determination of the stability of the scripted meditation according to the invention.
Referring to fig. 4, a first specific example of the third step of the method for recognizing the stability of the memorial meditation according to the present invention includes:
step S30: acquiring and detecting a current face state image, and identifying and marking initial coordinates of a face;
specifically, for example, the step acquires and sets coordinates of the eyebrow position of the face of the user as initial coordinates, and stores the initial coordinates for subsequent comparison. If the face is skewed or the face cannot be recognized due to other abnormal conditions, help information is displayed to prompt a user to aim the front-facing camera at the face.
Step S31: and identifying the change in the current face state image, and marking the amplitude, the change time and the recovery time of the left change and the right change so as to record the measurement information of the change.
Specifically, the application program may preset a threshold value related to the left-right shaking of the face, and the threshold value may be preset by the application program, or may be used by the user to try out a value most suitable for the shaking amplitude of the user.
In the video recording process, each frame of the video is obtained, if the face eyebrow center coordinates of the current frame are judged to be compared with the face eyebrow center coordinates of the initial frame, a difference value is obtained, when the generated difference value exceeds a face left-right shaking threshold value, the difference value is marked as 1-time shaking, and the time of the current frame is left-right shaking starting time; until the face eyebrow center coordinates of the next frame are smaller than a threshold value, the time of the video frame is marked as the left-right shaking ending time; the duration of the left-right shaking can be obtained by subtracting the starting time from the ending time.
< second specific example of third step >
Figure 5 schematically shows a flow chart of a second specific example of a third step of the method for the determination of the stability of the scripted meditation according to the invention.
Referring to fig. 5, a second specific example of the third step of the method for identifying the stability of the memorial meditation according to the present invention includes:
step S40, acquiring and detecting the current face state image, identifying the distance between the eyebrows and the width of the face and marking;
in step S41, the change amplitude, change time and recovery time of the current ratio of the eyebrow interval to the face width are identified to record the changed metric information.
Specifically, the application program may preset a threshold value for frowning, and the threshold value may be preset by the application program, or may be used by the user to try out a value most suitable for the amplitude of frowning.
In the video recording process, each frame of the video is obtained, the ratio of the eyebrow spacing to the face width is planned, if the difference value between the ratio of the current frame and the ratio of the previous frame is judged to exceed a threshold value, the frame is marked as 1-time frown wrinkling, and the time of the current frame is the starting time of the frown wrinkling; until the difference value calculated by the next frame and the current frame is smaller than the threshold value, the time of the video frame is marked as the ending time of the frown at this time; and subtracting the starting time from the ending time to obtain the duration of the frown.
< example of positive meditation stability result >
Fig. 6 is a schematic diagram of an example of an electronic device running an application according to the present invention displaying the result of the stability of the memorial meditation.
Figure 6 shows what is displayed when the electronic device runs the memorial meditation application. Page S50 shows the result of the stability of the memorial meditation. As can be seen from fig. 6, during the scripted meditation, the user has performed a frown operation on the document S51, i.e., the 4 th second; specifically, by judging the ratio of the eyebrow spacing to the face width of the video frame in the 4 th second, and comparing the ratio of the eyebrow spacing to the face width of the previous frame, if the difference exceeds a preset threshold, marking the 4 th second as 1-time frown; correspondingly, when the difference value of the ratio of the eyebrow spacing to the face width is smaller than the preset threshold value when the 7 th video frame is compared with the previous frame, the frown is marked to be finished, and meanwhile, the result displayed in the S52 file that the duration of the frown is 3 seconds can be obtained when the 7 th second minus the 4 th second.
< first apparatus embodiment >
Fig. 7 schematically shows a functional block diagram in a first embodiment of the device for positive meditation stability identification according to the present invention.
Referring to fig. 7, a first embodiment of the memorial meditation stability recognition device according to the present invention includes, but is not limited to: the eyebrow calculating device comprises an eyebrow acquiring module S61, an eyebrow distance counting module S62, a face width acquiring module S63, a frown counting module S64 and a frown storing module S65.
The eyebrow acquiring module S61 is used for recognizing the face image in the image and acquiring the value of the eyebrow coordinates of two eyebrows; wherein, the eyebrow coordinates of the two eyebrows can be obtained through the dlib software library;
the eyebrow distance statistic module S62 is configured to calculate the eyebrow distance between two obtained eyebrows according to the eyebrow coordinates of the two obtained eyebrows generated by the obtaining module S61.
The face width obtaining module S63 is configured to obtain a face width value, which may be obtained by obtaining a rectangular region of a human face through an opencv computer vision library, for example, and further obtain a width value.
The frown statistical module S64 is used for calculating the ratio of the eyebrow spacing to the face width, thereby determining whether to frown. The data of the eyebrow spacing and the face width are obtained by the modules, and a ratio is generated by a statistical module S64; subtracting the ratio of the eyebrow spacing of the previous frame and the width of the face from the ratio of the ratio to calculate a difference value; subtracting the difference value from a frown threshold value, wherein the threshold value can be preset by an application program, or the threshold value which is most suitable for the user can be obtained by the user through face recognition debugging for multiple times and then is preset in the module;
the frown storing module S65 is configured to store the correlation value when the difference value counted by the counting module S64 is greater than the threshold value, so as to obtain the measurement information of the frown.
< second apparatus embodiment >
Fig. 8 schematically shows a functional block diagram in a second embodiment of the device for positive meditation stability identification according to the present invention.
Referring to fig. 8, a second embodiment of the posing meditation stability identification device according to the present invention includes, but is not limited to: the eyebrow center coordinate acquisition module S71, the left-right shaking statistic module S72 and the left-right shaking storage module S73.
The eyebrow center coordinate acquiring module S71 is used for recognizing the face image in the image and acquiring the value of the eyebrow center coordinate; the eyebrow center coordinates can be obtained through a dlib software library for example;
the left-right shaking statistic module S72 is configured to calculate a difference value between the coordinate value generated by the obtaining module S71 and an initial eyebrow center coordinate of a first frame of a face in the video image; subtracting the left-right shaking threshold value from the difference value; the threshold value can be preset by an application program, or the threshold value which is most suitable for the user can be obtained by the user through face recognition debugging for multiple times and then is preset in the module;
the left-right shaking storage module S73 is configured to store the related data when the difference value counted by the counting module S72 is greater than the threshold value, so as to obtain the measurement information of the left-right shaking of the face.
Of course, it will be apparent to any person skilled in the art that the modules of fig. 7 and 8 can be combined into a single apparatus to achieve more comprehensive analysis without departing from the scope of the present invention.
Therefore, the method and the device for identifying the stability of the memorial meditation provided by the invention can automatically store the results of frowning and side-to-side shaking of the face in the process when the face state identified by the page is received, and provide the directly related measurement information for the user to check after the meditation is finished so as to directly and quickly identify the stability of the memorial meditation.
The method and the device for recognizing the stability of the positive meditation according to the present invention can directly recognize the stability of the positive meditation from the current positive meditation software without acquiring stability information by manually analyzing videos by opening a plurality of software and taking a long time.
It should be noted that the terms "first", "second", "third", and the like in the description are used for distinguishing various components, elements, steps, and the like in the description, and are not used for indicating a logical relationship or a sequential relationship between the various components, elements, steps, and the like, unless otherwise specified.
It is to be understood that while the present invention has been described in conjunction with the preferred embodiments thereof, it is not intended to limit the invention to those embodiments. It will be apparent to those skilled in the art from this disclosure that many changes and modifications can be made, or equivalents modified, in the embodiments of the invention without departing from the scope of the invention. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.
Claims (10)
1. A method for identifying the stability of a memorial meditation, comprising:
the first step is as follows: starting a camera of the electronic equipment to prepare for video recording;
the second step is as follows: aiming the camera at the face of the meditation person, and starting to record in the state that the meditation person is reciting the meditation;
the third step: determining a state change of the features of the meditation person face based on the video;
the fourth step: and judging the stability of the positive meditation of the meditation people according to the state change.
2. The method for recognizing the stability of the meditation according to claim 1, wherein the third step comprises:
acquiring a face image in a video frame, and detecting coordinates of the face of the meditation person as the characteristics of the face of the meditation person;
recognizing and marking initial coordinates of the face, wherein the initial coordinates of the face are obtained from a first frame image obtained after video recording is started;
recognizing the face coordinates of the current image frame, and calculating the state change of the face coordinates of the current image frame relative to the initial coordinates to serve as the measurement information of the state change.
3. The method for recognizing the stability of the memorial meditation according to claim 2, wherein the coordinates of the face's eyebrow center are taken as the face coordinates.
4. The method for recognizing the stability of the memorial meditation according to claim 2, wherein the third step further comprises: and calculating the value of the face coordinate of the current image frame in the horizontal direction, subtracting the value from the horizontal coordinate value of the initial coordinate, and judging that the meditation person shakes left and right under the condition that the absolute value of the difference value of the value and the horizontal coordinate value is larger than an agreed judgment threshold value, thereby counting the left and right shaking times of the meditation person in the whole video as the measurement information of state change.
5. The method for recognizing the positive meditation stability according to claim 4, wherein the fourth step judges the positive meditation stability of the mediator using the comparison and calculation result of the metric information of the state change with a predetermined threshold value.
6. The method for identifying the stability of the memorial meditation according to claim 1 or 2, wherein the third step comprises: acquiring a face image in a video frame, detecting the face image to identify the proportion of the eyebrow spacing and the face width of the face and marking the proportion, wherein the eyebrow spacing is calculated by acquiring the eyebrow coordinates of two eyebrows through the face image, and the face width is calculated by acquiring a face rectangular region through the face image; subtracting the ratio of the eyebrow spacing and the face width of the face image of the current frame in the video from the ratio of the eyebrow spacing and the face width of the face image of the previous frame, and calculating to obtain a difference value; comparing the obtained difference value with a preset threshold value, and judging that frowning occurs to the face in the current frame under the condition that the difference value is larger than the preset threshold value; recording time of the current frame is recorded and frowning is marked.
7. The method for recognizing the positive meditation stability according to claim 6, wherein the fourth step judges the positive meditation stability of the meditation based on the number of times the meditation frowns frown over the entire video, for example.
8. The method for recognizing the positive meditation stability of claim 6, wherein the fourth step determines the positive meditation stability of the meditation in combination with the number of times the meditation has shaken left and right and the number of frowns in the entire video.
9. A memorial meditation stability identifying side apparatus characterized by comprising:
an eyebrow acquisition module: coordinates used for acquiring the eyebrow center spacing and the face width of the user;
eyebrow interval statistics module: acquiring eyebrow coordinates of the two eyebrows through an eyebrow acquisition module, and calculating to obtain the distance between the two eyebrows;
face width statistics module: the face width is used for acquiring the face width of the video face image;
frown statistics module: for calculating the ratio of the eyebrow spacing to the face width; subtracting the ratio of the eyebrow spacing and the face width of the face image of the current frame in the video from the ratio of the eyebrow spacing and the face width of the face image of the previous frame to calculate a difference value; wherein, the difference value is compared with a preset threshold value to calculate a difference value;
frown storage module: and storing the related measurement information when the difference value is larger than a preset threshold value.
10. A memorial meditation stability identifying side apparatus characterized by comprising:
an eyebrow center coordinate acquisition module: the coordinate acquisition module is used for acquiring the coordinates of the video face image;
left-right shaking statistic module: according to the coordinates, subtracting the eyebrow center coordinates of the face image of the current frame in the video from the eyebrow center coordinates of the first frame, and calculating to obtain a difference value between the eyebrow center distance and the initial state;
left and right shaking the storage module: and when the difference value calculated in the left-right shaking statistic module is greater than a preset threshold value, storing the related measurement information.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113952582A (en) * | 2021-12-20 | 2022-01-21 | 深圳市心流科技有限公司 | Method and device for controlling interrupted meditation sound effect based on electroencephalogram signals |
| CN114159077A (en) * | 2022-02-09 | 2022-03-11 | 浙江强脑科技有限公司 | Meditation scoring method, device, terminal and storage medium based on electroencephalogram signals |
| CN114887186A (en) * | 2021-11-18 | 2022-08-12 | 苏州大学 | Method, device, equipment and storage medium for training of memorial meditation |
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| CN114159077A (en) * | 2022-02-09 | 2022-03-11 | 浙江强脑科技有限公司 | Meditation scoring method, device, terminal and storage medium based on electroencephalogram signals |
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