CN114625301A - Display method, display device, electronic equipment and storage medium - Google Patents
Display method, display device, electronic equipment and storage medium Download PDFInfo
- Publication number
- CN114625301A CN114625301A CN202210516613.5A CN202210516613A CN114625301A CN 114625301 A CN114625301 A CN 114625301A CN 202210516613 A CN202210516613 A CN 202210516613A CN 114625301 A CN114625301 A CN 114625301A
- Authority
- CN
- China
- Prior art keywords
- experiencer
- training
- initial
- state
- display
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0481—Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
- G06F3/0483—Interaction with page-structured environments, e.g. book metaphor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
- G06F3/015—Input arrangements based on nervous system activity detection, e.g. brain waves [EEG] detection, electromyograms [EMG] detection, electrodermal response detection
Abstract
The application provides a display method, a display device, an electronic device and a storage medium, wherein the method comprises the following steps: determining a target scene from a plurality of preset training scenes in response to the selection operation of the meditation training experiencer for the training scenes; based on the initial thought state of the experiencer, displaying a target scene on a graphical user interface in a display mode corresponding to the initial thought state; if the initial biological index data of the experiencer changes, the graphical user interface displays the target scene in a display mode corresponding to the initial thought state, and transitions to display the target scene in a display mode corresponding to the current thought state; the contents displayed on the graphical user interface are used for observing the experiencers to help the experiencers to know the current thought state of the experiencers and further complete meditation training. The thought change process of the experiencer in the meditation training process can be visually experienced, and the training effect is improved.
Description
Technical Field
The present application relates to the field of image display technologies, and in particular, to a display method, an apparatus, an electronic device, and a storage medium.
Background
Meditation (meditation) is a form of changing consciousness that enhances self-knowledge and well-being by achieving a quiet state of depth. Meditation is a state in which people consciously make the brain out of consciousness and calm down psychologically.
In order to enable the experiencer to enter the meditation state, methods for training the experiencer to carry out the meditation state are implemented, such as playing prompt sound effects or videos. However, the criteria for the trainer to decide whether or when to enter the meditation state are ambiguous. Failure to determine whether the experiencer is actually entering meditation can result in a loss of training.
Disclosure of Invention
In view of the above, an object of the present invention is to provide a display method, an apparatus, an electronic device and a storage medium, which can visually experience the thought change process of the experiencer during the meditation training process, thereby improving the training effect.
In a first aspect, an embodiment of the present application provides a display method, where the method is applied to a display terminal, and the display terminal provides a graphical user interface, where the method includes:
determining a target scene from a plurality of preset training scenes in response to the selection operation of the meditation training experiencer for the training scenes;
displaying the target scene on the graphical user interface in a display mode corresponding to the initial thought state based on the initial thought state of the experiencer; the initial thought state is determined according to initial biological index data of the experiencer;
if the initial biological index data of the experiencer changes, the graphical user interface displays the target scene in a display mode corresponding to the initial thought state, and transitions to display the target scene in a display mode corresponding to the current thought state; the current thought state is determined according to the current biological index data of the experiencer;
the contents displayed by the graphical user interface are used for the experiencers to observe so as to help the experiencers to know the current thought state of the experiencers and further complete meditation training.
In some technical solutions of the present application, the target scene includes a background element and a highlight element, and the display mode includes:
in the background element, the highlight element is dynamically or statically displayed.
In some embodiments of the present application, the dynamically displaying the highlighted element includes:
determining dynamic display attribute data according to the initial biological index data or the current biological index data;
and dynamically displaying the highlighted element according to the dynamic display attribute data.
In some technical solutions of the present application, the target scene includes a background element, a salient element, and an auxiliary element, and the display mode includes:
the salient elements are statically displayed in the background elements, and the auxiliary elements are displayed in the background elements in a preset appearing mode or a preset hiding mode.
In some technical solutions of the present application, the preset appearing mode or hiding mode is determined by the following mode:
determining preset parameters according to initial biological index data or current biological index data of an experiencer;
and generating a preset display mode or a preset hiding mode according to the preset parameters.
In some embodiments of the present application, the biological indicator data includes: electroencephalogram data and heart rate variability data; determining the thought state from the biometric data includes:
according to the electroencephalogram data of the experiencer, determining the concentration degree and the initial relaxation value of the experiencer;
determining a pressure value of the experiencer according to the heart rate variability data of the experiencer;
synthesizing the initial relaxation value and the pressure value of the experiencer to obtain a target relaxation value of the experiencer;
and determining the thought state of the experiencer according to the concentration degree, the target relaxation value and a preset threshold value of the experiencer.
In some technical solutions of the present application, the method further includes:
after the meditation training is finished, the initial thought state and the current thought state of the experiencer are integrated, and the thought change process of the experiencer in the meditation training process is displayed on the graphical user interface.
In some embodiments of the present application, the method further includes: if the current biological index data of the experiencer changes, the graphical user interface displays the target scene in a display mode corresponding to the current thought state, and the display mode corresponding to the new current thought state is changed into the display mode corresponding to the new current thought state; the new current mind state is determined from the new current biometric data of the experiencer.
In a second aspect, an embodiment of the present application provides a display apparatus residing in a display terminal, where the display terminal provides a graphical user interface, and the apparatus includes:
the determination module is used for responding to the selection operation of the meditation training experiencer aiming at the training scenes and determining a target scene from a plurality of preset training scenes;
the display module is used for displaying the target scene on the graphical user interface in a display mode corresponding to the initial thought state based on the initial thought state of the experiencer; the initial thought state is determined according to initial biological index data of the experiencer;
if the initial biological index data of the experiencer changes, the graphical user interface displays the target scene in a display mode corresponding to the initial thought state, and the display mode of the graphical user interface is changed into a display mode corresponding to the current thought state; the current thought state is determined according to the current biological index data of the experiencer;
the contents displayed by the graphical user interface are used for the experiencers to observe so as to help the experiencers to know the current thought state of the experiencers and further complete meditation training.
In a third aspect, an embodiment of the present application provides an electronic device, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor implements the steps of the display method when executing the computer program.
In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to perform the steps of the display method described above.
The technical scheme provided by the embodiment of the application can have the following beneficial effects:
the method comprises the steps that selection operation of a meditation training experiencer for training scenes is responded, and a target scene is determined from a plurality of preset training scenes; then, based on the initial thought state of the experiencer, displaying the target scene on the graphical user interface in a display mode corresponding to the initial thought state; the initial thought state is determined according to initial biological index data of the experiencer; then, if the initial biological index data of the experiencer changes, the graphical user interface displays the target scene in a display mode corresponding to the initial thought state, and transitions to display the target scene in a display mode corresponding to the current thought state; the current thought state is determined according to the current biological index data of the experiencer; the contents displayed by the graphical user interface are used for the experiencers to observe so as to help the experiencers to know the current thought state of the experiencers and further complete meditation training. The thought change process of the experiencer in the meditation training process can be visually experienced, and the training effect is improved.
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
Fig. 1 is a schematic flow chart illustrating a display method provided in an embodiment of the present application;
FIG. 2 is a schematic diagram illustrating a process for determining an idea state according to an embodiment of the present application;
FIG. 3 is a schematic diagram of a display device provided by an embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it should be understood that the drawings in the present application are for illustrative and descriptive purposes only and are not used to limit the scope of protection of the present application. Additionally, it should be understood that the schematic drawings are not necessarily drawn to scale. The flowcharts used in this application illustrate operations implemented according to some embodiments of the present application. It should be understood that the operations of the flow diagrams may be performed out of order, and steps without logical context may be performed in reverse order or simultaneously. One skilled in the art, under the guidance of this application, may add one or more other operations to, or remove one or more operations from, the flowchart.
In addition, the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that in the embodiments of the present application, the term "comprising" is used to indicate the presence of the features stated hereinafter, but does not exclude the addition of further features.
Meditation (meditation) is a form of changing consciousness that enhances self-knowledge and well-being by achieving a quiet state of depth. Meditation is a state in which people consciously make the brain be out of consciousness and calm down in psychology.
In order to enable the experiencer to enter the meditation state, methods for training the experiencer to carry out the meditation state are implemented, such as playing prompt sound effects or videos. However, the criteria for the trainer to decide whether or when to enter the meditation state are ambiguous. Failure to determine whether the experiencer is actually entering meditation can result in a loss of training.
Based on this, embodiments of the present application provide a display method, an apparatus, an electronic device, and a storage medium, which are described below by way of embodiments.
Biofeedback utilizes precision instruments to detect and amplify the human body biological index change process. The processed signal is visualized and converted into read data. People can know the physical state through the biological feedback signal and get positive improvement through training. HRV (heart rate variability) refers to the variability of heart rate as a difference in the variation of the heart cycle, which may reflect the heart health and present abnormalities. The HRV can display the state of the heart under external influence and can thus be used to identify stress, while the heart rate can also reflect the psychological state and the psychological changes.
Brain waves can detect changes in brain activity of a person under different emotions and conditions. Generally, the brain wave band is divided into α waves: 8-13Hz, beta wave: 13-30Hz, theta wave: 4-8Hz, delta wave: 1-4 Hz. The brain waves in the meditation state are clearly characterized. The prior art realizes that the meditation state is judged by utilizing HRV fluctuation, the attention is analyzed through electroencephalogram signals to reflect the user state, the description of the meditation state degree is only included, whether the user is in the meditation state cannot be judged in real time, and therefore effective guidance cannot be conducted on meditation training of the user in a natural and immersive mode.
The meditation training system aims to optimize the meditation training experience of a user, change unidirectional real-time feedback into a dynamic process, reflect conversion between a non-meditation state and a meditation state of the user through dynamic images in a natural scene, and guide the user to carry out more effective meditation training with better experience feeling by using an immersive picture based on natural aesthetic concepts and real-time biofeedback data while helping the user know the brain state of the user.
Fig. 1 is a flowchart illustrating a display method provided by an embodiment of the present application, and is applied to a display terminal, where the display terminal provides a graphical user interface, where the method includes steps S101-S103; specifically, the method comprises the following steps:
s101, determining a target scene from a plurality of preset training scenes in response to selection operation of a meditation training experiencer for the training scenes;
s102, displaying a target scene on a graphical user interface in a display mode corresponding to the initial thought state based on the initial thought state of the experiencer; the initial thought state is determined according to the initial biological index data of the experiencer;
s103, if the initial biological index data of the experiencer changes, the graphical user interface displays the target scene in a display mode corresponding to the initial thought state, and the display mode corresponding to the current thought state is changed into the display mode; the current thought state is determined according to the current biological index data of the experiencer;
the contents displayed on the graphical user interface are used for observing the experiencers to help the experiencers to know the current thought state of the experiencers and further complete meditation training.
The thought change process of the experience person in the meditation training process can be visually experienced, and the training effect is improved.
Some embodiments of the present application are described in detail below. The embodiments described below and the features of the embodiments can be combined with each other without conflict.
S101, in response to the selection operation of the meditation training experiencer for the training scenes, a target scene is determined from a plurality of preset training scenes.
According to the method and the device, a plurality of preset training scenes are provided for trainers, and the experiencers can select favorite target scenes from the preset training scenes according to preferences of the experiencers before meditation training.
After selecting the target scene, the experiencer will perform meditation training under the target scene.
S102, displaying a target scene on a graphical user interface in a display mode corresponding to the initial thought state based on the initial thought state of the experiencer; the initial mind state is determined from the initial biometric data of the experiencer.
S103, if the initial biological index data of the experiencer changes, the graphical user interface displays the target scene in a display mode corresponding to the initial thought state, and transitions to display the target scene in a display mode corresponding to the current thought state; the current mind state is determined from the current biometric data of the experiencer. The contents displayed on the graphical user interface are used for observing the experiencers to help the experiencers to know the current thought state of the experiencers and further complete meditation training.
In the process of performing the meditation training, the application firstly acquires initial biological index data of the experiencer before or at the beginning of the meditation training. Based on the collected initial biological index data, an initial thought state of the experiencer is determined.
Then, the method obtains the biological index data of the experiencer in real time during the meditation training process of the experiencer, and then analyzes the current biological index data of the experiencer. Determining whether the experiencer is in a meditation state based on the experiencer current biometric data. And displaying whether the experiencer is in the meditation state or not through a graphical user interface, and further helping the experiencer to know the current thought state of the experiencer.
The bio-indicator data (including the initial bio-indicator data and the current bio-indicator data) in the present application includes electroencephalogram data and heart rate variability data. The portable electroencephalogram acquisition head ring can be worn for real-time acquisition. The initial biological index data and the current biological index data are distinguished according to the acquisition time, and the initial biological index data is the biological index data before or just before the meditation training. The biological index data of the experiencer can change during the meditation training process of the experiencer. The application refers to the biological index data of the experiencer after the initial biological index data is changed as the current biological index data. That is, the biomarker data collected after the initial biomarker data are all current biomarker data. The current biometric data may all be in multiple levels, for example, the current biometric data acquired the first time, the current biometric data acquired the second time … … the current biometric data acquired the nth time.
According to the method and the device, after the initial biological index data are collected, the initial thought state of the experiencer is determined according to the initial biological index data, and the target scene is displayed through the graphical user interface by selecting the display mode corresponding to the initial thought state according to the initial thought state of the experiencer. The correspondence relationship here is set in advance. Then, the current thought state of the experiencer is determined according to the current biological index data of the experiencer, and the target scene is displayed through the graphical user interface in a display mode corresponding to the initial thought state.
In this embodiment, as an optional embodiment, the method further includes: if the current biological index data of the experiencer changes, the graphical user interface displays the target scene in a display mode corresponding to the current thought state, and transitions to display the target scene in a display mode corresponding to the new current thought state; the new current mind state is determined from the new current biometric data of the experiencer. That is to say, the content displayed on the graphical user interface in the present application is changed in real time along with the biometric data of the user, and the thought state of the experiencer can be displayed in real time, and when the display mode is the preset display mode, the thought state of the experiencer is considered as the meditation state.
In the embodiment of the present application, as an alternative embodiment, as shown in fig. 2, the determining the thought state according to the biological index data in the present application includes:
s201, determining the concentration degree and the initial relaxation value of the experiencer according to the electroencephalogram data of the experiencer;
s202, determining a pressure value of the experiencer according to the heart rate variability data of the experiencer;
s203, synthesizing the initial relaxation value and the pressure value of the experiencer to obtain a target relaxation value of the experiencer;
s204, determining the thought state of the experiencer according to the concentration degree, the target relaxation value and a preset threshold value of the experiencer.
After the electroencephalogram data and the heart rate variability data of the experiencer are obtained, the concentration degree and the initial relaxation value of the experiencer during meditation training are obtained by analyzing the electroencephalogram data. The pressure value of the experiencer in meditation training is obtained by analyzing the heart rate variability data of the experiencer. Here, the analysis processes of the electroencephalogram data and the heart rate variability data can be realized in the prior art, and are not described again.
Then, the relation between the initial relaxation value and the pressure value is comprehensively considered, the initial relaxation value and the pressure value are comprehensively processed (the pressure value is subtracted from the initial relaxation value or corresponding weights are respectively set for the initial relaxation value and the pressure value, and the like), and a target relaxation value is obtained. After the concentration degree and the target relaxation value of the experiencer during meditation training are obtained, the concentration degree and the target relaxation value are respectively compared with the preset threshold value, and then the thought state of the experiencer during meditation training is determined. When concentration and target relaxation values are compared to preset thresholds, the present application recognizes that at least one of concentration and the target relaxation values is less than the preset thresholds, the experiencer is in a non-meditation state. I.e. concentration and target relaxation value are both greater than or equal to the preset threshold values, the experiencer is in meditation.
In practice, the concentration and target release levels analyzed by the present application are a number between 0 and 100. When the concentration degree and the target release degree are less than 30 at the same time, or one of the two values is less than 30, the user is in the non-meditation state. When the concentration degree and the target release degree are both 30-60, the user is in a meditation state. When the concentration reading degree and the relaxation degree are both more than 60, the user is in the deep meditation state.
In the embodiment of the present application, as an optional embodiment, the target scene in the present application includes a background element and a salient element, or the target scene includes a background element, a salient element and an auxiliary element. The (initial or current) mind state of the experiencer is determined from (initial or current) biometric data of the experiencer. The thought states here include a meditation state and a non-meditation state. And if the experience person is in the meditation state, selecting a preset display mode corresponding to the meditation state to display the target scene. And if the experiencer is in the non-meditation state, selecting a preset display mode corresponding to the non-meditation state to display the target scene.
Different contents are set in a target scene in the application, and the first type is that the target scene comprises a background element and a salient element. At this time, the display mode of the target scene includes: in the background element, the highlight element is displayed dynamically or statically. When the corresponding relation between the display mode and the thought state of the experiencer is set, the highlight elements are dynamically displayed in the background elements in advance, and a mapping relation is established between the highlight elements and the experiencer in a meditation state; and the highlighted element will be displayed statically in the background element, establishing a mapping relationship with the experienced person in a non-meditation state. Or dynamically displaying the highlight elements in the background elements in advance, and establishing a mapping relation with the experience person in a non-meditation state; and the highlighted element will be displayed statically in the background element, establishing a mapping relationship with the experiencing person in meditation.
In order to improve the display effect, when the highlighted element is dynamically displayed in the background element, the dynamic display attribute data is further determined according to the initial biological index data or the current biological index data; and then dynamically displaying the highlighted element according to the dynamic display attribute data. The dynamic display attribute data represents the specific effect of dynamic display, including the frequency, amplitude, direction, speed and the like of the dynamic display. When the dynamic display is carried out, the dynamic display attribute data (the specific mode of dynamic display is determined) is obtained by calculation according to the (initial or current) biological index data of the experiencer, and then the corresponding display action is carried out based on the dynamic display attribute data.
For example, the target scene of the present application is a raindrop scene: this scene is a natural scene of rain. The background elements are sky and the like, and the salient elements are raindrops. After the experiencer enters the meditation state, the rainy scene randomly enters the raindrop hovering picture, and after the experiencer leaves the meditation state and enters the normal state, the raindrop hovering picture can be restored to the falling state.
The target scene of the application is a candle array scene: this scene is a candle array scene consisting of several candles. The background element may be a floor, a table top, etc. The salient element is candle. The candle flames with different shaking amplitudes can be triggered by different bending degrees of the brain waves of the experiencer, and the candle flames can be changed into a calm and upright state after the experiencer enters a meditation state; after leaving the meditation state, the candles will resume the rocking state.
The target scene of the application is a fish school scene: this scene is a natural scene of fish swimming. The background elements are ponds and the like, and the prominent elements are fish. Before the experiencer enters the meditation state, the fish school is in a free swimming state, after the experiencer enters the meditation state, the fish school gradually gathers in a heart, after the experiencer leaves the meditation state, the fish school gradually loosens, and the experiencer returns to the free swimming state.
The first of the present application is that the target scene includes a background element, a salient element, and an auxiliary element, and at this time, the display mode for the target scene includes: the highlighted element is statically displayed in the background element, and the auxiliary element is displayed in the background element in a preset appearing mode or a hidden mode. When the corresponding relation between the display mode and the thought state of the experiencer is specifically set, the highlighted element is statically displayed in the background element in advance, the auxiliary element is displayed in the background element in a preset display mode, and a mapping relation is established between the auxiliary element and the experiencer in a meditation state; and the highlight element is statically displayed in the background element, and the auxiliary element is displayed in the background element in a preset hidden mode and establishes a mapping relation with the non-meditation state of the experiencer. Or the pre-highlighting element is statically displayed in the background element, the auxiliary element is displayed in the background element in a preset display mode, and a mapping relation is established between the auxiliary element and the experiencer in a non-meditation state; and the highlight element is statically displayed in the background element, and the auxiliary element is displayed in the background element in a preset hidden mode to establish a mapping relation with the meditation state of the experiencer.
In order to improve the display effect, before a preset showing mode or a preset hiding mode is used, the preset parameters are determined according to the initial biological index data or the current biological index data of the experiencer, and then the preset showing mode or the preset hiding mode is generated according to the preset parameters. The preset parameters herein represent specific ways of the preset appearing or hiding ways, including the number of the protruding elements and/or the auxiliary elements, the speed, frequency, etc. of the appearing or hiding. According to the method and the device, after (initial or current) biological index data of an experiencer are obtained, preset parameters are determined based on the biological index data, and then a preset display mode or a preset hiding mode is generated according to the preset parameters.
For example, in a raindrop scene, the amount of rainfall is positively correlated with the brain activity of the experiencer, and the lower the looseness and concentration of the brain of the experiencer, the larger the amount of rainfall, and vice versa.
In a candle array scene, the shaking amplitude of the candle flame is positively correlated with the brain activity degree of an experiencer, and the lower the brain looseness and the special attention of the experiencer is, the more violent the flame shaking is, and the smaller the flame shaking is in contrast.
In a fish school scene, the swimming degree of the fish school is positively correlated with the brain activity degree of an experiencer, and the lower the brain looseness and the concentration of the experiencer, the more the fish school swims, and vice versa.
The target scene of the application is a moon space scene: this scene is a sky-moon scene with clouds in the evening. The background element is sky, the salient elements are moon and stars, and the auxiliary element is cloud. Different bending degrees of the brain waves of the experiencer can trigger the cloud layers of different levels and states to be synthesized; after the experiencer enters the meditation state, the cloud layer is gradually reduced until the cloud layer is scattered, and the moon and stars behind the cloud layer are exposed; after leaving the meditation state, the clouds resume and continue to move according to the brain waves of the experiencer. In the sky-moon scene, the cloud amount in the sky-moon is positively correlated with the brain activity of the experiencer, and the lower the looseness and the concentration of the brain of the experiencer are, the more the cloud amount is, and the smaller the cloud amount is otherwise.
The target scene of the application is a dandelion scene: this scene is generally the natural scene of the dandelion rosette. The background element is the field, the salient element is the dandelion, and the auxiliary element is the petals. After the experiencer enters the meditation state, the petals of the dandelion gradually drift with the wind, and after the experiencer leaves the meditation state, the petals gradually disappear and scatter, and the experiencer returns to a static image.
The target scene of the application is a bird group scene: this scene is the natural scene that the bird crowd flies. The background element is sky, the salient element is bird, and the auxiliary element is telegraph pole. Before the experiencer enters the meditation state, the bird group is in the state of circling flight, after the experiencer enters the meditation state, the bird group can fly to the telegraph pole, and after the experiencer leaves the meditation state, the bird group can gradually fly away from the pole head to recover the circling state. In a bird group scene, the hovering degree of the bird group is positively correlated with the brain activity degree of an experiencer, and the lower the brain looseness and the attention of the experiencer, the higher the hovering degree of the bird group is, and the smaller the hovering degree of the bird group is otherwise.
In the embodiment of the application, as an optional embodiment, after the meditation training is finished, the initial thought state and the current thought state of the experiencer are integrated, the thought change process of the experiencer in the meditation training process is shown on the graphical user interface, and the training effect of the current meditation training of the experiencer is determined; and determining a training scheme of next meditation training for the experiencer according to the training data of the current meditation training and the training data of the historical meditation training of the experiencer based on the training effect of each meditation training.
After the meditation training is completed, the user ends the experience. At this point, the graphical user interface displays a feedback page: the time length of the meditation realized by the user in the training process and the comparison result of the physiological indexes before and after the meditation are displayed in an information visualization mode, wherein the information visualization mode comprises the change of data such as relaxation degree, concentration degree, pressure level and the like. The user can click on the details button to learn more detailed indices and interpretations. And then the training effect of the meditation training of the experiencer can be determined.
When the experiencer carries out meditation training, the application also records training data of the experiencer when carrying out meditation training. The training data here characterizes the personal preferences of the experiencer when performing meditation training, including training time data, training duration data, scene selection data, etc. According to the method, the training effects of the experience person in meditation training each time are compared, a group of target training data with the best training effect is determined from the training data of historical meditation training, and then the training scheme of next meditation training is determined for the experience person based on the target training data with the best training effect.
For example, the training data of the two meditation trainings are identical except for the training time, the training time of the first meditation training is nine am to ten am, the training time of the second meditation training is three pm to four pm, and the training effect of the second meditation training is better than that of the first meditation training. Therefore, the present application performs meditation training when the recommended experiencer next selects three pm to four pm.
Fig. 3 is a schematic structural diagram of a display device provided in an embodiment of the present application, which resides in a display terminal, and the display terminal provides a graphical user interface, where the device includes:
the determination module is used for responding to the selection operation of the meditation training experiencer aiming at the training scenes and determining a target scene from a plurality of preset training scenes;
the display module is used for displaying the target scene on the graphical user interface in a display mode corresponding to the initial thought state based on the initial thought state of the experiencer; the initial thought state is determined according to initial biological index data of the experiencer;
if the initial biological index data of the experiencer changes, the graphical user interface displays the target scene in a display mode corresponding to the initial thought state, and transitions to display the target scene in a display mode corresponding to the current thought state; the current thought state is determined according to the current biological index data of the experiencer;
the contents displayed by the graphical user interface are used for the experiencers to observe so as to help the experiencers to know the current thought state of the experiencers and further complete meditation training.
The target scene comprises a background element and a salient element, and the display mode comprises the following steps:
dynamically or statically displaying the highlight element in the background element.
The dynamically displaying the salient elements comprises:
determining dynamic display attribute data according to the initial biological index data or the current biological index data;
and dynamically displaying the highlighted element according to the dynamic display attribute data.
The target scene comprises a background element, a salient element and an auxiliary element, and the display mode comprises the following steps:
the salient elements are statically displayed in the background elements, and the auxiliary elements are displayed in the background elements in a preset appearing mode or a preset hiding mode.
The preset appearing mode or hiding mode is determined by the following modes:
determining preset parameters according to initial biological index data or current biological index data of an experiencer;
and generating a preset showing mode or a preset hiding mode according to the preset parameters.
The biological indicator data includes: electroencephalogram data and heart rate variability data; determining the thought state from the biometric data includes:
according to the electroencephalogram data of the experiencer, determining the concentration degree and the initial relaxation value of the experiencer;
determining a pressure value of the experiencer according to the heart rate variability data of the experiencer;
synthesizing the initial relaxation value and the pressure value of the experiencer to obtain a target relaxation value of the experiencer;
and determining the thought state of the experiencer according to the concentration degree, the target relaxation value and a preset threshold value of the experiencer.
The device further comprises: the integration module is used for integrating the initial thought state and the current thought state of the experiencer after the meditation training is finished, displaying the thought change process of the experiencer in the meditation training process on the graphical user interface, and determining the training effect of the meditation training of the experiencer at this time; and determining a training scheme of next meditation training for the experiencer according to the training data of the current meditation training and the training data of the historical meditation training of the experiencer based on the training effect of each meditation training.
The display module is further used for enabling the graphical user interface to display the target scene in a display mode corresponding to the current thought state and to switch to display the target scene in a display mode corresponding to the new current thought state if the current biological index data of the experiencer changes; the new current mind state is determined from the new current biometric data of the experiencer.
As shown in fig. 4, an embodiment of the present application provides an electronic device for executing the display method in the present application, where the electronic device includes a memory, a processor, a bus, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the display method when executing the computer program.
Specifically, the memory and the processor may be general-purpose memory and processor, which are not limited in particular, and the display method can be performed when the processor runs a computer program stored in the memory.
Corresponding to the display method in the present application, an embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, performs the steps of the display method described above.
In particular, the storage medium can be a general-purpose storage medium, such as a removable disk, a hard disk, or the like, on which a computer program can be executed when executed to perform the above-described display method.
In the embodiments provided in the present application, it should be understood that the disclosed system and method may be implemented in other ways. The above-described system embodiments are merely illustrative, and for example, the division of the units is only one logical functional division, and there may be other divisions in actual implementation, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of systems or units through some communication interfaces, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments provided in the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined or explained in subsequent figures, and moreover, the terms "first," "second," "third," etc. are used merely to distinguish one description from another, and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present application, and are used for illustrating the technical solutions of the present application, but not limiting the same, and the scope of the present application is not limited thereto, and although the present application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope disclosed in the present application; such modifications, changes or substitutions do not depart from the spirit and scope of the present disclosure, which should be construed in light of the above teachings. Are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (11)
1. A display method is applied to a display terminal, the display terminal provides a graphical user interface, and the method comprises the following steps:
determining a target scene from a plurality of preset training scenes in response to the selection operation of the meditation training experiencer for the training scenes;
displaying the target scene on the graphical user interface in a display mode corresponding to the initial thought state based on the initial thought state of the experiencer; the initial thought state is determined according to initial biological index data of the experiencer;
if the initial biological index data of the experiencer changes, the graphical user interface displays the target scene in a display mode corresponding to the initial thought state, and transitions to display the target scene in a display mode corresponding to the current thought state; the current thought state is determined according to the current biological index data of the experiencer;
the contents displayed by the graphical user interface are used for the experiencers to observe so as to help the experiencers to know the current thought state of the experiencers and further complete meditation training.
2. The method of claim 1, wherein the target scene comprises a background element and a highlight element, and wherein the display mode comprises:
dynamically or statically displaying the highlight element in the background element.
3. The method of claim 2, wherein the dynamically displaying the highlighted element comprises:
determining dynamic display attribute data according to the initial biological index data or the current biological index data;
and dynamically displaying the highlighted element according to the dynamic display attribute data.
4. The method of claim 1, wherein the target scene comprises a background element, a salient element, and an auxiliary element, and wherein the display comprises:
the highlight element is statically displayed in the background element, and the auxiliary element is displayed in the background element in a preset appearing mode or a preset hiding mode.
5. The method according to claim 1, wherein the predetermined revealing mode or hiding mode is determined by:
determining preset parameters according to the initial biological index data or the current biological index data of the experiencer;
and generating a preset display mode or a preset hiding mode according to the preset parameters.
6. The method of claim 1, wherein the biometric data comprises: electroencephalogram data and heart rate variability data; determining the thought state from the biometric data includes:
according to the electroencephalogram data of the experiencer, determining the concentration degree and the initial relaxation value of the experiencer;
determining a pressure value of the experiencer according to the heart rate variability data of the experiencer;
synthesizing the initial relaxation value and the pressure value of the experiencer to obtain a target relaxation value of the experiencer;
and determining the thought state of the experiencer according to the concentration degree, the target relaxation value and a preset threshold value of the experiencer.
7. The method of claim 1, further comprising:
after the meditation training is finished, integrating the initial thought state and the current thought state of the experiencer, displaying the thought change process of the experiencer in the meditation training process on the graphical user interface, and determining the training effect of the current meditation training of the experiencer;
and determining a training scheme of next meditation training for the experiencer according to the training data of the current meditation training and the training data of the historical meditation training of the experiencer based on the training effect of each meditation training.
8. The method of claim 1, further comprising:
if the current biological index data of the experiencer changes, the graphical user interface displays the target scene in a display mode corresponding to the current thought state, and the display mode corresponding to the new current thought state is changed into the display mode corresponding to the new current thought state; the new current mind state is determined from the new current biometric data of the experiencer.
9. A display device residing on a display terminal, the display terminal providing a graphical user interface, the device comprising:
the determination module is used for responding to the selection operation of the meditation training experiencer aiming at the training scenes and determining a target scene from a plurality of preset training scenes;
the display module is used for displaying the target scene on the graphical user interface in a display mode corresponding to the initial thought state based on the initial thought state of the experiencer; the initial thought state is determined according to initial biological index data of the experiencer;
if the initial biological index data of the experiencer changes, the graphical user interface displays the target scene in a display mode corresponding to the initial thought state, and transitions to display the target scene in a display mode corresponding to the current thought state; the current thought state is determined according to the current biological index data of the experiencer;
wherein, the content displayed by the graphical user interface is used for the experiencer to observe so as to help the experiencer to know the current thought state of the experiencer and further complete meditation training.
10. An electronic device, comprising: a processor, a memory and a bus, the memory storing machine-readable instructions executable by the processor, the processor and the memory communicating via the bus when the electronic device is operating, the machine-readable instructions when executed by the processor performing the steps of the display method according to any one of claims 1 to 8.
11. A computer-readable storage medium, having stored thereon a computer program which, when being executed by a processor, carries out the steps of the display method according to any one of claims 1 to 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210516613.5A CN114625301A (en) | 2022-05-13 | 2022-05-13 | Display method, display device, electronic equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210516613.5A CN114625301A (en) | 2022-05-13 | 2022-05-13 | Display method, display device, electronic equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114625301A true CN114625301A (en) | 2022-06-14 |
Family
ID=81906940
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210516613.5A Pending CN114625301A (en) | 2022-05-13 | 2022-05-13 | Display method, display device, electronic equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114625301A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115373519A (en) * | 2022-10-21 | 2022-11-22 | 北京脑陆科技有限公司 | Electroencephalogram data interactive display method, device and system and computer equipment |
| CN115662575A (en) * | 2022-12-29 | 2023-01-31 | 深圳市心流科技有限公司 | Dynamic image generation and playing method based on meditation training |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108379713A (en) * | 2018-03-09 | 2018-08-10 | 嘀拍信息科技南通有限公司 | One interaction meditation system based on virtual reality |
| CN110292378A (en) * | 2019-07-02 | 2019-10-01 | 燕山大学 | Depression remote rehabilitation system based on the monitoring of E.E.G closed loop |
| CN112905015A (en) * | 2021-03-08 | 2021-06-04 | 华南理工大学 | Meditation training method based on brain-computer interface |
| CN113952580A (en) * | 2021-11-18 | 2022-01-21 | 苏州大学 | Method, device, equipment and storage medium for training of memorial meditation |
| US20220134048A1 (en) * | 2019-02-13 | 2022-05-05 | Sensei Wellness Holdings, Inc. | Systems and methods for virtual-reality enhanced quantitative meditation |
-
2022
- 2022-05-13 CN CN202210516613.5A patent/CN114625301A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108379713A (en) * | 2018-03-09 | 2018-08-10 | 嘀拍信息科技南通有限公司 | One interaction meditation system based on virtual reality |
| US20220134048A1 (en) * | 2019-02-13 | 2022-05-05 | Sensei Wellness Holdings, Inc. | Systems and methods for virtual-reality enhanced quantitative meditation |
| CN110292378A (en) * | 2019-07-02 | 2019-10-01 | 燕山大学 | Depression remote rehabilitation system based on the monitoring of E.E.G closed loop |
| CN112905015A (en) * | 2021-03-08 | 2021-06-04 | 华南理工大学 | Meditation training method based on brain-computer interface |
| CN113952580A (en) * | 2021-11-18 | 2022-01-21 | 苏州大学 | Method, device, equipment and storage medium for training of memorial meditation |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115373519A (en) * | 2022-10-21 | 2022-11-22 | 北京脑陆科技有限公司 | Electroencephalogram data interactive display method, device and system and computer equipment |
| CN115662575A (en) * | 2022-12-29 | 2023-01-31 | 深圳市心流科技有限公司 | Dynamic image generation and playing method based on meditation training |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN114625301A (en) | Display method, display device, electronic equipment and storage medium | |
| Lang | The limited capacity model of motivated mediated message processing | |
| Ooms et al. | Study of the attentive behavior of novice and expert map users using eye tracking | |
| Purcell et al. | Why do preferences differ between scene types? | |
| US9268905B2 (en) | Methods and systems for determining, monitoring, and analyzing personalized response variables using brain wave frequency data and interactive multimedia display | |
| JP7143839B2 (en) | Information processing device, information processing method, and program | |
| CN110680314B (en) | Virtual reality situation task attention training system based on brain electricity multi-parameter | |
| US10238310B2 (en) | Knowledge discovery based on brainwave response to external stimulation | |
| US20080256444A1 (en) | Internet Visualization System and Related User Interfaces | |
| Li | Data visualization as creative art practice | |
| TWI631931B (en) | Physiological information detection and recording method | |
| Louwerse et al. | Effect size matters: The role of language statistics and perceptual simulation in conceptual processing | |
| Yu et al. | A hybrid user experience evaluation method for mobile games | |
| CN104983435A (en) | Stimulus information establishing method for interest orientation value test | |
| JP2014186289A (en) | Intellectual productivity analyzer and program | |
| Magaki et al. | Developing an accessible evaluation method of VR cybersickness | |
| US11666267B2 (en) | Knowledge, interest and experience discovery by psychophysiologic response to external stimulation | |
| Hirsch et al. | My Heart Will Go On: Implicitly Increasing Social Connectedness by Visualizing Asynchronous Players’ Heartbeats in VR Games | |
| CN108693974B (en) | Data processing method, system and non-volatile computer storage medium | |
| KR20210141844A (en) | Method, apparatus and program for drawing test using digital devices | |
| Putto et al. | Effects of cartographic elevation visualizations and map-reading tasks on eye movements | |
| Thapa et al. | Using non-speech sounds to increase web image accessibility for screen-reader users | |
| Alrehiely et al. | A taxonomy for visualisations of personal physical activity data on self-tracking devices and their applications | |
| Florescu et al. | Assessing the emotional impact of cognitive affordance in the built environment through augmented reality | |
| CN111743552A (en) | Psychological measurement and intervention system and method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20220614 |
|
| RJ01 | Rejection of invention patent application after publication |