Time sequence characteristic determination method, device and equipment for psychological modeling evaluation
By obtaining and analyzing image data in the sand table creation process, extracting sand gear elements and spatial position characteristics, predicting work characteristics and recording time series data, the problem that the existing technology cannot track sand table creation process in a time series is solved, and the psychology of creators is realized Effective evaluation and diagnosis of status changes.
Patent Information
- Application Number
- CN202411468681.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-21
- Publication Date
- 2025-02-14
AI Technical Summary
The existing technology cannot conduct time-series tracking and analysis of the characteristics of the works in the sand table creation process, and cannot effectively capture the changes in the psychological state of the creator.
By obtaining sand table works image data sets at different times and angles, combining spatial position information, using neural network models to extract sand gear element characteristics and spatial position characteristics, combining these characteristics to predict work characteristics, and recording the creator's work during the creation process Timing characteristic data.
The timing tracking of the changes in the creator's psychological state is realized, and psychological shaping evaluation and diagnosis can be carried out based on the characteristic data in the creative process, improving the efficiency of mental health assessment and intervention.
Smart Images
Figure CN119441824A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of psychological shaping education technology, and in particular to a method, device and equipment for determining time series characteristics for psychological shaping assessment. Background Art
[0002] Psychological shaping education technology is to create models in a designated area through continuous and staged creation, so that the inner world is concretized and visualized, forming images and establishing connections with images, so that the unconscious content is presented concretely and vividly. According to current practical experience and research results, by introducing psychological shaping education technology to reconstruct the psychological cognition of sand play makers, it can actively change their life goal setting, cultivate and develop the universal abilities necessary for successful life in today's world, enable them to actively and constructively overcome difficulties in all areas (emotion, behavior and cognition), significantly improve the mental health of sand play makers, help sand play makers live more naturally and balanced, and promote their comprehensive and harmonious development.
[0003] In the existing technology, using the traditional sandbox operation mode created in the 1960s, sand play makers are invited to create a scene in the sandbox that can reflect their inner world. The makers can choose from a variety of miniature toys that represent different symbols and archetypes, such as people, animals, plants, buildings and mythical creatures. By creating a sandbox scene, the makers can express and process unconscious conflicts, emotions and experiences.
[0004] However, psychological shaping education technology emphasizes the concept of temporal nature of psychological intervention, and the above technology cannot conduct temporal tracking and analysis of the characteristics of works during the creative process. Summary of the invention
[0005] The embodiments of the present invention provide a method, device and equipment for determining time series characteristics for psychological shaping assessment, which can solve the problem in the prior art that the time series tracking and analysis of the characteristics of works during the creation process cannot be performed.
[0006] The embodiment of the present invention provides a method for determining time series features for psychological shaping assessment, comprising the following steps: using sand tool elements to create works in a sandbox, obtaining a first image data set of the created works at different times and angles, and a second image data set of the created works containing spatial position information; obtaining a work prediction model for predicting work features through a combination of sand tool element features and spatial position features; using the first image data set to train a first neural network model to obtain an element feature extraction model; using the second image data set to train a second neural network model to obtain a position feature extraction model; inputting the first image data set to be detected into the element feature extraction model to obtain sand tool element features; The second image data set to be detected is input into the position feature extraction model to obtain the spatial position features; the work features are obtained using the work prediction model according to the combined features of the sand tool element features and the spatial position features. When the work features do not meet the expected results, the work is re-created in the sandbox and the work features are obtained again; when a single work feature acquisition is performed and a situation that meets the expected results is produced once, the time series feature data used to reflect the creator's psychological state during the creation process of the work is recorded in chronological order; when multiple work feature acquisitions are performed and multiple situations that meet the expected results are produced, the time series feature data used to reflect the creator's psychological state during the creation process of the work is recorded in chronological order each time.
[0007] Furthermore, the obtaining of spatial position features comprises the following specific steps:
[0008] The characteristic value P of the target sand tool is obtained through the spatial two-dimensional coordinate information in the spatial position feature. n , the formula is:
[0009]
[0010] Where n is the number of the sand tool element; X n , Y n is the two-dimensional spatial coordinate of the sand tool element; X, Y are the spatial coordinates of the specified reference point;
[0011] The characteristic spatial position of each sand tool element is represented by the distance between the sand tool element as the target and the sand tool element designated as the reference, and the formula is:
[0012]
[0013]
[0014] Among them, R tm is the distance between the sand tool element as the target and the sand tool element designated as the reference, t is the sand tool element as the target, m is the sand tool element designated as the reference, (X m ,Y m) are the two-dimensional spatial coordinates of the sandplay element designated as a reference, (X t , Y t ) are the coordinates of the sandplay element as the target;
[0015] The distribution characteristic D of the sandplay element as the target n , and the formula is:
[0016] D n = (Quadrant, Region)
[0017] where Quadrant is the quadrant where the sandplay element as the target is located, and the value ranges from 1 to 4, indicating that the sandplay element as the target is in the first quadrant, the second quadrant, the third quadrant, and the fourth quadrant respectively; Region is the area where the sandplay element as the target is located. The width of the sandplay tray is lenth, and the length of the sandplay tray is width. The sandplay tray is divided into a central area Centre and a peripheral area Layer. The coordinate range of the point (X, Y) in the Centre area is: -lenth / 2 < X < lenth / 2 & -width / 2 < Y < width / 2, and the coordinate range of the point (X, Y) in the Layer area is: (X < -lenth / 2 | X > lenth / 2) & (Y < -width / 2 | Y > width / 2).
[0018] Furthermore, when the work characteristics do not meet the expected results, recreate the work in the sandplay tray and obtain the work characteristics again, which specifically includes: Through 4 to 5 cycles of creation and work characteristic acquisition, the expected results can be obtained.
[0019] The embodiment of the present invention provides a device for determining temporal characteristics for psychological shaping evaluation, including:
[0020] The creation recording module is used to create works in the sandbox using sand tool elements, obtain a first image data set of the creation works at different times and angles, and a second image data set of the creation works containing spatial position information; obtain a work prediction model for predicting the features of the work through the combined features of the sand tool element features and the spatial position features; the work feature acquisition module is used to train a first neural network model using the first image data set to obtain an element feature extraction model; train a second neural network model using the second image data to obtain a position feature extraction model; input the first image data set to be detected into the element feature extraction model to obtain the sand tool element features; input the second image data set to be detected into the position A feature extraction model is set to obtain spatial position features; the work prediction model is used to obtain the work features according to the combined features of the sand tool element features and the spatial position features. When the work features do not meet the expected results, the work is re-created in the sandbox and the work features are obtained again; a time series feature data recording module is used to record the time series feature data used by the creator to reflect the psychological state in the process of creating the work in chronological order when a single work feature acquisition is performed and a situation that meets the expected results is produced once; when multiple work feature acquisitions are performed and multiple situations that meet the expected results are produced, the time series feature data used by the creator to reflect the psychological state in the process of creating the work is recorded in chronological order each time.
[0021] An embodiment of the present invention provides a computer device, comprising: a memory and a processor; the memory stores a computer program, and the processor implements the above-mentioned method for determining time series characteristics for psychological shaping assessment when executing the computer program.
[0022] The embodiment of the present invention provides a method, device and apparatus for determining time series characteristics for psychological shaping assessment. Compared with the prior art, the beneficial effects thereof are as follows:
[0023] The first image data set records the works created at different times and angles, and the second image data set records the spatial location information of the works. The two data sets are recorded in the entire creation process of the works. The two data sets are respectively input into the element feature extraction model and the position feature extraction model to obtain the element features and spatial location features of the sand tools. Then, the element features of the sand tools and the spatial location features are combined to obtain the combined features, which are input into the work prediction model to obtain the work features. When the work features do not meet the expected results, the work is recreated in the sandbox and the work features are acquired again; when a single work feature acquisition is performed and a situation that meets the expected results is generated once, the temporal feature data used by the creator to reflect the psychological state in the process of creating the work is recorded in chronological order; when multiple work feature acquisitions are performed and multiple situations that meet the expected results are generated, the temporal feature data used by the creator to reflect the psychological state in the process of creating the work is recorded in chronological order each time. Finally, the creation process of the entire work is clearly recorded in chronological order, so as to conduct a temporal tracking analysis of the work features of the created works. BRIEF DESCRIPTION OF THE DRAWINGS
[0024] Figure 1 A psychological shaping operation collection box provided in an embodiment of the present invention;
[0025] Figure 2 An operation flow chart of a psychological shaping operation collection box provided in an embodiment of the present invention;
[0026] Figure 3 A schematic diagram of image acquisition and processing of a convolutional neural network (CNN) provided in an embodiment of the present invention;
[0027] Figure 4 This is a structural diagram of the psychological shaping operation tool provided in an embodiment of the present invention. DETAILED DESCRIPTION
[0028] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below in conjunction with the accompanying drawings. In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention can be implemented in many other ways different from those described herein, and those skilled in the art can make similar improvements without violating the connotation of the present invention, so the present invention is not limited by the specific embodiments disclosed below.
[0029] In order to construct an operating environment and recording system that conforms to the technical characteristics of psychological shaping education, the present invention provides a psychological shaping operation tool that can record in real time and systematically review the psychological changes of sand game makers. The tool consists of six parts: an operation collection box skeleton body, a side full-process recording block, a mobile real-time image collection block, a top global image collection block, an image processing and analysis block, and a human-computer interaction and storage block.
[0030] The operation collection box skeleton body is used to provide a creative environment for sand game makers and generate image data sources.
[0031] The side full-process recording module is used to record the entire process of the sand game maker's creation and generate archive data.
[0032] The mobile real-time image acquisition module is used for the operator to independently capture images of the sand play maker's works at a specified time and angle and generate image data.
[0033] The top global image acquisition block is used to collect the spatial feature information of the sand game maker's works and generate image data.
[0034] The image processing and analysis module is used to extract image data features, perform item recognition based on the pre-trained neural network model, generate work labels and spatial location data information, and obtain corresponding temporal characteristics and psychological states.
[0035] The human-computer interaction and storage module is used by the operator to set up the image processing and analysis module and export data.
[0036] The following is a detailed introduction to how to use this tool.
[0037] See also Figure 1 to Figure 4 The embodiment of the present invention provides a method for determining time series characteristics for psychological shaping assessment, comprising the following steps:
[0038] Step 1: Use sand tool elements to create works in a sandbox, obtain a first image dataset of the works at different times and angles, and a second image dataset of the works containing spatial position information; obtain a work prediction model for predicting work features through a combination of sand tool element features and spatial position features.
[0039] Step 2: Use the first image data set to train the first neural network model to obtain an element feature extraction model; use the second image data to train the second neural network model to obtain a position feature extraction model; input the first image data set to be detected into the element feature extraction model to obtain the element features of the sand tool; input the second image data set to be detected into the position feature extraction model to obtain the spatial position features.
[0040] Step 3: Based on the combined features of the sand tool element features and the spatial position features, use the work prediction model to obtain the work features. When the work features do not meet the expected results, recreate the work in the sandbox and obtain the work features again.
[0041] Step 4: When a single work feature acquisition is performed and the expected result is produced once, the temporal feature data used by the creator to reflect the psychological state during the creation of the work is recorded in chronological order. When multiple work feature acquisitions are performed and the expected results are produced multiple times, the temporal feature data used by the creator to reflect the psychological state during the creation of the work is recorded in chronological order each time.
[0042] Specifically, it can be divided into the following situations:
[0043] In a single mental shaping operation:
[0044] 1. During operation, the operator first turns on the image acquisition module and the image processor host, and arranges the operating environment, which is generally composed of a blue background and fine sand.
[0045] 2. After opening the full-process recording block, invite the sand game maker to start model creation.
[0046] 3. The entire creative process of the sand game maker’s work is recorded, including the categories, spatial locations, and sequential order of the elements used in some preferred examples.
[0047] 4. After the first creation is completed, the operator collects images of the initial creation by moving the real-time image acquisition block and the top global image acquisition block.
[0048] 5. After the image acquisition is completed, the image data will be transmitted to the image processing and analysis module via the wireless local area network (WLAN).
[0049] 6. The image processing and analysis module first collects and extracts image features through a pre-trained neural network model to generate work element information, including element labels and spatial two-dimensional coordinate information in some preferred examples.
[0050] 7. The image processing and analysis module uses a pre-trained prediction model to analyze the elements of the work and obtain the characteristics and psychological state of the work.
[0051] 8. The human-computer interaction and storage block will store the image processing and analysis block results in the local memory.
[0052] 9. After the operator evaluates the initial work of the sand play maker and conducts psychological shaping intervention, the sand play maker is invited to create the model again. Specifically, if the evaluation results do not meet the expected results after the evaluation, psychological shaping intervention is carried out. The intervention process uses psychological induction to deeply balance the subconscious content, and the work is recreated after the intervention.
[0053] 10. After multiple cycles of steps 3-8, the operator evaluates the sand play maker and completes the sand play maker operation collection after it is considered that the psychological shaping expectations have been met. In some preferred examples, the number of cycles is 4-5 times.
[0054] 11. The image data will be transmitted to the image processing and analysis module via wireless local area network (WLAN).
[0055] 12. The image processing and analysis module first collects and extracts image features through a pre-trained neural network model to generate work element information, including element labels and spatial two-dimensional coordinate information in some preferred examples.
[0056] 13. In some preferred examples, the spatial feature information is represented as:
[0057]
[0058] Among them, P n is the characteristic value of the target sand tool, (X n , Y n ) is the two-dimensional coordinate of the target sand tool space, and (X, Y, Z) is the spatial coordinate of the specified reference point.
[0059] 14. The image processing and analysis module uses a pre-trained prediction model to analyze the elements of the work and obtain the characteristics and psychological state of the work.
[0060] 15. The image processing and analysis module generates time series feature data by traversing the work characteristics and psychological state result data of the sand game maker.
[0061] 16. The human-computer interaction and storage block will store the image processing and analysis block results in the local memory and transmit them to the human-computer interaction interface receiving end.
[0062] 17. The operator uses the drawer structure to open the human-computer interaction and storage block to view the creative analysis results and time tracking results of the sand travel maker, and review and record the visit.
[0063] 18. The operator exports the source data through the USB interface of the human-computer interaction and storage module.
[0064] In multiple psychological shaping operations:
[0065] 19. Repeat steps 1-14 above.
[0066] 20. The image processing and analysis block generates time series feature data by traversing the features of the works and the psychological state result data of the sand game maker at different stages of the visit. In some preferred examples, the image processing and analysis block extracts the final works of a single visit for comparative analysis.
[0067] 21. The human-computer interaction and storage block will store the image processing and analysis block results in the local memory and transmit them to the human-computer interaction interface receiving end.
[0068] 22. The operator uses the drawer structure to open the human-computer interaction and storage block to view the sand game maker's previous creative analysis results and time tracking results, and review and record this visit.
[0069] 23. The operator exports the source data through the USB interface of the human-computer interaction and storage module.
[0070] The technology of the present invention can effectively promote the psychological shaping and adjustment of sand play makers, track the changes in the psychological state of sand play makers in time, and reduce the difficulty of use for operators, thereby improving the system management efficiency of mental health assessment, diagnosis, intervention, early warning and psychological shaping, maximizing the solution to the psychological distress of sand play makers, effectively preventing the occurrence of mental illness, and safeguarding the mental health of the people.
[0071] The technology of the present invention can effectively help mental health workers to review and track and record the model creation works of sand game makers throughout the process, so that the inner world of sand game makers can be concretized and visualized, form images, and establish connections with the images, so that the unconscious content can be presented in a concrete and vivid way. It can significantly adjust and improve the psychological cognitive schema of sand game makers, reshape the positive life goals and development orientation of sand game makers, and help sand game makers live a more natural and balanced life.
[0072] The embodiment of the present invention provides a time series feature determination device for psychological shaping assessment, comprising:
[0073] The creation record module is used to create works in the sandbox using sand tool elements, obtain the first image data set of the creation works at different times and angles, and the second image data set of the creation works containing spatial position information; obtain the work prediction model for predicting the work features through the combination of sand tool element features and spatial position features. The work feature acquisition module is used to train the first neural network model with the first image data set to obtain the element feature extraction model; train the second neural network model with the second image data to obtain the position feature extraction model; input the first image data set to be detected into the element feature extraction model to obtain the sand tool element features; input the second image data set to be detected into the position feature extraction model to obtain the spatial position features; according to the combination of sand tool element features and spatial position features, use the work prediction model to obtain the work features, and when the work features do not meet the expected results, re-create the work in the sandbox and obtain the work features again. The time series feature data recording module is used to record the time series feature data used to reflect the creator's psychological state in the process of creating the work in chronological order when a single work feature acquisition is performed and a situation that meets the expected results is produced once; when multiple work feature acquisitions are performed and multiple situations that meet the expected results are produced, the time series feature data used to reflect the creator's psychological state in the process of creating the work are recorded in chronological order each time.
[0074] An embodiment of the present invention provides a computer device, comprising: a memory and a processor; the memory stores a computer program, and when the processor executes the computer program, it implements the steps of a method for determining time series characteristics for psychological shaping assessment.
[0075] A specific embodiment is as follows:
[0076] The technology of the present invention can be used for the mental health assessment, diagnosis, intervention, early warning and psychological shaping of children and adults. At the same time, the technology of the present invention can be used to help sand game makers effectively navigate life planning and achieve life goals. The implementation methods of the technology of the present invention can be divided into individual and group psychological education models.
[0077] Implementation example 1: Individual psychological shaping diagnosis analysis and counseling.
[0078] The technology of the present invention is applied to the implementation process of individual psychological shaping diagnosis analysis and counseling, and it very clearly reviews the sand table works of the sand play makers (middle school students), and better helps the sand play makers return to "that moment", deeply experience the feelings and touches in the depths of their hearts, clarify their own psychological troubles, and thus reshape their own psychological cognitive schemas, and find solutions to their problems. In short, the technology of the present invention is applied to the implementation of individual psychological shaping diagnosis analysis and counseling with excellent results.
[0079] Implementation example 2: Group psychological shaping diagnosis analysis and counseling.
[0080] The technology of the present invention is applied to the implementation process of group psychological shaping diagnosis analysis and counseling, and the sand table works of the training team (college students) are reviewed very clearly, which helps college students to have a deep understanding of their position, responsibilities and self-expression in the team, so as to reshape their own psychological cognitive schema, find effective ways to solve problems, and promote the cohesion and cooperation level of the team. In short, the technology of the present invention is applied to the diagnosis analysis and counseling of group psychological shaping, and the implementation effect is very good.
[0081] The above-mentioned embodiments only express several implementation methods of the present invention, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.
Claims
1. A method for determining time series characteristics for psychological shaping assessment, characterized in that: Including the following steps: Using sandplay elements to create works in the sandplay tray, obtaining a first image dataset of the created works at different times and from different angles, and a second image dataset of the created works containing spatial position information; obtaining a work prediction model for predicting work characteristics through the combined characteristics of sandplay element characteristics and spatial position characteristics; Training a first neural network model with the first image dataset to obtain an element feature extraction model; training a second neural network model with the second image data to obtain a position feature extraction model; inputting the first image dataset to be detected into the element feature extraction model to obtain sandplay element characteristics; inputting the second image dataset to be detected into the position feature extraction model to obtain spatial position characteristics; According to the combined characteristics of sandplay element characteristics and spatial position characteristics, using the work prediction model to obtain work characteristics. When the work characteristics do not meet the expected results, re-create the work in the sandplay tray and obtain the work characteristics again; When performing a single work characteristic acquisition and there is a situation where the expected results are met once, record the sequential characteristic data used to reflect the mental state of the creator during the process of creating the work in chronological order; When performing multiple work characteristic acquisitions and there are multiple situations where the expected results are met, record the sequential characteristic data used to reflect the mental state of the creator during the process of creating the work each time in chronological order.
2. A method for determining time series characteristics for psychological shaping assessment as claimed in claim 1, characterized in that: The obtaining of the spatial position characteristics specifically includes the following steps: The characteristic value P of the target sand tool is obtained through the spatial two-dimensional coordinate information in the spatial position feature. n , the formula is: Where n is the number of the sand tool element; X n , Y n is the two-dimensional spatial coordinate of the sand tool element; X, Y are the spatial coordinates of the specified reference point; The characteristic spatial position of each sandplay element is represented by the distance between the sandplay element as the target and the sandplay element designated as the reference. The formula is: Among them, R tm is the distance between the sand tool element as the target and the sand tool element designated as the reference, t is the sand tool element as the target, m is the sand tool element designated as the reference, (X m ,Y m ) is the spatial two-dimensional coordinate of the sand tool element designated as the reference, (X t , Y t ) are the coordinates of the target sand tool element; Distribution characteristics of sand tool elements as targets D n , the formula is: D n =(Quadrant,Region) where Quadrant is the quadrant where the sandplay element as the target is located, and the value ranges from 1 to 4, representing that the sandplay element as the target is in the first quadrant, the second quadrant, the third quadrant, and the fourth quadrant respectively; Region is the area where the sandplay element as the target is located. The width of the sandplay tray is lenth, and the length of the sandplay tray is width. The sandplay tray is divided into the central area Centre and the edge area Layer. The coordinate range of the point (X, Y) in the Centre area is: -lenth / 2 < X < lenth / 2 & -width / 2 < Y < width / 2, and the coordinate range of the point (X, Y) in the Layer area is: (X < -lenth / 2 | X > lenth / 2) & (Y < -width / 2 | Y > width / 2).
3. A method for determining time series characteristics for psychological shaping assessment according to claim 1, characterized in that: When the work characteristics do not meet the expected results, re-creating the work in the sandplay tray and obtaining the work characteristics again specifically includes: through 4 to 5 cycles of creation and work characteristic acquisition, the expected results can be obtained.
4. A device for determining time series characteristics for psychological shaping assessment, characterized in that: Including: A creation recording module for using sandplay elements to create works in the sandplay tray, obtaining a first image dataset of the created works at different times and from different angles, and a second image dataset of the created works containing spatial position information; obtaining a work prediction model for predicting work characteristics through the combined characteristics of sandplay element characteristics and spatial position characteristics; The work feature acquisition module is used to train the first neural network model with the first image data set to obtain the element feature extraction model; train the second neural network model with the second image data to obtain the position feature extraction model; input the first image data set to be detected into the element feature extraction model to obtain the element feature of the sand tool; input the second image data set to be detected into the position feature extraction model to obtain the spatial position feature; According to the combined features of the sand tool element features and the spatial position features, the work features are obtained using the work prediction model. When the work features do not meet the expected results, the work is recreated in the sandbox and the work features are obtained again. A time series feature data recording module is used to record the time series feature data used to reflect the creator's psychological state during the creation of the work in chronological order when a single work feature acquisition is performed and a situation that meets the expected results is produced; When multiple work feature acquisitions are performed and multiple situations that meet the expected results are produced, the temporal feature data used to reflect the creator's psychological state during the creation process are recorded in chronological order.
5. A computer device comprising: Memory and processor; The memory stores a computer program, wherein the processor implements a method for determining time series characteristics for psychological shaping assessment as described in any one of claims 1 to 3 when executing the computer program.