Emotion training device for psychological counseling

Abstract

The invention relates to the field of psychological counseling, and particularly discloses an emotion training device for psychological counseling, comprising: a sand painting table main body for providing a sand painting creation plane; the image acquisition module is arranged above the sand painting table and is used for capturing facial expression data of a user in real time; the emotion analysis module is in signal connection with the image acquisition module and is internally provided with an expression recognition algorithm and an emotion classification database; the projection display system comprises a projector and an optical adjusting assembly which are connected with the emotion analysis module; through cooperative work of the image acquisition module, the emotion analysis module and the emotion-color mapping module and the dynamic pattern generation module in the central control unit, emotion training in psychological counseling is more targeted and effective; the image acquisition module captures facial expression data of a user in real time, and the emotion analysis module accurately judges the current emotion type of the user by using an expression recognition algorithm and an emotion classification database.

Description

TECHNICAL FIELD

[0001] The present application belongs to the field of psychological counseling, and in particular relates to an emotion training device for psychological counseling. BACKGROUND

[0002] In the field of psychological counseling, the traditional counseling method mainly relies on face-to-face language communication between the counselor and the patient. The counselor understands the patient's psychological state and emotional problems by listening to the patient's confession, observing the patient's body language and expression changes, and gives corresponding guidance and intervention. However, this method has certain limitations. On the one hand, some patients may be shy, nervous or have limited expression ability, making it difficult for them to accurately and completely describe their inner feelings with language, which makes it difficult for the counselor to fully and deeply understand the patient's situation; on the other hand, it is sometimes difficult to accurately capture the subtle and complex emotional changes in the patient's heart through external observation, especially when it comes to some emotional problems at the subconscious level, the traditional counseling method often fails to touch.

[0003] With the rise of art therapy, introducing art forms into psychological counseling has become a new trend. Sandplay, as a unique form of artistic expression, has gradually been applied in psychological counseling due to its freedom, agility and creativity. During the sandplay creation process, patients can create various scenes by shaping the sand with their hands, and express their inner feelings, thoughts and experiences in a visual form. This non-verbal expression method provides a safe and free outlet for patients to explore their inner world and release their suppressed emotions.

[0004] Currently, although there have been some researches and practices on applying sandplay to psychological counseling, most of them simply use sandplay as a creation tool, and lack real-time monitoring and analysis of the emotional state of patients during the sandplay creation process. The emotions of patients change constantly during the creation of sandplay, but without effective emotional monitoring means, the counselor cannot understand the emotional fluctuations of the patient in time, and it is difficult to give targeted guidance and feedback according to the real-time emotions of the patient, thereby limiting the effectiveness of sandplay in psychological counseling. SUMMARY

[0005] In order to solve the above technical problems, the present application provides an emotion training device for psychological counseling to solve the problem that the application of sandplay in psychological counseling lacks real-time monitoring and analysis of the emotional state of patients during the creation process, which makes it difficult for the counselor to give targeted guidance and feedback according to the real-time emotions of the patient, thereby limiting the effectiveness of sandplay in psychological counseling.

[0006] An emotion training device for psychological counseling, comprising:

[0007] The sand drawing table body is used for providing a sand drawing creation plane.

[0008] The image acquisition module is arranged above the sand drawing table and is used for capturing facial expression data of a user in real time.

[0009] The emotion analysis module is in signal connection with the image acquisition module, and is internally provided with an expression recognition algorithm and an emotion classification database.

[0010] The projection display system comprises a projector and an optical adjustment assembly connected with the emotion analysis module.

[0011] The central control unit is integrated with:

[0012] The emotion-color mapping module stores color schemes corresponding to different emotion types.

[0013] The dynamic pattern generation module calls a preset background template according to an emotion analysis result.

[0014] The power supply module and the human-computer interaction interface.

[0015] Preferably, the image acquisition module comprises:

[0016] The high-definition camera has a frame rate of not less than 30 fps.

[0017] The infrared light supplement unit;

[0018] The facial feature point positioning submodule.

[0019] Preferably, the emotion analysis module comprises:

[0020] The micro-expression recognition unit is used for capturing expression changes with a duration of ≤500 ms.

[0021] The emotion intensity quantification unit;

[0022] The multi-modal data fusion unit can access a heart rate, a skin electricity and other bioelectric signal sensors.

[0023] Preferably, the projection display system has:

[0024] The adaptive focal length adjustment function has a projection precision of ≥1080p.

[0025] The color dynamic response system can match a PANTONE emotion color library in real time.

[0026] The edge fusion technology ensures that a projected pattern is accurately matched with a sand drawing table boundary.

[0027] Preferably, the emotion-color mapping module comprises:

[0028] A basic color emotion corresponding relationship database;

[0029] a personalized learning unit, capable of recording user historical emotion-color preference association data;

[0030] a cultural difference correction factor.

[0031] Preferably, it also includes:

[0032] a sand thickness detection sensor, embedded in the lower layer of the transparent substrate of the sand table;

[0033] a tactile feedback unit, including an array of vibration motors;

[0034] a three-dimensional audio system, capable of playing environmental sound effects matching the emotional state.

[0035] Preferably, the central control unit is used to realize:

[0036] real-time adjustment of color saturation and brightness of the projection content according to emotional changes;

[0037] automatic triggering of positive emotional intervention programs when persistent negative emotions are detected;

[0038] generating an emotion change curve graph containing a timestamp.

[0039] An emotional training method for the above-mentioned device, comprising the following steps:

[0040] S1, establishing a user baseline emotion model;

[0041] S2, real-time collection and analysis of facial micro-expression data;

[0042] S3, emotion classification through support vector machine algorithm;

[0043] S4, calling corresponding color projection programs;

[0044] S5, recording emotion-color interaction data and generating an evaluation report.

[0045] Compared with the prior art, the present application has the following beneficial effects:

[0046] Through the cooperative work of the image acquisition module, the emotion analysis module, and the emotion-color mapping module and the dynamic pattern generation module in the central control unit, the emotional training in psychological counseling is more targeted and effective; the image acquisition module captures user facial expression data in real time, the emotion analysis module accurately determines the current emotional type of the user using expression recognition algorithms and emotion classification databases, and the central control unit calls corresponding color programs through the emotion-color mapping module according to the emotion analysis results, and the dynamic pattern generation module calls the preset background template, combines emotions with color and pattern feedback, and enhances the effect of emotional training.

[0047] The sand drawing table main body is designed reasonably and humanly, so that the user obtains a more comfortable and high-quality creation experience. The sand drawing table main body frame adopts a wooden structure, and has stability and aesthetic appearance; the creation table top is made of anti-glare tempered glass, so as to reduce light reflection interference and ensure creation clarity; flexible silica gel is arranged at the edge, so as to prevent collision and injury and improve overall texture; the bottom support is an electric lifting frame, so as to facilitate users of different heights to adjust the appropriate creation height; and various interfaces are reserved, so as to support external device expansion and meet diversified use requirements.

[0048] The projection display system and the man-machine interaction interface are arranged, so that the operation of the device is more convenient and interactive. The projection display system includes a projector and an optical adjustment assembly, can clearly and accurately project the processed image information to the sand drawing table or other specified area, and the optical adjustment assembly can also adjust the projection parameters to ensure the projection effect. The man-machine interaction interface facilitates the user to interact with the device, such as setting parameters and selecting modes, improves the interaction experience between the user and the device, and makes the psychological consultation process more smooth. BRIEF DESCRIPTION OF DRAWINGS

[0049] Figure 1 It is a framework diagram of the emotion training device of the present application.

[0050] Figure 2 It is a flowchart of the emotion training method of the present application. DETAILED DESCRIPTION

[0051] The technical solutions in the embodiments of the present application will be described clearly and completely in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0052] As shown in Figure 1 and Figure 2 :

[0053] Embodiment one: the present application provides an emotion training device for psychological consultation, comprising:

[0054] A sand drawing table main body is used to provide a sand drawing creation plane.

[0055] The sand drawing table main body frame adopts a wooden structure, which has good stability and certain aesthetics, and can provide a comfortable creation environment for the user. The creation table top adopts anti-glare tempered glass, which can effectively reduce the interference of light reflection on the user's vision and ensure the clarity of sand drawing creation. The edge is provided with a flexible silica gel edge, which not only can prevent the user from being accidentally injured during the creation process, but also can improve the overall texture of the device. The bottom support adopts an electric lifting frame for lifting, which is convenient for users of different heights to adjust to the appropriate creation height. The USB3.0, HDMI and 12VDC power interfaces are reserved, supporting external device expansion, such as connecting external storage devices to save sand drawing works, or connecting large screen displays for work display, etc.

[0056] The image acquisition module is arranged above the sand drawing table and is used for capturing facial expression data of the user in real time.

[0057] After debugging, the image acquisition module needs to be able to capture the facial expression changes of the user comprehensively and clearly.

[0058] The emotion analysis module is in signal connection with the image acquisition module and is internally provided with an expression recognition algorithm and an emotion classification database.

[0059] The expression recognition algorithm can perform deep analysis on the collected facial expression data, extract key features, and then compare them with the data in the emotion classification database, so as to accurately determine the current emotion type of the user.

[0060] Suppose the facial expression data feature vector collected is X=(x1, x2, …, x n ), the standard emotion feature vector stored in the emotion classification database is Y i =(y i1 ,y i2 ,…,y in )(i=1,2,…,m, m is the number of emotion types in the emotion classification database), and the similarity between the feature vectors is calculated When S(X, Y k )=max{S(X, Y i )|i=1,2,…,m}, it is determined that the current emotion type of the user is the kth emotion.

[0061] The projection display system includes a projector and an optical adjustment assembly connected with the emotion analysis module.

[0062] The projector is responsible for projecting the processed image information to the sand drawing table, and the optical adjustment assembly is used to adjust the focal length, brightness, color and other parameters of the projection, to ensure that the projection effect is clear and accurate.

[0063] The projector can also project the processed image information to other designated areas.

[0064] The central control unit is integrated with:

[0065] The emotion-color mapping module stores color schemes corresponding to different emotion types.

[0066] This provides a data basis for subsequent adjustment of colors according to emotions.

[0067] The dynamic pattern generation module calls preset background templates according to emotion analysis results.

[0068] When the user's emotional state is analyzed, this module can quickly select a matching background pattern from the preset background template library, enhancing the relevance and interest of emotional training.

[0069] The power supply module provides stable power support for all components of the device, ensuring normal operation of the device.

[0070] The human-computer interaction interface facilitates user interaction with the device, such as setting parameters and selecting modes.

[0071] As can be seen from the above, the device provides a novel and effective auxiliary means for psychological counseling through the combination of sand drawing creation and emotion monitoring and color feedback.

[0072] Embodiment Two: This embodiment is basically the same as the previous embodiment, except that the image acquisition module includes:

[0073] The high-definition camera has a frame rate of no less than 30fps, ensuring smooth and clear facial expression images, avoiding issues such as frame freezing and blurring due to low frame rate, and thus more accurately capturing subtle changes in user expressions.

[0074] The infrared light supplement unit automatically turns on in low-light environments to provide auxiliary lighting for the camera, ensuring that facial expression data collection is not affected by environmental light, improving accuracy and stability.

[0075] The facial feature point positioning sub-module uses advanced algorithms to locate feature points in the collected facial images, accurately identifying key facial features such as eye, eyebrow, and mouth positions and shape changes, providing more detailed and accurate data support for subsequent emotion analysis.

[0076] Assuming the center coordinates of the eyes in the facial image are (x eye ,y eye ), the eyebrow endpoint coordinates are (x brow1 ,y brow1 ) and (x brou2 ,ybrou2 ), the mouth key point coordinate set is M = {(x mouth1 ,y mouth1 ), (x mouth2 ,y mouth2 ), …, (x mouthp ,y mouthp )} (p is the number of mouth key points), and the coordinate data will be used for subsequent emotional feature analysis.

[0077] Specifically, the emotion analysis module includes:

[0078] A micro-expression recognition unit is configured to capture expression changes with a duration of ≤500 ms. Micro-expression is the instantaneous expression of the user's true emotions, and the unit can accurately identify these micro-expressions, thereby more deeply understanding the user's true emotional state.

[0079] An emotional intensity quantification unit is configured to not only classify the emotional type, but also quantitatively evaluate the intensity of the emotion. The anger emotion is divided into mild, moderate, and severe.

[0080] Suppose that the intensity value of the anger emotion is I obtained through a certain emotional intensity evaluation algorithm, and the mild anger intensity threshold is I1 and the moderate anger intensity threshold is I2 (I1 < I2). When 0 ≤ I < I1, it is determined as mild anger; when I1 ≤ I < I2, it is determined as moderate anger; and when I ≥ I2, it is determined as severe anger.

[0081] Through quantitative analysis, the degree of change of the user's emotion can be more accurately grasped, thereby providing more targeted basis for subsequent emotional regulation.

[0082] A multi-modal data fusion unit is configured to access heart rate, skin electricity, and other bioelectric signal sensors. The heart rate, skin electricity, and other bioelectric signals of the human body can also reflect the emotional state. The unit fuses and analyzes multiple modal data, can more comprehensively and accurately judge the user's emotion, and improves the reliability of the emotion analysis.

[0083] Specifically, the projection display system has:

[0084] An adaptive focal length adjustment function, the projection accuracy is ≥1080p, which can automatically adjust the focal length according to the projection distance and the size of the projection surface, ensure that the projection image is always clear and sharp, and provide high-quality visual experience for the user.

[0085] A color dynamic response system that can match the PANTONE emotional color library in real time.

[0086] Among them, PANTONE color library is an international standard color, the system can accurately select the corresponding color from the color library according to the emotional analysis result, and adjust the color parameters of the projection in real time, so that the color feedback is more accurate and professional.

[0087] Edge fusion technology ensures that the projection pattern is accurately matched with the boundary of the sand painting table.

[0088] Among them, when multiple projectors are spliced to project, the edge fusion technology can effectively eliminate the splicing gap and color difference between the projection pictures, so that the whole projection picture forms a complete and unified visual effect, and perfectly integrates with the sand painting table.

[0089] Specifically, the emotion-color mapping module includes:

[0090] The basic color emotion corresponding relationship library stores the basic corresponding relationship between common emotion types and colors, providing a basic framework for color feedback.

[0091] The personalized learning unit can record the historical emotion-color preference association data of the user. Different users may have individual differences in the association between color and emotion. This unit gradually learns and adapts to the personalized preferences of the user by recording historical data during use, and provides color feedback that is more in line with the user's own cognition.

[0092] Suppose the user uses the device for the tth time, and selects color C j for emotion type E tj After N times of use, the frequency of the user selecting various colors for each emotion type is counted (where n(C i ,E j ) represents the number of times of selecting color C j under emotion type E i ), and the color feedback that is more in line with the user's preferences is recommended according to the frequency.

[0093] Culture difference correction factor; this device takes into account that the emotional meaning represented by color may be different under different cultural backgrounds. This correction factor can adjust the corresponding relationship between color and emotion according to the user's cultural background information, to ensure that the color feedback can accurately convey the corresponding emotional information in different cultural environments.

[0094] Suppose that under different cultural backgrounds, the correction coefficient of a certain color C for emotion E is k CE , and the corrected color-emotion corresponding relationship is C new =k CE C old (C old is the uncorrected color parameter);

[0095] Specifically, it also includes:

[0096] A sand thickness detection sensor is buried in the lower layer of the transparent base plate of the sand drawing table.

[0097] During the sand drawing creation process, the thickness change of the sand particles may also be related to the emotional state of the user. The sensor can detect the thickness of the sand particles in real time and transmit the data to the central control unit, providing more reference information for emotional analysis.

[0098] A tactile feedback unit includes an array of vibration motors.

[0099] When a specific emotion of the user is detected, the tactile feedback unit can generate vibrations of different intensities and frequencies through the array of vibration motors, giving the user tactile stimulation and feedback, enhancing the immersion and experience of emotional training.

[0100] A three-dimensional audio system can play environmental sound effects that match the emotional state.

[0101] Different emotional states are suitable for different environmental sound effects, such as playing soft natural sound effects when the user is in a calm emotional state, and playing fast-paced music when the user is in an excited emotional state. The three-dimensional audio system can create a more realistic auditory environment, further guiding the user into the corresponding emotional state.

[0102] Specifically, the central control unit is used to implement:

[0103] Adjusting the color saturation and brightness of the projection content in real time according to the emotional changes; by dynamically adjusting the saturation and brightness of the color, the changes in the user's emotions can be more vividly reflected, allowing the user to have a more intuitive visual experience.

[0104] When a persistent negative emotion is detected, automatically trigger a positive emotional intervention plan; play positive videos, music, or display some images that can trigger positive emotions, etc., to help the user relieve negative emotions and adjust their mindset.

[0105] Generate an emotional change curve graph containing a timestamp. The curve graph can record the emotional changes of the user during the entire emotional training process, providing detailed data analysis basis for therapists to more accurately assess the treatment effect and adjust the treatment plan.

[0106] As can be seen from the above, the embodiment further optimizes and supplements each module based on the first embodiment, improving the emotional monitoring accuracy, the degree of individualization of color feedback, and the effect of emotional training of the device.

[0107] Embodiment Three: This embodiment is basically the same as the previous embodiment, the difference is that an emotional training method based on the above device includes the following steps:

[0108] S1, establish a user baseline emotion model. When the user first uses the device, guide the user to perform a series of basic emotion expression activities, such as watching video clips of different emotion types, recalling specific emotional experiences, etc. At the same time, through multi-modal data acquisition devices such as image acquisition modules, bioelectric signal sensors, etc., real-time collection of facial expressions, heart rate, skin electricity, etc. of the user in these activities. The data is transmitted to the emotion analysis module for analysis and processing, combined with the user's self-report and subjective feelings, to establish the user's baseline emotion model. This model serves as a reference standard for subsequent emotion analysis, allowing more accurate judgment of the user's emotional changes in different situations;

[0109] S2, real-time collection and analysis of facial micro-expression data. During the user's sand painting creation or other emotional training activities, the image acquisition module continuously collects facial expression data in real time, especially focusing on capturing changes in micro-expressions. The facial feature point positioning sub-module accurately locates the feature points of the collected images, extracting key expression feature information. The micro-expression recognition unit analyzes these feature information to identify the user's instantaneous true emotions, and transmits the data to the emotion analysis module for further processing;

[0110] S3, emotion classification through support vector machine algorithm. After receiving the micro-expression data and other multi-modal data, the emotion analysis module uses the support vector machine algorithm to comprehensively analyze these data. Through training on a large number of known emotion types, this algorithm can establish an accurate emotion classification model to classify the user's real-time emotion data and determine the user's current emotional state, such as anger, sadness, happiness, calm, etc.

[0111] S4, call the corresponding color projection scheme. The emotion-color mapping module of the central control unit selects the corresponding color projection scheme from the stored color schemes according to the emotion classification result obtained by the emotion analysis module. At the same time, considering the historical preference data recorded by the user's personalized learning unit and the cultural difference correction factor, the color scheme is adjusted appropriately to ensure that the projected color can accurately and effectively convey the corresponding emotional information and be consistent with the user's cognition and cultural background. The dynamic pattern generation module calls the preset background template according to the emotion analysis result, combines it with the color projection scheme, and projects the adjusted image to the sand painting table or other designated area through the projection display system, providing intuitive visual feedback for the user;

[0112] S5, record mood-color interaction data and generate evaluation report, in the whole mood training process, the central control unit records the mood change data of the user, the color feedback data and the interaction data of the user and the device, such as operation record, feedback response time, etc. After the training, these data are sorted and analyzed, and a detailed evaluation report is generated by using data analysis algorithm. The evaluation report includes the mood change curve of the user in the whole training process, the emotion classification statistics, the color feedback effect evaluation and the comprehensive training effect evaluation, etc.

[0113] Assuming that the mood change curve records the mood intensity I(t i )(i=1,2,…,T), the number of each emotion type in the emotion classification statistics is n(E j )(j=1,2,…,m, m is the number of emotion types), and the color feedback effect evaluation can be performed by calculating the satisfaction score of the user to the color feedback, etc.

[0114] The therapist can understand the mood training situation of the user according to the evaluation report, and formulate a personalized subsequent treatment scheme for the user, and also can optimize and adjust the parameters and training methods of the device according to the evaluation result, so as to improve the effect and quality of the mood training.

[0115] As can be seen from the above, the mood training method provided by the embodiment is based on the above-mentioned optimized mood training device for psychological consultation, and realizes accurate monitoring, analysis and feedback of the mood of the user through scientific and systematic steps, and provides an effective method and means for psychological consultation.

[0116] The embodiments of the present application are given for example and description, although the embodiments of the present application have been shown and described above, it can be understood that the above-mentioned embodiments are exemplary, and cannot be understood as limiting the present application, and the ordinary skilled in the art can make changes, modifications, replacements and modifications to the above-mentioned embodiments within the scope of the present application, which should be included in the protection scope of the present application.

Claims

1. An emotional training device for psychological counseling, characterized by, Comprise: A sand table body for providing a sand drawing creation plane; An image acquisition module arranged above the sand table for real-time capture of user facial expression data; An emotion analysis module connected to the image acquisition module, with built-in expression recognition algorithms and emotion classification databases; A projection display system including a projector connected to the emotion analysis module and an optical adjustment assembly; A central control unit integrated with: An emotion-color mapping module storing color schemes corresponding to different types of emotions; A dynamic pattern generation module that calls preset background templates according to emotion analysis results; A power supply module and a human-computer interaction interface.

2. The emotion training device for psychological counseling according to claim 1, wherein The image acquisition module comprises: A high-definition camera with a frame rate not less than 30fps; An infrared light supplement unit; A facial feature point positioning submodule.

3. The emotion training device for psychological counseling according to claim 1, wherein The emotion analysis module includes: A micro-expression recognition unit for capturing expression changes with a duration ≤500ms; An emotion intensity quantification unit; A multi-modal data fusion unit that can access heart rate, skin electricity, and other bioelectric signal sensors.

4. The emotion training device for psychological counseling according to claim 1, wherein The projection display system has: An adaptive focal length adjustment function with a projection accuracy ≥1080p; A color dynamic response system that can real-time match the PANTONE emotion color library; An edge fusion technology to ensure that the projected pattern accurately matches the sand table boundary.

5. The mood training device for psychological counseling according to claim 1, wherein The emotion-color mapping module includes: A basic color emotion correspondence library; A personalized learning unit that can record user historical emotion-color preference association data; A cultural difference correction factor.

6. The mood training device for psychological counseling according to claim 1, wherein Also includes: A sand particle thickness detection sensor embedded in the lower layer of the transparent substrate of the sand table; A tactile feedback unit including a vibration motor array; A three-dimensional audio system that can play environmental sound effects matching the emotional state.

7. The mood training device for psychological counseling according to any one of claims 1 to 6, wherein The central control unit is used to realize: Real-time adjustment of color saturation and brightness of projection content according to emotional changes; Automatic triggering of positive emotion intervention programs when detecting continuous negative emotions; Generating an emotion change curve graph containing a timestamp.

8. A mood training method based on the device of any one of claims 1-7, characterized by, The method comprises the following steps: S1, establishing a user baseline emotion model; S2, real-time acquisition and analysis of facial micro-expression data; S3, emotion classification through support vector machine algorithm; S4, calling the corresponding color projection scheme; S5, recording emotion-color interaction data and generating an evaluation report.

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