VR meditation course framework design method based on cognitive enhancement

Abstract

The invention relates to a VR meditation course framework design method based on cognitive enhancement, and the method comprises the steps: S1, evaluating the anxiety level, meditation concentration degree and exercise ability of teenagers according to a plurality of scale systems, and customizing exercise and meditation guidance parameters for a user according to an evaluation result; s2, constructing an interactive physical exercise scene, and dynamically and accurately adjusting the duration and complexity of exercise according to preset guidance parameters; s3, customizing deep breathing training and guiding meditation courses; and S4, evaluating the performance of the user in the previous two stages according to the exercise quality of the exercise and the meditation depth questionnaire, and providing guidance for subsequent courses by an obtained quality score. The method provided by the invention can provide evaluation guidance for the teenagers with depression, and provides data support and a new means for relieving anxiety symptoms of the teenagers.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of human-computer interaction and digital medical computer graphics, in particular to a VR meditation course framework design method based on cognitive reinforcement. BACKGROUND

[0002] With the development of computer graphics, human-computer interaction and digital medical technology, VR digital therapy has become a potentially effective means for treating mental health problems, especially adolescent anxiety. Although traditional drug therapy has achieved certain effect in relieving symptoms, its side effects, such as sedation, impaired attention, emotional fluctuations, etc., limit its wide application. By constructing an immersive virtual environment, VR therapy combines various physical and cognitive strategies to effectively help patients reduce anxiety symptoms. However, existing VR meditation designs mostly follow fixed scripts or static processes, which cannot dynamically adjust the guidance according to the user's attention fluctuations, emotional changes and physiological indicators during meditation, resulting in insufficient robustness; at the same time, many systems rely on physiological sensors and motion capture devices with limited precision, which are prone to data loss or misjudgment in large-scale or occluded situations, and cannot accurately guide dynamic meditation practice; in addition, the current framework lacks personalized parameter settings combining user anxiety scales and real-time physiological data, only provides a small number of preset scenes and fixed duration, lacks targeted adjustment for users with different anxiety levels and meditation experience, and the content is single and the intervention effect is limited; most importantly, most solutions do not form a closed-loop evaluation and iteration mechanism based on data driving, which cannot continuously optimize the meditation process and interaction experience according to the use feedback, making it difficult to ensure long-term efficacy and program reliability. Therefore, it is urgent to develop a VR meditation course framework design method based on cognitive reinforcement and multi-modal adaptation to improve the precision, robustness and personalization level of the system, and ensure efficient and sustainable meditation process. SUMMARY

[0003] To solve the above problems, the technical solution of the present application is disclosed as follows: a VR meditation course framework design method based on cognitive reinforcement, comprising: Step S1: comprehensively evaluate the anxiety level of adolescents according to Hamilton Anxiety Scale, Generalized Anxiety Disorder Scale and Ecological Momentary Assessment Scale, and also evaluate the meditation concentration and motor ability of adolescent users; according to the evaluation results, customize the guidance parameters of exercise and meditation for users, including the virtual scene of the system, the exercise intensity and duration during exercise stimulation, and the duration of deep breathing and meditation during meditation, etc., so as to adopt customized guidance schemes for users with different degrees of symptoms; Step S2: Construct different interactive movement and meditation virtual scenes to enhance the user's concentration ability during subsequent meditation training; a Tai Chi guiding stimulation scheme is designed, which guides the user to follow the movements of the two Tai Chi instructors in front of the virtual scene and the guidance of the guiding line in the air through the design of interactive Tai Chi exercise and clues; and the duration and complexity of the exercise are dynamically and accurately adjusted according to the guidance parameters, and the reward score of the user's exercise quality is obtained; Step S3: Customized deep breathing training and guided meditation courses are designed for users with different symptoms, with different duration of deep breathing training and content of meditation courses; Step S4: A quality score is obtained according to the user's participation in the course to evaluate the user's participation during exercise and meditation, the final quality score is obtained by adding the reward score of the exercise quality and the meditation depth questionnaire score, and personalized guidance is provided for subsequent courses according to the meditation depth questionnaire data.

[0004] Compared with the prior art, the present application has the following advantages: 1. The present application discloses a VR meditation course framework design method based on cognitive reinforcement, which is a course process through four stages of intervention control, stimulation, consciousness and reinforcement, and a complete use process is completed through eight rounds of course process. Compared with the traditional meditation system in the existing VR, the present application improves the intervention guidance effect for the user.

[0005] 2. The present application designs and realizes a VR meditation framework combining exercise and mindfulness meditation, which increases the blood flow and activation level of the prefrontal cortex through Tai Chi exercise to enhance executive function and attention control, improve cognitive function, thereby enhancing the effect of mindfulness meditation, and designs many detail clues to make the user more involved. Compared with traditional mindfulness meditation training, the present application improves the effect of mindfulness meditation.

[0006] 3. The present application designs and realizes a personalized adjustment Tai Chi guiding scheme, which adjusts the movement complexity and time of the user through Tai Chi movement parameters set by the user's questionnaire and test data. Compared with the existing meditation framework, the present method can realize the natural adjustment of stimulation intensity.

[0007] 4. The present application designs and realizes a customized data control module for teenagers, which obtains relevant data of the user each time and provides guidance for subsequent courses, and continuously cycles and deepens to improve the compliance of teenagers and the effectiveness of long-term intervention. Compared with the existing meditation framework, the present method can more effectively provide data support for the course. BRIEF DESCRIPTION OF DRAWINGS

[0008] Figure 1This is a framework diagram of a VR meditation course framework design method based on cognitive enhancement in an embodiment of the present application; Figure 2 Three types of virtual scene images of the embodiment of the present application (including (a) outdoor natural landscape scene, (b) safe indoor scene and (c) fantasy cartoon scene); Figure 3 A visualization diagram of the positive and encouraging psychological cues in this application (where (a) positive psychological cues, (b) encouraging psychological cues); Figure 4 Visualization of the dynamic cue set in this application (including (a) time cues, (b) stimulation cues, (c) immersion cues, and (d) awareness cues). DETAILED DESCRIPTION

[0009] The present application will be further explained below with reference to the accompanying drawings and specific embodiments. It should be understood that the following specific embodiments are only for illustration and are not intended to limit the scope of the present application. It should be noted that the terms "front," "rear," "left," "right," "up," and "down" used in the following description refer to directions in the accompanying drawings, and the terms "inward" and "outward" refer to directions toward or away from the geometric center of a particular component, respectively.

[0010] like Figure 1 As shown, the embodiment of the present application provides a VR meditation course framework design method based on cognitive enhancement, including the following steps: Step S1: Comprehensively assess the anxiety level of adolescents based on the Hamilton Anxiety Rating Scale, the Generalized Anxiety Disorder Scale, and the Ecological Momentary Assessment Scale, and also assess the adolescent users' meditation concentration and exercise ability; customize exercise and meditation guidance parameters for users based on the assessment results, including the system's virtual scene, exercise intensity and duration during exercise stimulation, deep breathing and meditation duration during awareness, etc., so as to adopt customized guidance plans for users with different degrees of symptoms; use the Hamilton Anxiety Rating Scale as an observer-rated anxiety level scale, the Generalized Anxiety Disorder Scale as a self-reported anxiety level scale, and the Ecological Momentary Assessment Scale to further refine the assessment of adolescent users' anxiety levels, and simultaneously assess adolescent users' meditation concentration and exercise ability; for all three scales, the higher the score, the higher the anxiety level; the Hamilton Anxiety Scale takes 15-20 minutes to complete and be filled in and assessed by the user at the beginning and end of the entire use process; the Generalized Anxiety Disorder Scale and the Ecological Momentary Assessment Scale take 3-5 minutes to complete and be filled in by the user at the beginning and end of each use; Step S2: Construct different interactive movement and meditation virtual scenes to enhance the user's concentration ability in subsequent meditation training; a Tai Chi guiding stimulation scheme is designed, which guides the user to follow the actions of the two Tai Chi instructors in front of the virtual scene and the guidance of the guiding line in the air through the carefully designed interactive Tai Chi exercise and clue design; and dynamically and accurately adjusts the duration and complexity of the exercise according to the guidance parameters, while obtaining the reward score of the user's exercise quality; Step S3: Customized personalized deep breathing training and guided meditation courses, different duration of deep breathing training and content progressive meditation courses are designed for users with different symptoms; Step S4: Obtain a course quality score according to the user's participation in the course to evaluate the user's participation during exercise and meditation, add the reward score of exercise quality and the meditation depth questionnaire score to obtain the final quality score, and provide personalized guidance for subsequent courses according to the meditation depth questionnaire data.

[0011] In one embodiment, step S2: Construct different interactive movement and meditation virtual scenes, as shown in Figure 2 (a) outdoor natural landscape scene, (b) safe indoor scene and (c) fantastic cartoon scene; to enhance the user's concentration ability in subsequent meditation training; a Tai Chi guiding stimulation scheme is designed, which guides the user to follow the actions of the two Tai Chi instructors in front of the virtual scene and the guidance of the guiding line in the air through the carefully designed interactive Tai Chi movement and clue design, and dynamically and accurately adjusts the duration and complexity of the exercise according to the user's guidance parameters, enhances the user's attention control and psychological self-regulation ability through Tai Chi movement, and obtains the reward score of the user's exercise quality, which specifically includes: Step S21: The constructed virtual scene includes outdoor natural landscape scene, safe indoor scene and fantastic cartoon scene, and the suitable scene is selected for the user according to the questionnaire result; Step S211: According to the intervention cycle , the anxiety levels of the user's questionnaire evaluation results, including continuous worry , lack of security and attention decline are calculated, and the condition adaptive probability set of this time is obtained by normalizing the scale results; The calculation formula (1) is as follows: (1) Wherein represents a regularization function, which is used to normalize all scale results to the same size, initial hamilton anxiety scale results normalized to the same scale, previous cycle generalized anxiety disorder scale results normalized to the same scale, previous cycle ecological momentary assessment scale results normalized to the same scale, previous cycle mindfulness depth questionnaire results normalized to the same scale; Step S212: Select the best virtual scene for the current intervention session according to the anxiety level and characteristics of different virtual environments, wherein the outdoor natural landscape scene ; safe indoor scene and fantastic cartoon scene The three virtual scenes respectively focus on anxiety relief, safety enhancement and attention enhancement. For each virtual scene used for intervention, three types of weights are initialized: anxiety relief weight , safety enhancement weight and attention enhancement weight , and a weight algorithm is designed to select the virtual scene set with the highest overall weight from the virtual scene set as the virtual scene set used for intervention in this round; in order to avoid repetition, the virtual scene of the last round is avoided each time, and the final scene is selected according to the adaptive parameters of this time.

[0012] Step S22: Design a Tai Chi guiding stimulation scheme, which guides the user to follow the movements of two virtual Tai Chi instructors and the guidance of the virtual guide line in the virtual scene through interactive Tai Chi movements and clue design; A virtual instructor image in front of the user and a guide line are designed to help the user perform Tai Chi. At the same time, in order to enhance the user's participation and improve the user's compliance, the method carefully designs a prompt to provide positive and gentle psychological feedback to the user, helping them to establish a positive emotional cognition.

[0013] As shown in (a) positive psychological suggestion and (b) encouraging psychological suggestion in Figure 3 ; the user will be praised when he completes the standard exercise according to the guidance; if the action is incorrect, he will receive encouraging prompts for guidance; in addition, if the user's action speed is too slow or too fast, he will receive a prompt to regulate the guidance. These interactive elements are simple and intuitive, making it easy for users to understand and execute, thereby helping them better master the use process.

[0014] In order to enhance the immersion and intervention experience of the intervention, a hierarchical dynamic clue set is constructed, as shown in (a) time clue, (b) stimulation clue, (c) immersion clue, and (d) consciousness clue in Figure 4 These dynamic prompts are interwoven together to create a comprehensive multi-sensory experience environment.

[0015] The time clue indicates the duration and remaining time of the current intervention. The application designs a censer to dynamically measure time by burning two incense sticks, which correspond to the stimulation stage and the awareness stage respectively; the immersion clue includes visual semantics consistent with auditory white noise and dynamic lighting, enhancing the user's immersion and promoting deep relaxation. For example, the sound of leaves rustling in the wind and birds singing is added to the intervention scene "virtual mountain landscape" to enhance the sense of immersion. Dynamic lighting naturally transitions from bright to dusk to dim, helping users gradually calm down and adjust their emotional rhythm; the stimulation clue includes a virtual instructor and a sound prompt during the stimulation stage. The virtual instructor demonstrates the correct movements and guides the teenager to complete the correct exercise movements, while clearly prompting them to perform the current task to ensure smooth progress of the stimulation; the awareness clue includes a breathing ball and mindfulness guiding audio. The breathing ball guides teenagers to take deep breaths through changes in shape and size, helping them quickly enter a meditative state. The mindfulness guiding audio is inspired by the concept of ZenVR, providing different audio guidance for different stages of intervention, gradually guiding users to master and practice mindfulness meditation.

[0016] Step S23: dynamically adjust the duration and complexity of Tai Chi movements according to the evaluation results to customize the guidance parameters of movement and meditation for the user; at the same time, three different complexity sets of Tai Chi movements are designed, guiding teenagers to enter a light exercise state; wherein the step S23 specifically comprises: in order to enhance the effect of subsequent mindfulness meditation, the user needs to perform a 3-5 minute light exercise, according to the complexity of the movement trajectory, the twenty-four-form Tai Chi movement set is divided into three levels of simple, medium and difficult, wherein the simple movement set has 12 movements, the medium movement set has 8 movements, and the difficult movement set has 4 movements, thereby obtaining three different complexity sets of Tai Chi movements 、 、 ; 、 and represent the time of entering a light exercise state and maintaining this state for 3-5 minutes; assuming that the total energy consumed during the time of entering a light exercise state and maintaining this state for 3-5 minutes is , it is obtained that 、 and the unit movement intensity in the three different complexity sets of Tai Chi movements 、 and , wherein ; and the proportion calculation optimization formula of the three movement sets is set according to the full accuracy of the user for the simple, medium and difficult movements, and the calculation formula (2) is as follows:

[0017] wherein, and are the accuracy rates of the user in performing the medium and difficult actions, respectively, , and are the proportions of the three types of Tai Chi actions, namely, simple, medium and difficult, from , and , and comprise a Tai Chi movement set , represents the time consumption of the movement phase.

[0018] Step S24: A virtual instructor showing the standard action and a guide line showing the correct hand movement trajectory of the Tai Chi movement are set in the virtual scene, and the hand movement of the user is also recorded as a trajectory line in the scene. The hand trajectory line of the user action and the guide line of the standard action are matched in terms of completion speed and trajectory shape, and different reward scores are obtained according to different thresholds to reflect the quality of the user's movement practice this time. The step S24 specifically comprises the following steps: Step S241: The movement trajectory of the palms of the hands of the character in the Tai Chi action is extracted and displayed as a guide line in the three-dimensional virtual scene. The calculation formula (3) of the movement trajectory is as follows: (3) wherein, and are the view direction and position of the instructor in the Tai Chi movement, is the relative position of . According to the view direction and the view position of the user's view point in the virtual environment according to the first relative position, and all the relative positions calculated by , all the absolute sampling positions of the movement trajectory of the palms of the hands relative to the user's view point are obtained, and the calculation formula (4) is as follows: (4) wherein, is within the range of ​​​​​​is a signal function, and its calculation formula (5) is shown as follows: (5) Then all the absolute sampling positions of the moving track are connected, and the matrix is used to visualize it in the screen space to obtain the Tai Chi guiding line track under the user's viewpoint MVP ; ; Step S242: During the user's movement, the action track of the user's hand is displayed in real time, the user's hand track is matched with the Tai Chi guiding line track in shape, and the speed of the track drawn by the user and the matching accuracy are used to score, and three thresholds of general, better and very good are divided to give the reward score of the movement stage .

[0019] The step S3 specifically includes that the number of times of deep breathing training of the user under the multi-sensory guidance is set according to the questionnaire of the user and the completion degree of the movement, and 8 progressive meditation courses are customized for the user, a meditation audio set for reducing anxiety is constructed , and is decomposed into guiding audios for continuous worry, lack of security and lack of concentration , , ; then the audio segment of the corresponding length is selected according to the probability value to constitute the audio of this meditation ; and the duration of the mindfulness meditation is determined according to the course setting ; help the user master the correct breathing skill, reduce anxiety, and promote self-regulation and psychological recovery.

[0020] In one embodiment, the above step S4: according to the participation of the user in the course, a quality score of a period is obtained to evaluate the participation of the user during the movement and meditation, the final quality score is obtained by adding the reward score of the quality of the movement exercise and the score of the meditation depth questionnaire, and personalized guidance is provided for the subsequent course according to the meditation depth questionnaire data, specifically including: ​The willingness of the user to try again is determined by the timely reinforcement of the meditation course. The method provides the user with a score in terms of stimulation and awareness, the higher the score, the higher the participation, thereby enhancing their motivation to participate and enhancing their self-confidence, thereby promoting a sustained positive experience. The quality of the Tai Chi movement is evaluated to obtain a score in terms of stimulation, while statistical data from the meditation depth questionnaire is collected to obtain a score in terms of awareness. The scores of the two stages are then added to obtain a final quality score. The user is motivated to actively participate in the meditation course. In addition, the meditation depth questionnaire statistics also obtain the relevant state of the user, and provide personalized guidance for subsequent courses, and help the user to better understand their own emotional state and psychological changes. Thus a complete cycle is completed, and relevant user data is obtained to prepare for the next stage of the course, and the next stage of the course is continued.

[0021] The hardware configuration used by the embodiments of the present application is an Intel i9-14900KF processor, a Nvidia Geforce4090D graphics card, and 64G of memory. It runs on a Windows 11 64-bit system. All programs related to efficiency testing are 64-bit programs compiled using O2 level optimization. The embodiments of the present application control the flow through the four stages of intervention, stimulation, awareness and reinforcement. After eight uses, a complete use flow is completed. The blood flow and activation level of the prefrontal cortex are increased through Tai Chi movement to enhance executive function and attention control, improve cognitive function, thereby enhancing the effect of mindfulness meditation, and many detailed clues are designed to make the user more involved. Compared with traditional mindfulness meditation training, the present application improves the effect of mindfulness meditation.

[0022] The technical means disclosed in the scheme of the present application is not limited to the technical means disclosed in the above-mentioned embodiments, but also includes technical solutions composed of any combination of the above technical features.

Claims

1. A VR meditation course framework design method based on cognitive enhancement, characterized by: The specific steps include: Step S1: Comprehensively assess the adolescent's anxiety level, meditation concentration, and exercise ability based on the Hamilton Anxiety Rating Scale, the Generalized Anxiety Disorder Scale, and the Ecological Momentary Assessment Scale; and customize exercise and meditation guidance parameters for the user based on the assessment results. Step S2: construct different interactive sports and meditation virtual scenes; Step S3: Customized deep breathing training and guided meditation sessions; Step S4: A quality score for one cycle is obtained based on the user's participation in the course to evaluate the user's participation during exercise and meditation. The final quality score is obtained by adding the bonus score for the quality of exercise practice and the meditation depth questionnaire score, and personalized guidance is provided for subsequent courses based on the meditation depth questionnaire data.

2. A VR meditation course framework design method based on cognitive enhancement according to claim 1, characterized in that: The step S2 specifically includes the following steps: Step S21: The constructed virtual scenes include outdoor natural landscape scenes, safe indoor scenes, and fantasy cartoon scenes. The appropriate scene is selected for the user based on the questionnaire results; Step S22: designing a Tai Chi guidance stimulation program, guiding the user to perform Tai Chi exercises by following the movements of two Tai Chi instructors in the virtual scene and the guidance of the aerial guide lines through interactive Tai Chi movements and clues; Step S23: Based on the evaluation results, exercise and meditation guidance parameters are customized for the user to dynamically adjust the duration and complexity of Tai Chi exercises. Tai Chi movement sets of three different levels of complexity, simple, medium, and difficult, are designed to guide teenagers into a light exercise state. Step S24: A virtual instructor who demonstrates standard movements and a guide line that displays the correct hand movement trajectory of Tai Chi exercise in real time are set up in the virtual scene. At the same time, the user's hand movement will also be recorded as a trajectory line in the scene. The completion speed and trajectory shape are matched according to the hand trajectory line of the user's movement and the guide line of the standard movement, and different reward scores are obtained according to different thresholds to reflect the quality of the user's exercise practice.

3. The method for designing a VR meditation course framework based on cognitive enhancement according to claim 2, characterized in that: The step S21 specifically includes the following steps: Step S211: According to the intervention cycle , for the user's questionnaire evaluation results, calculate the continuous concern , lack of security and decreased attention span The anxiety level is obtained by normalizing the scale results to obtain the conditional adaptive probability set ; The calculation formula (1) is as follows: （1） in Represents a regularization function, which is used to normalize all scale results to the same size. represents the initial Hamilton Anxiety Rating Scale results normalized to the same scale, represents the results of the Generalized Anxiety Disorder Scale of the previous cycle normalized to the same scale results, represents the ecological momentary assessment scale results of the previous cycle normalized to the same scale results, It represents the results of the previous cycle's Meditation Depth Questionnaire normalized to the same scale results; Step S212: Select the best virtual scene for this intervention session based on the anxiety level and characteristics of different virtual environments, including outdoor natural landscape scenes. ;Safe indoor scene and fantasy cartoon scenes The three virtual scenarios focus on anxiety relief, security improvement, and attention enhancement, respectively. For each virtual scenario used for intervention, three types of weights are initialized: anxiety relief weight , security enhancement weight and attention enhancement weights , and design a weight algorithm to select the scene set with the highest overall weight from the virtual scenes as the virtual scene set for intervention in this round; in order to avoid repetition, avoid using the virtual scenes of the previous round each time, and select the final scene based on the adaptive parameters of this time.

4. The method for designing a VR meditation course framework based on cognitive enhancement according to claim 2, characterized in that: The step S23 specifically includes: in order to enhance the effect of subsequent mindfulness meditation, the user is required to perform light exercise for 3-5 minutes, and for three different levels of complexity of Tai Chi movements: simple, medium and difficult, 、 、 The time required for each 、 and To enter a light exercise state and maintain it for 3-5 minutes; Assuming that the total energy consumed in entering a light exercise state and maintaining it for 3-5 minutes is , we can conclude 、 and Unit exercise intensity of three Tai Chi movements of different complexity 、 and , and set the ratio calculation optimization formula of the three action sets according to the user's complete accuracy for simple, medium and difficult actions. The calculation formula (2) is as follows: ;in and are the accuracy rates of users performing medium and difficult actions, respectively. 、 and The proportion of simple, medium and difficult Tai Chi movements is shown in Table 2. 、 and Select 、 and Composition of Tai Chi exercise set , Indicates the duration of the exercise phase.

5. The method for designing a VR meditation course framework based on cognitive enhancement according to claim 2, characterized in that: The step S24 specifically includes the following steps: Step S241: Extracting the movement trajectory of the character's palms from the Tai Chi movement , and display it as a guide line in the three-dimensional virtual scene, moving trajectory The calculation formula (3) is as follows: （3） in, and They are the direction and position of the instructor's viewpoint during Tai Chi exercise, yes for of relative position; according to The user's viewpoint at a relative position Viewpoint direction in the virtual environment and viewpoint position , and through All relative positions calculated , get relative to the user's viewpoint The movement trajectory of the palms of both hands All absolute sampling positions , the calculation formula (4) is as follows: （4） in, exist within the range, is the signal function, It represents the time taken for the movement phase; its calculation formula (5) is as follows: （5） Then move the trajectory All absolute sampling positions are concatenated and used MVP The matrix visualizes it in screen space to get the user's viewpoint Tai Chi guide line trajectory ; Step S242: The user's hand movement trajectory will be displayed in real time during the exercise, and the user's hand trajectory will be compared with the Tai Chi guide line trajectory. Perform shape matching and score based on the speed of the user's trajectory and the accuracy of the match. Three thresholds are used to give bonus points for the movement stage: general, good, and very good. .

6. The method for designing a VR meditation course framework based on cognitive enhancement according to claim 1, characterized in that: The step S3 specifically includes: setting the number of deep breathing exercises for the user under multi-sensory guidance according to the user's questionnaire and exercise completion, and customizing 8 progressive meditation courses for the user, and building a meditation audio collection to reduce anxiety. , and breaks it down into guided audio sessions targeting persistent worry, insecurity, and difficulty focusing. 、 、 ; Then, based on the probability value, select the audio clips of corresponding length to form the audio of this meditation ; and determine the duration of mindfulness meditation according to the course settings ; Help users master correct breathing techniques, reduce anxiety, and promote self-regulation and psychological recovery.

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