Generative artificial intelligence-based multi-modal human behavior and psychological analysis platform

Abstract

A multimodal human behavior and psychological analysis platform based on generative artificial intelligence includes: a multimodal behavior data input module that receives data from multiple sources from users to establish a correlation between behavior and psychological state; a behavior and psychological analysis module that generates a psychological state scale based on the user's data from multiple sources and the correlation between behavior and psychological state; a game adaptation module that adjusts the game difficulty in real time to adapt to the correlation between the user's behavior and psychological state; an image story generation module that generates a story progression plot in real time to adapt to the correlation between the user's behavior and psychological state; an analysis and suggestion module that generates a psychological state change trend chart and psychological analysis assessment suggestions based on the user's data from multiple sources and the psychological state scale; and a report generation and progress tracking module that generates a psychological analysis assessment report for the user based on data from multiple sources, the psychological state scale, and the psychological analysis assessment suggestions, and adjusts personal goals in real time to adapt to the user's progress feedback.

Description

Technical Field

[0001] This invention relates to a behavioral and psychological analysis platform, and more particularly to a multimodal human behavior and psychological analysis platform based on generative artificial intelligence. Background Technology

[0002] As mental health issues have a growing impact on modern society, more and more people need real-time mental health advice. However, traditional mental health services rely on manual assessments and face-to-face professional therapy, which are limited by time and resources. While some questionnaire-based assessment tools exist, their accuracy and comprehensiveness are still insufficient to address the complex psychological needs of daily life. Furthermore, most existing technologies rely on single data sources and fail to fully consider various behavioral data from users' daily lives, such as photos, voice recordings, articles, and drawings, thus limiting the accuracy of mental health assessments and the personalization of recommendations.

[0003] Furthermore, traditional psychotherapies (such as cognitive behavioral therapy and drug therapy) typically require long-term follow-up by professional psychologists, and users may lack sustained motivation due to the monotony of the treatment methods. To understand these issues, there is an urgent need for a platform capable of automated analysis, providing timely user feedback, and offering personalized suggestions. Summary of the Invention

[0004] This invention provides a system platform that utilizes generative artificial intelligence technology to automatically analyze multimodal behavioral data (such as photos, audio, articles, and videos), thereby generating a mental health scale for users and providing corresponding suggestions. The system platform of this invention can achieve early detection of mental health problems and, through gamification and image story generation, help users improve their mental state in daily life.

[0005] The multimodal human behavior and psychological analysis platform based on generative artificial intelligence provided by this invention includes: a multimodal behavior data input module, a behavior and psychological analysis module, a game adaptation module, an image story generation module, an analysis and suggestion module, and a report generation and progress tracking module. The multimodal behavior data input module receives data from multiple sources from a user to establish a correlation between the user's behavior and psychological state. The behavior and psychological analysis module is coupled to the multimodal behavior data input module and generates a psychological state scale for the user based on the user's data from multiple sources and the correlation between behavior and psychological state. The game adaptation module is coupled to the multimodal behavior data input module and the behavior and psychological analysis module and adjusts the game difficulty in real time to adapt to the user's behavior and psychological state. The system includes: a state association module; an image story generation module coupled to the multimodal behavioral data input module and the behavioral and psychological analysis module, used to generate real-time story progression plots to adapt to the user's behavioral and psychological state associations; an analysis suggestion module coupled to the multimodal behavioral data input module and the behavioral and psychological analysis module, used to generate user psychological state change trend charts and psychological analysis assessment suggestions based on user data from multiple sources and psychological state scales; and a report generation and progress tracking module coupled to the multimodal behavioral data input module, the behavioral and psychological analysis module, and the analysis suggestion module, used to generate user psychological analysis assessment reports based on data from multiple sources, psychological state scales, and psychological analysis assessment suggestions, and to adjust personal goals in real time to adapt to user progress feedback.

[0006] In one embodiment of the present invention, the multimodal behavior data input module receives user behavior data, collects user emotion data in real time, and establishes a correlation between user behavior and psychological state based on behavior data and emotion data.

[0007] In one embodiment of the present invention, the behavior and psychological analysis module identifies the user's facial expressions, language emotions, and artistic expression based on behavioral data and emotional data, establishes a correlation between the user's artistic expression and psychological state, and generates a psychological state scale for the user.

[0008] In one embodiment of the present invention, the game adaptation module adjusts the game difficulty in real time based on the user's facial expressions, emotional language, and the correlation between behavior and psychological state.

[0009] In one embodiment of the present invention, the image story generation module generates story progression plots in real time based on the user's facial expressions, language emotions, and the correlation between behavior and psychological state.

[0010] In one embodiment of the present invention, the analysis and suggestion module generates a chart of the user's psychological state change trend and psychological analysis and evaluation suggestions based on behavioral data, emotional data, and psychological state scales.

[0011] In one embodiment of the present invention, the report generation and user tracking module generates a user's psychological analysis and assessment report based on behavioral data, emotional data, psychological state scales, and psychological analysis and assessment suggestions, and adjusts personal goals in real time to adapt to the user's progress feedback.

[0012] Specifically, the technical solution of this invention integrates multimodal behavioral data into a comprehensive analysis platform, using artificial intelligence technology for automatic identification of behavioral patterns and monitoring of psychological states. Based on the analysis results, the system platform generates personalized psychological scales and designs gamified tasks and visual narrative schemes, thereby promoting users' self-adjustment of emotions and long-term improvement of mental health. The system platform not only detects users' real-time psychological states but also tracks long-term psychological changes, providing real-time warnings and assistance / consultation suggestions.

[0013] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described in detail below with reference to the accompanying drawings. Attached Figure Description

[0014] Figure 1 This is a block diagram of a multimodal human behavior and psychological analysis platform provided in an embodiment of the present invention. Detailed Implementation

[0015] This invention is described in particular by way of the following examples, which are merely illustrative. Various modifications and refinements can be made by those skilled in the art without departing from the spirit and scope of this disclosure. Therefore, the scope of protection of this disclosure shall be determined by the appended claims. Throughout this specification and the claims, unless explicitly stated otherwise, the words "a" and "described" include a description comprising "a or at least one" element or component. Furthermore, as used herein, the singular article also includes a description of a plurality of elements or components unless clearly excluded from the specific context. Moreover, when applied in this description and throughout the claims below, unless explicitly stated otherwise, "in which" may include both "in which" and "therein". The terms used throughout this specification and the claims, unless otherwise specified, generally have their ordinary meaning in the art, in the disclosure, and in the specific context. Certain terms used to describe the invention will be discussed below or elsewhere in this specification to provide additional guidance to those skilled in the art in describing the invention. Examples throughout this specification, including examples of any terms discussed herein, are merely illustrative and do not, of course, limit the scope or meaning of the invention or any of the illustrative terms. Similarly, the invention is not limited to the various embodiments set forth in this specification.

[0016] The terms "substantially," "around," "about," or "approximately" as used herein should generally mean within 20% of a given value or range, preferably within 10%. Furthermore, the quantities provided herein may be approximate, thus meaning that unless otherwise stated, they may be expressed using the terms "about," "approximately," or "approximately." When a quantity, concentration, or other numerical value or parameter has a specified range, preferred range, or lists upper and lower ideal values, it should be considered as specifically disclosing all ranges consisting of any pairs of upper and lower limits or ideal values, whether or not such ranges are disclosed separately. For example, if a range of length X cm to Y cm is disclosed, it should be considered as disclosing a length of H cm, where H can be any real number between X and Y.

[0017] Furthermore, the use of the terms "coupled" or "connected" herein includes any direct or indirect electrical connection. For example, if the text describes a first device being electrically coupled to a second device, it means that the first device can be directly connected to the second device, or indirectly connected to the second device through other devices or connection means. Additionally, regarding the description of the transmission or provision of electrical signals, those skilled in the art will understand that attenuation or other non-ideal variations may occur during the transmission of electrical signals. However, unless otherwise specified, the source and receiver of the transmitted or provided electrical signal should be considered as the same signal. For example, if an electrical signal S is transmitted (or provided) from terminal A of an electronic circuit to terminal B of the same electronic circuit, a voltage drop may occur across the source and drain terminals of a transistor switch and / or possible stray capacitances. However, unless the purpose of this design is to intentionally utilize attenuation or other non-ideal variations during transmission (or provision) to achieve certain specific technical effects, the electrical signal S at terminals A and B of the electronic circuit should be considered as the same signal.

[0018] It is understood that the terms "comprising," "including," "having," "containing," "involving," etc., used herein are open-ended, meaning they include but are not limited to. Furthermore, no embodiment or claim of this invention is required to achieve all the objects, advantages, or features disclosed herein. In addition, the abstract and headings are merely for assisting in patent document searching and are not intended to limit the scope of the claims.

[0019] Please see Figure 1The diagram shown is a block diagram of a multimodal human behavior and psychological analysis platform provided in an embodiment of the present invention. The multimodal human behavior and psychological analysis platform 1 provided in this embodiment includes a multimodal behavior data input module 11, a behavior and psychological analysis module 12, a game adaptation module 13, an image story generation module 14, an analysis and suggestion module 15, and a report generation and progress tracking module 16. The multimodal behavior data input module 11 receives data from multiple sources from a user to establish a correlation between the user's behavior and psychological state. The behavior and psychological analysis module 12 is coupled to the multimodal behavior data input module 11 and is used to generate a psychological state scale for the user based on the user's data from multiple sources and the correlation between behavior and psychological state. The game adaptation module 13 is coupled to the multimodal behavior data input module 11 and the behavior and psychological analysis module 12 and is used to adjust the game difficulty in real time to adapt to the user's behavior and psychological state. The system includes: a dynamic correlation module; an image story generation module 14 coupled to a multimodal behavioral data input module 11 and a behavioral and psychological analysis module 12, used to generate real-time story progression plots to adapt to the correlation between the user's behavioral and psychological states; an analysis suggestion module 15 coupled to a multimodal behavioral data input module 11 and a behavioral and psychological analysis module 12, used to generate trend charts of the user's psychological state changes and psychological analysis assessment suggestions based on data from multiple sources and psychological state scales; and a report generation and progress tracking module 16 coupled to a multimodal behavioral data input module 11, a behavioral and psychological analysis module 12, and an analysis suggestion module 15, used to generate the user's psychological analysis assessment report based on data from multiple sources, psychological state scales, and psychological analysis assessment suggestions, and to adjust personal goals in real time to adapt to the user's progress feedback.

[0020] In addition, the multimodal human behavior and psychological analysis platform 1 provided in this embodiment can be multiple hardware, software, or a combination of hardware and software cloud servers, computers, etc., for executing, calculating, and storing data; and all modules included in the multimodal human behavior and psychological analysis platform 1 provided in this embodiment can be hardware, software, or a combination of hardware and software computers, computers, control circuits, processing circuits, etc., for executing, calculating, and storing information and data.

[0021] The multimodal behavior data input module 11 receives the user's behavior data, collects the user's emotional data in real time, and establishes a correlation between the user's behavior and psychological state based on the behavior data and emotional data. Specifically, the multimodal behavior data input module 11 is responsible for receiving multimodal behavior data from different sources, including but not limited to photos, voice recordings, personal works (such as articles or paintings), videos, social media activities, physical activity data (such as heart rate and steps from wearable devices), typing speed and patterns, etc. This module uses generative artificial intelligence technology to preprocess this data, such as noise reduction, feature extraction, and annotation. First, this module integrates and standardizes the user's data from different sources. That is, because different data sources may have differences in format and structure, this module standardizes all input data to ensure compatibility with subsequent analysis modules. This data standardization includes pixel scaling of images, frequency adjustment of voice, and language analysis of text. In addition, this module performs automated data capture. That is, the multimodal human behavior and psychological analysis platform 1 can connect to smart devices or social platforms to capture user behavior data in real time and achieve real-time feedback through cloud data storage and analysis. For example, emotional information can be extracted from social media posts, and physical activity metrics can be extracted from smartwatches to assess a user's mental health. Furthermore, this module will integrate multi-level behavioral data to comprehensively analyze data from different sources, building a holistic picture of the user's behavior and mental state, rather than evaluating a single input source in isolation.

[0022] The Behavior and Psychological Analysis Module 12 identifies the user's facial expressions, language emotions, and artistic expression based on the behavioral data and emotional data, establishes the association between the user's artistic expression and psychological state, and generates a psychological state scale for the user. In detail, the Behavior and Psychological Analysis Module 12 is responsible for analyzing behavioral patterns from multimodal data and generating a psychological assessment report based on the behavioral data. The behavioral analysis technology here covers multiple levels: (1) Photo and video analysis: Through facial expression recognition technology, the emotional expression in photos or videos is analyzed to extract emotional states such as happiness, sadness, anxiety, and anger. At the same time, body language recognition technology is used to analyze postures and movements in videos to determine the user's stress level, tension, and other psychological characteristics. (2) Voice analysis: Through voice recognition technology, the tone, speed, pauses, and other information in the voice are analyzed to identify emotional fluctuations, and combined with natural language processing technology, the psychological state implied in the voice content is analyzed, such as worry and lack of confidence. (3) Personal works and creative analysis: For articles, paintings, and other works uploaded by users, the emotional expression and psychological intention in the works are extracted through emotional language analysis and art psychology technology. For artwork, the system can analyze changes in color selection, line usage, and composition style to infer the user's mental health status. (4) Physical activity and behavior pattern analysis: Data collected from wearable devices (such as heart rate, steps, and exercise volume) can be used to analyze the user's stress level and physical and mental state, and will automatically compare these data with mental health data to find the correlation between stress and behavioral changes. (5) Psychological scale generation: Based on the above behavioral analysis results, multi-dimensional psychological scales will be automatically generated, covering mental health indicators such as anxiety, self-confidence, stress, and social skills. These scales will be dynamically updated as the user's behavior changes, and long-term trend analysis reports will be provided.

[0023] The game adaptation module 13 adjusts the game difficulty in real time based on the user's facial expressions, language emotions, and the correlation between behavior and psychological state. In detail, the game adaptation module 13 aims to help users manage their emotions and psychology through games. The game adaptation module 13 dynamically generates personalized game plans based on the user's psychological scale and behavioral data: (1) Adaptive game mechanism: The game content will be automatically adjusted according to the user's psychological state. For example, when the user's anxiety level is high, the system will reduce the game difficulty and guide the user to complete relaxation training. For example, as the user's emotions stabilize, the game difficulty gradually increases, which may divert the user's attention or help the user gradually improve their emotional management ability. (2) Interactive game scenarios: Provide a variety of game scenarios to help users simulate stressors in real life and practice coping skills. For example, role-playing games in social scenarios can help users practice social skills and potentially resolve anxiety. (3) Augmented reality (AR) and virtual reality (VR) technologies: Provide users with a more immersive psychological management experience. Users can take on psychological challenges in a virtual environment and safely practice skills for coping with stress and managing emotions.

[0024] The image story generation module 14 generates the story progression in real time based on the user's facial expressions, linguistic emotions, and the correlation between behavior and psychological state. Specifically, the image story generation module 14 utilizes generative artificial intelligence technology to create personalized image stories based on the user's behavioral data and psychological state. These image stories help users understand and process emotions through narrative: (1) Emotional projection: Based on the user's psychological scale and emotional expression, characters and plots are generated, and these characters are closely related to the user's psychological state. Through emotional projection in the story, users can more intuitively understand their emotions and engage in self-reflection. (2) Interactive narrative: The plot in the image story dynamically changes according to the user's choices. This interactivity makes the story not just a one-way narration, but a projection and exploration of the user's psychological changes.

[0025] The analysis and suggestion module 15 generates a trend chart of the user's psychological state changes and psychological analysis and assessment suggestions based on the behavioral data, emotional data, and psychological state scale. Specifically, the analysis and suggestion module 15 provides personalized early intervention suggestions based on the user's psychological scale and behavioral changes. These suggestions include methods such as mindfulness practice, meditation, and cognitive behavioral therapy (CBT) to help users adjust their emotions in a timely manner, prevent psychological problems from worsening, and provide timely recommendations for professional psychological counselors based on data changes.

[0026] The report generation and progress tracking module 16 generates a psychological analysis and assessment report for the user based on the behavioral data, emotional data, psychological state scale, and psychological analysis and assessment suggestions, and adjusts personal goals in real time to adapt to the user's progress feedback. Specifically, the report generation and progress tracking module 16 periodically generates mental health reports, providing a comprehensive analysis of the user's behavior and psychological state, and offering historical trend comparisons based on changes in the user's psychological scale. Users can set personal mental health goals and track their progress.

[0027] In the first example, anxiety monitoring and early intervention based on multimodal data.

[0028] User background: User A is a college student who is facing exam pressure and often feels anxious and uneasy.

[0029] Data input: Users uploaded multiple photos of their daily lives, recorded audio recordings of their exam preparation, and posted articles on social media that expressed anxiety.

[0030] Platform Processing: Using facial expression recognition technology from photos, the platform analyzed the user's data and found an increased stress level. Voice analysis detected faster speech and a tense tone, while sentiment analysis of the text revealed significant anxiety and stress. Based on this multimodal data, the system generated a psychological scale for anxiety.

[0031] Early intervention: The platform designed a series of gamified relaxation exercises for user A to help reduce exam stress. The games included meditation and deep breathing exercises, and offered mindfulness practice courses. As the game progressed, the user's anxiety gradually subsided, and the system's real-time feedback showed that their stress index gradually decreased.

[0032] Result: User A successfully diverted test anxiety through the game, which ultimately improved self-confidence and reduced anxiety episodes.

[0033] The second example involves work stress and emotion management.

[0034] User background: User B is a manager who has worked in the company for many years. Recently, he has been facing frequent meetings and decision-making pressure, and his emotions have been fluctuating greatly.

[0035] Data input: Users provided heart rate and exercise data through wearable devices, uploaded some videos of their work scenarios, and recorded voice notes of their daily work.

[0036] Platform Processing: The platform analyzed the body language in the video, revealing that the user frequently exhibited tense postures and fatigue during the meeting. Heart rate data showed abnormally high stress levels, while voice analysis revealed a low tone of voice, indicating depressed mood. Based on this data, the platform generated a psychological scale related to work stress.

[0037] Early intervention: The platform designed a game simulating a work scenario for user B, helping them practice stress coping skills in a virtual environment and teaching them how to change their perception of stressful situations. Simultaneously, the platform recommended several stress-relieving exercise programs, such as yoga and mindfulness meditation.

[0038] Results: After a period of gaming and mindfulness practice, User B's stress level decreased significantly, and their heart rate and behavioral patterns showed a trend toward emotional stability.

[0039] In the third example, gamified guidance is used to help children develop their emotional abilities.

[0040] User background: User C is an 8-year-old child whose parents have noticed that he is exhibiting emotional problems at school, such as social difficulties and frequent emotional outbursts.

[0041] Data input: Parents uploaded their child's daily artwork to user C, as well as recorded videos of their child's daily conversations and some school activities.

[0042] Platform Processing: The platform analyzed the colors and themes in the artwork, revealing potential insecurity and anxiety in the child. Voice analysis detected limitations in emotional expression, while body language in the video indicated anxiety when interacting with peers. Based on this data, the platform generated a psychological scale for children's emotional development.

[0043] Early intervention: The system generated a gamified story for user C, with characters in the story matching user C's emotional state, helping the child understand and manage their emotions through role-playing in the game. The game also included social skills practice and emotion recognition training.

[0044] Results: User C gradually learned how to better express emotions and became more confident in interactions with classmates; parents reported a decrease in their child's mood swings.

[0045] The fourth example is the creator's exploration of their own emotions.

[0046] User background: User D is a professional writer who has experienced emotional ups and downs in his writing process. Recently, he has felt a lack of inspiration and his mood has become depressed.

[0047] Data input: Users uploaded their latest creative articles and some paintings, as well as recorded audio recordings of their sources of inspiration.

[0048] Platform Processing: The platform used natural language processing technology to analyze the article's content, discovering repeated mentions of negative emotions such as loneliness and loss, and that the color choices in the artwork also reflected a somber style. Voice recordings revealed that user D was emotionally distressed when discussing inspiration. Based on these analytical results, the platform generated a psychological scale indicating that the user may be experiencing a low mood and creative anxiety.

[0049] Early intervention: The system generated an interactive image story based on user D's creative style, with the protagonist reflecting the user's emotional state. Through narrative changes, the platform guided the user to explore their inner emotions, helping them rebuild their creative confidence.

[0050] Result: With the help of the image story, User D rediscovered creative inspiration, gradually improved his mood, and successfully completed a new work.

[0051] In the fifth example, long-term follow-up of patients with depression

[0052] User background: User E is a patient with depression who is receiving medication, but has weak self-emotion management skills and experiences frequent mood swings.

[0053] Data input: User E provided daily diary entries, voice recordings, and uploaded some videos reflecting their daily life.

[0054] Platform Processing: The platform analyzed the diary content and detected that the user consistently exhibited negative emotions, such as sadness and helplessness, and the voice recordings also showed a depressed mood. Body language in the video indicated isolation and fatigue. Based on these analysis results, the platform generated a detailed psychological scale indicating that the user's emotional fluctuations were intensifying and further intervention might be necessary.

[0055] Early intervention: Based on psychological scales and behavioral analysis results, the platform designed a gamified course for user E to help improve negative thinking patterns. The game scenarios helped the user gradually recognize the errors in their thinking and learn to cope with life's challenges in a positive way. The platform also provided daily meditation practice reminders to help the user stabilize their emotions.

[0056] Results: With the help of games and courses, User E's emotions gradually stabilized, and their psychological state improved significantly. The system regularly revisits the user for long-term follow-up.

[0057] The multimodal human behavior and psychological analysis platform 1 provided by this invention uses artificial intelligence technology to automatically identify behavioral patterns and monitor psychological states. It can generate personalized psychological health scales for users based on the analysis results and provide corresponding suggestions. It can also assist physicians in the early detection of psychological problems and promote users' self-adjustment of emotions and long-term improvement of psychological health through gamification and image story generation. It can not only detect users' real-time psychological state, but also track users' long-term psychological changes, thereby helping users improve their psychological state in daily life and providing real-time early warning and assistance consultation suggestions.

[0058] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the methods and techniques disclosed above without departing from the scope of the present invention to create equivalent embodiments. Any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A multimodal human behavior and psychological analysis platform based on generative artificial intelligence, characterized in that, include: A multimodal behavioral data input module is used to receive data from multiple sources from a user to establish a correlation between the user's behavior and psychological state; A behavior and psychological analysis module, coupled to the multimodal behavior data input module, is used to generate a psychological state scale for the user based on data from multiple sources and the correlation between the user's behavior and psychological state. A game adaptation module, coupled to the multimodal behavior data input module and the behavior and psychology analysis module, is used to adjust the game difficulty in real time to adapt to the user's behavioral and psychological state correlation. An image story generation module, coupled to the multimodal behavior data input module and the behavior and psychology analysis module, is used to generate story progression plots in real time to adapt to the user's behavioral and psychological state associations; An analysis and suggestion module, coupled to the multimodal behavioral data input module and the behavioral and psychological analysis module, is used to generate a psychological state change trend chart and psychological analysis assessment suggestions for the user based on the user's data from multiple sources and the psychological state scale. as well as A report generation and progress tracking module, coupled to the multimodal behavioral data input module, the behavioral and psychological analysis module, and the analysis suggestion module, is used to generate a psychological analysis assessment report for the user based on data from multiple sources, the psychological state scale, and the psychological analysis assessment suggestions, and to adjust personal goals in real time to adapt to the user's progress feedback.

2. The multimodal human behavior and psychological analysis platform based on generative artificial intelligence as described in claim 1, characterized in that, The multimodal behavior data input module receives the user's behavior data, collects the user's emotional data in real time, and establishes a correlation between the user's behavior and psychological state based on the behavior data and the emotional data.

3. The multimodal human behavior and psychological analysis platform based on generative artificial intelligence as described in claim 2, characterized in that, The behavioral and psychological analysis module identifies the user's facial expressions, language emotions, and artistic expression based on the behavioral data and emotional data, establishes a correlation between the user's artistic expression and psychological state, and generates a psychological state scale for the user.

4. The multimodal human behavior and psychological analysis platform based on generative artificial intelligence as described in claim 3, characterized in that, The game adaptation module adjusts the game difficulty in real time based on the user's facial expressions, emotional language, and the correlation between the user's behavior and psychological state.

5. The multimodal human behavior and psychological analysis platform based on generative artificial intelligence as described in claim 3, characterized in that, The image story generation module generates the story progression in real time based on the user's facial expressions, linguistic emotions, and the correlation between the user's behavior and psychological state.

6. The multimodal human behavior and psychological analysis platform based on generative artificial intelligence as described in claim 2, characterized in that, The analysis and suggestion module generates a trend chart of the user's psychological state changes and psychological analysis and assessment suggestions based on the behavioral data, the emotional data, and the psychological state scale.

7. The multimodal human behavior and psychological analysis platform based on generative artificial intelligence as described in claim 2, characterized in that, The report generation and user tracking module generates a psychological analysis and assessment report for the user based on the behavioral data, the emotional data, the psychological state scale, and the psychological analysis and assessment suggestions, and adjusts personal goals in real time to adapt to the user's progress feedback.

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