Description:TECHNICAL FIELD
[001] The present disclosure generally relates to the field of virtual reality (VR) applications in healthcare. More particularly, the present disclosure relates to system and method for personalized virtual reality therapy using ai-enabled environments and real-time data analysis. Additionally, the present disclosure pertains to an AI-enabled VR platform that offers personalized therapy experiences by integrating machine learning, natural language processing, and real-time data analysis to support therapists in conducting both individual and group therapy sessions remotely. The present disclosure also encompasses the use of virtual therapy environments, audio-visual content repositories, and data analytics tools to enhance patient engagement and treatment efficacy in a secure, scalable manner.

BACKGROUND
[002] In a clinical setting, treating patients with psychological disorders (such as Alcohol Use Disorder, Obsessive-Compulsive Disorder (OCD), and various phobias) often requires specific therapeutic mechanisms. These mechanisms may involve exposure therapy, cue-based therapy, or general relaxation techniques. One commonly used approach is guided imagery, where therapists ask patients to imagine specific scenarios, immersing them mentally in environments that evoke their fears or anxieties. This method assists patients in confronting and managing the anxiety associated with their conditions.

[003] However, these traditional methods have several limitations. A significant challenge is that guided imagery relies heavily on the patient’s imaginative capability. Not all patients possess the cognitive ability to visualize the scenarios effectively or maintain focus on the therapist's guidance. This variability in imagination makes it difficult for therapists to ensure a standardized and consistent therapy experience. Additionally, the therapist cannot objectively verify what the patient is visualizing, resulting in a lack of real-time feedback and control over the therapeutic process.

[004] In-situ exposure therapy where the therapist attempts to recreate the anxiety-provoking environment in the clinical setting is another common approach. However, recreating all possible environments within a clinic is impractical. For example, addressing fears like flying, heights, or insects often requires specialized equipment or settings that are resource-intensive and costly. Furthermore, this method often lacks flexibility, focusing on a narrow set of scenarios and failing to dynamically adapt to the varied needs of individual patients.

[005] Real-world exposure therapy involves taking patients into actual environments where they confront their fears, such as visiting an airport to treat a fear of flying. While this method can be effective, it poses several risks, including safety and ethical concerns, especially for patients with severe anxiety or panic disorders. Additionally, the therapist has limited control over external factors, such as crowds or unpredictable events, which could hinder the therapeutic process. The cost, time, and logistical planning required for real-world exposure therapy further limit its feasibility.

[006] Some therapists resort to using 2D media, such as images or videos, to simulate scenarios for exposure therapy. However, these methods lack the immersive quality necessary for effective exposure. Static images or videos do not fully engage the patient or allow for dynamic, real-time adjustments based on the patient's reactions or progress, thereby limiting their therapeutic value.

[007] Existing VR-based solutions have emerged to address some of these challenges. However, most of these solutions are limited in scope, offering pre-designed environments tailored to specific phobias. They often lack customization options and real-time adaptability to individual patient needs. Additionally, many existing VR systems do not integrate well with therapist tools, such as live monitoring, biofeedback analysis, and patient data management, thereby restricting the therapist’s ability to provide personalized and effective therapy. The high cost and technical complexity of these VR solutions make them inaccessible for many clinics and therapists, further hindering their widespread adoption.

[008] In the light of the aforementioned discussion, there is a need for a comprehensive, customizable, and accessible VR-based therapy platform that can provide immersive environments tailored to individual patient profiles. Such a system should incorporate real-time data analysis, allow for therapist control, and integrate seamlessly with existing therapeutic tools, thereby overcoming the limitations of traditional therapy methods and existing VR solutions.

SUMMARY
[009] The following presents a simplified summary of the disclosure in order to provide a basic understanding to the reader. This summary is not an extensive overview of the disclosure and it does not identify key/critical elements of the invention or delineate the scope of the invention. Its sole purpose is to present some concepts disclosed herein in a simplified form as a prelude to the more detailed description that is presented later.

[0010] Exemplary embodiments of the present disclosure are directed towards a system and method for personalized virtual reality therapy using AI-enabled environments and real-time data analysis.

[0011] An objective of the present disclosure is directed towards a system that enables mental health professionals to seamlessly combine various VR environments and languages through the system's audio-visual repository, empowering therapists to apply a wide range of therapeutic techniques tailored to individual patient needs.

[0012] Another objective of the present disclosure is directed towards a system that allows therapists to control the therapy environment based on the patient's unique characteristics, thereby eliminating logistical constraints found in traditional methods and enhancing the effectiveness of treatment.

[0013] Another objective of the present disclosure is directed towards a system that enables therapists to repeat specific scenes within the VR platform as needed, ensuring a consistent and adaptable therapeutic approach that eliminates interference and uncontrollable variables present in real-world settings.

[0014] Another objective of the present disclosure is directed towards a system that is user-friendly and accessible without the need for installation or technical expertise, allowing therapists to operate the platform on basic smartphones, thereby supporting a range of therapeutic techniques, including gradual exposure, mindfulness, relaxation, and psychoeducation.

[0015] Another objective of the present disclosure is directed towards a system that offers a comprehensive catalog of virtual reality experiences in the audio-visual repository, covering conditions ranging from general anxiety to specific phobias, and enables therapists to choose and customize environments with different variations and grades through a web interface.

[0016] Another objective of the present disclosure is directed towards a system that enables therapists to fully control the patient's immersive experience, including the ability to pause, play, change the voice-over language, and select specific variations or levels of therapy.

[0017] Another objective of the present disclosure is directed towards a system that increases therapist efficiency by offering a reliable and standardized therapeutic experience, using the AI-enabled VR platform to provide a consistent, high-quality approach to therapy, enhancing treatment outcomes.

[0018] Another objective of the present disclosure is directed towards a system that is designed to work with Android OS-based VR devices, allowing for adjustments based on the specific version of the operating system and the make or model of the VR device.

[0019] Another objective of the present disclosure is directed towards a system that operates as a Software as a Service (SaaS) platform, thus requiring internet connectivity to function effectively.

[0020] Another objective of the present disclosure is directed towards a system that does not depend on high-configuration devices, allowing therapists to access and operate the web-based portal on any standard PC for choosing, enabling, and controlling patients' VR experiences.

[0021] Another objective of the present disclosure is directed towards a system that enables therapists to detect patient discomfort, such as dizziness or vertigo, during VR sessions and stop the session immediately to ensure patient safety.

[0022] Another objective of the present disclosure is directed towards a system that introduces a new process for delivering exposure therapy through VR technology, which includes specific steps such as selecting therapeutic environments, live monitoring, controlling therapy sessions, integrating biofeedback, and generating AI-driven summaries.

[0023] Another objective of the present disclosure is directed towards a system that consists of both a web-based interface for therapists and a VR application for patients, creating a new, integrated product specifically designed for therapeutic use in treating psychological disorders and phobias.

[0024] Another objective of the present disclosure is directed towards a system that significantly enhances the therapeutic process by uniquely combining various technologies tailored specifically for mental health treatments.

[0025] Another objective of the present disclosure is directed towards a system that offers a catalog of VR environments, dynamically adjustable to suit individual patient needs, thereby providing a standardized yet customizable therapy experience that addresses the challenges of variability and imagination in traditional guided imagery.

[0026] Another objective of the present disclosure is directed towards a system that enables therapists to have real-time control over the VR session, including pausing, playing, adjusting scenarios, and changing the voice-over language, while also allowing live monitoring of patient engagement through video feeds and gaze tracking. The system further integrates biofeedback and provides AI-generated session summaries for deeper insights into patient responses and progress.

[0027] Another objective of the present disclosure is directed towards a system that allows for safe and controlled exposure to anxiety-provoking scenarios using VR, eliminating the risks and logistical challenges associated with real-world exposure. The system provides flexibility through a variety of scenarios and intensity levels.

[0028] Another objective of the present disclosure is directed towards a system that operates as a Software as a Service (SaaS) solution, eliminating the need for high-end devices and enhancing accessibility and cost-effectiveness for clinics and therapists. The system is compatible with widely available Android OS-based VR devices and supports remote therapy sessions as long as the patient has access to a VR headset and the associated application.

[0029] Another objective of the present disclosure is directed towards a system that enhances patient engagement through the immersive nature of VR therapy, which contributes to a more effective therapeutic process. The system also allows for real-time adjustments of environments based on patient feedback, creating a more personalized therapy experience.

[0030] Another objective of the present disclosure is directed towards a system that provides a controlled and scalable means of delivering guided imagery and immersive experiences using VR, overcoming the inefficiencies and cost-prohibitive nature of in-situ and real-time exposure therapy.

[0031] Another objective of the present disclosure is directed towards a system that offers an immersive, interactive experience that engages patients in a simulated environment, addressing the limitations of imagination and creating a shared experience between the therapist and patient, which is particularly effective for exposure therapy in treating phobias, PTSD, and anxiety disorders.

[0032] Another objective of the present disclosure is directed towards a system that allows patients to practice coping mechanisms in lifelike environments, thereby promoting faster desensitization to fears or anxiety triggers, offering a more active engagement compared to the passive nature of digital therapeutics.

[0033] Another objective of the present disclosure is directed towards a system that focuses on psychological engagement rather than directly altering brain function, providing a non-invasive therapeutic approach suitable for a broader range of conditions, thereby differentiating it from neurostimulation devices like TMS or tDCS.

[0034] Another objective of the present disclosure is directed towards a system that provides a dynamic, interactive, and immersive therapy experience, which can be more effective in maintaining patient engagement and adherence to therapy, especially in cases requiring exposure to specific stimuli or environments, compared to mobile health apps.

[0035] Another objective of the present disclosure is directed towards a system that creates realistic environments actively engaging patients and offering a shared experience for both the therapist and patient, thereby providing a unique combination of psychological, behavioral, and experiential benefits that other tools and devices do not fully provide.

[0036] Another objective of the present disclosure is directed towards a system that provides a versatile platform for use in clinical settings by psychologists, psychiatrists, and therapists to treat various psychological disorders, including phobias, obsessive-compulsive disorders, addiction, substance use disorders, and generalized anxiety disorder (GAD) through immersive VR experiences.

[0037] Another objective of the present disclosure is directed towards a system that can be used in hospitality centers to provide relaxation and meditation experiences, utilizing guided imagery with soothing music and voice-over instructions in local languages for meditation.

[0038] Another objective of the present disclosure is directed towards a system that supports patients in rehabilitation centers by providing therapeutic VR environments for physical and mental rehabilitation, including stroke recovery, chronic pain management, and upper limb movement exercises.

[0039] Another objective of the present disclosure is directed towards a system that offers mental health and wellness programs for employees in corporate settings, providing virtual relaxation environments and guided meditation sessions to manage work-related stress, anxiety, and burnout.

[0040] Another objective of the present disclosure is directed towards a system that integrates into mental health services in schools, colleges, and universities, supporting students with anxiety and mild depression through stress relief programs and social skills training using VR scenarios.

[0041] Another objective of the present disclosure is directed towards a system that enhances patient care in hospitals and clinics by offering pre-surgical anxiety reduction, pain management, and relaxation during medical procedures through immersive VR environments.

[0042] Another objective of the present disclosure is directed towards a system that redefines remote therapy by integrating VR, allowing therapists to guide patients through virtual experiences from any location globally.

[0043] Another objective of the present disclosure is directed towards a system that incorporates advanced bio-feedback sensors, such as heart rate variability (HRV) and galvanic skin response (GSR), providing real-time physiological data to remote therapists to enhance virtual therapy sessions.

[0044] Another objective of the present disclosure is directed towards a system that, analyzes patient data through advancements in AI and machine learning, including bio-feedback and session performance, to automatically personalize therapy sessions, adjusting VR scenarios and exposure levels based on real-time patient responses.

[0045] Another objective of the present disclosure is directed towards a system that enables virtual support groups where patients with similar conditions can participate in shared experiences, with therapists navigating group therapy sessions as avatars within the environment.

[0046] Another objective of the present disclosure is directed towards a system that integrates with haptic feedback devices, scent dispensers, and other sensory technologies, creating a comprehensive multisensory experience to enhance immersion and therapeutic efficacy.

[0047] Another objective of the present disclosure is directed towards a system that features AI-powered virtual assistants to support therapists in session management, data analysis, and patient guidance, including conducting initial assessments, monitoring sessions, and providing real-time recommendations.

[0048] Another objective of the present disclosure is directed towards a system that provides accessible, low-cost mental health interventions at the community or public health level, including the possibility of creating mobile VR clinics for areas with limited access to traditional therapy services.

[0049] According to an exemplary aspect of the present disclosure, a database storing patient information and therapy history, wherein the database includes a data processing unit configured to process patient data, and wherein the database is in communication with a recommendation engine, the recommendation engine is configured to receive processed patient data and generate personalized VR experience plans using machine learning (ML) analysis, executed by an ML processor, whereby the recommendation engine utilizes natural language processing (NLP) to analyze therapist input through a natural language interface.

[0050] According to another exemplary aspect of the present disclosure, an audio-visual repository storing immersive content, comprising a content management system with metadata tagging, configured to provide personalized audio-visual experiences tailored to individual patient needs by matching patient profiles with corresponding content attributes.

[0051] According to another exemplary aspect of the present disclosure, a virtual therapy room module, comprising a real-time communication platform and a secure data transmission protocol, facilitates remote therapy sessions, thereby enabling therapists to conduct sessions with patients in diverse geographic locations through a graphical user interface.

[0052] According to another exemplary aspect of the present disclosure, an AI environment generation module, comprising a text-to-scene converter and a 3D rendering engine, converts text prompts into immersive 3D experiences, thereby creating dynamic and adaptive environments for personalized therapy through generative modelling.

[0053] According to another exemplary aspect of the present disclosure, a data analytics module, comprising, a data aggregator connected to the virtual therapy room module and the group therapy module, receiving biofeedback and viewing data through an application programming interface (APIs).

[0054] According to another exemplary aspect of the present disclosure, a visualization engine, coupled to the data aggregator, processes the received data to generate heatmaps and summaries, thereby enabling real-time monitoring and control of VR experiences by therapists through a user interface.

BRIEF DESCRIPTION OF THE DRAWINGS
[0055] In the following, numerous specific details are set forth to provide a thorough description of various embodiments. Certain embodiments may be practiced without these specific details or with some variations in detail. In some instances, certain features are described in less detail so as not to obscure other aspects. The level of detail associated with each of the elements or features should not be construed to qualify the novelty or importance of one feature over the others.

[0056] FIG. 1 is a block diagram depicting a schematic representation of a system for virtual reality (VR) therapy, in accordance with one or more exemplary embodiments.

[0057] FIG. 2 is a block diagram depicting an embodiment of the virtual reality (VR) therapy assisting module 108 as shown in Figure 1, in accordance with one or more exemplary embodiments.

[0058] FIG. 3 is a block diagram depicting an embodiment of the virtual reality (VR) therapy data monitoring and analyzing module 114 as shown in Figure 1, in accordance with one or more exemplary embodiments.

[0059] FIG. 4 is a block diagram depicting an embodiment of the virtual therapy room module 202 as shown in Figure 2, in accordance with one or more exemplary embodiments.

[0060] FIG. 5 is a block diagram depicting an embodiment of the Group Therapy Module 204 as shown in Figure 2, in accordance with one or more exemplary embodiments.

[0061] FIG. 6 is a block diagram depicting an embodiment of the data analytics module 206 as shown in Figure 2, in accordance with one or more exemplary embodiments.

[0062] FIG. 7 is a block diagram depicting an embodiment of the patient data management module 302 as shown in Figure 3, in accordance with one or more exemplary embodiments.

[0063] FIG. 8 is a block diagram depicting an embodiment of the Audio-Visual Content Management Module 304 as shown in Figure 3, in accordance with one or more exemplary embodiments.

[0064] FIG. 9 is a block diagram depicting an embodiment of the AI Environment Generation Module 306 as shown in Figure 3, in accordance with one or more exemplary embodiments.

[0065] FIG. 10 is a block diagram depicting an embodiment of the Data Analytics Module 308 as shown in Figure 3, in accordance with one or more exemplary embodiments.

[0066] FIG. 11 is a block diagram depicting an embodiment of the system for virtual reality (VR) therapy, in accordance with one or more exemplary embodiments.

[0067] FIG. 12 is a block diagram depicting another embodiment of the system for virtual reality (VR) therapy, in accordance with one or more exemplary embodiments.

[0068] FIG. 13 is an example diagram 1300 depicting a graphical user interface for booking a virtual reality (VR) therapy session, and the selection of therapy environments based on patient details and therapy objectives, in accordance with one or more exemplary embodiments.

[0069] FIG. 14 is an example diagram 1400 depicting the selection of therapy sessions and the personalized plan created based on patient needs, including various VR experiences categorized by session, in accordance with one or more exemplary embodiments.

[0070] FIG. 15 is an example diagram 1500 depicting a patient's VR therapy plan, providing a summary of selected experiences categorized by therapy type, language, and completion status, in accordance with one or more exemplary embodiments.

[0071] FIG. 16 is a flow diagram depicting a method for providing virtual reality (VR) therapy using the system's web-based platform integrated with the virtual reality (VR) therapy assisting module, in accordance with one or more exemplary embodiments.

[0072] FIG. 17 is a flow diagram depicting a method for initiating and providing a virtual reality (VR) therapy session using the virtual reality (VR) therapy assisting module on the VR device, in accordance with one or more exemplary embodiments.

[0073] FIG. 18 is a flow diagram depicting a method providing virtual reality (VR) therapy, in accordance with one or more exemplary embodiments.

[0074] FIG. 19 is a flow diagram depicting a method for initiating and conducting a virtual reality (VR) therapy session using the system's web-based platform integrated with the VR therapy assisting module, in accordance with one or more exemplary embodiments.

[0075] FIG. 20 is a block diagram illustrating the details of a digital processing system in which various aspects of the present disclosure are operative by execution of appropriate software instructions.

DETAILED DESCRIPTION OF EXAMPLE EMBODIMENTS
[0076] It is to be understood that the present disclosure is not limited in its application to the details of construction and the arrangement of components set forth in the following description or illustrated in the drawings. The present disclosure is capable of other embodiments and of being practiced or of being carried out in various ways. Also, it is to be understood that the phraseology and terminology used herein is for the purpose of description and should not be regarded as limiting.

[0077] The use of “including”, “comprising” or “having” and variations thereof herein is meant to encompass the items listed thereafter and equivalents thereof as well as additional items. The terms “a” and “an” herein do not denote a limitation of quantity, but rather denote the presence of at least one of the referenced items. Further, the use of terms “first”, “second”, and “third”, and the like, herein do not denote any order, quantity, or importance, but rather are used to distinguish one element from another.

[0078] Referring to FIG. 1 is a block diagram depicting a schematic representation of a system for virtual reality (VR) therapy, in accordance with one or more exemplary embodiments. The system 100 includes a first computing device 102, a second computing device 104, a processor 103, a memory 106, a virtual reality (VR) therapy assisting module 108, a network 110, a server 112, a virtual reality (VR) therapy data monitoring and analyzing module 114, a database 116, a virtual reality (VR) device 118 and application programming interfaces (APIs) 120.

[0079] The first and second computing devices 102 and 104 may include, but is not limited to, a personal digital assistant, smartphones, personal computers, a mobile station, computing tablets, a handheld device, an internet enabled calling device, an internet enabled calling software, a telephone, a mobile phone, a digital processing system, and so forth. The first and second computing devices 102 and 104 may include the processor 103 in communication with a memory 106. The processor 103 may be a central processing unit. The memory 106 is a combination of flash memory and random-access memory. The processor 103 may execute instructions and process data within the system.

[0080] The memory 106 may be configured to store program instructions, data, and temporary information needed for system operations. The first and second computing devices 102 and 104 may be communicatively connected with the server 112 via the network 110 The network 110 may include, but not limited to, an Internet of things (IoT network devices), an Ethernet, a wireless local area network (WLAN), or a wide area network (WAN), a Bluetooth low energy network, a ZigBee network, a WIFI communication network e.g., the wireless high speed internet, or a combination of networks, a cellular service such as a 4G (e.g., LTE, mobile WiMAX) or 5G cellular data service, a RFID module, a NFC module, wired cables, such as the world-wide-web based Internet, or other types of networks may include Transport Control Protocol/Internet Protocol (TCP/IP) or device addresses (e.g. network-based MAC addresses, or those provided in a proprietary networking protocol, such as Modbus TCP, or by using appropriate data feeds to obtain data from various web services, including retrieving XML data from an HTTP address, then traversing the XML for a particular node) and so forth without limiting the scope of the present disclosure.

[0081] Although the first and second computing devices 102 and 104 are shown in FIG. 1a, an embodiment of the system 100a may support any number of computing devices. The first and second computing devices 102 and 104 supported by the system 100a is realized as a computer-implemented or computer-based device having the hardware or firmware, software, and/or processing logic needed to carry out the computer-implemented methodologies described in more detail herein.

[0082] The virtual reality (VR) therapy assisting module 108 may be any suitable applications downloaded from GOOGLE PLAY® (for Google Android devices), Apple Inc.'s APP STORE® (for Apple devices), or any other suitable database. The virtual reality (VR) therapy assisting module 108 may be a desktop application which runs on Windows or Linux or any other operating system and may be downloaded from a webpage or a CD/USB stick etc. In some embodiments, the virtual reality (VR) therapy assisting module 108 may be software, firmware, or hardware that is integrated into the computing devices 102 and 104. The computing devices 102 and 104 may present a web page to the user by way of a browser, wherein the webpage comprises a hyper-link may direct the user to uniform resource locator (URL).

[0083] The first computing device 102 may include the patient's device. The first computing device 102 may include the processor 103 and the memory 106. The memory 106 stores the virtual reality (VR) therapy assisting module 108. The virtual reality (VR) therapy assisting module 108 may be configured to provide the patient with immersive VR therapy experiences tailored to their specific needs. The virtual reality (VR) therapy assisting module 108 may be configured to adjust therapy environments dynamically based on patient feedback, facilitating personalized therapy sessions. Additionally, the first computing device 102 interacts directly with the virtual reality (VR) device 118 to deliver these tailored therapy experiences effectively.

[0084] The second computing device 104 operates as the therapist’s interface. The second computing device 104 comprises the processor 103 and the memory 106, where the memory 106 stores the virtual reality (VR) therapy assisting module 108. This virtual reality (VR) therapy assisting module 108 enables therapists to control various aspects of the VR therapy sessions, including selecting therapy environments, adjusting scenarios, changing voice-over languages, and monitoring patient engagement in real time. The virtual reality (VR) therapy assisting module 108 may be configured to provide therapists with live feedback and analysis, offering data related to patient responses and progress, which assists in refining and customizing the therapy process. The second computing device 104 serves as a platform for therapists to select therapeutic content and modify the experience to address the patient's psychological conditions, anxiety levels, or specific phobias.

[0085] The network 110 establishes a communication link between the first computing device 102, the second computing device 104, the server 112, and the virtual reality (VR) device 118. This connection facilitates seamless data exchange and communication, allowing for real-time remote therapy sessions where the therapist can monitor and guide the patient's experience. The network 110 supports the implementation of virtual therapy sessions, group therapy environments, and real-time adjustments even when the patient and therapist are in different geographical locations. Furthermore, it enables the secure transfer of patient data to and from the server, contributing to the adaptability and overall effectiveness of the therapy process.

[0086] The server 112 may include the virtual reality (VR) therapy data monitoring and analyzing module 114. The virtual reality (VR) therapy data monitoring and analyzing module 114 may collect, analyze, and store patient data, including therapy history, biofeedback metrics, and real-time session information. The server 112 may utilize advanced processing techniques such as machine learning and natural language processing to analyze this data and generate insights for the therapist. The database 116 connected with the server 112 stores comprehensive patient profiles, therapy sessions, personalized therapy plans, and other relevant data. This centralized data storage ensures secure, efficient access to patient information, enabling the system to provide tailored therapy recommendations and monitor patient progress over time.

[0087] The virtual reality (VR) device 118 functions as the medium through which patients experience immersive therapy environments. The virtual reality (VR) device 118 presents various virtual scenarios designed to address a wide range of psychological conditions, including phobias, anxiety disorders, and addiction triggers. The virtual reality (VR) device 118 works in conjunction with the first computing device 102 to deliver these environments, facilitating a highly engaging and effective therapeutic experience. Through interaction with the environment, the patient actively participates in the therapy, which can lead to more effective treatment outcomes compared to traditional therapy methods.

[0088] The application programming interfaces (APIs) 120 facilitate communication and data exchange among the system components. These APIs enable the virtual reality (VR) therapy assisting modules 108, the VR therapy data monitoring and analyzing module 114, and the database 116 to interact efficiently. The APIs also support integration with external systems, such as biofeedback sensors and electronic health records (EHRs), enhancing the system's ability to provide personalized and effective therapy. Additionally, they allow the therapist to control therapy environments and monitor patient data, ensuring that the therapy is comprehensive and tailored to each patient's unique requirements.

[0089] The first computing device 102 initiates a therapy session by connecting to the virtual reality (VR) device 118. The second computing device 104 provides the therapist with the capability to control and adjust the session in real-time using the network 110. Throughout the session, the server 112 collects data on patient interactions and biofeedback, processes this information through the virtual reality (VR) therapy data monitoring and analyzing module 114, and stores it in the database 116. This approach ensures that each therapy session is adaptive and data-driven, customized to the patient's psychological profile and needs, thereby enhancing therapeutic outcomes. The system 100 ultimately offers a versatile and dynamic platform for delivering immersive VR therapy experiences in a controlled, efficient, and patient-centric manner.

[0090] Referring to FIG. 2 is a block diagram 200 depicting an embodiment of the virtual reality (VR) therapy assisting module 108 as shown in Figure 1, in accordance with one or more exemplary embodiments. The virtual reality (VR) therapy assisting module 108 includes a virtual therapy room module 202, a group therapy module 204, and a data analytics module 206.

[0091] The virtual therapy room module 202 may be configured to create immersive environments for conducting personalized therapy sessions. The virtual therapy room module 202 allows therapists to control various aspects of the session, including selecting virtual environments, adjusting scenarios, changing voice-over language, and monitoring patient engagement. This flexibility enables a standardized yet customizable experience, addressing the challenges of traditional therapy methods. The virtual therapy room module 202 may further provide a focused and controlled therapeutic environment, helping to enhance the effectiveness of treatments for psychological conditions such as phobias, anxiety disorders, and addiction.

[0092] The group therapy module 204 may be configured to facilitate interactions between multiple patients within shared virtual environments. The module enables virtual group therapy sessions, allowing patients with similar conditions to participate in a common therapy environment. The group therapy module 204 may also allow the therapist to guide the session, providing support while maintaining a level of anonymity for patients. This functionality provides a safe, flexible, and supportive setting for collaborative learning and shared experiences, which is particularly beneficial for addressing conditions like social anxiety.

[0093] The data analytics module 206 may be configured to collect and analyze data generated during therapy sessions conducted in both the virtual therapy room module 202 and group therapy module 204. The data analytics module 206 processes patient interactions, engagement metrics, and other relevant data to generate insights and summaries for the therapist. The data analytics module 206 may track the patient's progress over time, helping therapists identify patterns and adjust therapy plans accordingly. The data analytics module 206 may provide real-time feedback, enhancing the therapy process by allowing for data-driven, personalized adjustments to each patient's treatment.

[0094] Referring to FIG. 3 is a block diagram 300 depicting an embodiment of the virtual reality (VR) therapy data monitoring and analyzing module 114 as shown in Figure 1, in accordance with one or more exemplary embodiments. The virtual reality (VR) therapy data monitoring and analyzing module 114 includes a patient data management module 302, an audio-visual content management module 304, an AI environment generation module 306, a data analytics module 308, and a graphical user interface module 310.

[0095] The patient data management module 302 may be configured to handle the collection, storage, and processing of patient information, including therapy history, session details, and personal preferences. The patient data management module 302 may be configured to facilitate the creation of personalized therapy plans based on the patient's psychological profile, such as their unique conditions, therapy goals, and progress. The patient data management module 302 may be configured to enable therapists to access and update patient data in real-time, supporting a more tailored therapeutic approach. By managing patient profiles and storing therapy-related data, the patient data management module 302 aligns with the system’s objective of providing personalized virtual reality therapy experiences and monitoring progress over time.

[0096] The audio-visual content management module 304 may be configured to manage and organize the immersive content used in therapy sessions. The audio-visual content management module 304 includes a repository of audio-visual elements such as virtual environments, soothing audio tracks, and voice-over instructions in various languages. The audio-visual content management module 304 allows for the selection and customization of content based on the patient's needs, providing therapists with the flexibility to choose appropriate environments for exposure therapy, relaxation, or mindfulness exercises. Additionally, the audio-visual content management module 304 supports dynamic content pairing, such as matching visual elements with appropriate audio tracks to evoke specific emotions. This capability addresses the objective of delivering an immersive and customizable therapy experience.

[0097] The AI environment generation module 306 may be configured to create and adapt virtual therapy environments based on therapist input and patient interactions. Using artificial intelligence techniques. The AI environment generation module 306 may be configured to convert text prompts into immersive 3D scenes, enabling therapists to generate personalized therapy scenarios quickly. The AI environment generation module 306 may also utilize natural language processing (NLP) to interpret therapist inputs, adjusting the virtual environment in real time during the therapy session. This dynamic environment creation supports various therapy techniques, including gradual exposure and guided relaxation, aligning to provide flexible and personalized therapy experiences.

[0098] The data analytics module 308 may be configured to collect and analyze data generated during therapy sessions. The data analytics module 308 may be configured to aggregate information from patient interactions, biofeedback sensors, and therapy outcomes to provide therapists with detailed insights into patient responses. The data analytics module 308 may be configured to generate reports, including heatmaps of patient focus areas and summaries of engagement levels, helping therapists identify patterns and monitor progress. Furthermore, the data analytics module 308 may employ predictive modeling to forecast patient responses, aiding therapists in making data-driven adjustments to therapy plans. This aligns with the system's objective of enhancing therapeutic efficacy through real-time feedback and detailed analysis.

[0099] Referring to FIG. 4 is a block diagram 400 depicting an embodiment of the virtual therapy room module 202 as shown in Figure 2, in accordance with one or more exemplary embodiments. The virtual therapy room module 202 includes a real-time communication platform 402, a secure data transmission protocol 404, and a graphical user interface 406.

[00100] The real-time communication platform 402 may be configured to facilitate seamless interaction between the therapist and the patient during therapy sessions. The real-time communication platform 402 may be configured to enable live monitoring, feedback, and guidance by allowing therapists to observe and control the virtual environment as the session progresses. The real-time communication platform 402 may support functionalities such as pausing, resuming, or adjusting the therapy scenarios in real time based on patient responses. This capability aligns with the objective of providing a dynamic and adaptable therapy experience, enabling therapists to make immediate modifications according to the patient's psychological condition and level of engagement. Additionally, the real-time communication platform 402 may support audio and visual communication, creating an interactive environment that enhances the therapeutic process, which is particularly useful in exposure therapy and guided relaxation exercises.

[00101] The secure data transmission protocol 404 may be configured to ensure that all data exchanged during the therapy sessions is transmitted securely between the patient's device, the therapist's device, and the server. This includes real-time communication data, patient interactions, biofeedback information, and any adjustments made by the therapist. By implementing encryption and other security measures, the secure data transmission protocol 404 protects patient confidentiality and maintains the integrity of the therapy session data. This security measure is crucial for compliance with privacy regulations in healthcare and supports the system's objective of providing a safe and trustworthy virtual therapy platform.

[00102] The graphical user interface 406 may be configured to provide an intuitive and interactive control panel for therapists. Through this interface, therapists can select therapy environments, control session parameters, monitor patient engagement, and access real-time feedback data. The graphical user interface 406 enables therapists to visualize patient responses, biofeedback metrics, and other relevant data, helping them to make informed decisions and adjustments during the therapy session. By offering a user-friendly and accessible interface, the graphical user interface 406 enhances the overall effectiveness of the therapy process, allowing therapists to manage sessions efficiently and provide a personalized therapeutic experience tailored to each patient's needs.

[00103] Referring to FIG. 5 is a block diagram 500 depicting an embodiment of the group therapy module 204 as shown in Figure 2, in accordance with one or more exemplary embodiments. The group therapy module 204 includes a multi-user platform 502, and an anonymization module 504.

[00104] The multi-user platform 502 may be configured to facilitate interactions between multiple patients in a shared virtual environment. The multi-user platform 502 may be configured to allow patients to participate in group therapy sessions, where they can interact and communicate with others experiencing similar conditions. The multi-user platform 502 supports virtual environments tailored for group therapy, such as nature-based soothing settings or specially designed rooms for exposure therapy. The multi-user platform 502 may be configured to enable therapists to guide the sessions, allowing them to create a collaborative learning experience where patients can share and learn from one another. The multi-user platform 502 enhances the therapeutic process by providing an additional layer of social interaction, which is beneficial in addressing conditions like social anxiety, phobias, and other mental health issues that benefit from group support. The multi-user platform 502 may flexibly support various group therapy modalities, offering real-time adjustments and interactions within the virtual setting.

[00105] The anonymization module 504 may be configured to maintain the privacy and anonymity of patients participating in group therapy sessions. The anonymization module 504 ensures that all patient data and interactions within the virtual environment are anonymized, providing a safe and confidential space for patients to share their experiences without fear of exposure. The anonymization module 504 may employ techniques such as data encryption and tokenization to protect patient identities and secure sensitive information. By incorporating anonymity into group therapy, the anonymization module 504 addresses concerns related to privacy, encouraging patients to participate more openly and effectively in the therapy process. The anonymization module 504 may align with the system's objective of creating a supportive environment that fosters open communication and shared experiences, critical for the success of group therapy sessions. Together, the multi-user platform 502 and the anonymization module 504 within the group therapy module 204 provide a secure, interactive, and collaborative virtual environment. This module enables therapists to conduct group therapy sessions that are both engaging and respectful of patient privacy, enhancing the overall therapeutic experience and allowing patients to benefit from shared learning and support.

[00106] Referring to FIG. 6 is a block diagram 600 depicting an embodiment of the data analytics module 206 as shown in Figure 2, in accordance with one or more exemplary embodiments. The data analytics module includes APIs (Application Programming Interfaces) 602. The APIs 602 may be configured to facilitate the interaction between the data analytics module 206 and other components within the virtual reality (VR) therapy system. These APIs enable the collection, exchange, and processing of various types of data generated during therapy sessions. This includes patient interaction data, biofeedback information, therapy session parameters, and other relevant metrics necessary for analysis and reporting. By serving as an interface for data transmission, APIs 602 ensures that the data analytics module 206 can seamlessly aggregate data from multiple sources, including the virtual therapy room module, the group therapy module, and the patient data management module. The APIs 602 also allow the data analytics module 206 to communicate with external systems, such as electronic health records (EHRs) and biofeedback sensors, for enhanced data collection and integration. This capability supports the system's objective of creating a data-driven, personalized therapy experience by providing therapists with real-time insights into patient engagement, physiological responses, and therapy outcomes. Additionally, the APIs 602 enable the module to generate comprehensive reports, visualizations, and predictive models that inform the therapist's decision-making process. By facilitating secure and efficient data exchange, the APIs 602 within the data analytics module 206 contributes to the overall adaptability and effectiveness of the therapy system, ensuring that patient data is leveraged to optimize therapy plans and enhance therapeutic outcomes.

[00107] Referring to FIG. 7 is a block diagram 700 depicting an embodiment of the patient data management module 302 as shown in Figure 3, in accordance with one or more exemplary embodiments. The patient data management module 302 includes a natural language interface (NLI) 702, a machine learning (ML) processor 704, a recommendation engine 706, a data processing unit 708, and a database 710.

[00108] The natural language interface (NLI) 702 may be configured to facilitate seamless communication between the therapist and the patient data management module 302. The NLI 702 allows therapists to input information, queries, or commands using natural language, which the system can interpret and process. This capability enables the therapist to describe patient conditions, therapy preferences, and session outcomes without needing specialized programming knowledge. The NLI 702 also interprets therapist inputs to assist in configuring personalized therapy plans based on the patient's condition, preferred language, and therapy goals. By converting human language into data that can be processed by the system, the NLI 702 enhances the user experience and supports the objective of creating a user-friendly platform for managing patient information. The machine learning (ML) processor 704 may be configured to analyze patient data and identify patterns that can be used to inform therapy plans. By employing machine learning algorithms, the ML processor 704 processes historical therapy data, patient interactions, and biofeedback to generate insights into individual patient progress and responses. These insights assist the recommendation engine 706 in formulating tailored therapy plans. The ML processor 704 continuously learns from new data, refining its analytical models to improve the accuracy and effectiveness of therapy recommendations over time. This component supports the system's objective of providing data-driven, adaptive therapy that evolves with the patient's needs. The recommendation engine 706 may be configured to generate personalized virtual reality (VR) therapy plans for each patient. Based on the analysis conducted by the ML processor 704 and the inputs received through the NLI 702, the recommendation engine 706 selects appropriate VR therapy environments, scenarios, and content that align with the patient's psychological profile. It takes into account factors such as therapy history, patient preferences, and engagement levels to recommend a sequence of therapy sessions. The therapist can review, edit, and approve these recommended plans, ensuring they are aligned with the patient's therapeutic goals.

[00109] The data processing unit 708 may be configured to handle the aggregation, filtering, and processing of patient data received from various sources, including therapy sessions and biofeedback sensors. It prepares the data for analysis by the ML processor 704 and the recommendation engine 706, ensuring that only relevant information is considered in generating therapy plans. The data processing unit 708 also updates patient records with new data from each therapy session, enabling a comprehensive view of the patient's progress. This functionality ensures that the patient data is organized and readily available for ongoing analysis and therapy adjustments, aligning with the system's goal of maintaining a holistic and data-driven approach to mental health treatment. The database 710 may be configured to store all relevant patient information, including personal profiles, therapy history, session outcomes, and biofeedback data. It acts as a central repository that supports the patient data management module 302, providing secure and efficient access to patient records for analysis and therapy planning. The database 710 also stores the various therapy plans generated by the recommendation engine 706, enabling the system to track each patient's progress over time and make data-backed recommendations. By maintaining a detailed record of patient interactions and therapy sessions, the database 710 supports the system's objective of offering personalized, adaptive therapy that evolves with each patient's needs. Collectively, the natural language interface 702, machine learning (ML) processor 704, recommendation engine 706, data processing unit 708, and database 710 work in harmony within the patient data management module 302 to provide a comprehensive and adaptable approach to managing patient information

[00110] Referring to FIG. 8 is a block diagram 800 depicting an embodiment of the audio-visual content management module 304 as shown in Figure 3, in accordance with one or more exemplary embodiments. The audio-visual content management module 304 includes an audio-visual repository 802, and a content management system with metadata tagging 804.

[00111] The audio-visual repository 802 may be configured to store a wide range of immersive content used during virtual reality (VR) therapy sessions. This content includes various virtual environments, audio tracks, soothing music, voice-over instructions in multiple languages, and other media tailored to meet diverse therapeutic needs. The audio-visual repository 802 enables therapists to select and customize content for different therapy modalities, such as exposure therapy, mindfulness, relaxation, and systematic desensitization. By providing a diverse catalog of virtual experiences, the audio-visual repository 802 facilitates personalized therapy sessions that can be adjusted based on the patient’s specific conditions and preferences. This aligns with the system's objective of offering a flexible and adaptable platform for mental health treatments. The content management system with metadata tagging 804 may be configured to organize and manage the audio-visual content within the repository 802. The content management system with metadata tagging 804 may use metadata tagging to classify and index the content based on various attributes, such as therapy type, target emotion, language, and duration. For instance, virtual environments can be tagged as "Relaxation," "Meditation," or "Exposure Therapy," while audio tracks can be tagged according to their emotional tone or cultural relevance. This tagging system enables the recommendation engine within the system to quickly match patient profiles with appropriate therapy content. Additionally, the content management system 804 allows therapists to search for, filter, and select content efficiently, enhancing their ability to provide tailored therapy experiences. By facilitating dynamic content pairing and real-time adjustments to the therapy session, the content management system with metadata tagging 804 supports the overall objective of creating an immersive and engaging therapeutic environment.

[00112] Referring to FIG. 9 is a block diagram 900 depicting an embodiment of the AI environment generation module 306 as shown in Figure 3, in accordance with one or more exemplary embodiments. The AI environment generation module 306 includes a text-to-scene converter 902, a 3d rendering engine 904, and a generative modelling 906.

[00113] The text-to-scene converter 902 may be configured to interpret textual input provided by the therapist and convert it into a corresponding virtual environment. The text-to-scene converter 902 may use natural language processing (NLP) techniques to understand the context, elements, and features described in the text input. For example, if a therapist inputs a prompt such as "a serene forest with gentle streams and birds chirping," the text-to-scene converter 902 interprets this description and identifies the necessary elements (e.g., trees, streams, sounds) to be incorporated into the virtual scene. By allowing therapists to create customized environments using natural language, the text-to-scene converter 902 facilitates personalized therapy sessions tailored to each patient's needs. This capability aligns with the system's objective of providing dynamic and adaptable VR environments for various therapeutic techniques, such as exposure therapy and relaxation exercises.

[00114] The 3D rendering engine 904 may be configured to generate high-quality, immersive 3D scenes based on the input from the text-to-scene converter 902 and the generative modeling 906. The 3D rendering engine 904 processes the information and constructs a detailed virtual environment that patients can experience through VR devices. The 3D rendering engine 904 manages aspects such as lighting, textures, and spatial arrangement to ensure that the virtual environment is as realistic and engaging as possible. This immersion is crucial for creating effective therapy experiences, particularly in scenarios that require lifelike simulations, such as addressing phobias or practicing social interactions. The engine enables the system to adapt to real-time changes or adjustments specified by the therapist, ensuring that the virtual environment can be fine-tuned during therapy sessions for optimal patient engagement and therapeutic outcomes.

[00115] The generative modelling 906 may be configured may be configured to use artificial intelligence (AI) algorithms to enhance the virtual environment creation process. It works in conjunction with the text-to-scene converter 902 and the 3D rendering engine 904 to introduce dynamic, adaptive elements into the virtual scenes. For example, generative modeling 906 can create variations of the same environment, such as changing the weather, time of day, or adding interactive elements to simulate different scenarios within the same virtual setting. This flexibility allows for the customization of therapy environments based on the patient’s progress and the specific requirements of each session. By incorporating generative modeling, the system can offer a wide range of therapy experiences, providing therapists with the tools needed to address diverse psychological conditions effectively. Together, the text-to-scene converter 902, the 3D rendering engine 904, and generative modeling 906 within the AI environment generation module 306 work cohesively to create, adapt, and render immersive virtual environments.

[00116] Referring to FIG. 10 is a block diagram 1000 depicting an embodiment of the data analytics module 308 as shown in Figure 3, in accordance with one or more exemplary embodiments. The data analytics module 308 includes a data aggregator 1002, and a visualization engine 1004. The data aggregator 1002 may be configured to collect and compile data from various sources within the virtual reality (VR) therapy system. This data includes patient interaction metrics, biofeedback information, session parameters, and real-time responses captured during therapy sessions. The data aggregator 1002 integrates information from multiple modules, such as the virtual therapy room, group therapy, and patient data management modules, using application programming interfaces (APIs). It processes this data to generate comprehensive datasets that provide insights into the patient's engagement, progress, and overall response to the therapy. By compiling data from diverse sources, the data aggregator 1002 creates a unified dataset that supports advanced analysis and decision-making, allowing therapists to adapt therapy plans according to the evolving needs of each patient. The visualization engine 1004 may be configured to process the aggregated data and generate visual representations, such as graphs, charts, heatmaps, and summaries, that therapists can use to monitor patient progress and engagement. It translates complex datasets into easy-to-understand visual formats, providing therapists with real-time feedback on patient performance and physiological responses. For example, the visualization engine 1004 can display heatmaps showing which parts of a virtual environment the patient focused on during the session, or it can create graphs depicting changes in the patient's biofeedback metrics over time. This functionality enables therapists to identify patterns, monitor the effectiveness of therapy sessions, and make data-driven decisions to optimize therapy plans. By offering intuitive and accessible visualizations, the visualization engine 1004 enhances the overall therapeutic process, empowering therapists to track patient outcomes effectively.

[00117] Referring to FIG. 11 is a block diagram depicting an embodiment of the system for virtual reality (VR) therapy, in accordance with one or more exemplary embodiments. The system may be configured to provide a seamless VR therapy experience by integrating various components such as VR devices, web services, cloud storage, and communication protocols. The system may include different client devices such as a VR device 1102, web browser 1104, and mobile device 1106. The VR device 1102 may be configured to pair with the system to facilitate therapy sessions. This pairing process involves establishing a connection between the VR device and the system, allowing for the selection of therapy environments and languages that suit the patient's specific needs. The web browser 1104 and mobile device 1106 may be configured to serve as therapist interfaces, enabling the selection and customization of therapy environments as well as real-time patient monitoring. The system may utilize a Content Delivery Network (CDN) cache 1108 to ensure quick and efficient delivery of media files and therapy content, minimizing latency during sessions. A Domain Name System (DNS) 1110 may be configured to direct requests from the client devices to appropriate servers within the system. Upon receiving a request, the Load Balancer may be configured to distribute incoming network traffic evenly across multiple Virtual Machines (VMs) to optimize resource utilization and ensure reliability. This load-balancing capability is critical for maintaining system performance, especially during high-traffic periods when multiple patients and therapists are accessing therapy content.

[00118] The system may include several Virtual Machines (VMs), each configured to perform specific functions. The MQTT (Message Queuing Telemetry Transport) VM 1112 may handle real-time messaging, facilitating communication between the client devices and the server. This VM may support instant notifications and updates, such as alerts to therapists regarding patient responses or session progress. The WebSocket Server VM 1114 may be configured to enable two-way communication between the system and client devices, providing a platform for real-time adjustments during therapy sessions, such as pausing, resuming, or changing environments as needed. The HTTP(s) VM 1116 may be responsible for securely managing data transmissions, ensuring that patient data is encrypted and protected during transfer between client devices and the server. The system may employ Cloud Storage 1118 to store therapy content, patient data, and session statistics. The Media Files 1120 within the cloud storage may include a diverse range of audio-visual content used during therapy sessions, allowing therapists to select and tailor experiences to the patient's unique requirements. A Content Filter 1122 may be configured to process and verify media files before storing them in S3 Storage 1124, ensuring that the content meets therapy standards and privacy regulations. This cloud infrastructure supports the system's adaptability, enabling therapists to provide a variety of therapy environments without requiring local storage on the client's devices.

[00119] The system may include a DB Cache 1126 and a Relational Database 1128, configured to optimize the storage and retrieval of patient information, therapy history, and session data. The DB Cache 1126 may temporarily store frequently accessed data, providing quick access to patient profiles and session logs. The Relational Database 1128 may maintain structured data, supporting comprehensive storage of patient statistics, including view areas within the virtual environment and emotional states observed during therapy. This storage architecture allows therapists to monitor patient progress and adjust therapy plans to meet the specific needs of each patient. The system may leverage Web Services 1130, which may include SMS/Mobile Push Notifications, Email Notifications, a Message Queue, and a Monitoring Dashboard. These web services may be configured to facilitate real-time communication and coordination between the system components. The SMS/Mobile Push Notifications and Email Notifications services may send alerts to both patients and therapists, such as reminders for upcoming sessions or notifications regarding patient engagement. The Message Queue may manage asynchronous data transmission between modules, ensuring reliable communication for updates and data processing. The Monitoring Dashboard may be configured to provide therapists with an overview of system status, patient activity, and therapy session metrics, supporting the observation and control of therapy environments in real-time. The workflow of using the system for therapy may include simple steps to enhance the user experience. Therapists may begin by pairing the VR device 1102 with the system and selecting the appropriate therapy environment and language. Once paired, the VR headset may be placed on the patient to initiate the therapy session. During the session, therapists may utilize the web browser 1104 or mobile device 1106 to monitor patient engagement and emotional responses in real time. The system may collect and analyze data, including the patient's view areas and emotional states, to provide actionable insights post-session. This data collection process allows healthcare providers to refine therapy plans, ensuring that the environment is controlled and tailored to the patient's specific needs.

[00120] Referring to FIG. 12 is a block diagram depicting another embodiment of the system for virtual reality (VR) therapy, in accordance with one or more exemplary embodiments. The system 1200 may include a VR device 1202 that patients use to experience the therapy environments. The VR device 1202 may be configured to connect to a Web Server 1204 through an API. The API enables the transfer of data and commands between the VR device and the server, allowing for the selection, initiation, and management of therapy sessions. This communication enables therapists to control therapy parameters remotely, providing patients with a tailored therapeutic experience. The Web Server 1204 may be configured to handle requests and responses from both the VR device 1202 and a Web Browser 1210. The Web Server 1204 plays a central role in managing interactions between client devices and the system's core services. When a therapist uses the Web Browser 1210 to send a request (e.g., selecting a therapy environment), the Web Server processes this request and responds with the appropriate data or commands to the VR device 1202. This interaction enables real-time adjustments during therapy sessions, ensuring that the therapeutic content aligns with the patient's needs. The WS Server (WebSocket Server) 1206 may be configured to establish and manage WebSocket sessions between the VR device 1202 and the Web Browser 1210. This server facilitates a continuous, bi-directional communication channel, allowing for real-time data exchange during therapy sessions. Through the WebSocket sessions, the WS Server 1206 mirrors the patient's interactions in the virtual environment, providing the therapist with live monitoring capabilities. This real-time data stream enables the therapist to observe the patient's engagement, make on-the-fly adjustments to the environment, and provide feedback as necessary, enhancing the therapy's effectiveness. The system 1200 may also include a Mosquitto Broker 1208, which may be configured to handle the MQTT (Message Queuing Telemetry Transport) protocol for lightweight messaging. The MQTT protocol facilitates efficient communication between the VR device 1202, the Web Browser 1210, and other connected components within the network 1212. The Mosquitto Broker 1208 enables the publication and subscription of messages, allowing the VR device to send session data, including patient feedback and biofeedback information, to the therapist's interface. This communication channel supports a responsive and adaptable therapy process, where changes made by the therapist can be immediately reflected in the VR environment. The Web Browser 1210 may serve as the therapist's interface, enabling remote control of the therapy session. It may be configured to mirror the VR session in real time, allowing the therapist to monitor the patient's actions and emotional responses within the virtual environment. The Web Browser 1210 interacts with the Web Server 1204 and the WS Server 1206 to receive session data and updates. This real-time mirroring capability provides the therapist with a comprehensive overview of the patient's experience, ensuring that they can intervene or modify the environment based on observed behaviors and feedback. The network 1212 may represent the broader infrastructure that supports the system's communication and data exchange. It may include cloud services, databases, and other networked devices that interact using the MQTT protocol. The network 1212 facilitates seamless data transfer between the Mosquitto Broker 1208 and other system components, ensuring that messages, alerts, and data packets are efficiently distributed. This interconnected network architecture supports the system's adaptability, allowing for remote therapy sessions regardless of the geographical locations of the therapist and patient. In practice, the system 1200 may operate as follows: The therapist initiates the therapy session using the Web Browser 1210, sending a request to the Web Server 1204 to select the appropriate therapy environment. The VR device 1202 receives the response through the API and begins the session. During the session, the WS Server 1206 and Mosquitto Broker 1208 manage real-time communication, allowing the therapist to monitor and adjust the environment via the web interface. The network 1212 supports the exchange of biofeedback and engagement data, providing the therapist with insights into the patient's progress. This configuration enables a dynamic, data-driven approach to VR therapy, ensuring that the patient's unique needs are continuously met.

[00121] Referring to FIG. 13 is an example diagram 1300 depicting a graphical user interface for booking a virtual reality (VR) therapy session, and the selection of therapy environments based on patient details and therapy objectives, in accordance with one or more exemplary embodiments. The system provides the option to select either system-recommended therapy plans based on machine learning (ML) analysis or self-selection by the therapist. When the therapist initiates a booking, the system may use an internal recommendation engine that considers previous therapy history, patient conditions, and session durations to create a tailored protocol. The therapist can manually edit this recommended protocol, choosing from a repository of available VR experiences. The patient profile section captures relevant information, such as age, gender, specific conditions (e.g., OCD, Depression), and the patient's preferred language for the therapy session. In FIG. 13, therapists may review different VR experiences like "Finding Joy," "Embracing Calm," and "Cultivating Gratitude," each offering an immersive therapy session designed for various therapeutic objectives. The interface provides the flexibility to integrate both audio and video aspects into the patient's immersive experience, allowing therapists to combine these elements during runtime. Additionally, the platform comes pre-loaded with a repository of soothing audio content, including music and meditation instructions in various languages, which can be paired with the immersive video experiences to suit individual patient needs.

[00122] Referring to FIG. 14 is an example diagram 1400 depicting the selection of therapy sessions, and the personalized plan created based on patient needs, including various VR experiences categorized by session, in accordance with one or more exemplary embodiments. Each session is tailored to the patient's requirements, comprising specific VR environments such as "Forest of Serenity" for meditation or "Shores of Positivity" for relaxation. The platform’s capability for dynamic therapy customization allows therapists to add, modify, or replace the planned VR environments as required, addressing the patient’s progress or feedback from previous sessions. In FIG. 14, the system may present session details, including the intended emotional outcome (e.g., relaxation, meditation) and associated audio content. The platform's unique feature allows the therapist to monitor the patient’s progress in real-time, pausing, replaying, or adjusting the scenes within each selected experience during the therapy session. This flexibility is crucial in optimizing patient engagement and achieving desired therapeutic outcomes.

[00123] Referring to FIG. 15 is an example diagram 1500 depicting a patient's VR therapy plan, providing a summary of selected experiences categorized by therapy type, language, and completion status, in accordance with one or more exemplary embodiments. This summary provides an overview of the selected experiences, categorized by therapy type (e.g., meditation, relaxation), the specific VR environment chosen, the language used, and the completion status of each session. The system enables real-time data analysis to monitor patient feedback, emotional states, and engagement levels during each session. If a patient rates any experience below a predefined threshold (e.g., less than 6), the system may automatically replace that experience in subsequent sessions, ensuring continuous optimization of the therapy plan. The functionality showcased in FIG. 15 supports the objective of using data-driven insights to personalize therapy. The integrated data analytics module in the system may generate automated reports, which provide therapists with a comprehensive overview of patient responses, including attention spans, biofeedback, and subjective feedback. This data analysis aids in refining the therapy plans for enhanced treatment efficacy, as well as creating new session protocols based on the patient’s changing needs.

[00124] Referring to FIG. 16 is a flow diagram 1600 depicting a method for providing virtual reality (VR) therapy using the system's web-based platform integrated with the virtual reality (VR) therapy assisting module, in accordance with one or more exemplary embodiments. The exemplary method 1600 commences at step 1602, adding the patient's basic details to the system by the therapist, ensuring anonymity is maintained. Thereafter at step 1604, accessing the catalog of VR therapy experiences and selecting the appropriate therapy environment tailored to the patient's needs. Thereafter at step 1606, booking a VR session for the selected patient, enabling the therapist to customize the session based on the patient's specific requirements. Thereafter at step 1608, pairing the VR device with the system and starting the session, allowing the patient to experience the selected virtual therapy environment. Thereafter at step 1610, monitoring the patient's live VR experience through the virtual reality (VR) therapy assisting module, enabling the therapist to track the patient's gaze direction and viewing angle in real time. Thereafter at step 1612, controlling the therapy session in real-time by allowing the therapist to pause, play, adjust scenarios, and change the voice-over language as needed. Thereafter at step 1614, collecting bio-feedback data, such as heart rate variability (HRV) and galvanic skin response (GSR), to enable real-time monitoring during the session. Thereafter at step 1616, generating a session summary that includes a heatmap of the patient's focus areas, overlaid with the collected bio-feedback data, providing insights for the therapist. Thereafter at step 1618, reviewing the session summary and collecting the patient's subjective feedback, enabling the therapist to further refine and adapt future therapy plans

[00125] Referring to FIG. 17 is a flow diagram 1700 depicting a method for initiating and providing a virtual reality (VR) therapy session using the virtual reality (VR) therapy assisting module on the VR device, in accordance with one or more exemplary embodiments. The exemplary method 1700 commences at step 1702, opening the virtual reality (VR) therapy assisting module on the VR device. Thereafter at step 1704, downloading the selected VR environment onto the virtual reality (VR) therapy assisting module based on the therapist’s choice, such as a beach for relaxation, a kitchen for OCD therapy, or a building for addressing fear of heights. Thereafter at step 1706, immersing the patient into the chosen VR experience, allowing them to engage with the virtual environment for the therapy session.

[00126] Referring to FIG. 18 is a flow diagram 1800 depicting a method providing virtual reality (VR) therapy, in accordance with one or more exemplary embodiments. The exemplary method 1800 commences at step 1802, receiving patient information and therapy history into a database, wherein the database includes a data processing unit configured to process patient data. Thereafter at step 1804, analyzing the patient data using a recommendation engine, the recommendation engine being configured to receive processed patient data and generate personalized VR experience plans using machine learning (ML) analysis, executed by an ML processor, whereby the recommendation engine utilizes natural language processing (NLP) to analyze therapist input through a natural language interface. Thereafter at step 1806, selecting immersive audio-visual content from an audio-visual repository, comprising a content management system with metadata tagging, configured to provide personalized audio-visual experiences tailored to individual patient needs by matching patient profiles with corresponding content attributes. Thereafter at step 1808, conducting remote therapy sessions using a virtual therapy room module, comprising a real-time communication platform and a secure data transmission protocol, facilitating remote therapy sessions, thereby enabling therapists to conduct sessions with patients in diverse geographic locations through a graphical user interface. Thereafter at step 1810, facilitating group therapy using a group therapy module, comprising a multi-user platform and an anonymization module, enabling multiple patients to interact in virtual environments, thereby fostering anonymous social interactions and collaborative learning through shared virtual workspaces. Thereafter at step 1812, generating immersive 3D experiences using an AI environment generation module, comprising a text-to-scene converter and a 3D rendering engine, converting text prompts into immersive 3D experiences, thereby creating dynamic and adaptive environments for personalized therapy through generative modelling. Thereafter at step 1814, analyzing biofeedback and viewing data using a data analytics module, comprising a data aggregator and a visualization engine, generating heatmaps and summaries, thereby enabling real-time monitoring and control of VR experiences by therapists through a user interface.

[00127] Referring to FIG. 19 is a flow diagram 1900 depicting a method for initiating and conducting a virtual reality (VR) therapy session using the system's web-based platform integrated with the VR therapy assisting module, in accordance with one or more exemplary embodiments. The exemplary method 1900 commences at step 1902, enabling a therapist to login into a web-based platform and entering a paired code to synchronize with the patient's VR device, simultaneously, the patient’s VR device is initiating the pairing process by recognizing the device ID and entering the same paired code to establish the connection. Thereafter at step 1904, publishing session details, including therapy type and selected environment, from the web platform to the VR device, the VR device then subscribes to receive these session details and acknowledges receipt by publishing a session acknowledgment back to the platform. Thereafter at step 1906, publishing the selected therapy environment on the web platform and subscribing the VR device to receive environment details, downloading the necessary files by the VR device and publishes a download completion message once the files are successfully stored. Thereafter at step 1908, enabling real-time mirroring of the VR experience on the web browser for the therapist, allowing the therapist to monitor the patient's session, including controlling the experience by pausing, playing, or adjusting the session as needed. Thereafter at step 1910, publishing various actions (e.g., changes in the environment, instructions) from the web platform, which the VR device subscribes to and executes in real-time, providing an interactive therapy session. Thereafter at step 1912, monitoring for the session's end signal from the VR device upon completion, the VR device publishes a session end message, which is then acknowledged by the web platform, indicating the successful conclusion of the therapy session.

[00128] In accordance with one or more exemplary embodiments of the present disclosure, the database 710 stores patient information and therapy history. The database 710 may include the data processing unit 708. The data processing unit 708 may be configured to process patient data, the database 710 may be in communication with the recommendation engine 706. The recommendation engine 706 may be configured to receive processed patient data and generate personalized VR experience plans using machine learning (ML) analysis, executed by an ML processor 704. The recommendation engine 706 may utilize natural language processing (NLP) to analyze therapist input through a natural language interface. The audio-visual repository 802 may store immersive content. The audio-visual repository 802 may include the content management system with metadata tagging 804, configured to provide personalized audio-visual experiences tailored to individual patient needs by matching patient profiles with corresponding content attributes. The virtual therapy room module 202 may include the real-time communication platform 402 and a secure data transmission protocol 404, facilitating remote therapy sessions, thereby enabling therapists to conduct sessions with patients in diverse geographic locations through the graphical user interface 406. The group therapy module 204 may include the multi-user platform 502 and anonymization module 504 enabling multiple patients to interact in virtual environments, thereby fostering anonymous social interactions and collaborative learning through shared virtual workspaces. The AI environment generation module may include the text-to-scene converter 902 and the 3D rendering engine 904, which may be configured to convert text prompts into immersive 3D experiences, thereby creating dynamic and adaptive environments for personalized therapy through generative modelling 906. The data analytics module may include the data aggregator 1002 may be connected to the virtual therapy room module 202 and the group therapy module 204, receiving biofeedback and viewing data through application programming interface (APIs) 120. The visualization engine 1004 may be coupled to the data aggregator 1002 processing the received data to generate heatmaps and summaries, thereby enabling real-time monitoring and control of VR experiences by therapists through the user interface 406.

[00129] In accordance with an exemplary embodiment of the present disclosure, the recommendation engine 706 uses deep learning algorithms to analyze patient data. These algorithms process complex patterns within the patient's therapy history, preferences, and responses to generate more accurate and personalized VR therapy plans.

[00130] In accordance with an exemplary embodiment of the present disclosure, the audio-visual repository 802 includes content from multiple therapy modalities, such as cognitive-behavioral therapy (CBT) and mindfulness-based stress reduction (MBSR). This allows therapists to select or recommend content tailored to the patient’s therapeutic needs, enhancing the effectiveness of the VR therapy sessions.

[00131] In accordance with an exemplary embodiment of the present disclosure, the virtual therapy room module 202 includes an emotional state detection feature using facial recognition. This feature analyzes the patient's facial expressions in real-time to assess their emotional state during therapy sessions, providing the therapist with valuable feedback for adjusting the therapy process.

[00132] In accordance with an exemplary embodiment of the present disclosure, the group therapy module 204 includes personalized avatars for patients, which allows individuals to participate in therapy sessions with a degree of anonymity. The avatars can be customized to reflect patient preferences, enhancing the sense of identity and engagement within group therapy settings.

[00133] In accordance with an exemplary embodiment of the present disclosure, the AI environment generator 306 utilizes natural language processing (NLP) to analyze therapist input. The NLP feature interprets textual instructions or therapy scripts provided by the therapist, converting them into suitable VR therapy environments that match the therapy's objectives.

[00134] In accordance with an exemplary embodiment of the present disclosure, the data analytics module 308 generates predictive models of patient response to therapy. By analyzing historical data and current biofeedback information, the system can predict patient outcomes, providing the therapist with insights into the likely effectiveness of future therapy sessions.

[00135] In accordance with an exemplary embodiment of the present disclosure, the visualization engine 1004 provides real-time feedback to therapists on patient engagement. It displays data such as the patient’s focus areas within the VR environment and physiological responses, enabling the therapist to make immediate adjustments to the therapy session as needed.

[00136] In accordance with an exemplary embodiment of the present disclosure, the anonymization module 504 in the group therapy module employs encryption to protect patient identities, ensuring that all patient data remains confidential and secure during multi-user interactions in virtual environments.

[00137] In accordance with an exemplary embodiment of the present disclosure, the system integrates with electronic health records (EHRs) for seamless data exchange, allowing therapists to import relevant patient information into the database 710. This integration facilitates a more comprehensive approach to therapy by considering the patient's medical history alongside VR therapy data.

[00138] In accordance with an exemplary embodiment of the present disclosure, the database 710 includes a patient profiling module configured to create personalized therapy plans. This module uses patient demographics, therapy history, and preferences to generate individualized therapy sessions that align with the patient’s needs.

[00139] In accordance with an exemplary embodiment of the present disclosure, the recommendation engine 706 considers patient preferences, medical history, and therapy goals when generating VR therapy plans. This multi-faceted approach ensures that the selected therapy environments and techniques are tailored to support each patient's unique therapeutic journey.

[00140] In accordance with an exemplary embodiment of the present disclosure, the audio-visual repository 802 includes virtual reality environments that simulate real-world scenarios, allowing patients to engage in exposure therapy for conditions such as phobias, social anxiety, or stress management.

[00141] In accordance with an exemplary embodiment of the present disclosure, the virtual therapy room module 202 includes video conferencing capabilities, enabling remote therapy sessions where therapists can interact with patients in real-time, providing guidance and support as they navigate through the VR therapy experiences.

[00142] In accordance with an exemplary embodiment of the present disclosure, the group therapy module 204 facilitates role-playing exercises within virtual environments, allowing patients to practice social interactions or coping strategies in a controlled and safe setting, fostering behavioral change and skill development.

[00143] In accordance with an exemplary embodiment of the present disclosure, the AI environment generator 306 creates customized 3D models based on therapist input and patient data. These models are tailored to reflect specific therapy scenarios, enhancing the realism and effectiveness of the therapy sessions.

[00144] In accordance with an exemplary embodiment of the present disclosure, the data analytics module 308 tracks patient progress over time by analyzing data from multiple therapy sessions. It identifies patterns and trends in patient behavior and responses, aiding therapists in monitoring treatment outcomes and adjusting therapy plans.

[00145] In accordance with an exemplary embodiment of the present disclosure, the visualization engine 1004 provides heatmaps of patient engagement within the VR environment. These heatmaps illustrate areas where the patient focused the most, offering insights into their behavior and mental state during the therapy session.

[00146] In accordance with an exemplary embodiment of the present disclosure, the anonymization module 504 employs tokenization to further protect patient identities in group therapy settings, replacing sensitive data with tokens to prevent unauthorized access to personal information.

[00147] In accordance with an exemplary embodiment of the present disclosure, the system integrates with wearable devices to collect additional biofeedback data, such as heart rate and skin conductivity. This data is then analyzed to provide more comprehensive insights into the patient’s physiological state during therapy sessions.

[00148] In accordance with an exemplary embodiment of the present disclosure, the recommendation engine 706 considers therapist expertise when generating therapy plans, matching therapy techniques and environments with the therapist’s specialized skills to optimize treatment outcomes.

[00149] In accordance with an exemplary embodiment of the present disclosure, the audio-visual repository 802 includes content specifically designed for children, offering age-appropriate virtual environments that help young patients engage in therapy comfortably and effectively.

[00150] In accordance with an exemplary embodiment of the present disclosure, the virtual therapy room module 202 includes emotion recognition capabilities to assess the patient's emotional state during the therapy session, providing therapists with real-time insights to adjust the therapy process.

[00151] In accordance with an exemplary embodiment of the present disclosure, the group therapy module 204 facilitates peer support by allowing patients to interact with others experiencing similar conditions. This interaction occurs within shared virtual environments, promoting collaborative learning and emotional support.

[00152] In accordance with an exemplary embodiment of the present disclosure, the AI environment generator 306 uses physics engines to create dynamic and realistic virtual environments, enhancing the immersive quality of the therapy experiences for patients.

[00153] In accordance with an exemplary embodiment of the present disclosure, the data analytics module 308 provides predictive analytics based on biofeedback and patient interaction data, offering insights into how patients might respond to different therapy environments and techniques.

[00154] In accordance with an exemplary embodiment of the present disclosure, the visualization engine 1004 provides real-time alerts to therapists, indicating changes in the patient’s physiological state or engagement level, allowing for immediate adjustments during therapy sessions.

[00155] In accordance with an exemplary embodiment of the present disclosure, the anonymization module 504 uses secure multi-party computation to protect patient data during group therapy sessions, ensuring privacy and security even when data is processed collaboratively.

[00156] In accordance with an exemplary embodiment of the present disclosure, the system integrates with telemedicine platforms, enabling therapists to conduct VR therapy sessions remotely while maintaining access to the system's full suite of tools and data analytics.

[00157] In accordance with an exemplary embodiment of the present disclosure, the recommendation engine 706 considers cultural diversity when generating therapy plans, selecting environments, and content that are culturally sensitive and appropriate for patients from different backgrounds.

[00158] Referring to FIG. 20 is a block diagram 2000 illustrating the details of a digital processing system 2000 in which various aspects of the present disclosure are operative by execution of appropriate software instructions. The Digital processing system 2000 may correspond to the computing devices (or any other system in which the various features disclosed above can be implemented).

[00159] Digital processing system 2000 may contain one or more processors such as a central processing unit (CPU) 2010, random access memory (RAM) 2020, secondary memory 2030, graphics controller 2060, display unit 2070, network interface 2080, and input interface 2090. All the components except display unit 2070 may communicate with each other over communication path 2050, which may contain several buses as is well known in the relevant arts. The components of Figure 20 are described below in further detail.

[00160] CPU 2010 may execute instructions stored in RAM 2020 to provide several features of the present disclosure. CPU 2010 may contain multiple processing units, with each processing unit potentially being designed for a specific task. Alternatively, CPU 2010 may contain only a single general-purpose processing unit.

[00161] RAM 2020 may receive instructions from secondary memory 2030 using communication path 2050. RAM 2020 is shown currently containing software instructions, such as those used in threads and stacks, constituting shared environment 2025 and/or user programs 2026. Shared environment 2025 includes operating systems, device drivers, virtual machines, etc., which provide a (common) run time environment for execution of user programs 2026.

[00162] Graphics controller 2060 generates display signals (e.g., in RGB format) to display unit 2070 based on data/instructions received from CPU 2010. Display unit 2070 contains a display screen to display the images defined by the display signals. Input interface 2090 may correspond to a keyboard and a pointing device (e.g., touch-pad, mouse) and may be used to provide inputs. Network interface 2080 provides connectivity to a network (e.g., using Internet Protocol), and may be used to communicate with other systems connected to the network.

[00163] Secondary memory 2030 may contain hard drive 2035, flash memory 2036, and removable storage drive 2037. Secondary memory 2030 may store the data software instructions (e.g., for performing the actions noted above with respect to the Figures), which enable digital processing system 2000 to provide several features in accordance with the present disclosure.

[00164] Some or all of the data and instructions may be provided on removable storage unit 2040, and the data and instructions may be read and provided by removable storage drive 2037 to CPU 2010. Floppy drive, magnetic tape drive, CD-ROM drive, DVD Drive, Flash memory, removable memory chip (PCMCIA Card, EEPROM) are examples of such removable storage drive 2037.

[00165] Removable storage unit 2040 may be implemented using medium and storage format compatible with removable storage drive 2037 such that removable storage drive 2037 can read the data and instructions. Thus, removable storage unit 2040 includes a computer readable (storage) medium having stored therein computer software and/or data. However, the computer (or machine, in general) readable medium can be in other forms (e.g., non-removable, random access, etc.)

[00166] In this document, the term "computer program product" is used to generally refer to removable storage unit 2040 or hard disk installed in hard drive 2035. These computer program products are means for providing software to digital processing system v00. CPU 2010 may retrieve the software instructions, and execute the instructions to provide various features of the present disclosure described above.

[00167] The term “storage media/medium” as used herein refers to any non-transitory media that store data and/or instructions that cause a machine to operate in a specific fashion. Such storage media may comprise non-volatile media and/or volatile media. Non-volatile media includes, for example, optical disks, magnetic disks, or solid-state drives, such as storage memory 2030. Volatile media includes dynamic memory, such as RAM 2020. Common forms of storage media include, for example, a floppy disk, a flexible disk, hard disk, solid-state drive, magnetic tape, or any other magnetic data storage medium, a CD-ROM, any other optical data storage medium, any physical medium with patterns of holes, a RAM, a PROM, and EPROM, a FLASH-EPROM, NVRAM, any other memory chip or cartridge.

[00168] Storage media is distinct from but may be used in conjunction with transmission media. Transmission media participates in transferring information between storage media. For example, transmission media includes coaxial cables, copper wire and fibre optics, including the wires that comprise bus (communication path) 2050. Transmission media can also take the form of acoustic or light waves, such as those generated during radio-wave and infra-red data communications.

[00169] Reference throughout this specification to “one embodiment”, “an embodiment”, or similar language means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present disclosure. Thus, appearances of the phrases “in one embodiment”, “in an embodiment” and similar language throughout this specification may, but do not necessarily, all refer to the same embodiment.

[00170] Although the present disclosure has been described in terms of certain preferred embodiments and illustrations thereof, other embodiments and modifications to preferred embodiments may be possible that are within the principles of the invention. The above descriptions and figures are therefore to be regarded as illustrative and not restrictive.

[00171] Thus, the scope of the present disclosure is defined by the appended claims and includes both combinations and sub-combinations of the various features described hereinabove as well as variations and modifications thereof, which would occur to persons skilled in the art upon reading the foregoing description.

, Claims:I Claim
1. A virtual reality (VR) therapy system, comprising:

a database storing patient information and therapy history, wherein the database includes a data processing unit configured to process patient data, and wherein the database is in communication with a recommendation engine, the recommendation engine being configured to receive processed patient data and generate personalized VR experience plans using machine learning (ML) analysis, executed by an ML processor, whereby the recommendation engine utilizes natural language processing (NLP) to analyze therapist input through a natural language interface;

an audio-visual repository storing immersive content, comprising a content management system with metadata tagging, configured to provide personalized audio-visual experiences tailored to individual patient needs by matching patient profiles with corresponding content attributes;

a virtual therapy room module, comprising a real-time communication platform and a secure data transmission protocol, facilitating remote therapy sessions, thereby enabling therapists to conduct sessions with patients in diverse geographic locations through a graphical user interface;

a group therapy module, comprising a multi-user platform and anonymization module, enabling multiple patients to interact in virtual environments, thereby fostering anonymous social interactions and collaborative learning through shared virtual workspaces;

an AI environment generation module, comprising a text-to-scene converter and a 3D rendering engine, converting text prompts into immersive 3D experiences, thereby creating dynamic and adaptive environments for personalized therapy through generative modeling;

a data analytics module, comprising, a data aggregator connected to the virtual therapy room module and the group therapy module, receiving biofeedback and viewing data through application programming interface (APIs); and

a visualization engine, coupled to the data aggregator, processing the received data to generate heatmaps and summaries, thereby enabling real-time monitoring and control of VR experiences by therapists through a user interface.

2. The virtual reality (VR) therapy system as claimed in claim 1, wherein the recommendation engine uses deep learning algorithms to analyze patient data.

3. The virtual reality (VR) therapy system as claimed in claim 1, wherein the audio-visual repository includes content from multiple therapy modalities, including cognitive-behavioral therapy (CBT) and mindfulness-based stress reduction (MBSR).

4. The virtual reality (VR) therapy system as claimed in claim 1, wherein the virtual therapy room module includes emotional state detection using facial recognition, this feature analyzes the patient's facial expressions in real-time to assess their emotional state during therapy sessions, providing the therapist with valuable feedback for adjusting the therapy process.

5. The virtual reality (VR) therapy system as claimed in claim 1, wherein the group therapy module includes personalized avatars for patients, which allows individuals to participate in therapy sessions with a degree of anonymity.

6. The virtual reality (VR) therapy system as claimed in claim 1, wherein the AI environment generation module uses natural language processing (NLP) to analyze therapist input.

7. The virtual reality (VR) therapy system as claimed in claim 1, wherein the data analytics module generates predictive models of patient response to therapy by analyzing historical data and current biofeedback information.

8. The virtual reality (VR) therapy system as claimed in claim 1, wherein the visualization engine provides real-time feedback to therapists on patient engagement, and displays data such as the patient’s focus areas within the VR environment and physiological responses, enabling the therapist to make immediate adjustments to the therapy session as needed.

9. The virtual reality (VR) therapy system as claimed in claim 1, wherein the anonymization module uses encryption to protect patient identities, ensuring that all patient data remains confidential and secure during multi-user interactions in virtual environments.

10. The virtual reality (VR) therapy system as claimed in claim 1, wherein the system integrates with electronic health records (EHRs) for seamless data exchange, allowing therapists to import relevant patient information into the database, this integration facilitates a more comprehensive approach to therapy by considering the patient's medical history alongside VR therapy data.

11. The virtual reality (VR) therapy system as claimed in claim 1, wherein the database includes a patient profiling module to create personalized therapy plans.

12. The virtual reality (VR) therapy system as claimed in claim 1, wherein the recommendation engine considers patient preferences, medical history, and therapy goals.

13. The virtual reality (VR) therapy system as claimed in claim 1, wherein the audio-visual repository includes virtual reality environments simulating real-world scenarios, allowing patients to engage in exposure therapy for conditions such as phobias, social anxiety, or stress management.

14. The virtual reality (VR) therapy system as claimed in claim 1, wherein the virtual therapy room module includes video conferencing capabilities, enabling remote therapy sessions where therapists can interact with patients in real-time, providing guidance and support as they navigate through the VR therapy experiences.

15. The virtual reality (VR) therapy system as claimed in claim 1, wherein the group therapy module facilitates role-playing exercises within virtual environments, allowing patients to practice social interactions or coping strategies in a controlled and safe setting, fostering behavioral change and skill development.

16. The virtual reality (VR) therapy system as claimed in claim 1, wherein the AI environment generation module creates customized 3D models based on therapist input and patient data, these models are tailored to reflect specific therapy scenarios, enhancing the realism and effectiveness of the therapy sessions.

17. The virtual reality (VR) therapy system as claimed in claim 1, wherein the data analytics module tracks patient progress over time by analyzing data from multiple therapy sessions, and identifies patterns and trends in patient behavior and responses, aiding therapists in monitoring treatment outcomes and adjusting therapy plans.

18. The virtual reality (VR) therapy system as claimed in claim 1, wherein the visualization engine provides heatmaps of patient engagement within the VR environment, these heatmaps illustrate areas where the patient focused the most, offering insights into their behavior and mental state during the therapy session.

19. The virtual reality (VR) therapy system as claimed in claim 1, wherein the anonymization module uses tokenization to further protect patient identities in group therapy settings, replacing sensitive data with tokens to prevent unauthorized access to personal information.

20. The virtual reality (VR) therapy system as claimed in claim 1, wherein the system integrates with wearable devices to collect additional biofeedback data, such as heart rate and skin conductivity, this data is then analyzed to provide insights into the patient’s physiological state during therapy sessions.

21. The virtual reality (VR) therapy system as claimed in claim 1, wherein the recommendation engine considers therapist expertise when generating therapy plans, matching therapy techniques and environments with the therapist’s specialized skills to optimize treatment outcomes.

22. The virtual reality (VR) therapy system as claimed in claim 1, wherein the audio-visual repository includes content for children, offering age-appropriate virtual environments that help young patients engage in therapy comfortably and effectively.

23. The virtual reality (VR) therapy system as claimed in claim 1, wherein the virtual therapy room module includes emotion recognition capabilities to assess the patient's emotional state during the therapy session, providing therapists with real-time insights to adjust the therapy process.

24. The virtual reality (VR) therapy system as claimed in claim 1, wherein the group therapy module facilitates peer support by allowing patients to interact with others experiencing similar conditions, this interaction occurs within shared virtual environments, promoting collaborative learning and emotional support.

25. The virtual reality (VR) therapy system as claimed in claim 1, wherein the AI environment generation module uses physics engines to create dynamic and realistic virtual environments, enhancing the immersive quality of the therapy experiences for patients.

26. The virtual reality (VR) therapy system as claimed in claim 1, wherein the data analytics module provides predictive analytics based on biofeedback and patient interaction data, offering insights into how patients might respond to different therapy environments and techniques.

27. The virtual reality (VR) therapy system as claimed in claim 1, wherein the visualization engine provides real-time alerts to therapists, indicating changes in the patient’s physiological state or engagement level, allowing for immediate adjustments during therapy sessions.

28. The virtual reality (VR) therapy system as claimed in claim 1, wherein the anonymization module uses secure multi-party computation to protect patient data during group therapy sessions, ensuring privacy and security even when data is processed collaboratively.

29. The virtual reality (VR) therapy system as claimed in claim 1, wherein the system integrates with telemedicine platforms, enabling therapists to conduct VR therapy sessions remotely while maintaining access to the system's full suite of tools and data analytics.

30. The virtual reality (VR) therapy system as claimed in claim 1, wherein the recommendation engine considers cultural diversity when generating therapy plans, selecting environments, and content that are culturally sensitive and appropriate for patients from different backgrounds.

31. A method for providing virtual reality (VR) therapy, comprising
receiving patient information and therapy history into a database, wherein the database includes a data processing unit configured to process patient data;

analyzing the patient data using a recommendation engine, the recommendation engine being configured to receive processed patient data and generate personalized VR experience plans using machine learning (ML) analysis, executed by an ML processor, whereby the recommendation engine utilizes natural language processing (NLP) to analyze therapist input through a natural language interface;

selecting immersive audio-visual content from an audio-visual repository, comprising a content management system with metadata tagging, configured to provide personalized audio-visual experiences tailored to individual patient needs by matching patient profiles with corresponding content attributes;

conducting remote therapy sessions using a virtual therapy room module, comprising a real-time communication platform and a secure data transmission protocol, facilitating remote therapy sessions, thereby enabling therapists to conduct sessions with patients in diverse geographic locations through a graphical user interface;

facilitating group therapy using a group therapy module, comprising a multi-user platform and an anonymization module, enabling multiple patients to interact in virtual environments, thereby fostering anonymous social interactions and collaborative learning through shared virtual workspaces;

generating immersive 3D experiences using an AI environment generation module, comprising a text-to-scene converter and a 3D rendering engine, converting text prompts into immersive 3D experiences, thereby creating dynamic and adaptive environments for personalized therapy through generative modeling; and

analyzing biofeedback and viewing data using a data analytics module, comprising a data aggregator and a visualization engine, generating heatmaps and summaries, thereby enabling real-time monitoring and control of VR experiences by therapists through a user interface.