Platform for optimizing user comfort in immersive computer-generated visual environments with sensing, stimulation and artificial intelligence management

Abstract

A computer-implemented method for providing a digital experience includes obtaining user data, receiving physiological signals from sensors, and obtaining digital experience data. A machine learning model predicts a discomfort level of the user during the digital experience based on the user data, physiological signals, and digital experience data. The digital experience is enhanced based on the predicted discomfort level by either generating a signal to suppress the user's vestibular system when delivered to the skin surface or modifying a parameter of the digital experience. This enhancement aims to improve the user's comfort during the digital experience.

Description

PATENTAttorney Docket No.: QVR1100-2WOPLATFORM FOR OPTIMIZING USER COMFORT IN IMMERSIVE COMPUTERGENERATED VISUAL ENVIRONMENTS WITH SENSING, STIMULATION AND ARTIFICIAL INTELLIGENCE MANAGEMENTCROSS REFERENCE TO RELATED APPLICATIONS

[0001] This application claims priority to U.S. Provisional Application Serial No. 63 / 734,989, filed December 17, 2024, and U.S. Provisional Application Serial No. 63 / 734,972, filed December 17, 2024, each which are hereby incorporated by reference in their entirety.TECHNICAL FIELD

[0002] The present disclosure relates generally to system for optimizing user comfort in immersive computer-generated visual environments with user sensors, stimulation control and predictive and adaptive management by artificial intelligence.BACKGROUND

[0003] Extended reality technologies, including virtual reality (VR), augmented reality (AR), and mixed reality (MR), have gained widespread adoption across entertainment, education, training, and therapeutic applications. These immersive digital environments create compelling user experiences by presenting visual content through head-mounted displays and other specialized devices. However, a substantial portion of users experience motion sickness symptoms when engaging with extended reality systems, which can include nausea, dizziness, headaches, and general discomfort. This phenomenon, commonly referred to as cybersickness, occurs due to sensory conflicts between visual motion cues presented by the digital environment and the vestibular system's perception of actual physical movement.

[0004] The prevalence of motion sickness in extended reality environments limits the accessibility and utility of these technologies for many potential users. Current approaches to address cybersickness typically focus on single modal software solutions or vestibular suppression. While these methods provide some relief, they often compromise the immersive quality of the experience and may not be effective for all users. Additionally, existing mitigation strategies are generally reactive rather than predictive, addressing symptoms after they occur rather than preventing their onset. There remains a need for more effective approaches that can proactively manage user comfort while maintaining the full immersive potential of extended reality experiences.11626944045PATENTAttorney Docket No.: QVR1100-2WOSUMMARY

[0005] This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify essential features of the claimed subject matter, nor is it intended to be used as an aid in determining the scope of the claimed subject matter.

[0006] In some embodiments, a computer-implemented method for providing a digital experience, includes obtaining user data corresponding to a digital experience profde of a user; receiving, from one or more sensors, physiological signals corresponding to a physiological state of the user; obtaining digital experience data corresponding to a digital experience being presented to the user; predicting, using a machine learning model, a discomfort level of the user during the digital experience based on the user data, the physiological signals and the digital experience data; and enhancing, based on the predicted discomfort level, the digital experience by performing at least one of: generating a signal that, when delivered to a skin surface of the user, suppresses a vestibular system of the user, and modifying a parameter of the digital experience.

[0007] In some embodiments, the user data includes at least one of: user demographic data, user age data, user gender data, user height data, user weight data, motion sickness susceptibility data, or historical digital experience data.

[0008] In some embodiments, the physiological signals include at least one of: heart rate data, heart rate variability data, electrocardiogram data, blood glucose level data, respiration rate data, perspiration data, skin temperature data, body temperature data, cortisol level data, blood pressure data, blood oxygen level data, facial coloration data, eye dilation data, electroencephalography data, eye tracking data, head position data, body pose data, or gait data.

[0009] In some embodiments, the digital experience data includes at least one of: a type of digital experience, video frame data, user input data, operational logic data, simulated physics data, point of view data, content data, color data, contrast data, tone data, or story progression data.

[0010] In some embodiments, the digital experience includes at least one of: a virtual reality experience, an augmented reality experience, a mixed reality experience, a video game experience, a flight simulation experience, a virtual meditation experience, an avatar experience, a telepresence experience, a digital twin experience, or a movie experience.

[0011] In some embodiments, predicting the discomfort level includes predicting at least one of: motion sickness symptoms, nausea, headache, dizziness, disorientation, or visual discomfort.

[0012] In some embodiments, the machine learning model is trained using training data including digital experience profdes of multiple users, physiological signals corresponding to physiological 21626944045PATENTAttorney Docket No.: QVR1100-2WO states of the multiple users, and digital experience data corresponding to multiple digital experiences.

[0013] In some embodiments, generating the signal includes: generating a bipolar rectangular wave signal having a frequency between 10 Hz and 60 Hz and a current amplitude between 0.1 mA and 3 mA; and applying the signal to one or more electrodes positioned proximate to mastoid processes of the user.

[0014] In some embodiments, the computer-implemented method further includes gradually increasing the current amplitude of the signal; detecting a perception threshold at which the user perceives the signal; and reducing the current amplitude to a level below the perception threshold.

[0015] In some embodiments, modifying the parameter of the digital experience includes at least one of: adjusting a field of view, modifying a motion speed, changing a rendering technique, adjusting visual contrast, modifying color saturation, modifying streamed visual parameters, adjusting an interaction with the digital experience, or implementing snap rotation.

[0016] In some embodiments, the computer-implemented method further includes continuously monitoring the physiological signals during the digital experience; updating the predicted discomfort level based on the continuously monitored physiological signals; and dynamically adjusting at least one of the signal or the parameter of the digital experience based on the updated predicted discomfort level.

[0017] In some embodiments, predicting the discomfort level includes: determining a current discomfort state of the user based on the physiological signals; predicting a future discomfort state of the user based on the digital experience data; and generating the predicted discomfort level based on the current discomfort state and the future discomfort state.

[0018] In some embodiments, the computer-implemented method further includes storing, in a database, at least one of: the user data, the physiological signals, the digital experience data, the predicted discomfort level, or parameters of the signal.

[0019] In some embodiments, a vestibular wellness system includes a display configured to provide a digital experience to a user; one or more electrodes configured to contact a skin surface of the user; a controller communicatively coupled one or more electrodes, the controller configured to: generate a signal between 10 Hz and 60 Hz that, when delivered to the skin surface, suppresses a vestibular system of the user to counteract motion sickness generated by the display device.

[0020] In some embodiments, at least one of the one or more electrodes are configured to be positioned proximate to mastoid processes of the user.31626944045PATENTAttorney Docket No.: QVR1100-2WO

[0021] In some embodiments, the signal includes a bipolar rectangular wave with a duty cycle of approximately 50%.

[0022] In some embodiments, the signal has a current amplitude of less than 1 mA.

[0023] In some embodiments, the vestibular wellness system further includes a harness configured to support the one or more electrodes in contact with the skin surface.

[0024] In some embodiments, the controller is further configured to: gradually increase a current amplitude of the signal; detect a perception threshold at which the user perceives the signal; and reduce the current amplitude to a level below the perception threshold.

[0025] In some embodiments, the controller is communicatively coupled to the display device.

[0026] In some embodiments, the controller is configured to modify one or more parameters of the signal based on characteristics of the digital experience.

[0027] In some embodiments, the controller is configured to modify one or more parameters of the digital experience.

[0028] In some embodiments, the vestibular wellness system further includes one or more sensors, wherein the controller is further configured to: obtain user data corresponding to a digital experience profile of the user; obtain signals, from the one or more sensors, corresponding to a physiological state of the user; obtain digital experience data corresponding to the digital experience; and predict, using an artificial intelligence model, a discomfort level of the user, based on the user data, the signals, and the digital experience data.

[0029] In some embodiments, a method of reducing motion sickness in a person includes positioning at least one electrode on a skin surface of the person proximate to a mastoid region; generating an alternating current signal having a frequency in a range from 1 Hz to 60 Hz and a current amplitude in a range from 0.1 mA to 3 mA; calibrating the alternating current signal by incrementally increasing the current until the person perceives the signal and then reducing the current below a perception threshold; applying the calibrated alternating current signal to the at least one electrode to suppress a vestibular system of the person; and maintaining the suppression for a duration sufficient to reduce motion sickness symptoms in the person.

[0030] In some embodiments, the alternating current signal includes a bipolar rectangular wave with a duty cycle of approximately 50%.

[0031] In some embodiments, positioning the at least one electrode includes positioning a pair of electrodes on opposing sides of a head of the person.

[0032] In some embodiments, the pair of electrodes are positioned proximate to mastoid processes of the person.41626944045PATENTAttorney Docket No.: QVR1100-2WO

[0033] In some embodiments, reducing the current includes reducing the current by approximately 0.08 mA to 0.3 mA below the perception threshold.

[0034] In some embodiments, maintaining the suppression includes applying the calibrated alternating current signal for a duration of at least 2 minutes before the person enters a motioninducing environment.

[0035] In some embodiments, the motion-inducing environment includes an extended reality environment.

[0036] In some embodiments, the method further includes monitoring physiological parameters of the person during the suppression to assess effectiveness of the suppression.

[0037] In some embodiments, the physiological parameters include heart rate and perspiration data.

[0038] The foregoing general description of the illustrative embodiments and the following detailed description thereof are merely exemplary aspects of the teachings of this disclosure and are not restrictive.BRIEF DESCRIPTION OF THE DRAWINGS

[0039] So that the above-recited features of the present disclosure can be understood in detail, a more particular description of the disclosure, briefly summarized above, may be made by reference to example embodiments, some of which are illustrated in the appended drawings. It is to be noted, however, that the appended drawings illustrate only example embodiments of this disclosure and are therefore not to be considered limiting of its scope, for the disclosure may admit to other equally effective example embodiments.

[0040] FIG. 1 illustrates a block diagram of a system for providing galvanic vestibular suppression and managing digital experiences, according to aspects of the present disclosure.

[0041] FIG. 2 illustrates a block diagram of a system for facilitating extended reality experiences based on physiological and contextual data, according to aspects of the present disclosure.

[0042] FIG. 3 illustrates a side view of a person wearing an extended reality display with a galvanic vestibular suppression system, according to aspects of the present disclosure.

[0043] FIG. 4A illustrates pulse width modulation voltage and current waveforms for galvanic vestibular suppression signals, according to aspects of the present disclosure.

[0044] FIG. 4B illustrates bipolar output voltage and current waveforms for galvanic vestibular suppression signals, according to aspects of the present disclosure.51626944045PATENTAttorney Docket No.: QVR1100-2WO

[0045] FIG. 5 illustrates a flowchart for a method of generating and applying signals to suppress the vestibular system, according to aspects of the present disclosure.

[0046] FIG. 6 illustrates a flowchart for a method of calibrating galvanic vestibular suppression for a user, according to aspects of the present disclosure.

[0047] FIG. 7 illustrates a flowchart for a method of enhancing a digital experience based on predicted user discomfort, according to aspects of the present disclosure.

[0048] FIG. 8 illustrates a block diagram of a system for managing digital experiences and coordinating vestibular suppression, according to aspects of the present disclosure.

[0049] FIG. 9 illustrates a block diagram for a computing system, according to aspects of the present disclosure.DETAILED DESCRIPTION

[0050] Extended reality environments, including virtual reality, augmented reality, and mixed reality experiences, may present challenges for users who experience motion sickness or cybersickness during digital interactions. Motion sickness in extended reality environments may occur when sensory information from the visual system conflicts with vestibular system inputs, creating a sensory mismatch that can lead to discomfort, nausea, dizziness, and other symptoms. This sensory conflict theory explains how the brain's inability to reconcile conflicting motion signals may result in motion sickness symptoms that can limit user engagement and accessibility to extended reality technologies.

[0051] Extended reality technologies may encompass various forms of immersive digital experiences that blend or replace physical reality with computer-generated content. Virtual reality may provide fully immersive digital environments that replace the user's physical surroundings with computer-generated worlds, typically experienced through head-mounted displays that block out external visual stimuli. Augmented reality may overlay digital information, graphics, or interactive elements onto the user's view of the physical world, allowing simultaneous perception of real and virtual content through devices such as smartphones, tablets, or specialized glasses. Mixed reality may combine elements of both virtual and augmented reality, enabling digital objects to interact with the physical environment in real-time and respond to physical world conditions. These extended reality modalities may also include related experiences such as telepresence systems that enable remote interaction, digital twin environments that replicate physical spaces or objects in virtual form, or any immersive video, video game, or simulation experiences utilizing any type of display device.61626944045PATENTAttorney Docket No.: QVR1100-2WO

[0052] The disclosed systems and methods may provide a comprehensive approach to motion sickness mitigation that combines galvanic vestibular suppression with machine learning-based prediction and dynamic experience modification. Galvanic vestibular suppression may include the application of controlled electrical signals to the vestibular system through electrodes positioned on the skin surface, typically near the mastoid processes behind the ears. The electrical suppression may modulate vestibular nerve activity to reduce the sensitivity of the vestibular system to motion conflicts.

[0053] A distinction may be made between vestibular stimulation and vestibular suppression in the context of motion sickness mitigation. Vestibular stimulation may involve applying electrical signals to actively trigger vestibular responses or simulate motion sensations, which can be used to create artificial balance cues or motion feedback. In contrast, vestibular suppression may include applying electrical signals to reduce or inhibit the activity of an overactive vestibular system. In motion sickness susceptible individuals, the vestibular system may be hyperactive and may respond excessively to sensory conflicts. Vestibular suppression may desensitize the vestibular nerve and reduce the magnitude of conflicting signals that contribute to motion sickness symptoms.

[0054] The disclosed approach may utilize alternating current signals with specific parameters to achieve vestibular suppression rather than stimulation. The alternating current may be applied consistently across opposing mastoids to create a desensitizing effect on the peripheral vestibular nerve. This suppression approach may require lower power consumption compared to active stimulation methods and may be applied continuously without causing noticeable balance disturbances in the user.

[0055] The galvanic vestibular suppression approach may utilize lower current and power values rather than relying on extreme electrical parameters to induce motion balance changes. In some aspects, higher current values may become readily noticeable by users and may be found to be excessive, potentially simulating movement in highly unpredictable ways across different individuals. Using lower current values may lead to mitigation of motion sickness symptoms without the side effects of noticeable stimulation or false movement sensations. The system may minimize power usage such that it is able to mitigate the sensitivity and sensation of motion sickness while avoiding the need for excessive current that would be required to actively induce vestibular balance changes. This approach may provide a more comfortable and imperceptible experience compared to methods that rely on stronger electrical signals to manipulate vestibular responses directly.71626944045PATENTAttorney Docket No.: QVR1100-2WO

[0056] Although the systems and methods disclosed herein refer to vestibular suppression, in alternative embodiments, stimulation may be used in combination or as an alternative to suppression.

[0057] Machine learning models may be integrated into the system to predict user discomfort before motion sickness symptoms manifest. The predictive capability may be based on analysis of multiple data sources including user demographic profdes, physiological sensor data, and digital experience parameters. The machine learning model may be trained on datasets that include motion sickness susceptibility questionnaires, physiological responses during extended reality experiences, and user-reported comfort ratings across various scenarios.

[0058] The predictive approach may enable proactive intervention rather than reactive response to motion sickness symptoms. By analyzing real-time physiological signals such as heart rate variability, perspiration, and other biomarkers, the system may detect early indicators of motion sickness onset. Additionally, the system may access digital experience data including upcoming scene transitions, movement patterns, and interaction requirements to predict future discomfort based on the planned experience content.

[0059] Dynamic experience modification may be implemented through a plugin architecture that provides direct access to extended reality application parameters. The plugin may communicate with the extended reality engine to modify visual rendering, adjust motion characteristics, or implement comfort features without compromising the overall experience narrative. The modifications may be applied selectively based on predicted discomfort levels and individual user sensitivity profiles.

[0060] The combination of vestibular suppression, predictive modeling, and dynamic experience modification may provide technical improvements over conventional approaches. The system may maintain user comfort while preserving immersion quality, extend the duration users can engage with extended reality content, and provide accessibility for motion sickness susceptible populations who may otherwise be unable to use extended reality technologies effectively.

[0061] Referring to FIG. 1, a system 100 may provide galvanic vestibular suppression for motion sickness mitigation in extended reality environments. The system 100 may include an electrode 102, sensors 104, a controller 106, a database 118, and an extended reality display device 120. The extended reality display device 120 may include any type of display device. The electrode 102 may be configured to contact a skin surface of a user to deliver electrical signals for vestibular suppression. In some cases, the electrode 102 is a 32mm diameter electrode. In some embodiments, the electrode 102 is hypo-allergenic to reduce skin irritation during extended use81626944045PATENTAttorney Docket No.: QVR1100-2WO periods. The electrode 102 may be configured to be positioned proximate to the mastoid process of the user to provide effective signal delivery to the vestibular system.

[0062] In some embodiments, multiple electrodes 102 may be affixed to the user (e.g., proximate to the mastoid processes on both sides of the head). The system 100 may include a ground electrode that provides backup functionality in case one electrode's output is enabled faster than another electrode or one electrode is enabled while another electrode is not operational. This ground electrode configuration may ensure consistent signal delivery and maintain safety during operation.

[0063] In some cases, a harness may be configured to support the electrode 102 in contact with the skin surface, providing stable positioning and consistent electrical contact throughout the vestibular suppression session. The harness may interface to the harness of the extended reality device 120. In further embodiment, the harness may be integral with a harness of the extended reality device 120.

[0064] The controller 106 may be communicatively coupled to the electrode 102, the sensors 104, the database 118, and the extended reality display device 120. The controller 106 may coordinate the operation of system components to deliver synchronized galvanic vestibular suppression while monitoring user physiological parameters. The controller 106 may comprise several modules including an external control interface 108, a signal processing module 110, a signal generator 112, a safety interlock system 114, and a calibration module 116, and a predictive module 122.

[0065] The signal generator 112 may generate electrical signals that are delivered to the electrode 102 for suppression of the vestibular system of the user. In some cases, the signal generator 112 may produce a 12V bipolar rectangular wave with a 50% duty cycle. In other embodiments, the signal generator 112 may produce signals with voltages up to ±18V. The signal generator 112 may provide quantization precision of approximately 0.02362 mA, enabling fine control over current amplitude delivered to the user. The signal generator 112 may generate signals having frequencies between 10 Hz and 60 Hz that, when delivered to the skin surface, suppresses the vestibular system of the user to counteract motion sickness generated by an extended reality headset. In some embodiments, the signal generator 112 may generate signals at any frequency value, or subrange therein, in a range from 1 Hz to 120 Hz.

[0066] The signal generator 112 may comprise various analog and digital components that work together to produce precise electrical signals for vestibular suppression. In some cases, the signal generator 112 may include a microcontroller, analog device, or digital signal processor that generates digital or analog waveform patterns and controls signal parameters such as frequency, amplitude, waveform, and duty cycle. The signal generator 112 may incorporate digital-to-analog 91626944045PATENTAttorney Docket No.: QVR1100-2WO converters (DACs) that transform digital waveform data into analog voltage signals suitable for delivery to the electrode 102. The signal generator 112 may include operational amplifiers that condition and amplify the analog signals to achieve the desired voltage and current levels for vestibular suppression. In some cases, the signal generator 112 may utilize voltage-controlled current sources or transconductance amplifiers to maintain consistent current delivery despite variations in electrode impedance or skin contact resistance. The signal generator 112 may incorporate precision resistors, capacitors, and inductors that shape the waveform characteristics and filter unwanted frequency components. The signal generator 112 may include switching circuits or H-bridge configurations that enable bipolar signal generation by reversing current direction between positive and negative phases. In some cases, the signal generator 112 may utilize pulse-width modulation (PWM) circuits to achieve fine control over signal amplitude through duty cycle adjustment. The signal generator 112 may incorporate isolation circuits or optocouplers that provide electrical isolation between control circuitry and output stages to enhance user safety. The signal generator 112 may include current sensing circuits that monitor output current in real-time and provide feedback to the controller 106 for closed-loop amplitude control and safety monitoring.

[0067] With continued reference to FIG. 1, the signal processing module 110 may process signals received from the sensors 104 and other system components. The signal processing module 110 may analyze physiological data to determine user state and provide feedback for signal parameter adjustment. The external control interface 108 may provide a means for external control and communication with the controller 106, enabling researchers or clinicians to monitor system operation and adjust parameters during vestibular suppression sessions.

[0068] The safety interlock system 114 may monitor the operation of the system 100 to maintain safe operating conditions. In some cases, the safety interlock system 114 may include a hardware interlock to ensure the device cannot be switched on when a charging cable is being used. The safety interlock system 114 may prevent simultaneous charging and operation to eliminate potential safety hazards. The safety interlock system 114 may include hardware and / or software configured to limit the electrical signal applied to the user via the electrode 102 below a safe threshold.

[0069] The calibration module 116 may perform calibration procedures to optimize system parameters for individual users. The calibration module 116 may implement a ramping procedure that gradually increases current amplitude until a user perception threshold is detected, then reduces the current to a level below the perception threshold. This calibration approach may ensure101626944045PATENTAttorney Docket No.: QVR1100-2WO effective vestibular suppression while maintaining user comfort and minimizing awareness of the electrical suppression. Further details on calibration are provided in reference to FIG. 6.

[0070] The predictive module 122 may provide predictive capabilities for anticipating user discomfort levels during digital experiences. In some embodiments, the predictive module 122 may use machine learning or artificial intelligence techniques to predict discomfort based on user data, physiological signals from the sensors 104, and digital experience data from the extended reality display device 120. The predictive module 122 may analyze patterns in the collected data to identify early indicators of motion sickness onset and may generate predictions that inform the operation of other modules within the controller 106. In some cases, the predictive module 122 may work in coordination with the signal generator 112 to adjust signal parameters based on predicted discomfort levels, and may work with the calibration module 116 to optimize suppression parameters for individual users.

[0071] As further shown in FIG. 1, the system 100 may include a SHAM shutoff capability that allows the device to be turned down or off during testing without the user being aware. This SHAM functionality may enable double-blind testing protocols where neither the user nor the test administrator knows whether active suppression is being applied. The SHAM capability may support rigorous scientific evaluation of vestibular suppression effectiveness. The SHAM shutoff capability may enable controlled deactivation or reduction of the vestibular suppression signal without the knowledge of the user or test administrator. This capability may allow the system 100 to transition between active suppression and inactive states while maintaining the appearance of normal operation, including any visual indicators, sounds, or sensations that might otherwise signal device status. The SHAM functionality may be particularly valuable in research settings where blinded experimental protocols are required to eliminate placebo effects and ensure objective assessment of treatment efficacy. In some cases, the SHAM shutoff may maintain minimal current levels or simulate the sensation of active suppression through alternative means to preserve user and administrator blinding throughout the testing period.

[0072] In some embodiments, the system 100 may include one or more sensors 104. The sensors 104 may monitor physiological parameters of the user and provide corresponding signals to the controller 106 through the signal processing module 110. The sensors 104 may include heart rate sensors, perspiration sensors, skin temperature sensors, or other physiological monitoring devices that provide real-time feedback on user state during extended reality experiences.

[0073] The extended reality display device 120 may provide a digital experience to the user and may communicate bidirectionally with the controller 106. In some cases, the extended reality display device 120 may comprise one or more physical anchors to align a virtual digital twin with 111626944045PATENTAttorney Docket No.: QVR1100-2WO the physical environment. This physical anchoring may provide spatial reference points that enhance user orientation and reduce disorientation during extended reality experiences. The extended reality display device 120 may include various commercially available head-mounted displays including Meta Quest devices, Apple Vision Pro, HTC Vive systems, Valve Index, PlayStation VR headsets, Pico headsets, Microsoft HoloLens, Magic Leap devices, or other virtual reality, augmented reality, or mixed reality display systems. In some cases, the extended reality display device 120 may also include smartphone-based VR systems, projection-based immersive environments, or cave automatic virtual environment (CAVE) systems that provide extended reality experiences through alternative display configurations.

[0074] The system 100 may include high-performance hardware components to minimize latency and performance issues that could trigger motion sickness. In some cases, the system may incorporate a high-performance graphic processing unit (e.g., NVIDIA GeForce RTX 5090, AMD Radeon RX 7900 XTX, Intel Arc A770, etc.) and a dedicated WiFi router (e.g., WiFi 6) to ensure optimal visual performance and reduce latency-induced motion sickness. The high-performance hardware configuration may maintain consistent frame rates and minimize visual artifacts that could contribute to user discomfort.

[0075] The database 118 may be communicatively coupled to the controller 106 and may store data related to user profiles, system parameters, sensor readings, and digital experience information. The database 118 may maintain historical data for machine learning model training and may provide personalized parameter settings based on individual user characteristics and previous session outcomes.

[0076] Referring to FIG. 2, a system 200 may provide integrated control and management of extended reality experiences through a comprehensive plugin architecture. The system 200 may include a galvanic vestibular stimulation (GVS) plugin 202 that serves as a central hub for coordinating data collection 204 and system control functions. The GVS plugin 202 may be packaged inside digital experience applications to provide direct access to experience data that may be typically unavailable to end users, including video frames, user inputs, operational logic, simulated physics, and story progression parameters.

[0077] The data collection 204 module may gather information from multiple sources to support machine learning model training and real-time decision making. The data collection 204 may interface with the sensors 104 to obtain physiological monitoring data during extended reality experiences. In some cases, the sensors 104 may include smartwatch integration capability for additional sensor data collection from various brands, providing heart rate data, heart rate variability data, perspiration data, and other physiological parameters. The system 200 may also 121626944045PATENTAttorney Docket No.: QVR1100-2WO incorporate electroencephalogram (EEG) sensor integration capability for brain activity monitoring during digital experiences, enabling electroencephalography data collection for enhanced user state assessment.

[0078] With continued reference to FIG. 2, the system 200 may utilize demographics 212 that capture user demographic information to influence motion sickness susceptibility predictions. The demographics 212 may include user age data, user gender data, user height data, user weight data, education level data, socio-economic status data, and psychographic segmentation parameters. The demographics 212 may provide personalized experience profiles that enable the system 200 to tailor interventions based on individual user characteristics and historical response patterns.

[0079] The system 200 may incorporate a subjective motion sickness (MS) rating 216 component that provides user-reported feedback regarding motion sickness symptoms during extended reality experiences. The subjective MS rating 216 may implement a 5-tier rating system that evolved from comfort-based to symptom-based evaluation, with ratings from 0-4 focusing on symptomatic perception of cybersickness. In some cases, the rating system may define 0 as no symptoms, 1 as moments of motion sickness lasting less than 30 seconds to recover, 2 as motion sickness lasting 1 minute or more to recover, 3 as feeling that headaches or nausea will occur within 30 seconds, and 4 as experiencing headache, nausea, or identifying as motion sick.

[0080] A motion sickness susceptibility context 218 may evaluate user predisposition to motion sickness based on historical and contextual factors. The motion sickness susceptibility context 218 may incorporate a Motion Sickness Susceptibility Questionnaire (MSSQ) for pre-screening users to identify motion sickness susceptibility.

[0081] As further shown in FIG. 2, the system 200 may include fine tuning 214 that enables adjustment and optimization of system parameters based on knowledge and user-specific requirements. The fine tuning 214 may be communicatively coupled to the subjective MS rating 216 and the external control interface 108, enabling the system 200 to monitor and adjust system parameters in real-time during extended reality sessions.

[0082] The GVS plugin 202 may process collected data and communicate with multiple control modules to modify extended reality experiences dynamically. The system 200 may include a control / change extended reality experience 220 module that receives inputs from the GVS plugin 202 and adjusts extended reality environments accordingly. The control / change extended reality experience 220 module may implement various mitigation strategies including GVS 206, visual control 208, and other controls 210.

[0083] The GVS 206 component may deliver galvanic vestibular suppression to reduce motion sickness symptoms through the electrode 102 and signal generator 112 described in relation to 131626944045PATENTAttorney Docket No.: QVR1100-2WOFIG. 1. The visual control 208 module may adjust visual parameters of extended reality experiences, including field of view modifications, motion speed adjustments, rendering technique changes, visual contrast adjustments, color saturation modifications, streamed visual parameters, interaction options, or snap rotation implementations. The other controls 210 may encompass additional intervention methods including tactile response modifications, audio output adjustments, wind sensations, smell sensations, and thermostat control for enhanced user experience and comfort.

[0084] An onboarding feature may provide calibration sequence and instructional tutorial for users. The onboarding feature may guide users through initial setup procedures, electrode placement, and calibration protocols to ensure proper system operation and user safety during extended reality sessions.

[0085] As part of onboarding, the system 200 may incorporate a variety of scenarios with increasing intensities of bodily or visual movement, each focusing on specific vestibular and physiological effects. These scenarios may include eye chart reading for visual clarity verification, object tracking for ocular movement assessment, desk interface interaction for fine motor control evaluation, object pickup tasks for physical movement assessment, locomotion tests for spatial navigation evaluation, maze navigation for complex movement patterns, rotation scenarios for vestibular challenge assessment, and uncontrolled movement scenarios for maximum motion sickness induction.

[0086] The system 200 may incorporate careful linguistic protocols with standardized and emotionally neutral scripts to minimize language-induced implications and avoid the Nocebo effect. These protocols may ensure that verbal descriptions during testing do not prime users to expect or focus on discomfort, nausea, or disorientation, thereby maintaining the validity of motion sickness assessments.

[0087] The system 200 may include integration with other controls 210 for external devices such as tactors for vibration suppression, motion platforms with varying degrees of freedom, audio output systems, wind sensation generators, smell sensation devices, and thermostat control systems. These external device integrations may enhance user immersion and provide additional intervention modalities beyond galvanic vestibular suppression and visual modifications.

[0088] Referring to FIG. 3, a head-mounted display 300 may be worn by a user to provide extended reality experiences while galvanic vestibular suppression is applied through the electrode 102. The head-mounted display 300 may be configured as the extended reality display device 120 and may be secured around the head with a strap that extends horizontally across the forehead and around the back of the head. The head-mounted display 300 may encompass the eye 141626944045PATENTAttorney Docket No.: QVR1100-2WO region and may extend laterally to cover the temples, providing an immersive visual environment for the user.

[0089] The electrode 102 may be positioned on the head proximate to mastoid processes of the user to enable effective vestibular suppression during extended reality experiences. As shown in FIG. 3, the electrode 102 may be positioned behind the ear, below and behind the ear region where the mastoid process is located. This positioning may provide optimal signal delivery to the vestibular system while maintaining user comfort during extended use periods.

[0090] In some embodiments, the electrode 102 may be mounted using alternative configurations and placement locations to accommodate different user preferences and device form factors on or below the head. The electrode 102 may be embedded within eyeglass frames or temple arms, allowing the electrode to maintain contact with the skin surface near the mastoid region while the user wears prescription glasses or non-prescription frames during digital experiences. In some cases, the electrode 102 may be attached to eyeglass frames through a flexible extension or arm that positions the electrode proximate to the mastoid process while the glasses rest on the user's ears and nose bridge. The electrode 102 may alternatively be integrated into earbuds or over-ear headphone assemblies, positioning the electrode in contact with skin surfaces near the ear canal or behind the ear. In some aspects, the electrode 102 may be mounted on a headband configuration that wraps around the forehead or crown of the head, with electrode extensions that reach down to contact the mastoid regions. The electrode 102 may be positioned on the neck below the mastoid process, on the temporal region of the skull, or on other skin surfaces that provide access to vestibular nerve pathways. In some cases, the electrode 102 may be incorporated into collar-style wearable devices that position electrodes against the neck or behind the ears. The electrode 102 may also be integrated into hat or cap configurations, sports headbands, or other head-wom accessories that maintain electrode contact during physical activity or extended use periods.

[0091] In some cases, a pair of electrodes may be positioned on opposing sides of the head of the user, with each electrode positioned proximate to the mastoid processes of the person. This bilateral electrode configuration may enable balanced electrical suppression across both vestibular systems, providing consistent suppression effects and reducing the likelihood of asymmetric vestibular responses that could cause disorientation.

[0092] With continued reference to FIG. 3, the electrode 102 may be supported by a harness that maintains consistent contact with the skin surface throughout the vestibular suppression session. The harness may be configured to position and secure the electrode 102 against the mastoid region while accommodating head movement and ensuring stable electrical contact. In some cases, the151626944045PATENTAttorney Docket No.: QVR1100-2WO harness may provide adjustable positioning to accommodate different head sizes and anatomical variations among users.

[0093] The harness supporting the electrode 102 may be integrated with the head-mounted display 300 harness to provide a unified wearable system. This integrated harness configuration may eliminate the need for separate mounting systems and may reduce setup complexity for users. The integrated harness may ensure that the electrode 102 maintains proper positioning relative to the head-mounted display 300, preventing displacement during head movements or extended reality interactions.

[0094] Referring to FIG. 4A, PWM (pulse width modulation) galvanic vestibular suppression signals may be characterized by specific waveform patterns that enable effective vestibular suppression while maintaining user comfort and safety. A voltage waveform 400 may illustrate a PWM wave pattern that alternates between positive voltage V+ and negative voltage V- over time t. The voltage waveform 400 may demonstrate left (L) and right (R) electrode output lines, showing the alternating voltage delivery to opposing electrodes positioned proximate to mastoid processes of a user. In some embodiments, V+ and V- may be any value between ±18 V.

[0095] Below the voltage waveform 400, a corresponding current waveform 410 may display the resulting current output that alternates between positive current 1+ and negative current I- over time t. The current waveform 410 may correspond directly to the voltage transitions shown in the voltage waveform 400, demonstrating how voltage changes translate to current delivery through the electrode 102 to the user's vestibular system. In some embodiments, 1+ and I- may be ±3 mA.

[0096] With reference to FIG. 4B, a bipolar output voltage waveform 415 may present an alternative bipolar rectangular pattern with voltage alternating between V± and V- over time t. The voltage waveform 415 may include representations of the left (L) and right (R) electrode outputs, illustrating the coordinated signal delivery across bilateral electrode configurations. In some embodiments, V± and V- may be ±12 V and -12 V, respectively. Below the voltage waveform 415, a corresponding current waveform 420 may show the current output alternating between I± and I- over time t, with current pulses corresponding to the voltage transitions in the voltage waveform 415. In some embodiments, I± and I- may be ±3 mA.

[0097] The bipolar rectangular wave signals shown in the voltage waveform 400, current waveform 410, voltage waveform 415, and current waveform 420 may maintain a duty cycle of approximately 50%. This 50% duty cycle may mean that the signal spends equal time in positive and negative phases, with half the time delivering current in one direction and half the time delivering current in the opposite direction. The 50% duty cycle configuration may reduce skin161626944045PATENTAttorney Docket No.: QVR1100-2WO irritation and may provide consistent vestibular suppression effects while minimizing power consumption compared to continuous direct current approaches.

[0098] In some aspects, the duty cycle may be configured to values other than 50% depending on the desired current output characteristics and therapeutic requirements. As demonstrated in FIG. 4A, the duty cycle may be adjusted to modify the effective current delivery to the vestibular system. A duty cycle greater than 50% may increase the proportion of time that current flows in one direction relative to the other, which may bias the vestibular response toward one side or provide asymmetric suppression effects. Conversely, a duty cycle less than 50% may reduce the effective current delivery during the positive phase while increasing delivery during the negative phase. The adjustable duty cycle may enable the system to accommodate different user sensitivities, optimize power consumption for specific applications, or achieve particular vestibular suppression profiles. In some cases, the duty cycle may be dynamically adjusted during a vestibular suppression session based on real-time feedback from physiological sensors or user- reported comfort levels.

[0099] As further shown in FIGS. 4A-4B, the signal generator 112 may produce signals having frequencies between 10 Hz and 60 Hz for effective vestibular suppression applications. The signal generator 112 may operate with a communication frequency limitation of 30 Hz due to RS232 communication protocol constraints, resulting in an effective output waveform of 15 Hz. This frequency limitation may arise because the RS232 communication protocol requires two commands to complete a full waveform cycle, effectively halving the achievable output frequency compared to the communication frequency.

[0100] The current amplitude parameters shown in the current waveform 410 and current waveform 420 may be any value in a range from 0.1 mA to 3 mA, providing flexibility for individual user calibration and comfort optimization. In some cases, the operational current amplitude may be less than 1 mA for effective vestibular suppression without user perception of the electrical suppression. The lower current amplitudes may enable transparent operation where users remain unaware of the galvanic vestibular suppression while receiving motion sickness mitigation benefits.

[0101] The signal characteristics illustrated in FIGS. 4A-4B may be applied through the electrode 102 positioned proximate to mastoid processes of the user, as described in relation to FIG. 3. The bipolar rectangular wave signals may be delivered simultaneously to bilateral electrodes to provide balanced vestibular suppression across both sides of the vestibular system. The alternating current delivery may create a desensitizing effect on the peripheral vestibular nerve, reducing the hyperactivity that contributes to motion sickness symptoms in susceptible individuals.171626944045PATENTAttorney Docket No.: QVR1100-2WO

[0102] In some embodiments, the signal generator 112 may be configured to generate signals with various additional parameters and waveform characteristics for vestibular suppression. The system may consider parameters such as frequency modulation, where the frequency of the alternating current signal may be varied over time to achieve different suppression effects or to optimize suppression for individual users. In some cases, peak-to-peak current shifts may be applied to bias the vestibular response toward one side, which may be useful for addressing asymmetric vestibular sensitivity or for targeting specific vestibular responses. The signal generator 112 may produce variations of analog signals including triangle waves, square waves, sinusoidal waves, trapezoidal waves, and other waveform shapes, each of which may provide different suppression characteristics and may be selected based on individual user response or specific application requirements. Other properties of analog signals that may be adjusted include rise time, fall time, duty cycle variations, amplitude modulation, and phase relationships between bilateral electrode signals. These additional signal parameters may enable fine-tuning of the vestibular suppression effect and may allow the system to accommodate a wider range of user sensitivities and wellness requirements.

[0103] In some embodiments, the system may utilize stereo-based receptors that allow for steering the electrical stimulation to more effectively target the vestibular nerve. The stereo-based receptor configuration may enable directional control of the stimulation field, allowing the system to focus the electrical signals on specific vestibular structures while minimizing stimulation of surrounding tissues. This steering capability may improve the efficiency of vestibular suppression and may reduce the current levels required to achieve beneficial effects.

[0104] The calibration module 116 may adjust the signal parameters shown in the voltage waveform 400, current waveform 410, voltage waveform 415, and current waveform 420 based on individual user characteristics and perception thresholds. The calibration process may involve gradually increasing current amplitude until a user perception threshold is detected, then reducing the current amplitude to a level below the perception threshold while maintaining effectiveness. This calibration approach may ensure that the bipolar rectangular wave signals provide vestibular suppression benefits without causing user discomfort or awareness of the electrical suppression.

[0105] The signal characteristics may be optimized for continuous application during extended reality experiences, providing consistent vestibular suppression throughout digital interactions. The 50% duty cycle and alternating current delivery may enable extended use periods without causing skin irritation or adaptation effects that could reduce effectiveness over time. The signal parameters may be dynamically adjusted by the controller 106 based on real-time feedback from181626944045PATENTAttorney Docket No.: QVR1100-2WO the sensors 104 and predicted discomfort levels generated by machine learning models integrated into the system 200.

[0106] Referring to FIG. 5, a method 500 may provide systematic signal generation and application for vestibular suppression to treat motion sickness in extended reality environments. The method 500 may include a step 502 where user data and environmental data are received. The user data may include information corresponding to a digital experience profile of a user, including demographic information, motion sickness susceptibility data, and historical response patterns collected through the demographics 212 and motion sickness susceptibility context 218 components. The environmental data may include information about conditions in which the user is experiencing a digital experience, such as ambient temperature, lighting conditions, or physical space constraints that may influence motion sickness susceptibility.

[0107] The method 500 may include a step 504 where signal characteristics are generated based on the user data and the environmental data received in the step 502. The signal characteristics may include parameters such as frequency, amplitude, waveform type, and duration that are tailored to the specific user and their environment. The signal characteristics may be determined by analyzing individual user sensitivity profiles, previous session outcomes stored in the database 118, and real-time environmental factors that may influence vestibular suppression effectiveness. The calibration module 116 may contribute to generating the signal characteristics by providing individualized parameter settings based on user perception thresholds and comfort levels.

[0108] With continued reference to FIG. 5, the method 500 may include a step 506 where a signal is generated based on the signal characteristics determined in the step 504. The signal generator 112 may produce the signal configured to stimulate the vestibular system when applied to the user. The generated signal may comprise a bipolar rectangular wave with characteristics matching the voltage waveform 400 and current waveform 410 described in relation to FIGS. 4A-4B. The signal may have a frequency between 10 Hz and 60 Hz and a current amplitude between 0.1 mA and 3 mA, with specific parameters adjusted based on the signal characteristics generated in the step 504.

[0109] The method 500 may include a step 508 where the signal is applied to the electrode 102 to suppress the vestibular system. The electrode 102 may be positioned on the skin surface of the user, such as behind the ear or on the neck proximate to mastoid processes, to deliver the signal to the vestibular nerve. The step 508 may involve coordinated delivery of the signal through bilateral electrodes positioned on opposing sides of the head to provide balanced vestibular suppression effects.191626944045PATENTAttorney Docket No.: QVR1100-2WO

[0110] The method 500 may demonstrate a systematic approach to personalizing vestibular suppression based on individual user characteristics and environmental factors. The sequential steps of the method 500 may enhance the effectiveness of motion sickness mitigation in digital experiences by ensuring that signal parameters are optimized for each user's specific needs and environmental conditions. The method 500 may be implemented through the controller 106 coordinating with the signal generator 112, calibration module 116, and other system components to deliver customized vestibular suppression.

[0111] A method of treating motion sickness in a person may comprise positioning at least one electrode on a skin surface of the person proximate to a mastoid region. The positioning may involve placing the electrode 102 behind the ear in the mastoid area where the skin layer is relatively thin and provides effective access to underlying vestibular nerve pathways. In some cases, positioning the at least one electrode may comprise positioning a pair of electrodes on opposing sides of a head of the person, with each electrode positioned proximate to the mastoid processes to enable bilateral vestibular suppression.

[0112] The method of treating motion sickness may include generating an alternating current signal having a frequency in a range from 1 Hz to 60 Hz and a current amplitude in a range from 0.1 mA to 3 mA. The signal generator 112 may produce the alternating current signal with characteristics corresponding to the voltage waveform 415 and current waveform 420 patterns. The alternating current signal may comprise a bipolar rectangular wave with a duty cycle of approximately 50%, providing equal time in positive and negative phases to minimize skin irritation while maintaining therapeutic effectiveness.

[0113] The method may include applying the alternating current signal to at least one electrode to stimulate a vestibular system of the person. The application may involve delivering the signal through the electrode 102 positioned proximate to mastoid processes, where the electrical suppression may suppress hyperactive vestibular responses that contribute to motion sickness symptoms. The vestibular system suppression may reduce the sensitivity of the vestibular nerve to sensory conflicts that occur during extended reality experiences.

[0114] The method may include maintaining the suppression for a duration sufficient to reduce motion sickness symptoms in the person. In some cases, maintaining the suppression may comprise applying the calibrated alternating current signal for a duration of at least 2 minutes before the person enters a motion-inducing environment. This pre-conditioning period may allow the vestibular suppression effects to build up and establish resistance to motion sickness before exposure to potentially triggering stimuli. The motion-inducing environment may comprise an201626944045PATENTAttorney Docket No.: QVR1100-2WO extended reality environment provided through the extended reality display device 120 or headmounted display 300.

[0115] The duration requirement may enable cumulative vestibular suppression effects that persist even after the signal is discontinued. This after-effect may extend the time users can engage with extended reality content without experiencing motion sickness symptoms, even if the galvanic vestibular suppression is reduced or temporarily discontinued during the extended reality experience.

[0116] The method may include monitoring physiological parameters of the person during the suppression to assess effectiveness of the suppression. The sensors 104 may monitor physiological parameters including heart rate and perspiration data to provide real-time feedback on user state and treatment effectiveness. The physiological monitoring may enable dynamic adjustment of suppression parameters based on user response and may provide objective measures of motion sickness mitigation beyond subjective user reports.

[0117] Referring to FIG. 6, a method 600 may provide calibration of galvanic vestibular suppression for personalized user treatment. The method 600 may enable individualized parameter optimization to ensure effective vestibular suppression while maintaining user comfort and minimizing perception of electrical suppression. The method 600 may be implemented through the controller 106 in coordination with the calibration module 116 to establish optimal suppression parameters for each user based on individual sensitivity characteristics.

[0118] The method 600 may include a step 602 where electrodes are placed below the mastoids. The step 602 may involve positioning the electrode 102 on the skin surface proximate to mastoid processes of the user, where the bone structure provides anatomical landmarks for consistent electrode placement. The electrode placement below the mastoids may provide optimal access to vestibular nerve pathways while ensuring stable electrical contact throughout the calibration procedure. In some cases, the step 602 may involve positioning a pair of electrodes on opposing sides of the head, with each electrode positioned below the respective mastoid process to enable bilateral suppression calibration.

[0119] The method 600 may include a step 604 which involves gradually ramping up the current applied through the electrodes. The step 604 may be implemented by the controller 106 through the signal generator 112, which may incrementally increase current amplitude in controlled steps to approach the user's perception threshold safely. The gradual ramping approach may prevent sudden suppression that could be startling or uncomfortable for the user. In some cases, the step 604 may involve increasing current amplitude by increments corresponding to quantization precision available through the signal generator 112. The ramping procedure may begin at zero 211626944045PATENTAttorney Docket No.: QVR1100-2WO current and may increase systematically until the user reports perception of the electrical suppression.

[0120] With continued reference to FIG. 6, the method 600 may include a step 606 where the user perception threshold is detected. The step 606 may identify the point at which the user begins to perceive the electrical suppression, often described by users as a "tingle" or "itch" sensation in the mastoid region. The perception threshold detection may be based on user feedback provided through the external control interface 108, where the user may indicate when the electrical suppression becomes noticeable. The step 606 may represent a critical calibration point that establishes the upper boundary for comfortable suppression levels for each individual user.

[0121] The controller 106 may implement the perception threshold detection by monitoring user responses during the gradual current increase performed in the step 604. The controller 106 may record the current amplitude at which perception occurs and may use this threshold value to determine optimal suppression parameters for the individual user. The perception threshold may vary significantly among users due to differences in skin impedance, anatomical variations, and individual sensitivity to electrical suppression.

[0122] Following detection of the perception threshold, the method 600 may include a step 608 where the current is reduced below the threshold. The step 608 may ensure that the suppression remains effective while being imperceptible or minimally perceptible to the user. The current reduction may enable therapeutic vestibular suppression without causing user discomfort or awareness of the electrical suppression during extended reality experiences. The step 608 may be implemented by the controller 106 through adjustment of signal generator 112 parameters to achieve the reduced current amplitude.

[0123] As further shown in FIG. 6, the step 608 may include reducing the current by approximately 0.08 mA to 0.3 mA below the perception threshold. This specific reduction amount may achieve optimal suppression levels personalized to individual user sensitivity while maintaining effectiveness. The reduction may represent a calibrated offset that accounts for individual variability in perception thresholds and may ensure consistent results across different users.

[0124] The calibration approach demonstrated by the method 600 may provide several technical advantages over fixed-parameter suppression approaches. The personalized calibration may ensure that each user receives optimal suppression levels that are neither insufficient for desired effect nor excessive to cause discomfort or perception. The method 600 may enable the system 100 to accommodate wide variations in user sensitivity and anatomical differences that could otherwise compromise effectiveness.221626944045PATENTAttorney Docket No.: QVR1100-2WO

[0125] The method 600 may be repeated during extended reality sessions to maintain optimal suppression parameters as conditions change. Factors such as skin moisture, electrode contact quality, or user adaptation to suppression may influence the optimal current amplitude over time. The controller 106 may implement periodic recalibration procedures based on the method 600 to ensure consistent effectiveness throughout extended use periods.

[0126] The calibration module 116 may store calibration results from the method 600 in the database 118 to enable personalized parameter settings for future sessions. The stored calibration data may include perception threshold values, optimal current amplitudes, and user-specific response patterns that can inform subsequent sessions. This historical calibration data may enable the system 100 to provide consistent personalized support across multiple sessions while reducing setup time for repeat users.

[0127] Referring to FIG. 7, a method 700 may provide machine learning-based prediction and enhancement of digital experiences to mitigate user discomfort before symptoms manifest. The method 700 may enable proactive intervention through real-time analysis of multiple data sources and predictive modeling to identify potential discomfort conditions and implement appropriate multi-modal mitigation strategies. The method 700 may be implemented through the controller 106 in coordination with the system 200 components to provide comprehensive user monitoring and experience optimization.

[0128] The method 700 may include a step 702 where user data corresponding to a digital experience profile of a user is obtained. The step 702 may involve collecting comprehensive user information through the demographics 212 and motion sickness susceptibility context 218 components to establish individual user characteristics that influence motion sickness susceptibility. The user data may comprise user demographic data, user age data, user gender data, user height data, user weight data, motion sickness susceptibility data, or historical digital experience data that provides context for personalized prediction algorithms. The step 702 may access stored user profiles from the database 118 that contain previous session outcomes, calibration parameters, and response patterns specific to each individual user.

[0129] With continued reference to FIG. 7, the method 700 may include a step 704 where physiological signals corresponding to a physiological state of the user are received from one or more sensors. The step 704 may be implemented through the sensors 104 that monitor various physiological parameters during extended reality experiences. The physiological signals may comprise heart rate data, heart rate variability data, electrocardiogram data, blood glucose level data, respiration rate data, perspiration data, skin temperature data, body temperature data, cortisol level data, blood pressure data, blood oxygen level data, facial coloration data, eye dilation data, 231626944045PATENTAttorney Docket No.: QVR1100-2WO electroencephalography data, eye tracking data, head position data, body pose data, or gait data that provide real-time indicators of user physiological state and potential discomfort onset.

[0130] The method 700 may include a step 706 where digital experience data corresponding to a digital experience being presented to the user is obtained. The step 706 may be implemented through the GVS plugin 202 that provides direct access to extended reality application parameters typically unavailable to external monitoring systems. The digital experience data may comprise a type of digital experience, video frame data, user input data, operational logic data, simulated physics data, point of view data, content data, color data, contrast data, tone data, or story progression data that characterizes the current and upcoming experience elements that may influence user comfort levels.

[0131] As further shown in FIG. 7, the method 700 may include a step 708 where a machine learning model is used to predict a discomfort level of the user during the digital experience based on the user data, the physiological signals and the digital experience data. The step 708 may analyze the collected data through trained algorithms that identify patterns and correlations indicating impending motion sickness symptoms or user discomfort. The machine learning model may be trained using training data comprising digital experience profiles of multiple users, physiological signals corresponding to physiological states of the multiple users, and digital experience data corresponding to multiple digital experiences collected through previous testing sessions and user studies.

[0132] The machine learning model may predict discomfort levels that comprise predicting at least one of motion sickness symptoms, nausea, headache, dizziness, disorientation, or visual discomfort based on analysis of the input data sources. The prediction capability may enable identification of specific discomfort types that may manifest during different extended reality scenarios, allowing for targeted intervention strategies tailored to the predicted symptoms. The machine learning model may analyze temporal patterns in the physiological signals to detect early indicators of discomfort onset before users become aware of developing symptoms.

[0133] The machine learning model may comprise various architectures and approaches selected based on the prediction task requirements and available training data. In some cases, the machine learning model may utilize supervised learning techniques where labeled training data includes user-reported discomfort levels paired with corresponding physiological signals, user profiles, and digital experience parameters. The supervised learning approach may enable the model to leam direct mappings between input features and discomfort outcomes through algorithms such as random forests, gradient boosting machines, support vector machines, or neural networks. Random forest models may provide advantages in handling high-dimensional feature spaces and 241626944045PATENTAttorney Docket No.: QVR1100-2WO identifying non-linear relationships between physiological parameters and discomfort levels while offering interpretability through feature importance rankings. Gradient boosting approaches may excel at capturing complex interactions between user characteristics, physiological responses, and experience parameters through sequential ensemble learning that iteratively improves prediction accuracy. Deep learning architectures such as recurrent neural networks (RNNs) or long shortterm memory (LSTM) networks may be particularly suited for analyzing temporal patterns in physiological signals, enabling the model to detect subtle changes in heart rate variability, perspiration trends, or other time-series data that precede discomfort onset. Convolutional neural networks (CNNs) may be employed to analyze visual features from digital experience data, identifying motion patterns, visual flow characteristics, or scene complexity factors that correlate with motion sickness susceptibility.

[0134] The machine learning model may also incorporate unsupervised learning techniques to identify latent patterns in user responses and cluster users into distinct sensitivity profiles without requiring explicit labels. Clustering algorithms such as k-means, hierarchical clustering, or Gaussian mixture models may segment users based on physiological response patterns, enabling personalized prediction thresholds and intervention strategies tailored to specific user groups. Semi-supervised learning approaches may leverage both labeled and unlabeled data to improve model generalization when labeled training examples are limited, utilizing techniques such as selftraining or co-training to expand the effective training dataset. Reinforcement learning methods may be applied to optimize intervention timing and intensity by treating the discomfort mitigation task as a sequential decision problem where the model leams optimal policies through trial-and- error interactions with users. The model space may encompass ensemble methods that combine predictions from multiple algorithms to improve robustness and accuracy, with techniques such as stacking or blending integrating diverse model types to capture complementary aspects of the prediction problem. Transfer learning approaches may enable the model to leverage knowledge from related domains or pre-trained networks, reducing the amount of domain-specific training data required while improving prediction performance for new users or novel extended reality scenarios. The machine learning model may implement online learning capabilities that enable continuous model updates based on real-time user feedback and physiological responses, allowing the system to adapt to individual user characteristics and improve prediction accuracy over successive sessions.

[0135] The method 700 may include a step 710 where the digital experience is enhanced based on the predicted discomfort level. The step 710 may be implemented through the control / change extended reality experience 220 module that coordinates multiple intervention strategies including 251626944045PATENTAttorney Docket No.: QVR1100-2WO galvanic vestibular suppression through the GVS 206 component and experience parameter modifications. The enhancement may involve generating a signal that, when delivered to a skin surface of the user, suppresses a vestibular system of the user, and / or modifies a parameter of the digital experience to reduce predicted discomfort.

[0136] The parameter modification implemented in the step 710 may comprise at least one of adjusting a field of view, modifying a motion speed, changing a rendering technique, adjusting visual contrast, modifying color saturation, modifying streamed visual parameters, adjusting an interaction with the digital experience, or implementing snap rotation. These modifications may be applied selectively based on the specific discomfort type predicted by the machine learning model and the individual user sensitivity profile established through the user data collected in step 702. The field of view adjustments may reduce peripheral motion cues that contribute to motion sickness, while motion speed modifications may decrease the rate of visual flow that can trigger vestibular conflicts.

[0137] The method 700 may include continuous monitoring of the physiological signals during the digital experience to enable dynamic response to changing user conditions. The continuous monitoring may involve repeatedly executing the step 704 to obtain updated physiological data throughout the extended reality session. The method 700 may include updating the predicted discomfort level based on the continuously monitored physiological signals, enabling real-time adjustment of prediction accuracy as user state changes during the experience.

[0138] The method 700 may be configurable to prioritize between vestibular suppression and digital experience modification based on multiple factors including predicted discomfort severity, user preferences, and experience context. In some cases, the controller 106 may implement a hierarchical decision framework where mild predicted discomfort levels trigger visual parameter modifications through the visual control 208 module, while moderate to severe predicted discomfort levels activate galvanic vestibular suppression through the GVS 206 component. The prioritization strategy may consider the nature of the extended reality content, where narrative- critical scenes or interactive gameplay segments may favor vestibular suppression to preserve experience integrity, while less critical content periods may permit more aggressive visual modifications. The method 700 may analyze user preference data stored in the database 118 to determine individual tolerance for experience modifications versus vestibular suppression, enabling personalized intervention strategies that align with user comfort priorities. In other embodiments, the user may select preferences related to the response. For example, a user may choose to prioritize responses that minimize interference with the immersion of the digital experience. In some aspects, the GVS plugin 202 may evaluate the technical feasibility of 261626944045PATENTAttorney Docket No.: QVR1100-2WO experience modifications based on current application state, prioritizing vestibular suppression when digital experience parameters cannot be adjusted without disrupting core functionality or user interactions. The method 700 may implement adaptive prioritization algorithms that learn optimal intervention strategies over time, analyzing historical effectiveness data to determine which combination of vestibular suppression and experience modification provides maximum discomfort mitigation for specific user profiles and experience types. The controller 106 may coordinate simultaneous application of both intervention strategies when predicted discomfort levels exceed predetermined thresholds, combining reduced-intensity vestibular suppression with complementary visual modifications to achieve additive therapeutic effects while minimizing individual intervention intensity.

[0139] The method 700 may include dynamically adjusting at least one of the signal or the parameter of the digital experience based on the updated predicted discomfort level. This dynamic adjustment capability may enable responsive intervention that adapts to changing user conditions and experience content in real-time. The controller 106 may coordinate these dynamic adjustments through communication with the signal generator 112 for vestibular suppression modifications and the GVS plugin 202 for experience parameter changes.

[0140] The prediction process implemented in the step 708 may comprise determining a current discomfort state of the user based on the physiological signals received in the step 704. The current discomfort state determination may analyze real-time physiological data to assess immediate user comfort levels and identify any existing symptoms or physiological indicators of developing discomfort. The prediction process may include predicting a future discomfort state of the user based on the digital experience data obtained in the step 706, analyzing upcoming experience content and interaction requirements to anticipate potential discomfort triggers.

[0141] The system may include progressive training capability where users undergo multiple extended reality sessions with increasing motion inducing experiences to create trainable resistance to motion sickness and increased functional capacity. The progressive training may involve exposing users to gradually more challenging extended reality scenarios over multiple sessions, building tolerance and confidence through controlled exposure to motion-inducing content. This progressive approach may enable users to develop adaptation to extended reality environments while receiving support from galvanic vestibular suppression and experience modifications as needed.

[0142] The progressive training capability may implement exposure increments that allow users to build confidence and reduce negative associations with extended reality experiences. The training sessions may be customized based on individual user progress and comfort levels, with 271626944045PATENTAttorney Docket No.: QVR1100-2WO the machine learning model tracking improvement over time and adjusting training parameters accordingly. The database 118 may store progressive training data to monitor user development and optimize training protocols for maximum effectiveness in building motion sickness resistance.

[0143] The method 700 may enable comprehensive user monitoring and experience optimization that addresses motion sickness challenges through multiple coordinated intervention strategies. The integration of machine learning prediction with real-time physiological monitoring and dynamic experience modification may provide technical improvements over conventional reactive approaches to motion sickness management in extended reality environments.

[0144] Referring to FIG. 8, a system 800 may provide integrated management of digital experiences and coordination of vestibular suppression through a combination of hardware and software components. The system 800 may provide reduce motion sickness in a user 808.

[0145] A smart module may include hardware sensors 802 that monitor physiological parameters of the user 808. The hardware sensors 802 may include a gyroscope, an inertial measurement unit (IMU), a heart rate sensor, a galvanic skin response (GSR) sensor, an electroencephalography (EEG) sensor, or any other sensor integrated into a display device or associated with the user 808. These hardware sensors 802 may provide real-time physiological data from the user 808 during digital experiences. The smart module may further include a controller 804 that is communicatively coupled to the hardware sensors 802 and provides wireless communication capability. A GVS 806 component may be connected to the user 808 and may provide galvanic vestibular suppression for motion sickness mitigation.

[0146] The smart plugin may include software sensors 810 that capture data from the digital experience. The software sensors 810 may comprise controller input monitoring, environment state tracking, player location detection, and camera recording components that monitor various aspects of the digital experience. The smart plugin may include a digital experience collection 812 module that gathers data from the software sensors 810 and coordinates with a smart module connection 814. A sensor collection process may aggregate data from both the hardware sensors 802 through the smart module connection 814 and the software sensors 810 through the digital experience collection 812.

[0147] The smart plugin may further collect user data 818 including user settings and demographics 212.

[0148] A data parsing 820 module may receive data from the sensor collection process and transmit parsed data to the Al module 822. The Al module 822 may process the received data and perform multiple analysis functions. The Al module 822 may predict user awareness 824 (the state of the user 808) experience evaluation 826 (the quality and characteristics of the digital 281626944045PATENTAttorney Docket No.: QVR1100-2WO experience), and comfort estimation 828 (discomfort levels of the user 808 during the digital experience). Based on these analyses, the Al module 822 may generate control adjustment 830 outputs that are configured to adjust software and hardware controls to reduce user discomfort. The control adjustment 830 may feed back to the smart plugin to modify the digital experience settings 816 and to the smart module to adjust the GVS 806 parameters, creating a closed-loop system for dynamic comfort optimization during digital experiences.

[0149] The digital experience settings 816 may control parameters of the digital experience. The digital experience settings 816 may comprise lighting controls, environment settings, camera rotation type, camera rotation speed parameters, or other customizable settings that may be adjusted to modify the digital experience based on user comfort requirements.

[0150] Referring to FIG. 9, a system 900 may provide comprehensive computing architecture for managing digital experiences and coordinating vestibular suppression through integrated hardware and software components. The system 900 may include a processor 910, a signal generator 112, a user interface 914, a display device 918, a network device 920, and a memory 922, all communicatively coupled via a bus 912. The system 900 may be communicatively coupled to the sensors 104, the Extended reality display device 120, and an extended reality device 120 to provide coordinated control over multiple system functions including physiological monitoring, vestibular suppression delivery, and digital experience management.

[0151] The processor 910 may execute instructions and process data to control the operation of the system 900. The processor 910 may be bidirectionally connected to the bus 912, enabling communication with other components of the system 900 for coordinated system operation. The processor 910 may implement machine learning algorithms for predicting user discomfort levels based on physiological data from the sensors 104 and digital experience data from the Extended reality display device 120. In some cases, the processor 910 may coordinate real-time analysis of multiple data streams to enable proactive intervention strategies that prevent motion sickness symptoms before manifestation.

[0152] The signal generator 112 may generate electrical signals for vestibular suppression and may be bidirectionally connected to the bus 912 for communication with the processor 910 and other system components. The signal generator 112 may produce bipolar rectangular wave signals with frequencies between 10 Hz and 60 Hz and current amplitudes between 0.1 mA and 3 mA for delivery through the electrode 102. The signal generator 112 may receive control commands from the processor 910 to adjust signal parameters dynamically based on predicted discomfort levels and individual user calibration settings stored in the memory 922.291626944045PATENTAttorney Docket No.: QVR1100-2WO

[0153] With continued reference to FIG. 9, the user interface 914 may provide a means for user interaction with the system 900 and may receive input from users while displaying information. The user interface 914 may be bidirectionally connected to the bus 912 to enable communication with the processor 910 and other system components. The user interface 914 may implement the external control interface 108 functionality described in relation to FIG. 1, providing researchers or clinicians with monitoring capabilities and parameter adjustment controls during vestibular suppression sessions. In some cases, the user interface 914 may display real-time physiological data from the sensors 104 and may enable manual override of automated control algorithms when necessary.

[0154] The display device 918 may present visual information to users and may be bidirectionally connected to the bus 912 for communication with the processor 910. The display device 918 may provide visual feedback regarding system status, calibration procedures, and user physiological parameters during extended reality sessions. The display device 918 may work in coordination with the user interface 914 to provide comprehensive system monitoring and control capabilities for research or clinical applications.

[0155] The network device 920 may enable communication with external devices and networks, and may be bidirectionally connected to the bus 912 for system integration. The network device 920 may be communicatively coupled to the extended reality device 120, allowing the system 900 to interact with and control extended reality experiences remotely. The network device 920 may implement wireless communication protocols such as Wifi 6 to minimize latency between the system 900 and extended reality devices, reducing potential motion sickness triggers caused by communication delays.

[0156] As further shown in FIG. 9, the memory 922 may store data and instructions for use by the processor 910 and other components, and may be bidirectionally connected to the bus 912. The memory 922 may maintain user profiles, calibration parameters, machine learning model data, and historical session information that enable personalized treatment approaches. The memory 922 may store algorithms for signal parameter optimization, discomfort prediction models, and experience modification protocols that are executed by the processor 910 during system operation.

[0157] The system 900 may coordinate the operation of these components to deliver synchronized vestibular suppression while managing digital experiences presented through the Extended reality display device 120 or the extended reality device 120. The processor 910 may analyze data from the sensors 104 to monitor physiological parameters including heart rate and perspiration data during suppression to assess effectiveness of the suppression. This physiological monitoring301626944045PATENTAttorney Docket No.: QVR1100-2WO capability may enable adaptive control where the processor 910 adjusts signal parameters generated by the signal generator 112 based on real-time user response data.

[0158] The controller 106 described in relation to FIG. 1 may be implemented through the processor 910 and associated components of the system 900. The controller may be communicatively coupled to an extended reality headset through the network device 920, enabling bidirectional communication for coordinated control of vestibular suppression and experience parameters. This communicative coupling may allow the controller to receive real-time data regarding virtual experience content and user interactions while providing control signals for experience modification.

[0159] The controller may be configured to modify one or more parameters of the signal based on characteristics of a virtual experience presented by the extended reality headset. The signal parameter modifications may include adjustments to frequency, current amplitude, or waveform characteristics based on the intensity of motion content, visual flow patterns, or interaction requirements of the virtual experience. The processor 910 may analyze virtual experience characteristics received through the network device 920 and may adjust signal generator 112 parameters accordingly to provide optimal vestibular suppression for specific experience elements.

[0160] The controller may be configured to modify one or more parameters of a virtual experience presented by the extended reality headset to reduce user discomfort. The experience parameter modifications may be implemented through communication with the extended reality device 120 via the network device 920, enabling dynamic adjustment of visual rendering, motion characteristics, or interaction elements. The processor 910 may coordinate these modifications based on predicted discomfort levels and real-time physiological feedback from the sensors 104.

[0161] The system 900 may implement a method of reducing motion sickness that includes monitoring physiological parameters of a person during suppression to assess effectiveness of the suppression. The sensors 104 may provide continuous physiological data to the processor 910 through the bus 912, enabling real-time assessment of effectiveness and user response. The physiological monitoring may enable the processor 910 to determine whether current suppression parameters are providing adequate motion sickness mitigation or require adjustment.

[0162] The physiological parameters monitored by the system 900 may comprise heart rate and perspiration data obtained through the sensors 104. Heart rate data may provide indicators of user stress, anxiety, or physiological arousal that may correlate with motion sickness onset or mitigation effectiveness. Perspiration data may provide additional physiological indicators of user comfort levels and autonomic nervous system responses during extended reality experiences. The 311626944045PATENTAttorney Docket No.: QVR1100-2WO processor 910 may analyze these physiological parameters in combination with user-reported comfort ratings to assess overall treatment effectiveness.

[0163] The system 900 may provide technical improvements over conventional motion sickness management approaches through integrated hardware and software coordination. The processor 910 may enable sophisticated analysis of multiple data streams including physiological monitoring, virtual experience characteristics, and user profile information to optimize both vestibular suppression parameters and experience modifications. This comprehensive approach may provide more effective motion sickness mitigation while maintaining high-quality extended reality experiences for users.

[0164] The memory 922 may store adaptive algorithms that enable the system 900 to learn from user responses over time and improve effectiveness through personalized parameter optimization. The processor 910 may implement machine learning models that analyze historical data stored in the memory 922 to predict optimal suppression parameters and experience modifications for individual users. This adaptive capability may enable the system 900 to provide increasingly effective mitigation as more user data becomes available through repeated sessions.

[0165] A number of implementations have been described. Nevertheless, it will be understood that various modifications may be made without departing from the spirit and scope of the disclosure. Accordingly, other implementations are within the scope of the following claims.

[0166] This disclosure is not limited to the particular systems, devices and methods described, as these may vary. The terminology used in the description is for the purpose of describing the particular versions or embodiments only and is not intended to limit the scope.

[0167] As used in this document, the singular forms “a,” “an,” and “the” include plural references unless the context clearly dictates otherwise. Those having skill in the art can also translate from the plural form to the singular as is appropriate to the context and / or application. Unless defined otherwise, all technical and scientific terms used herein have the same meanings as commonly understood by one of ordinary skill in the art. Nothing in this disclosure is to be construed as an admission that the embodiments described in this disclosure are not entitled to antedate such disclosure by virtue of prior invention. As used in this document, the term “comprising” means “including, but not limited to.”

[0168] It will be understood by those within the art that, in general, terms used herein are generally intended as “open” terms (for example, the term “including” should be interpreted as “including but not limited to,” the term “having” should be interpreted as “having at least,” the term “includes” should be interpreted as “includes but is not limited to,” et cetera). While various compositions, methods, and devices are described in terms of “comprising” various components 321626944045PATENTAttorney Docket No.: QVR1100-2WO or steps (interpreted as meaning “including, but not limited to”), the compositions, methods, and devices also can “consist essentially of’ or “consist of’ the various components and steps, and such terminology should be interpreted as defining essentially closed-member groups.

[0169] In addition, even if a specific number is explicitly recited, those skilled in the art will recognize that such recitation should be interpreted to mean at least the recited number (for example, the bare recitation of "two recitations," without other modifiers, means at least two recitations, or two or more recitations). Furthermore, in those instances where a convention analogous to “at least one of A, B, and C, et cetera” is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (for example, “a system having at least one of A, B, and C” would include but not be limited to systems that have A alone, B alone, C alone, A and B together, A and C together, B and C together, and / or A, B, and C together, et cetera). In those instances where a convention analogous to “at least one of A, B, or C, et cetera” is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (for example, “a system having at least one of A, B, or C” would include but not be limited to systems that have A alone, B alone, C alone, A and B together, A and C together, B and C together, and / or A, B, and C together, et cetera). It will be further understood by those within the art that virtually any disjunctive word and / or phrase presenting two or more alternative terms, whether in the description, sample embodiments, or drawings, should be understood to contemplate the possibilities of including one of the terms, either of the terms, or both terms. For example, the phrase “A or B” will be understood to include the possibilities of “A” or “B” or “A and B.”

[0170] In addition, where features of the disclosure are described in terms of Markush groups, those skilled in the art will recognize that the disclosure is also thereby described in terms of any individual member or subgroup of members of the Markush group.

[0171] As will be understood by one skilled in the art, for any and all purposes, such as in terms of providing a written description, all ranges disclosed herein also encompass any and all possible subranges and combinations of subranges thereof. Any listed range can be easily recognized as sufficiently describing and enabling the same range being broken down into at least equal halves, thirds, quarters, fifths, tenths, et cetera. As a non-limiting example, each range discussed herein can be readily broken down into a lower third, middle third and upper third, et cetera. As will also be understood by one skilled in the art all language such as “up to,” “at least,” and the like include the number recited and refer to ranges that can be subsequently broken down into subranges as discussed above. Finally, as will be understood by one skilled in the art, a range includes each331626944045PATENTAttorney Docket No.: QVR1100-2WO individual member. Thus, for example, a group having 1-3 cells refers to groups having 1, 2, or 3 cells. Similarly, a group having 1-5 cells refers to groups having 1, 2, 3, 4, or 5 cells, and so forth.

[0172] The term “about,” as used herein, refers to variations in a numerical quantity that can occur, for example, through measuring or handling procedures in the real world; through inadvertent error in these procedures; through differences in the manufacture, source, or purity of compositions or reagents; and the like. Typically, the term “about” as used herein means greater or lesser than the value or range of values stated by 1 / 10 of the stated values, e.g., ±10%. The term “about” also refers to variations that would be recognized by one skilled in the art as being equivalent so long as such variations do not encompass known values practiced by the prior art. Each value or range of values preceded by the term “about” is also intended to encompass the embodiment of the stated absolute value or range of values. Whether or not modified by the term “about,” quantitative values recited in the present disclosure include equivalents to the recited values, e.g., variations in the numerical quantity of such values that can occur, but would be recognized to be equivalents by a person skilled in the art.

[0173] While various illustrative embodiments incorporating the principles of the present teachings have been disclosed, the present teachings are not limited to the disclosed embodiments. Instead, this application is intended to cover any variations, uses, or adaptations of the present teachings and use its general principles. Further, this application is intended to cover such departures from the present disclosure as come within known or customary practice in the art to which these teachings pertain.

[0174] In the above detailed description, reference is made to the accompanying drawings, which form a part hereof. In the drawings, similar symbols typically identify similar components, unless context dictates otherwise. The illustrative embodiments described in the present disclosure are not meant to be limiting. Other embodiments may be used, and other changes may be made, without departing from the spirit or scope of the subject matter presented herein. It will be readily understood that various features of the present disclosure, as generally described herein, and illustrated in the Figures, can be arranged, substituted, combined, separated, and designed in a wide variety of different configurations, all of which are explicitly contemplated herein.

[0175] The present disclosure is not to be limited in terms of the particular embodiments described in this application, which are intended as illustrations of various features. Many modifications and variations can be made without departing from its spirit and scope, as will be apparent to those skilled in the art. Functionally equivalent methods and apparatuses within the scope of the disclosure, in addition to those enumerated herein, will be apparent to those skilled in the art from341626944045PATENTAttorney Docket No.: QVR1100-2WO the foregoing descriptions. It is also to be understood that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting.

[0176] Various of the above-disclosed and other features and functions, or alternatives thereof, may be combined into many other different systems or applications. Various presently unforeseen or unanticipated alternatives, modifications, variations or improvements therein may be subsequently made by those skilled in the art, each of which is also intended to be encompassed by the disclosed embodiments.351626944045

Claims

PATENTAttorney Docket No.: QVR1100-2WOCLAIMSWhat is claimed is:

1. A computer-implemented method for providing a digital experience, comprising: obtaining user data corresponding to a digital experience profile of a user; receiving, from one or more sensors, physiological signals corresponding to a physiological state of the user; obtaining digital experience data corresponding to a digital experience being presented to the user; predicting, using a machine learning model, a discomfort level of the user during the digital experience based on the user data, the physiological signals and the digital experience data; and enhancing, based on the predicted discomfort level, the digital experience by performing at least one of: generating a signal that, when delivered to a skin surface of the user, suppresses a vestibular system of the user, and modifying a parameter of the digital experience.

2. The computer-implemented method of claim 1, wherein the user data comprises at least one of: user demographic data, user age data, user gender data, user height data, user weight data, motion sickness susceptibility data, or historical digital experience data.

3. The computer- implemented method of claim 1, wherein the physiological signals comprise at least one of: heart rate data, heart rate variability data, electrocardiogram data, blood glucose level data, respiration rate data, perspiration data, skin temperature data, body temperature data, cortisol level data, blood pressure data, blood oxygen level data, facial coloration data, eye dilation data, electroencephalography data, eye tracking data, head position data, body pose data, or gait data.

4. The computer-implemented method of claim 1, wherein the digital experience data comprises at least one of: a type of digital experience, video frame data, user input data, operational logic data, simulated physics data, point of view data, content data, color data, contrast data, tone data, or story progression data.361626944045PATENTAttorney Docket No.: QVR1100-2WO5. The computer- implemented method of claim 1, wherein the digital experience comprises at least one of: a virtual reality experience, an augmented reality experience, a mixed reality experience, a video game experience, a flight simulation experience, a virtual meditation experience, an avatar experience, a telepresence experience, a digital twin experience, or a movie experience.

6. The computer- implemented method of claim 1, wherein predicting the discomfort level comprises predicting at least one of: motion sickness symptoms, nausea, headache, dizziness, disorientation, or visual discomfort.

7. The computer- implemented method of claim 1, wherein the machine learning model is trained using training data comprising digital experience profiles of multiple users, physiological signals corresponding to physiological states of the multiple users, and digital experience data corresponding to multiple digital experiences.

8. The computer- implemented method of claim 1, wherein generating the signal comprises: generating a bipolar rectangular wave signal having a frequency between 10 Hz and 60 Hz and a current amplitude between 0.1 mA and 3 mA; and applying the signal to one or more electrodes positioned proximate to mastoid processes of the user.

9. The computer-implemented method of claim 8, further comprising: gradually increasing the current amplitude of the signal; detecting a perception threshold at which the user perceives the signal; and reducing the current amplitude to a level below the perception threshold.

10. The computer-implemented method of claim 1, wherein modifying the parameter of the digital experience comprises at least one of: adjusting a field of view, modifying a motion speed, changing a rendering technique, adjusting visual contrast, modifying color saturation, modifying streamed visual parameters, adjusting an interaction with the digital experience, or implementing snap rotation.

11. The computer-implemented method of claim 1, further comprising: continuously monitoring the physiological signals during the digital experience;371626944045PATENTAttorney Docket No.: QVR1100-2WO updating the predicted discomfort level based on the continuously monitored physiological signals; and dynamically adjusting at least one of the signal or the parameter of the digital experience based on the updated predicted discomfort level.

12. The computer- implemented method of claim 1, wherein predicting the discomfort level comprises: determining a current discomfort state of the user based on the physiological signals; predicting a future discomfort state of the user based on the digital experience data; and generating the predicted discomfort level based on the current discomfort state and the future discomfort state.

13. The computer- implemented method of claim 1, further comprising storing, in a database, at least one of: the user data, the physiological signals, the digital experience data, the predicted discomfort level, or parameters of the signal.

14. A vestibular wellness system, comprising: a display device configured to provide a digital experience to a user; one or more electrodes configured to contact a skin surface of the user; a controller communicatively coupled one or more electrodes, the controller configured to: generate a signal between 10 Hz and 60 Hz that, when delivered to the skin surface, suppresses a vestibular system of the user to counteract motion sickness generated by the display device.

15. The vestibular wellness system of claim 14, wherein at least one of the one or more electrodes are configured to be positioned proximate to mastoid processes of the user.

16. The vestibular wellness system of claim 14, wherein the signal comprises a bipolar rectangular wave with a duty cycle of approximately 50%.

17. The vestibular wellness system of claim 14, wherein the signal has a current amplitude of less than 1 mA.381626944045PATENTAttorney Docket No.: QVR1100-2WO18. The vestibular wellness system of claim 14, further comprising a harness configured to support the one or more electrodes in contact with the skin surface.

19. The vestibular wellness system of claim 14, wherein the controller is further configured to: gradually increase a current amplitude of the signal; detect a perception threshold at which the user perceives the signal; and reduce the current amplitude to a level below the perception threshold.

20. The vestibular wellness system of claim 14, wherein the controller is communicatively coupled to the display device.

21. The vestibular wellness system of claim 20, wherein the controller is configured to modify one or more parameters of the signal based on characteristics of the digital experience.

22. The vestibular wellness system of claim 20, wherein the controller is configured to modify one or more parameters of the digital experience.

23. The vestibular wellness system of claim 14, further comprising one or more sensors, wherein the controller is further configured to: obtain user data corresponding to a digital experience profile of the user; obtain signals, from the one or more sensors, corresponding to a physiological state of the user; obtain digital experience data corresponding the digital experience; and predict, using an artificial intelligence model, a discomfort level of the user, based on the user data, the signals, and the digital experience data.

24. A method of reducing motion sickness in a person, comprising: positioning at least one electrode on a skin surface of the person proximate to a mastoid region; generating an alternating current signal having a frequency in a range from 1 Hz to 60 Hz and a current amplitude in a range from 0.1 mA to 3 mA; calibrating the alternating current signal by incrementally increasing the current until the person perceives the signal and then reducing the current below a perception threshold;391626944045PATENTAttorney Docket No.: QVR1100-2WO applying the calibrated alternating current signal to the at least one electrode to suppress a vestibular system of the person; and maintaining the suppression for a duration sufficient to reduce motion sickness symptoms in the person.

25. The method of claim 24, wherein the alternating current signal comprises a bipolar rectangular wave with a duty cycle of approximately 50%.

26. The method of claim 24, wherein positioning the at least one electrode comprises positioning a pair of electrodes on opposing sides of a head of the person.

27. The method of claim 26, wherein the pair of electrodes are positioned proximate to mastoid processes of the person.

28. The method of claim 24, wherein reducing the current comprises reducing the current by approximately 0.08 mA to 0.3 mA below the perception threshold.

29. The method of claim 24, wherein maintaining the suppression comprises applying the calibrated alternating current signal for a duration of at least 2 minutes before the person enters a motion-inducing environment.

30. The method of claim 29, wherein the motion-inducing environment comprises an extended reality environment.

31. The method of claim 24, further comprising monitoring physiological parameters of the person during the suppression to assess effectiveness of the suppression.

32. The method of claim 31, wherein the physiological parameters comprise heart rate and perspiration data.401626944045

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