Forest health care activity system and evaluation method thereof

Abstract

The invention is suitable for the field of health care treatment, and provides a forest health care activity system and an evaluation method thereof. The multi-sensory collaboration module comprises a cross-modal sensory calibration unit; a physiological sensing module; the intelligent evaluation module is used for calculating immersion degree and healing effect indexes based on a multi-dimensional quantitative model, and dynamically optimizing sensory stimulation parameters according to corresponding calculation results; the multi-dimensional quantitative model comprises a mapping relation between user physiological features and sensory stimulation parameters; the safety interaction module is used for monitoring abnormal fluctuation of the physiological indexes of the user in real time and triggering a sensory stimulation intensity down-regulation mechanism when the abnormal fluctuation exceeds a safety threshold value; regional and body restrictions of traditional forest health care are broken through, and immersive experience is provided for groups such as disabled people through multi-module cooperation. The immersion is enhanced through multi-sensory cooperation, personalized optimization is achieved through intelligent evaluation, user safety is guaranteed through safe interaction, and the universality and effectiveness of forest rehabilitation are further improved.

Description

TECHNICAL FIELD

[0001] The present application belongs to the field of health care treatment, and particularly relates to a forest health care activity system and an evaluation method thereof. BACKGROUND

[0002] Traditional forest health care activities rely on the physical properties of the natural environment, and their implementation range is limited to specific ecological conditions, making it difficult to be widely carried out in areas with limited ecological resources or urbanization. At the same time, such activities are restricted by the physical function and activity ability of the participants, and groups such as the disabled, the elderly and children often cannot participate due to objective conditions, resulting in significant limitations in service coverage.

[0003] The existing technology focuses on the stimulation of a single sensory dimension for the implementation of forest health care, lacks systematic construction of the synergistic effect of multiple senses, and is difficult to achieve a deep immersive healing experience, so that traditional forest health care has room for improvement in universality and depth of experience. In order to break through the above limitations and break the dependence of traditional forest health care on region and physical condition, so that special groups can obtain the effect of close-to-site forest healing, the present application is dedicated to constructing a forest health care system integrating multi-sensory interaction. SUMMARY

[0004] The present application aims to provide a forest health care activity system and an evaluation method thereof, which aims to solve the problems raised in the background art.

[0005] The present application is implemented in the following way. On the one hand, a forest health care activity system, the system comprises:

[0006] A multi-sensory synergy module for generating a virtual forest scene and synchronously outputting visual, auditory and tactile stimuli, the multi-sensory synergy module comprises a cross-modal sensory calibration unit for realizing real-time collaborative matching of visual frame rate, auditory spectrum and tactile feedback intensity;

[0007] A physiological perception module for collecting multiple physiological indicators of a user and converting them into corresponding physiological state parameters;

[0008] An intelligent evaluation module for calculating an immersion degree and a healing effect index based on a multi-dimensional quantification model, and dynamically optimizing sensory stimulation parameters according to the corresponding calculation results;

[0009] The multi-dimensional quantification model comprises a mapping relationship between user physiological characteristics and sensory stimulation parameters;

[0010] A safe interaction module for real-time monitoring of abnormal fluctuations in user physiological indicators, triggering a sensory stimulation intensity down-regulation mechanism when the safety threshold is exceeded.

[0011] As a further scheme of the present application, the cross-modal sensory calibration unit specifically comprises:

[0012] a scene generation unit configured to generate a personalized virtual forest scene according to the user's age, physiological characteristics and preferences, and comprising a terrain complexity adaptive adjustment subunit;

[0013] a sensory feedback unit configured to dynamically adjust the orientation parameter of the auditory signal and the spatial distribution characteristics of the tactile stimulus based on the user's real-time interaction behavior.

[0014] As a further further scheme of the present application, the physiological perception module specifically comprises:

[0015] a non-invasive sensing unit configured to collect physiological signals of the user's heart rate variability, electrodermal activity and respiratory rate;

[0016] a signal preprocessing unit configured to perform noise reduction and filtering processing on the collected physiological signals and convert them into standardized physiological state parameters.

[0017] As a further scheme of the present application, the sensory stimulus intensity down-regulation mechanism specifically comprises:

[0018] the real-time physiological state parameters output by the physiological perception module When the real-time physiological safety index is lower than the preset safety threshold, the down-regulation process is started;

[0019] According to the interval of the real-time physiological state parameters perform hierarchical down-regulation:

[0020] When 0.5≤ < 0.6, trigger first-level down-regulation: the brightness of the visual scene is reduced by 10%-15%, the number of dynamic elements is reduced by 20%; the volume of the auditory signal is reduced by 5%-20%, and the proportion of high-frequency components is reduced by 10%; the pressure of the tactile feedback is reduced by 20%-25%, and the vibration frequency is reduced by 10Hz-15Hz;

[0021] When 0.4≤ < 0.5, trigger second-level down-regulation: the visual scene is switched to a static picture, and the brightness is reduced by another 10% based on the first-level down-regulation; the auditory signal is switched to a single low-frequency stream sound, and the volume is reduced by another 15% based on the first-level down-regulation; the tactile feedback is suspended and only passive touch response is retained;

[0022] When < 0.4, trigger third-level down-regulation: suspend the active stimulus output of the multi-sensory coordination module, and only retain the basic guidance interface;

[0023] During the down-regulation process, the cross-modal sensory calibration unit is used to maintain the coordination of the sensory stimulus parameters and maintain the down-regulation ratio of the visual brightness and the auditory volume at 1:1.2, so as to avoid sudden changes in single modalities causing user discomfort.

[0024] Real-time monitoring The recovery situation, when it lasts for 30 seconds When the intensity is ≥0.7, the stimulation intensity is gradually restored in reverse order of the original downgrade level, with a 10-second interval between each restoration level.

[0025] As a further aspect of the present invention, the calculation process of the real-time physiological safety index is as follows:

[0026] ;

[0027] In the formula, For the first Real-time monitoring values ​​of several physiological indicators For the first Safety thresholds for several physiological indicators This represents the total number of physiological indicators.

[0028] As a further aspect of the present invention, another method for evaluating forest-based health and wellness activities includes:

[0029] It connects to the physiological perception module to collect physiological indicator data of users during their interaction in the virtual forest scene, as well as behavioral data generated by users' interaction with the multi-sensory collaboration module;

[0030] The collected physiological index data is denoised and filtered to convert the behavioral data into standardized interaction feature parameters.

[0031] Calculate dynamic immersion Healing effect index ;

[0032] Dynamic immersion Healing effect index Feedback is sent to the intelligent assessment module, which, based on the mapping relationship between user physiological characteristics and sensory stimulation parameters in the multi-dimensional quantitative model, generates and sends sensory stimulation parameter adjustment instructions to the multi-sensory collaboration module.

[0033] As a further aspect of the present invention, the calculation of dynamic immersion... Healing effect index The calculation processes are as follows:

[0034] ;

[0035] In the formula, Visual scene matching degree, which is the degree of overlap between the features of the virtual scene and the user's preferred forest type. Auditory rhythm synchronicity, that is, the coordination coefficient between the sound signal and the user's breathing frequency. a matching value of the intensity of the tactile stimulation and the tactile sensitivity of the user, a coupling degree of physiological response, a corresponding weight coefficient, and ;

[0036] ;

[0037] wherein, is a change in the physiological stress parameter before and after the forest health care activity intervention, is a baseline physiological stress parameter fluctuation threshold, is the subjective satisfaction of the user, is a corresponding correction coefficient.

[0038] As a further scheme of the present application, the physiological index data includes heart rate variability, skin electrical response, and respiratory rate, and the behavior data includes the gaze duration of the user with the visual scene, the response duration of the user with the auditory stimulation, and the interaction frequency of the user with the tactile feedback.

[0039] As a further scheme of the present application, the dynamic immersion degree and the healing effect index are fed back to the intelligent evaluation module, which further includes:

[0040] based on the healing effect index to divide the user into a healing level;

[0041] personalized stimulation parameter adjustment suggestions adapted to the multi-sensory coordination module are generated for different levels, and the suggestions include specific adjustment values of the visual scene complexity, the auditory signal intensity, and the tactile feedback intensity.

[0042] As a further scheme of the present application, the forest health care activity evaluation method further includes:

[0043] calculating a multi-sensory synchrony index ;

[0044] The calculation process of the multi-sensory synchrony index is as follows:

[0045] ;

[0046] wherein, is the generation time of the visual stimulation signal, is the generation time of the auditory stimulation signal, is the generation time of the tactile stimulation signal, is the average time of the above three, the value range is .

[0047] This invention provides a forest-based health and wellness activity system and its assessment method, breaking through the geographical and physical limitations of traditional forest-based health and wellness activities. Through multi-module collaboration, it provides an immersive experience for groups such as people with mobility impairments. Multi-sensory collaboration enhances the sense of immersion, intelligent assessment enables personalized optimization, and secure interaction ensures user safety, further improving the universality and effectiveness of forest-based health and wellness activities. Attached Figure Description

[0048] Figure 1 This is a main structural diagram of a forest-based health and wellness activity system.

[0049] Figure 2 This is a structural block diagram of a cross-modal sensory calibration unit in a forest health and wellness activity system.

[0050] Figure 3 This is a structural block diagram of the physiological perception module in a forest health and wellness activity system.

[0051] Figure 4 This is a flowchart of a sensory stimulation intensity reduction mechanism in a forest-based health and wellness activity system.

[0052] Figure 5 This is the main flowchart of an assessment method for forest-based health and wellness activities.

[0053] Figure 6 This is a flowchart of physiological and behavioral data structures in a method for evaluating forest health and wellness activities.

[0054] Figure 7 This is a flowchart of a forest health and wellness activity evaluation method that feeds back dynamic immersion and healing effect index to an intelligent evaluation module. Detailed Implementation

[0055] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0056] The specific implementation of the present invention will be described in detail below with reference to specific embodiments.

[0057] The present invention provides a forest health and wellness activity system and its evaluation method, which solves the technical problems in the background art.

[0058] like Figure 1 The diagram shown is a main structural diagram of a forest health and wellness activity system according to an embodiment of the present invention. The forest health and wellness activity system includes:

[0059] The multi-sensory coordination module 100 is used for generating a virtual forest scene and synchronously outputting visual, auditory and tactile stimuli, and the multi-sensory coordination module comprises a cross-modal sensory calibration unit 101 used for realizing real-time coordinated matching of a visual frame rate, an auditory spectrum and a tactile feedback intensity.

[0060] The physiological perception module 200 is used for collecting multiple physiological indexes of a user and converting the multiple physiological indexes into corresponding physiological state parameters.

[0061] The intelligent evaluation module 300 is used for calculating an immersion degree and a healing effect index based on a multi-dimensional quantification model, and dynamically optimizing sensory stimulation parameters according to corresponding calculation results.

[0062] The multi-dimensional quantification model comprises a mapping relationship between physiological characteristics of a user and sensory stimulation parameters.

[0063] The safe interaction module 400 is used for monitoring abnormal fluctuations of physiological indexes of a user in real time, and triggering a sensory stimulation intensity reduction mechanism when a safety threshold is exceeded.

[0064] In application, the multi-sensory coordination module 100 is used as a core part, and when a virtual forest scene is generated, the cross-modal sensory calibration unit is used to realize real-time coordinated matching of a visual frame rate, an auditory spectrum and a tactile feedback intensity, a coordinated mechanism of which is based on a time difference threshold of human body to multi-sensory information reception, so as to ensure that a time deviation of each sensory stimulation when transmitted to the human body is within a range acceptable by human eyes and human ears, thereby enhancing immersion. The physiological perception module 200 is responsible for collecting multiple physiological indexes of a user, and a non-invasive method is used in a collection process, such as collecting through a skin sensor, so as to avoid discomfort to the user. Raw data collected is converted into corresponding physiological state parameters. The multi-dimensional quantification model of the intelligent evaluation module 300 is constructed based on a large amount of correlation data of physiological characteristics of a user and sensory stimulation parameters in a forest health care case, and an immersion degree and a healing effect index calculated through the model can provide accurate basis for dynamically optimizing sensory stimulation parameters, so as to enable the system to output more user demand-adapted stimulation. The safe interaction module 400 monitors physiological indexes of a user in real time, and a safety threshold preset is derived from a safety range of physiological indexes of a human body in medical research. When it is monitored that an abnormal fluctuation of an index exceeds the threshold, a sensory stimulation intensity reduction mechanism is triggered immediately, thereby ensuring safety of the user.

[0065] As shown in FIG. 1, Figure 2 the cross-modal sensory calibration unit 101 specifically comprises:

[0066] The scene generation unit 1011 is used for generating a personalized virtual forest scene according to a user age, physiological characteristics and preferences, and comprises a terrain complexity self-adaptive adjustment subunit.

[0067] The sensory feedback unit 1012 can dynamically adjust the orientation parameter of the auditory signal and the spatial distribution characteristics of the tactile stimulus based on the user's real-time interaction behavior.

[0068] In the application of the embodiment, when the scene generation unit 1011 generates a personalized virtual forest scene, the age, physiological characteristics and preferences of the user are comprehensively considered. For children, bright and cartoon-like forest elements are generated; for the elderly, the elderly have weaker adaptability to dramatic visual changes, so the fast dynamic elements in the scene are reduced and gentler terrain is selected. The terrain complexity adaptive adjustment subunit adjusts according to the user's action ability data, and the user with weaker action ability corresponds to simpler terrain. The sensory feedback unit 1012 can respond to the user's interaction behavior in real time. When the user's head turns, the orientation parameter of the auditory signal will change accordingly, simulating the change in the orientation of the sound in the real environment; when the user's hand moves on the tactile feedback device, the spatial distribution characteristics of the tactile stimulus will be adjusted accordingly. Through personalization and real-time response, the user's immersive experience is further improved.

[0069] As shown in Figure 3 , as a preferred embodiment of the present application, the physiological perception module 200 specifically includes:

[0070] The non-invasive sensing unit 201 is used to collect physiological signals such as heart rate variability, electrodermal activity and respiratory rate of the user;

[0071] The signal preprocessing unit 202 performs noise reduction and filtering processing on the collected physiological signals, and converts them into standardized physiological state parameters.

[0072] In the application of the embodiment, the non-invasive sensing unit 201 collects physiological signals such as heart rate variability, electrodermal activity and respiratory rate of the user. The non-invasive method is used to improve the user's comfort, so that the user can cooperate with the collection for a long time. The collection frequency is set to once per second, which can timely reflect the user's physiological changes and will not excessively consume device power. The signal preprocessing unit 202 performs noise reduction and filtering processing on the collected physiological signals. The processing algorithm used is based on mature technology in the field of signal processing, which can effectively remove noise such as motion interference and environmental electromagnetic interference, and ensure the purity of the signal. The processed signal is converted into a standardized physiological state parameter, so that the data collected by different users at different times is comparable.

[0073] As shown in Figure 4 , as a preferred embodiment of the present application, the sensory stimulation intensity down-regulation mechanism specifically includes:

[0074] The real-time physiological state parameters output by the physiological perception module are connected When the real-time physiological safety index is lower than the preset safety threshold, the down-regulation process is started;

[0075] According to the real-time physiological state parameter The interval is executed by hierarchical down-regulation:

[0076] When 0.5≤ <0.6, trigger first-level down-regulation: visual scene brightness is reduced by 10%-15%, the number of dynamic elements is reduced by 20%; auditory signal volume is reduced by 5%-20%, and the proportion of high-frequency components is reduced by 10%; tactile feedback pressure is reduced by 20%-25%, and vibration frequency is reduced by 10Hz-15Hz;

[0077] When 0.4≤ <0.5, trigger second-level down-regulation: the visual scene is switched to a static picture, and the brightness is reduced by 10% on the basis of the first-level down-regulation; the auditory signal is switched to a single low-frequency stream sound, and the volume is reduced by 15% on the basis of the first-level down-regulation; the tactile feedback is suspended and actively triggered, and only passive touch response is retained;

[0078] When <0.4, trigger third-level down-regulation: suspend the active stimulation output of the multi-sensory coordination module, and only retain the basic guide interface;

[0079] During the down-regulation process, the cross-modal sensory calibration unit is used to maintain the coordination of the sensory stimulation parameters, and the down-regulation ratio of visual brightness and auditory volume is kept at 1:1.2, which is used to avoid sudden changes in single modalities causing user discomfort;

[0080] Real-time monitoring of the real-time physiological state parameter When the continuous 30 seconds ≥0.7, the stimulation intensity is gradually recovered in the original down-regulation level in reverse, and each level recovery interval is 10 seconds.

[0081] It should be understood that the real-time physiological safety index threshold that triggers the downsizing process is determined by referencing critical values ​​of physiological indicators in humans before discomfort occurs, as observed in numerous clinical trials. When the index falls below this threshold, it indicates that the user may experience physiological discomfort. The tiered downsizing intervals are determined based on the correlation between the physiological safety index and the degree of human discomfort. A range of 0.5-0.6 may indicate mild discomfort, 0.4-0.5 indicates increased discomfort, and below 0.4 may indicate severe discomfort. The adjustment ranges for visual, auditory, and tactile parameters in each downsizing level are derived from multiple user tests, effectively reducing the user's sensory burden without causing abrupt changes. During the downsizing process, the synergy of various sensory parameters is maintained, with a 1:1.2 downsizing ratio between visual brightness and auditory volume, consistent with the human body's synergistic perception of multi-sensory stimuli, avoiding sudden changes in a single modality that could disrupt the user's immersion and cause discomfort. The recovery mechanism starts when the index is ≥0.7 for 30 consecutive seconds, ensuring that the user's physiological state truly recovers steadily. Each recovery level is spaced 10 seconds apart, allowing the user's physical and mental body time to adapt.

[0082] In a preferred embodiment of the present invention, the calculation process of the real-time physiological safety index is as follows:

[0083] ;

[0084] In the formula, For the first Real-time monitoring values ​​of several physiological indicators For the first Safety thresholds for several physiological indicators The total number of physiological indicators:

[0085] In this embodiment, when applied, the first... The real-time monitoring values ​​of these physiological indicators cover key metrics such as heart rate, blood pressure, and skin conductivity, which comprehensively reflect the body's physiological state. The safety thresholds for each physiological indicator are derived from the normal human physiological indicator ranges published by medical institutions. These thresholds were determined through statistical analysis of different age groups and genders, and therefore have broad applicability. (Total number of physiological indicators) Three to five items can be selected. This number is chosen because too few may not fully reflect the user's status, while too many would increase computational complexity and affect real-time performance. The significance of this calculation process is to quantify the monitoring results of multiple physiological indicators into an intuitive safety index, which facilitates the safety interaction module in quickly determining whether to trigger a downgrade mechanism.

[0086] like Figure 5 As shown, in another preferred embodiment of the present invention, a method for evaluating forest health and wellness activities is provided, the method comprising:

[0087] Step S100: interface with the physiological perception module to collect physiological index data of the user during interaction in the virtual forest scene, and behavior data generated by the user interacting with the multi-sensory coordination module;

[0088] Step S200: denoising and filtering processing of the collected physiological index data, and conversion of the behavior data into standardized interaction feature parameters;

[0089] Step S300: calculation of dynamic immersion degree and healing effect index ;

[0090] Step S400: feedback of dynamic immersion degree and healing effect index to the intelligent evaluation module. Combined with the mapping relationship between the user's physiological characteristics and the sensory stimulation parameters in the multi-dimensional quantification model, the sensory stimulation parameter adjustment instruction is generated and sent to the multi-sensory coordination module.

[0091] In the application of this embodiment, when the physiological perception module collects data, the physiological index data is collected once every minute, and the behavior data is collected in real time at the key nodes of user interaction with the system, which can ensure the continuity of the data and capture important interaction information. Denoising and filtering processing of the physiological index data ensures consistent data quality; conversion of the behavior data into standardized interaction feature parameters enables comparison of different types of behavior data in the same dimension. After calculating the dynamic immersion degree and the healing effect index, the intelligent evaluation module is fed back to realize the reverse adjustment of the evaluation results to the system parameters, so that the intelligent evaluation module can optimize the sensory stimulation parameters according to the evaluation results. The function of dynamic optimization of the intelligent evaluation module forms a closed loop, improves the self-adaptive ability of the system, generates and sends sensory stimulation parameter adjustment instructions to the multi-sensory coordination module based on the mapping relationship between the user's physiological characteristics and the sensory stimulation parameters in the multi-dimensional quantification model, and dynamically optimizes the coordination parameters of the visual frame rate, the auditory spectrum, and the intensity of the tactile feedback. If the dynamic immersion degree is lower than the preset threshold, the visual scene matching degree and the auditory rhythm synchronization parameters are adjusted first; if the healing effect index does not reach the target value, the tactile feedback adaptation degree and the sensory stimulation duration are adjusted based on the change amount of the user's physiological stress parameters.

[0092] As another preferred embodiment of the present application, the calculation process of the dynamic immersion degree and healing effect index is as follows:

[0093] ;

[0094] In the formula, is the visual scene matching degree, that is, the degree of coincidence between the virtual scene and the user's preferred forest type features, a hearing rhythm synchronicity, i.e. a coordination coefficient of a sound signal and a user's breathing frequency, a tactile feedback adaptation, i.e. a matching value of a tactile stimulation intensity and a user's tactile sensitivity, a physiological response coupling degree, a corresponding weight coefficient, and ;

[0095] ;

[0096] wherein, respectively a physiological stress parameter change amount before and after the forest health care activity intervention, a reference physiological stress parameter fluctuation threshold value, a user subjective satisfaction degree, a corresponding correction coefficient.

[0097] In application, the visual scene matching degree is obtained by comparing the features of the virtual forest scene, such as tree species, terrain, weather, with the preference questionnaire content filled in by the user at the initial setting of the system. The higher the coincidence degree, the higher the matching degree score. The design of the preference questionnaire refers to the research on environmental preference in psychology. The hearing rhythm synchronicity is calculated by analyzing the degree of coincidence between the frequency of the sound signal and the user's breathing frequency. The higher the coincidence degree, the better the synchronicity. The tactile feedback adaptation is determined according to the user's response data to different intensity tactile stimulation, to judge the matching degree of the current tactile stimulation intensity and the user's tactile sensitivity. The determination of each weight coefficient is based on a large amount of experimental data, and the influence degree of different sensory stimulation on the user's immersion is analyzed and distributed. In the healing effect index, the physiological stress parameter change amount before and after the intervention is usually represented by the change of cortisol concentration, heart rate variability and other indicators. The reference physiological stress parameter fluctuation threshold value comes from the physiological stress parameter monitoring statistics of normal people in a non-health care state. The user subjective satisfaction degree is obtained by filling in the scoring questionnaire by the user after the activity. The correction coefficient is determined according to the importance of physiological data and subjective evaluation in the healing effect evaluation.

[0098] As shown in Figure 6 , as another preferred embodiment of the present application, the physiological indicator data includes heart rate variability, skin electrical response, breathing frequency, and the behavior data includes the user's gaze duration with the visual scene, the user's response duration with the auditory stimulation, and the user's interaction times with the tactile feedback.

[0099] The heart rate variability in the physiological index data can reflect the function of the autonomic nervous system of the user, the galvanic skin response is closely related to emotional changes, and the respiratory rate can reflect the relaxation degree of the user. The above indexes are highly related to stress and emotional state. The gaze duration in the behavior data reflects the attention degree of the user to different elements in the visual scene, the response duration reflects the reaction speed of the user to the auditory stimulus, and the interaction times reflect the participation degree of the user to the tactile feedback. The behavior data can reflect the immersion degree and interest point of the user from the side. The significance of collecting these data is that the physiological index data can objectively reflect the physiological state changes of the user, the behavior data can reflect the subjective participation of the user, and the combination of the two makes the evaluation more comprehensive, which is consistent with the idea of multi-dimensional evaluation, and provides a rich data basis for calculating the dynamic immersion degree and the healing effect index.

[0100] As Figure 7 shown, as another preferred embodiment of the present application, the dynamic immersion degree and the healing effect index are fed back to the intelligent evaluation module, and the method further comprises the following steps:

[0101] Step S401: dividing the user healing level based on the healing effect index;

[0102] Step S402: generating a personalized stimulation parameter adjustment suggestion adapted to the multi-sensory coordination module for different levels, the suggestion including specific adjustment values of visual scene complexity, auditory signal intensity, and tactile feedback intensity;

[0103] In the application of the embodiment, the user healing level is divided based on the healing effect index, and the level division standard refers to the distribution of the healing effect in a large number of health cases. The healing level can be divided into four levels: excellent, good, general, and needs to be improved. Each level corresponds to a specific index range. The personalized stimulation parameter adjustment suggestion generated for different levels is formulated according to the common characteristics of users in the level, such as users with general healing effect, which may need to appropriately increase the auditory signal intensity and increase the proportion of green plants in the visual scene. The specific adjustment values come from the experimental analysis of the healing effect under different parameter combinations, so that the system can accurately optimize according to the evaluation results.

[0104] As another preferred embodiment of the present application, the forest health care activity evaluation method further comprises the following steps:

[0105] calculating a multi-sensory synchrony index ;

[0106] The calculation process of the multi-sensory synchrony index is as follows:

[0107] ; ​

[0108] wherein, is the visual stimulus signal generation time, is the auditory stimulus signal generation time, is the tactile stimulus signal generation time, is the average time of the above three, is in the range of .

[0109] In the application of this embodiment, the collection of visual, auditory, and tactile stimulus signal generation times is accurate to the millisecond level to ensure the accuracy of time calculation. The average time of the three is obtained by simple arithmetic average, reflecting the central time point of the generation of the three stimulus signals. The value range of the multi-sensory synchrony index is set to [0, 1], 0 indicates that the three stimulus signal generation times are very different and completely unsynchronized, and 1 indicates that the three times are completely consistent and have excellent synchrony. The calculation of the multi-sensory synchrony index has the significance of evaluating the working effect of the cross-modal sensory calibration unit in the multi-sensory collaboration module. The better the synchrony, the easier it is to maintain the user's immersion, which echoes the functional target of the cross-modal sensory calibration unit, provides a quantitative index for evaluating the multi-sensory collaboration effect of the system, and thus enriches the dimension of the evaluation method.

[0110] The forest health care activity system provided in the above embodiments of the present application and the forest health care activity evaluation method provided by the present application, through the multi-sensory coordination module as the core part, when generating a virtual forest scene, through the cross-modal sensory calibration unit, the visual frame rate, the auditory spectrum and the tactile feedback intensity are matched in real time, the coordination mechanism is based on the time difference threshold of human body receiving multi-sensory information, and the time deviation of each sensory stimulation when transmitted to the human body is ensured to be within the acceptable range of human eyes and human ears, so as to enhance the immersion. The physiological perception module is responsible for collecting multiple physiological indicators of the user, and the collection process adopts a non-invasive method, such as collecting through a skin sensor, to avoid discomfort to the user. The original data collected will be converted into corresponding physiological state parameters. The multi-dimensional quantitative model of the intelligent evaluation module is based on a large number of correlation data of user physiological characteristics and sensory stimulation parameters in forest health care cases. The immersion degree and healing effect index calculated by the model can provide accurate basis for dynamically optimizing the sensory stimulation parameters, and the system can output stimulation that better meets the needs of the user. The safety interaction module monitors the physiological indicators of the user in real time, and the preset safety threshold is derived from the safety range of human physiological indicators in medical research. When the abnormal fluctuation of the monitored indicators exceeds the threshold, the sensory stimulation intensity reduction mechanism is triggered immediately to ensure the safety of the user. The traditional forest health care is broken through the geographical and physical limitations, and the multi-module coordination provides an immersive experience for groups such as people with limited mobility. Multi-sensory coordination enhances immersion, intelligent evaluation realizes personalized optimization, and safety interaction ensures user safety, further improving the universality and effectiveness of forest health care.

[0111] In order to enable the above-mentioned method and system to run smoothly, the system can include more or fewer components than described above, or combine certain components, or different components, such as input and output devices, network access devices, buses, processors and memories.

[0112] The processor can be a central processing unit, and can also be other general-purpose processors, digital signal processors, application-specific integrated circuits, ready-to-program gate arrays or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor, etc. The above processor is the control center of the system, and is connected with various parts through various interfaces and lines.

[0113] The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, all possible combinations of the technical features in the above embodiments are not described, but as long as the combination of the technical features does not exist, it should be considered as the scope of the present application.

[0114] The above embodiments only express several implementation manners of the present application, which are described in a more specific and detailed manner, but should not be understood as a limitation on the patent scope of the present application. It should be noted that, for ordinary skilled persons in the art, several modifications and improvements can be made without departing from the concept of the present application, which are all within the protection scope of the present application. Therefore, the protection scope of the patent of the present application should be subject to the appended claims.

[0115] The above merely describes the preferred embodiments of the present application and should not be used to limit the present application. Any modification, equivalent replacement and improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims

1. A forest healing activity system, characterized in that, The system comprises: A multi-sensory coordination module for generating a virtual forest scene and synchronously outputting visual, auditory and tactile stimuli, the multi-sensory coordination module comprising a cross-modal sensory calibration unit for realizing real-time coordinated matching of visual frame rate, auditory spectrum and tactile feedback intensity; A physiological perception module for collecting multiple physiological indicators of a user and converting them into corresponding physiological state parameters; An intelligent evaluation module for calculating an immersion degree and a healing effect index based on a multi-dimensional quantification model, and dynamically optimizing sensory stimulation parameters according to the corresponding calculation results; The multi-dimensional quantification model comprises a mapping relationship between user physiological characteristics and sensory stimulation parameters; A safe interaction module for real-time monitoring of abnormal fluctuations in user physiological indicators, and triggering a sensory stimulation intensity reduction mechanism when the safety threshold is exceeded. 2.The forest rehabilitation activity system according to claim 1, characterized in that, The cross-modal sensory calibration unit specifically comprises: A scene generation unit that can generate a personalized virtual forest scene according to user age, physiological characteristics and preferences, including a terrain complexity adaptive adjustment subunit; A sensory feedback unit that can dynamically adjust the orientation parameters of auditory signals and the spatial distribution characteristics of tactile stimuli based on user real-time interaction behavior. 3.The forest rehabilitation activity system according to claim 1, characterized in that, The physiological perception module specifically comprises: A non-invasive sensing unit for collecting physiological signals of user heart rate variability, skin electrical activity and respiratory rate; A signal preprocessing unit for noise reduction, filtering processing and conversion of the collected physiological signals into standardized physiological state parameters. 4.The forest rehabilitation activity system according to claim 1, characterized in that, The sensory stimulation intensity reduction mechanism specifically comprises: real-time physiological state parameters outputted by the interfaced physiological perception module when the real-time physiological safety index a down-regulation procedure is initiated According to real-time physiological state parameters Perform hierarchical down-regulation in the interval When 0.5≤ When <0.6, trigger a first-level down-regulation: the visual scene brightness is reduced by 10%-15%, the number of dynamic elements is reduced by 20%; the auditory signal volume is reduced by 5%-20%, the proportion of high-frequency components is reduced by 10%; the pressure of tactile feedback is reduced by 20%-25%, and the vibration frequency is reduced by 10Hz-15Hz; When 0.4≤ When 0.5 < x < 0.6, trigger secondary down-regulation: visual scene switches to static picture, brightness is reduced by 10% on the basis of primary down-regulation; auditory signal switches to single low-frequency stream sound, volume is reduced by 15% on the basis of primary down-regulation; haptic feedback suspends active triggering, only passive touch response is retained; When When < 0.4, trigger tertiary down-regulation: suspend active stimulation output of the multi-sensory coordination module, only keep the basic guidance interface; During the reduction process, the cross-modal sensory calibration unit maintains the coordination of each sensory stimulation parameter, maintains the 1:1.2 correlation between the reduction ratio of visual brightness and auditory volume, and avoids single-mode sudden changes that cause user discomfort. Real-time monitoring When the recovery situation is good, when the consecutive 30 seconds ≥ 0.7, the stimulation intensity is gradually recovered in the reverse direction at the original down-regulation level, and each level recovery interval is 10 seconds. 5.The forest rehabilitation activity system according to claim 4, characterized in that, The calculation process of the real-time physiological safety index is as follows: ； In the formula, is the first real-time monitoring value of the physiological index, is the first safety threshold value of the physiological index, is the total number of physiological indexes.

6. A forest healing activity evaluation method, characterized in that, The forest health activity system according to any one of claims 1-5, the method comprising: Connecting the physiological perception module to collect physiological indicator data of the user during interaction in the virtual forest scene, and behavior data generated by the user interacting with the multi-sensory coordination module; Noise reduction, filtering processing of the collected physiological indicator data, and conversion of the behavior data into standardized interaction feature parameters; Computing dynamic immersion and healing effect index ; Dynamic immersion degree And healing effect index The feedback is sent to the intelligent evaluation module, and the mapping relationship between the physiological characteristics of the user and the sensory stimulation parameters in the multi-dimensional quantitative model is combined to generate and send a sensory stimulation parameter adjustment instruction to the multi-sensory coordination module.

7. The forest rehabilitation activity evaluation method according to claim 6, characterized in that, The calculation of the dynamic immersion and the healing effect index The calculation process is as follows: ； wherein, is the visual scene matching degree, i.e. the feature coincidence degree of the virtual scene and the user's preferred forest type, is the auditory rhythm synchronicity, i.e. the coordination coefficient of the sound signal and the user's breathing frequency, is the tactile feedback adaptation degree, i.e. the matching value of the tactile stimulation intensity and the user's tactile sensitivity, is the physiological response coupling degree, is the corresponding weight coefficient, and ; ； In the formula, respectively, the physiological stress parameter change amount before and after the forest health and rehabilitation activity intervention, is a baseline physiological stress parameter fluctuation threshold, is a user subjective satisfaction, is a corresponding correction coefficient. 8.The forest therapy activity evaluation method of claim 6, wherein, The physiological indicator data includes heart rate variability, skin electrical response, and respiratory rate, and the behavior data includes user gaze duration on the visual scene, user response duration to auditory stimuli, and user interaction frequency with tactile feedback. 9.The forest therapy activity evaluation method of claim 6, wherein, Said dynamic immersion And healing effect index The feedback to the intelligent evaluation module further comprises: Based on healing effect index Divide user healing levels; For different levels, generate personalized stimulation parameter adjustment suggestions that are adapted to the multi-sensory coordination module, the suggestions including specific adjustment values for visual scene complexity, auditory signal intensity, and tactile feedback intensity. 10.The forest rehabilitation activity evaluation method according to claim 6, characterized in that, The forest health activity evaluation method further comprises: Computing a multisensory synchrony index ; The multisensory synchrony index The calculation process is as follows: ； In the formula, is the generation time of the visual stimulus signal, is the generation time of the auditory stimulus signal, is the generation time of the tactile stimulus signal, is the average time of the above three, The value range is .

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