Forest therapy program prescription method and forest therapy program prescription system for providing plant fragrances

Abstract

A forest therapy program prescription method and system are provided. The forest therapy program prescription system receives a pre-bio-signal measurement value from a sensor attached to a user, receives user input information from the user, analyzes the pre-bio-signal measurement value so as to calculate, on the basis of data stored in a storage unit, a first score numerically representing the necessity of each of a plurality of plant fragrances having pharmacological efficacy, analyzes the user input information so as to calculate, on the basis of the data stored in the storage unit, a second score numerically representing the necessity of each of the plurality of plant fragrances having pharmacological efficacy, and provides, on the basis of the first score and the second score, a forest therapy program prescription that provides plant fragrances.

Description

Forest healing program prescription method and forest healing program prescription system that provide plant scents

[0001] The present invention relates to a forest healing program prescription method and a forest healing program prescription system that provide plant fragrance.

[0002] As humanity has developed modern civilization and made technological advancements, urbanization and industrialization have led to a shift away from nature and an adaptation to an artificial environment. As modern people adapt to living within this modern civilization, stress has become a root cause of numerous ailments, harming both physical and mental health.

[0003] In such stressful situations, humans encounter natural environments and become closer to the original human form, which brings them peace of mind and a sense of well-being. Furthermore, numerous studies have shown that natural environments are the most common and reliable places for recovering from mental exhaustion. In particular, phytoncide, a fragrant healing agent, helps effectively cope with stress by reducing stress and providing emotional stability.

[0004] Therefore, forest activities that provide plant scents can help people focus their attention and renew depleted abilities when dealing with large amounts of information and competing stimuli.

[0005] The present disclosure aims to provide a system that recommends a forest healing program necessary for a user based on user information, in order to maximize the positive effects of a forest healing program using plant scents.

[0006] The problem that the present disclosure seeks to solve is to provide a method for prescribing a forest healing program that provides plant fragrances having pharmacological effects.

[0007] Another challenge that the present disclosure seeks to address is to provide a forest healing program prescription system that provides plant fragrances with pharmacological efficacy.

[0008] The technical problems of the present disclosure are not limited to the technical problems mentioned above, and other technical problems not mentioned will be clearly understood by those skilled in the art from the description below.

[0009] A forest healing program prescription method according to some embodiments of the present disclosure for achieving the above task includes receiving a pre-biological signal measurement value from a sensor attached to a user, receiving user input information from the user, analyzing the pre-biological signal measurement value to calculate a first score representing the degree of necessity of each of a plurality of plant scents having pharmacological efficacy based on data stored in a storage unit, analyzing the user input information to calculate a second score representing the degree of necessity of each of a plurality of plant scents having pharmacological efficacy based on data stored in a storage unit, and providing a forest healing program prescription that provides the plant scent based on the first score and the second score.

[0010] In some embodiments of the present disclosure for achieving the above-described other tasks, a forest healing program prescription system includes a measuring unit for measuring a pre-vital signal from a sensor attached to a user, an input unit for receiving user input information from a user, a storage unit for storing data on the pharmacological efficacy of each of a plurality of plant scents, an analysis unit for analyzing the pre-vital signal measurement values ​​and calculating a first score representing the degree of necessity of each of the plurality of plant scents having pharmacological efficacy based on the data stored in the storage unit, and for analyzing the user input information and calculating a second score representing the degree of necessity of each of the plurality of plant scents having pharmacological efficacy based on the data stored in the storage unit, and a prescription unit for providing a forest healing program prescription that provides plant scents based on the first score and the second score.

[0011] Specific details of other embodiments are included in the forms and drawings for implementing the invention.

[0012] FIG. 1 is a block diagram illustrating a forest healing program prescription system according to some embodiments of the present disclosure.

[0013] FIG. 2 is a flowchart illustrating one of the preliminary operations of a forest healing program prescription system according to some embodiments of the present disclosure.

[0014] Figures 3a, 3b and 4a, 4b, 4c are drawings for explaining the operation of Figure 2.

[0015] Figure 5 is a table for explaining some of the operations illustrated in Figure 2.

[0016] FIG. 6 is a flowchart illustrating another one of the pre-operations of a forest healing program prescription system according to some embodiments of the present disclosure.

[0017] Figure 7 illustrates the data required to explain the operation of Figure 6.

[0018] Figure 8 is a table for explaining some of the operations illustrated in Figure 6.

[0019] FIG. 9 is a flowchart illustrating the prescription operation of a forest healing program prescription system according to some embodiments of the present disclosure.

[0020] Figures 10 and 11 are drawings necessary to explain the operation of Figure 9.

[0021] FIG. 12 is a block diagram illustrating a forest healing program prescription system according to some embodiments of the present disclosure.

[0022] Figure 13 is a block diagram for explaining the post-processing unit shown in Figure 12.

[0023] FIG. 14 is a flowchart illustrating the post-operation of a forest healing program prescription system according to some embodiments of the present disclosure.

[0024] FIG. 15 is a table illustrating the post-operation of a forest healing program prescription system according to some embodiments of the present disclosure.

[0025] FIG. 16 is a flowchart illustrating another post-operation of a forest healing program prescription system according to some embodiments of the present disclosure.

[0026] FIG. 17 is a table illustrating other post-operations of a forest healing program prescription system according to some embodiments of the present disclosure.

[0027] Below, the contents of the present disclosure will be described clearly and in detail using drawings to a degree that a person having ordinary skill in the art of the present disclosure can easily practice the present disclosure.

[0028] FIG. 1 is a block diagram illustrating a forest healing program prescription system according to some embodiments of the present disclosure.

[0029] Referring to Fig. 1, the forest healing program prescription system (1000) is a system for prescribing a forest healing program to a user. The forest healing program prescription system (1000) uses data stored in the storage unit (500) based on information received from the measurement unit (100) or the input unit (200), conducts analysis by the analysis unit (300), and prescribes a forest healing program required for the user based on the data stored in the storage unit (500).

[0030] For this operation, the forest healing program prescription system (1000) may include a measuring unit (100), an input unit (200), an analysis unit (300), a prescription unit (400), and a storage unit (500).

[0031] The measuring unit (100) can measure the bio-signals of a user using the forest healing program prescription system (1000). Bio-signals refer to signals that can determine the user's health status, and the bio-signal measurements measured by the measuring unit (100) may include brain wave measurements, cortisol measurements, etc., but the embodiments are not limited thereto.

[0032] In some embodiments, the measurement unit (100) may include a sensor for obtaining a user's biosignal and may include a receiving unit for obtaining the user's biosignal from an external sensor.

[0033] The measuring unit (100) may include a processor for controlling the operation of the measuring unit (100). The processor may include one or more CPU cores and may share the processor with other components within the forest healing program prescription system (1000).

[0034] The processor may further include an accelerator, a dedicated circuit for high-speed data operations, such as artificial intelligence (AI) data operations. Such accelerators may include a Graphics Processing Unit (GPU), a Neural Processing Unit (NPU), and / or a Data Processing Unit (DPU), and may be implemented as a separate chip physically independent from the processor.

[0035] The input unit (200) can receive information from users using the forest healing program prescription system (1000). Such user input information may include information on height, weight, gender, age, medications, allergies, stress tests, personality tests, or physical constitution tests, but embodiments are not limited thereto.

[0036] The input unit (200) may include an input interface to receive user information from a user. The input interface may receive various types of data input from an input device, and the input device may include, for example, a keypad, a keyboard, a mouse, a microphone, a touch pad, or a touch screen.

[0037] The analysis unit (300) can analyze the user's condition using the forest healing program prescription system (1000) based on information obtained from the measurement unit (100) and the input unit (200). The analysis unit (300) can analyze the user's condition and express the need for plant scents numerically. The need for plant scents may vary depending on the pharmacological efficacy of each plant scent.

[0038] The analysis unit (300) may include a processor for controlling the operation of the analysis unit (300). The processor may include one or more CPU cores and may share the processor with other components within the forest healing program prescription system (1000).

[0039] The prescription unit (400) can prescribe an optimal forest healing program to the user based on the values ​​obtained from the analysis unit (300). The forest healing program may be an activity utilizing plant scents, or a location containing plant scents or where the user may be exposed to plant scents. The type and level of plant scents included in the forest healing program may be stored in the storage unit (500). The operation of prescribing an optimal forest healing program to the user based on the information about the forest healing program stored in the storage unit (500) and the values ​​obtained from the analysis unit (300) will be described below with reference to FIG. 9.

[0040] The prescription unit (400) may include a processor for controlling the operation of the prescription unit (400). The processor may include one or more CPU cores and may share the processor with other components within the forest healing program prescription system (1000).

[0041] The storage unit (500) may store information necessary for the operation of the analysis unit (300). The information necessary for the operation of the analysis unit (300) may be information necessary for analyzing information obtained from the measurement unit (100) and the input unit (200). This may be information necessary for analyzing the status of a user using the forest healing program prescription system (1000) based on the information obtained from the measurement unit (100) and the input unit (200). In addition, it may be information necessary for quantifying the degree to which each plant scent is necessary for the obtained status of the user.

[0042] The storage unit (500) may store information necessary for the operation of the prescription unit (400). The storage unit (500) may store information on the type and degree of plant fragrance included in the forest healing program.

[0043] The storage unit (500) may include a memory. The memory is a computer-readable recording medium, which may be used as the main memory of the forest healing program prescription system (1000), and may include a volatile memory such as SRAM and / or DRAM.

[0044] Additionally, the storage unit (500) may further include a storage device. The storage device may function as a non-volatile storage device that stores data regardless of whether power is supplied, and may have a relatively large storage capacity compared to memory. The storage device may include a storage controller and non-volatile memory such as flash memory, PRAM, and / or RRAM that stores data under the control of the storage controller.

[0045] FIG. 2 is a flowchart illustrating one of the preliminary operations of a forest healing program prescription system according to some embodiments of the present disclosure. FIGS. 3a, 3b and 4a, 4b and 4c are diagrams illustrating the operation of FIG. 2.

[0046] Referring to FIG. 2, the forest healing program prescription system (1000) performs one of the pre-operations to calculate a first score through a pre-biological signal measurement value.

[0047] Referring to Fig. 2, a pre-biosignal is measured or a pre-biosignal measurement value is received (S110_1).

[0048] For example, the measurement unit (100) of the forest healing program prescription system (1000) may measure a user's pre-existing bio-signal or receive a pre-existing bio-signal measurement value from the user. In some embodiments, such pre-existing bio-signal measurement value may include an electroencephalogram (EEG) measurement value.

[0049] Referring again to Figure 2, the required pharmacological efficacy is determined (S120_1).

[0050] For example, the analysis unit (300) of the forest healing program prescription system (1000) can analyze the brain wave measurement values ​​received by the measurement unit (100) to determine the necessary pharmacological efficacy according to the user's condition.

[0051] Hereinafter, with reference to FIGS. 3a to 4c, the pharmacological effects of these actions and plant scents will be described in more detail.

[0052] Referring to Fig. 3a, a table (10) classifying brain wave values ​​according to the Hz region is shown. The table (10) shown in Fig. 3a classifies brain wave values ​​according to the Hz region. The type of brain wave is determined by the Hz region. The types of brain waves are, in order of decreasing Hz region, delta wave, theta wave, alpha wave, SMR, low beta wave, and high beta wave. The table (10) shown in Fig. 3a describes the colors that appear in the measurement graph for each brain wave type and the characteristics of the user's state when each brain wave type is dominant.

[0053] Specifically, the dominant brain wave type is determined based on the brain wave measurement values ​​when the user's eyes are open and closed, and the user's condition can be judged based on the determined dominant brain wave type based on Table (10) of Fig. 3a. The process of determining the dominant brain wave type can comprehensively consider not only the user's individual measurement information but also a database containing brain wave measurement values ​​of normal individuals. For example, the brain wave type that deviates the most from the reference value for each brain wave type according to the database can be determined as the dominant brain wave.

[0054] Fig. 3b is a table (20) in which the analysis unit (300) analyzes the brain wave measurement values ​​among the user's bio-signals. It can be confirmed that the user having the measurement values ​​of the table (20) of Fig. 3b has the largest deviation in the average intensity of the delta wave from the delta wave reference value compared to other brain wave types. Therefore, it can be seen that the user having the measurement values ​​of the table (20) of Fig. 3b has delta waves dominant among the measured brain waves. Referring to the table (10) of Fig. 3a, it can be seen that the user having the brain wave measurement values ​​of the table (20) of Fig. 3b has a high level of tension when the delta wave is high among the measured brain waves, and it can be determined that the user having the brain wave measurement values ​​of the table (20) of Fig. 3b has a high level of tension. The average intensity value for each brain wave type or the reference value for each brain wave type may vary depending on the individual.

[0055] FIG. 4A is a table (30) showing the types, extraction sites, and pharmacological effects of plant scents used in a forest healing program. The plant scents used in the forest healing program of the forest healing program prescription system according to some embodiments of the present disclosure may be obtained from flowers, leaves, trees, fruit peels, seeds, resins, and roots in nature, and the types of plant scents used in the program may be 25 or more in total. The plant scents may include, for example, plant essential oils. Information about these plant scents may be stored in the storage unit (500) and may be used when the analysis unit (300) analyzes the user's condition. Hereinafter, information about plant scents will be described in more detail with reference to FIGS. 4B and 4C.

[0056] FIG. 4b is a table (40) showing the chemical components of each plant scent and the pharmacological effects according to the chemical components. The plant scent used in the forest healing program of the forest healing program prescription system according to some embodiments of the present disclosure may have chemical components of the monoterpene, sesquiterpene, alcohol, oxide, aldehyde, ester, or ketone series. Specifically, there is a chemical component called limonene in the monoterpene series, and among the plant scents extracted in FIG. 4a above, plant scents including the molecular structure of limonene may include lemon and neroli. Each plant scent may have pharmacological effects such as sterilization, antiseptic, anti-allergic sedation, analgesic, antiviral hormone regulation, immune system stimulation, central nervous system stimulation, blood pressure reduction, cell regeneration, and relaxation depending on the type of chemical component series. For example, lemon, a plant fragrance belonging to the monoterpene family, can have pharmacological effects such as sterilization and antiseptic properties.

[0057] Figure 4c is a table (50) showing the electrical properties of each plant scent and the pharmacological efficacy of the plant scent according to the electrical properties. The plant scents used in the forest healing program of the forest healing program prescription system according to some embodiments of the present disclosure can be classified into groups of molecules with positive and negative charges based on their chemical structures.

[0058] +-charged molecules include monoterpenes, alcohols, phenols, oxides, lactones, coumarins, and acids. Most +-charged molecules have a prominent effect of energizing the body and enhancing immunity, and have bactericidal, tonic, stimulating, body temperature-raising, and endocrine-stimulating tonic effects.

[0059] - Electrically charged molecules include sesquiterpenes, diterpenes, ketones, aldehydes, and esters. - Electrically charged molecules have effects such as relaxation, nerve calming, and body temperature lowering.

[0060] For example, stress increases positive electricity in the body, so using a negatively charged plant scent can neutralize the electricity and have a calming effect.

[0061] Referring again to Figure 2, a first score indicating the user's need for plant scent can be calculated (S130_1).

[0062] For example, the analysis unit (300) of the forest healing program prescription system (1000) can calculate a first score indicating the user's need for each plant scent based on the pharmacological efficacy required by the user. The process of calculating the first score is described in detail below using FIG. 5.

[0063] Fig. 5 is a table for explaining some of the operations illustrated in Fig. 2. Referring to Fig. 5, a process for calculating a first score for a user having a bio-signal value of the table (20) of Fig. 3b is explained.

[0064] For example, a user with the bio-signal values ​​in Table (20) of Fig. 3b is in a state of high tension, and thus it can be determined that pharmacological effects of nerve calming or relaxation are required.

[0065] When calculating a first score for a user having the bio-signal values ​​of the table (20) of FIG. 3b, the analysis unit (300) may assign a high first score to a plant scent having a calming or relaxing effect. For example, a high first score may be assigned to plant scents A, B, and E containing chemical components a, b, and e having a calming or relaxing effect. In addition, a high first score may be assigned to plant scents A, C, and E having -electrical properties having a calming or relaxing effect.

[0066] Conversely, the analysis unit (300) may determine that a pharmacological effect of a tonic or stimulating effect is not necessary for a user having the biosignal values ​​of the table (20) of FIG. 3b. A low first score may be assigned to a plant scent D containing a chemical component d that has a tonic or stimulating effect. In addition, a low first score may be assigned to plant scents B and D that have +electrical properties that have a tonic or stimulating effect.

[0067] The first score is calculated by considering both the chemical composition and electrical properties of the plant scent, and comprehensively considering the intensity of the dominant brain wave and the intensity of all brain waves excluding the dominant brain wave in the measured biosignal values. The resulting first score can be either positive or negative.

[0068] FIG. 6 is a flowchart illustrating another preliminary operation of a forest healing program prescription system according to some embodiments of the present disclosure. FIG. 7 illustrates materials necessary for explaining the operation of FIG. 6.

[0069] Referring to FIG. 6, the forest healing program prescription system (1000) performs one of the pre-operations to calculate a second score through user input information.

[0070] Referring to Fig. 6, user input information is received (S110_2).

[0071] For example, user input information can be obtained from a user through the input unit (200) of the forest healing program prescription system (1000), and the analysis unit (300) can receive user input information from the input unit (200).

[0072] User input information may include, but is not limited to, information about height, weight, gender, age, medications, allergies, stress tests, personality tests, or physical constitution tests.

[0073] Referring to FIG. 7, there is an example of user input information obtained by the input unit (200) of the forest healing program prescription system (1000). For example, the user input information obtained by the input unit (200) may include questions regarding self-awareness and interpersonal relationships to assess self-esteem, questions regarding problem-coping skills to assess stress coping skills, and questions regarding the user's emotions.

[0074] Referring to Figure 6, the required pharmacological efficacy is determined (S120_2).

[0075] For example, the analysis unit (300) of the forest healing program prescription system (1000) can analyze the user input information obtained by the input unit (200) to determine the necessary pharmacological efficacy based on the user's condition. For convenience of explanation, the description of the process of determining pharmacological efficacy will focus on differences from those described in FIGS. 4a, 4b, and 4c.

[0076] For example, if the average score for the problem-focused coping domain items regarding stress coping is high, the analysis unit (300) may determine that the user is in a state of high tension. Subsequently, the analysis unit (300) may determine that a pharmacological effect of a calming or relaxing effect is necessary to reduce the user's tension.

[0077] Referring to Fig. 6, a second score can be calculated (S130_2).

[0078] For example, the analysis unit (300) of the forest healing program prescription system (1000) can produce a second score indicating the user's need for each plant scent according to the pharmacological efficacy required by the user.

[0079] Figure 8 is a table for explaining some of the operations illustrated in Figure 6. Referring to Figure 8, the process by which the analysis unit (300) calculates the second score is explained.

[0080] For example, for a user with a high average score on the problem-focused coping domain items regarding stress coping, a high second score may be assigned to a plant scent with a calming or relaxing effect when calculating the second score. The analysis unit (300) considers the chemical components and electrical properties of the plant scent to assign a second score to a plant scent with a calming or relaxing effect.

[0081] In addition, when calculating the second score, the analysis unit (300) comprehensively considers information on the user's medications, allergies, and physical examination among the user input information.

[0082] For example, if plant fragrance B does not match the user's constitution according to the user's constitution test input information, even plant fragrance B containing chemical ingredient b that has a soothing effect may be given a low second score.

[0083] The second score is calculated by considering both the chemical composition and electrical properties of the plant scent for the user input information, and the calculated second score can be either positive or negative.

[0084] FIG. 9 is a flowchart illustrating the forest healing program prescription operation of a forest healing program prescription system according to some embodiments of the present disclosure. FIG. 10 and FIG. 11 are diagrams necessary for explaining the operation of FIG. 9.

[0085] Referring to FIG. 9, the prescription unit (400) of the forest healing program prescription system (1000) performs an operation of prescribing a forest healing program using information obtained from the analysis unit (300).

[0086] Referring to Figure 9, the first score and the second score are added together to produce the third score (S210).

[0087] Specifically, the prescription unit (400) of the forest healing program prescription system (1000) receives from the analysis unit (300) a first score derived from one of the pre-actions and a second score derived from another of the pre-actions. The prescription unit (400) adds the received first and second scores to derive a third score indicating the user's need for plant scents. At this time, the third score may have a negative or positive value.

[0088] Referring to Figure 10, a third score is obtained by adding the first and second scores for each plant scent. For example, for plant scent B, the third score is -8, a negative value.

[0089] Referring again to Figure 9, the plant scents are listed in order of highest third score according to the sum (S220).

[0090] Specifically, the prescription (400) lists the combined third scores in order of highest third score, and when the third scores are the same, the plant scent with the highest first score has a higher order.

[0091] For example, in the example of Fig. 10, when listing the plant scents in order of the third score, the plant scents can be listed in the order of A, E, C, D, and B.

[0092] Next, referring again to Figure 9, a forest healing program including the plant scent with the highest third score is selected (S230).

[0093] Referring to Fig. 11, an example of a forest healing program stored in the storage unit (500) of the forest healing program prescription system (1000) can be seen. According to the example, the types of forest healing programs are A, B, C, D, and E, and each forest healing program can include one or more plant scents.

[0094] For example, if the plant scent with the highest third score is A, the prescription unit (400) can select programs A, B, and C that include plant scent A among the forest healing programs.

[0095] Referring to Fig. 9, it is determined whether the third score of all plant scents within the selected forest healing program (S230) is 0 or greater (S240).

[0096] If the third score of all plant scents within the selected forest healing program (S230) is 0 or higher (S240, Yes), the prescribing unit (400) prescribes the selected forest healing program (S251). The prescribed forest healing program may be one or more than one.

[0097] Forest healing programs that have a third score of all plant scents within the selected forest healing program (S230) that is not 0 or higher (S240, No) are excluded (S252).

[0098] Specifically, the prescription unit (400) determines whether the third score of all plant scents within the selected forest healing program is 0 or higher in order to prescribe a forest healing program that provides the user with optimal pharmacological efficacy.

[0099] For example, referring to FIGS. 10 and 11, the plant scent provided in Forest Healing Program A is A, and Plant scent A has a third score of 12, which is 0 or higher. The plant scents provided in Forest Healing Program B are A and B, and Plant scent B has a third score of -8, which is not 0 or higher. The plant scents provided in Forest Healing Program C are A and D, and Plant scent D has a third score of 0, which is 0 or higher. Therefore, the prescription unit (400) can prescribe Forest Healing Program A and D, excluding Forest Healing Program B.

[0100] Afterwards, excluding the forest healing programs in which the third score of all plant scents is not 0 or higher, the forest healing program including the plant scent with the highest third score is selected again (S230), and the above process (S230 to S252) is performed again until the optimal forest healing program for the user is prescribed (S251).

[0101] Figure 12 is a block diagram illustrating a forest healing program prescription system according to several other embodiments of the present disclosure. For convenience of explanation, the following description focuses on differences from the description using Figure 1.

[0102] Referring to Fig. 12, the forest healing program prescription system (1000') further includes a post-processing unit (600') that performs operations after the forest healing program is implemented in order to prescribe an optimal forest healing program to the user.

[0103] The post-processing unit (600') may include an operation of obtaining post-processing data from a user who has implemented a prescribed forest healing program, comparing user data before and after the program implementation, and updating data stored in the storage unit (500').

[0104] Figure 13 is a block diagram for explaining the post-processing unit shown in Figure 12.

[0105] Referring to FIG. 13, the post-processing unit (600') may include a receiving unit (610'), an evaluation unit (620'), or a machine learning unit (630').

[0106] The receiving unit (610') can receive post-biosignal measurement values ​​or post-user input information from the measuring unit (100') or the input unit (200').

[0107] The evaluation department (620') can provide evaluation results for the forest healing program by comparing the user status before and after the program.

[0108] The machine learning unit (630') can update the data stored in the storage unit (500) based on the evaluation results of the evaluation unit (620').

[0109] The machine learning unit (630') may include a processor for controlling the operation of the machine learning unit (630'), and may further include an accelerator, which is a dedicated circuit for high-speed data operations such as AI (artificial intelligence) data operations. In addition, the unit may further include a storage device for updating and storing data.

[0110] FIG. 14 is a flowchart illustrating the post-operation of a forest healing program prescription system according to some embodiments of the present disclosure.

[0111] Referring to Fig. 14, after the prescribed forest program is implemented (S310_1), the post-treatment bio-signal measurement values ​​are received (S320_1).

[0112] Specifically, after the user performs the forest healing program prescribed by the forest healing program prescription system (1000'), the receiving unit (610') receives the post-treatment bio-signal measurement values.

[0113] Next, referring to FIG. 14, the pre-biosignal measurement values ​​and the post-biosignal measurement values ​​are compared (S330_1), and the first evaluation results for the implemented forest healing program are provided (S340_1).

[0114] Specifically, the evaluation unit (620') can provide the first evaluation results for the implemented forest healing program by comparing the pre- and post-measurement bio-signal values.

[0115] For example, the first evaluation result may include information that can adjust a numerical value indicating the need for each plant scent based on the results of comparing the biosignal measurement values.

[0116] Referring to Figure 14, the first evaluation result is stored in the post-processing unit (S350_1). Specifically, the machine learning unit (630') can store the first evaluation result in the post-processing unit (600').

[0117] Next, the data stored in the storage unit (500') is updated based on the first evaluation result (S360_1).

[0118] Specifically, the machine learning unit (630') can update data stored in the storage unit (500') based on the first evaluation results. Through a post-process of updating data stored in the storage unit (500') based on the evaluation results, a more optimal forest healing program prescription can be provided to the user.

[0119] FIG. 15 is a diagram illustrating the post-operation of a forest healing program prescription system according to some embodiments of the present disclosure.

[0120] Fig. 15 is a drawing showing the evaluation result (70) according to the post-operation shown in Fig. 14.

[0121] Specifically, when comparing the user's bio-signals measured before and after the implementation of the forest healing program, the user's health status after the implementation of the forest healing program may show more alleviated results according to the bio-signal values ​​compared to before the implementation of the forest healing program. Among them, the brain wave measurement result when the right eye is closed may have the most significant healing effect. In this case, for example, the post-processing unit (600') may include a process of updating the data stored in the storage unit by performing machine learning to adjust the necessity of the plant scent used in the corresponding forest healing program to increase when analyzing the brain wave measurement value when the right eye is closed.

[0122] FIG. 16 is a flowchart illustrating another post-operation of a forest healing program prescription system according to some embodiments of the present disclosure.

[0123] Referring to Fig. 16, after the prescribed forest program is implemented (S310_2), post-user input information is received (S320_2).

[0124] Specifically, after a user implements a forest healing program prescribed by a forest healing program prescription system (1000'), the receiving unit (610') receives post-user input information.

[0125] For example, post-user input information may include a satisfaction survey after implementation of a prescribed forest healing program or a stress test after implementation of the program.

[0126] Next, referring to FIG. 16, the user input information and post-user input information are analyzed (S330_2), and the first evaluation result for the provided forest healing program is provided (S340_2).

[0127] Specifically, the evaluation unit (620') can analyze user input information and post-user input information to provide a first evaluation result for the provided forest healing program.

[0128] For example, the first evaluation result may include information that can adjust a numerical value representing the need for each plant scent based on the user's input satisfaction and stress index.

[0129] Referring to Fig. 16, the first evaluation result is stored in the post-processing unit (600') (S350_2).

[0130] Specifically, the machine learning unit (630') can store the first evaluation result in the post-processing unit (600').

[0131] Next, the data stored in the storage unit (500') is updated based on the first evaluation result (S360_2).

[0132] Specifically, the machine learning unit (630') can update data stored in the storage unit (500') based on the first evaluation results. Through a post-process of updating data stored in the storage unit (500') based on the evaluation results, a more optimal forest healing program prescription can be provided to the user.

[0133] FIG. 17 is a diagram illustrating another post-operation of a forest healing program prescription system according to some embodiments of the present disclosure.

[0134] Referring to Fig. 17, one can see the evaluation results (80) according to the post-operation illustrated in Fig. 16.

[0135] Specifically, when comparing user input data based on stress indices obtained before and after the program, it was confirmed that most stress indices were alleviated after the program compared to before. However, in terms of problem avoidance ability, the stress indices after the program worsened compared to before the program.

[0136] In this case, for example, the post-processing unit (600') may perform a process of updating data stored in the storage unit to perform machine learning to adjust the need for plant scents used in the forest healing program to lower the level of necessity for users with low problem avoidance ability.

[0137] Although the embodiments of the present disclosure have been described with reference to the attached drawings, the present disclosure is not limited to the embodiments described above, but can be manufactured in various different forms. Those skilled in the art to which the present disclosure pertains will understand that the present disclosure can be implemented in other specific forms without changing the technical spirit or essential characteristics of the present disclosure. Therefore, it should be understood that the embodiments described above are exemplary in all respects and not restrictive.

Claims

1. Receive preliminary bio-signal measurement values ​​from a sensor attached to the user, Receive user input information from the above user, By analyzing the above pre-biological signal measurement values ​​and based on the data stored in the storage unit, a first score is calculated that numerically represents the necessity of each of a plurality of plant scents having pharmacological efficacy, By analyzing the user input information above, a second score is calculated that numerically represents the necessity of each of the plurality of plant scents having the pharmacological efficacy based on the data stored in the storage unit, and A forest healing program prescription method comprising providing a forest healing program prescription that provides the plant scent based on the first score and the second score.

2. In paragraph 1, Calculating the above first score is as follows: Determine the required pharmacological efficacy from the above pre-measurement values ​​of biosignals, Including a numerical representation of the need for a plant fragrance having the above-mentioned required pharmacological efficacy, The above pharmacological effects are, A method of prescribing a forest healing program, classified according to the chemical composition or electrical properties of plant fragrances.

3. In paragraph 1, The above user input information is: A method of prescribing a forest healing program, which includes information about the user's input regarding height, weight, gender, age, medications, allergies, stress tests, personality tests, or constitution tests.

4. In paragraph 3, Calculating the above second score is as follows: Determine the required pharmacological efficacy from the above user input information, Including a numerical representation of the need for a plant fragrance having the above-mentioned required pharmacological efficacy, The above pharmacological effects are, A method of prescribing a forest healing program, classified according to the chemical composition or electrical properties of plant fragrances.

5. In paragraph 1, Providing a forest healing program prescription based on the above first and second scores, By adding the first score and the second score, a third score is calculated that numerically represents the necessity of each of the plurality of plant fragrances having the pharmacological efficacy. A method of prescribing a forest healing program, comprising providing a forest healing program that provides the greatest plant fragrance with the third score.

6. In paragraph 5, Providing a forest healing program prescription based on the above first and second scores, A method for prescribing a forest healing program, further comprising excluding a forest healing program that provides a plant scent having a negative third score among forest healing programs that provide a plant scent having the highest third score.

7. In paragraph 1, After the above prescribed forest healing program is implemented, at least one of post-user input information and post-vital signal measurement values ​​is received from the user, By comparing the pre-biosignal measurement value and the post-biosignal measurement value, or by comparing the user input information and the post-user input information, a first evaluation result for the prescribed forest healing program is provided, A method for prescribing a forest healing program, further comprising performing machine learning based on the first evaluation result and updating the data stored in the storage unit.

8. In paragraph 7, The above post-user input information is: How to prescribe a forest healing program, including information on program satisfaction surveys or stress tests.

9. A measuring unit that measures preliminary bio-signals from a sensor attached to the user; An input unit that receives user input information from the user; A storage unit storing data on the pharmacological efficacy of each of a plurality of plant scents; Based on the data stored in the storage unit by analyzing the above pre-measurement bio-signal values, a first score is calculated that numerically represents the necessity of each of a plurality of plant scents having pharmacological efficacy, An analysis unit that analyzes the user input information and calculates a second score that numerically represents the necessity of each of the plurality of plant scents having the pharmacological efficacy based on the data stored in the storage unit; and A forest healing program prescription system, comprising a prescription section that provides a forest healing program prescription that provides the plant fragrance based on the first and second scores.

10. In paragraph 9, Including a post-processing unit, The above post-processing unit, A receiving unit that receives at least one of a post-mortem bio-signal measurement value and post-mortem user input information from the user after the above prescribed forest healing program is implemented; An evaluation unit that compares the pre-biosignal measurement value with the post-biosignal measurement value or provides a first evaluation result for the prescribed forest healing program based on the user input information and the post-user input information; and A forest healing program prescription system further comprising a machine learning unit that updates data stored in the storage unit based on the first evaluation result.

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